The New South Wales Population Health Survey includes a dietary

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HEALTH STATISTICS
New South Wales
NSW Health Survey Data
(Latest available - April 2014)
More reports
from Health Statistics NSW are available at:
http://www.healthstats.nsw.gov.au/
Contents
Contents .................................................................................................................................................. 1
About the NSW Health Survey and School Students Survey .................................................................. 3
Excellent, very good, or good self-rated health by year, persons aged 16 years and over, NSW 201211
High blood pressure by Local Health District, persons aged 16 years and over, NSW 2011 ................ 14
High cholesterol by Local Health District, persons aged 16 years and over, NSW 2011 ...................... 17
Diabetes or high blood glucose by Local Health District, persons aged 16 years and over, NSW 2012
.............................................................................................................................................................. 20
Current smoking by Local Health District, persons aged 16 years and over, NSW 2012...................... 23
Driving tobacco smoke-free car by Local Health District, persons aged 16 years and over who own a
car, NSW 2012....................................................................................................................................... 29
Living in smoke-free household by Local Health District, persons aged 16 years and over, NSW 2012
.............................................................................................................................................................. 32
Alcohol consumption at levels posing lifetime risk to health by Local Health District, persons aged 16
years and over, NSW 2012 .................................................................................................................... 35
Overweight and obesity by Local Health District group, secondary school students aged 12-17 years:
Overweight and obese, 2011 ................................................................................................................ 48
Obesity by Local Health District group, secondary school students aged 12-17 years, NSW 2011 ..... 51
Adequate physical activity by Local Health District, persons aged 16 years and over, NSW 2012 ...... 54
Physical activity by behaviour type and Local Health District, children aged 5-15 years, NSW 2012 .. 57
Adequate physical activity by Local Health District and sex, secondary school students aged 12-17
years, NSW 2011 ................................................................................................................................... 61
Fruit and vegetables: recommended consumption by Local Health District, children aged 2-15 years,
NSW 2012.............................................................................................................................................. 72
Fruit and vegetables: recommended consumption by Local Health District group and sex, secondary
school students aged 12-17 years, NSW 2011 ...................................................................................... 75
High or very high psychological distress by Local Health District, persons aged 16 years and over,
NSW 2011.............................................................................................................................................. 82
Psychological distress by LHD, secondary school students aged 12-17 years, NSW High psychological
distress, 2011 ........................................................................................................................................ 85
Current asthma by Local Health District, persons aged 16 years and over, NSW 2012 ....................... 91
Asthma by Local Health District and asthma status, children aged 2-15 years, NSW 2012 ................. 94
Difficulty accessing health care when needing it by Local Health District, persons aged 16 years and
over, NSW 2010 .................................................................................................................................... 97
Able to ask neighbours to care for a child by Local Health District, persons aged 16 years and over,
NSW 2011............................................................................................................................................ 100
Running into friends while shopping in local area by Local Health District, persons aged 16 years and
over, NSW 2011 .................................................................................................................................. 103
1
Feeling safe walking after dark by Local Health District, persons aged 16 years and over, NSW 2011
............................................................................................................................................................ 106
Sad to leave neighbourhood by Local Health District, persons aged 16 years and over, NSW 2011 . 109
Most people can be trusted by Local Health District, persons aged 16 years and over, NSW 2011.. 112
Visiting neighbours by Local Health District, persons aged 16 years and over, NSW 2011 ............... 115
Influenza immunisation by Local Health Districts, persons aged 65 years and over, NSW 2012 ....... 118
2
About the NSW Health Survey and School Students Survey
NSW Population Health Survey
The NSW Ministry of Health has conducted the Adult Population Health Survey (since 1997) and the Child
Population Health Survey (since 2001) through the New South Wales Population Health Survey, an ongoing
survey of the health of people in NSW using computer-assisted telephone interviewing (CATI). The main aims
of the surveys are to provide detailed information on the health of adults and children in NSW and to support
planning, implementation and evaluation of health services and programs in NSW.
Survey instrument
The survey instruments include question modules on health behaviours, health status, and other associated
factors. The methods and all questions are approved for use by the NSW Population and Health Services
Research Ethics Committee. The instrument is translated into 5 languages: Arabic, Chinese, Greek, Italian and
Vietnamese.
Survey sample
The target population for the survey is all state residents living in private households. The target sample was
approximately 1,000 persons in each of the health administrative areas (total sample 8,000-16,000 depending
on the number of administrative areas).
From 1997 to 2010 the random digit dialling (RDD) landline sampling frame was developed as follows. Records
from the Australia on Disk electronic white pages (phone book) were geo-coded using MapInfo mapping
software. The geo-coded telephone numbers were assigned to statistical local areas and area health services.
The proportion of numbers for each telephone prefix was calculated by area health service. All prefixes were
expanded with suffixes ranging from 0000 to 9999. The resulting list was then matched back to the electronic
phone book. All numbers that matched numbers in the electronic phone book were flagged and the number
was assigned to the relevant geo-coded area health service. Unlisted numbers were assigned to the area
health service containing the greatest proportion of numbers with that prefix. Numbers were then filtered to
eliminate continuous non-listed blocks of greater than 10 numbers. The remaining numbers were then
checked against the business numbers in the electronic phone book to eliminate business numbers.
From 2011 onwards the RDD landline sampling frame was developed as follows: Australian Communications
and Media Authority exchange district and charge zone prefixes were generated for each of the strata (that
being the current health administrative areas) using “best fit” postcode (ACMA 2011). All prefixes were
expanded with suffixes ranging from 0000 to 9999. The sample was then randomly ordered within each strata.
The estimated numbers required for each strata was then forwarded to Sampleworx for them to use
proprietary software to test each numbers current status (valid, in-valid or unknown and business, nonbusiness or unknown). The resulting valid non-business or unknown numbers were then used for the survey.
From 2012 onwards mobile only phone users were included into the surveys using an overlapping dual-frame
design, which incorporates three groups of respondents: landline only users, mobile only users and landline
and mobile users. The introduction of this design was prompted by the increasing numbers of mobile-only
phone users in the general population. Because this design increases the representativeness of the survey
sample the production of unbiased estimates over time is also improved.
The RDD mobile sampling frame was developed by Sampleworx using all known Australian mobile prefixes and
then using proprietary software each number was tested to identify valid and in-valid numbers. A random
sample of valid mobile numbers was then provided for use for the survey.
3
In 2012, a total of 13,269 respondents participated in the adult survey. A third (31.6%) of respondents were in
the mobile sample and two thirds (68.4%) were in the landline sample (landline or landline and
mobile). Unweighted estimates indicate that a greater proportion of younger people, of males, and of people
born overseas participated in the mobile sample compared with the landline sample. Comparison of the
demographic characteristics of the survey sample for the first quarter of 2012 with the NSW population shows
that the NSW Population Health Survey is now more representative of the NSW population (Barr et al. 2012).
Due to this change in design, the 2012 NSW PHS estimates reflect both changes that have occurred in the
population over time and changes due to the improved design of the survey.
When the Australia on Disk electronic white pages became available and reliable introductory letters were
sent to the selected households (1997 to 2008). Households were contacted using random digit dialling.
Depending on the frame either one person from the household was randomly selected or the mobile phone
holder was selected for inclusion in the survey.
Interviews
Interviews are carried out continuously between February and December each year. An 1800 freecall contact
number and website details are provided to potential respondents, so they can verify the authenticity of the
survey and ask any questions regarding the survey. Trained interviewers at the Health Survey Program CATI
facility carried out interviews. Up to 7 calls were made to establish initial contact with a household, and up to 5
calls were made in order to contact a selected respondent.
Data analysis
For analysis, the survey sample was weighted to adjust for differences in the probabilities of selection among
respondents. Post-stratification weights were used to reduce the effect of differing non-response rates among
males and females and different age groups on the survey estimates. These weights were adjusted for
differences between the age and sex structure of the survey sample and the Australian Bureau of Statistics
latest mid-year population estimates (excluding residents of institutions) for each health administrative area.
Call and interview data were manipulated and analysed using SAS version 9.2 (SAS). The Taylor expansion
method was used to estimate sampling errors of estimators based on the stratified random sample. The 95 per
cent confidence interval provides a range of values that should contain the actual value 95 per cent of the
time.
Estimates were smoothed using least-squares spline transformation (CEE, Adult survey methods: web page).
Further information on the methods and weighting process is provided elsewhere (CEE, Child survey methods:
web page).
References
Australian Communications and Media Authority (ACMA). Communications report 2010-11 series: Report 2 –
Converging communications channels: Preferences and behaviours of Australian communications users.
Commonwealth of Australia, 2011. Available at www.acma.gov.au/webwr/_assets/main/lib410148/report2convergent_comms.pdf
Barr ML, Ritten JJ, Steel DG, Thackway SV. ‘Inclusion of mobile phone numbers into an ongoing population
health survey in New South Wales, Australia: design, methods, call outcomes, costs and sample
representativeness’. BioMed Central: Medical Research Methodology 2012, 12:177 (22 November, 2012).
Available at www.biomedcentral.com/1471-2288/12/177.
4
Centre for Epidemiology and Evidence. NSW Adult Population Health Survey Methods. CEE, NSW Ministry of
Health. Available at www.health.nsw.gov.au/PublicHealth/surveys/methods_adult.asp
Centre for Epidemiology and Evidence. NSW Child Population Health Survey Methods. CEE, NSW Ministry of
Health. Available at www.health.nsw.gov.au/PublicHealth/surveys/methods_child.asp
Software used
PitneyBowes Software. MapInfo (software). PBS as MapInfo Corporation: version 1997. Available at
www.pbinsight.com.au
Sampleworx Pty Ltd. Available at www.sampleworx.com.au.html
SAS Institute. The SAS System for Windows version 9.2 (software). Cary, NC: SAS Institute Inc., 2009. Available
at www.sas.com
United Directory Systems. Australia on Disk (software). UDS: version 2004. Available
at www.uniteddirectorysystems.com
NSW School Students Health Behaviours Survey
In 2011, the NSW Ministry of Health conducted the fourth New South Wales School Students Health
Behaviours (SSHB) Survey. Previous SSHB surveys were conducted in 2002, 2005 and 2008, as part of the
triennial Australian School Students Alcohol and Drugs (ASSAD) Survey, which began in 1984. This section
describes the methods of data collection and analysis.
Sample selection
The target population was all students in Years 7-12 enrolled during the period February to December 2011 in
New South Wales. Schools with fewer than 100 students were not included in the survey. Language schools
were also excluded from the sampling frame.
The survey used a 2-stage probability sampling procedure: schools were selected first; students within schools
were selected second. Schools were stratified by the 3 sectors (Government, Catholic, and Independent) and
randomly selected within each sector. The sampling procedure ensured the distribution of schools among the
3 sectors was reflected in the sample. Two samples were drawn: junior secondary (to Year 10); and senior
secondary (Years 11 and 12).
The target school sample was 126 secondary schools in 2008 and 2011. In 2011, to try and achieve this target,
225 schools were approached (190 in 2008) and 115 schools agreed to participate (118 in 2008) , giving an
overall school response rate of 51.1 per cent (62.1% in 2008). The survey was conducted in the second half of
the 2011 academic year.
Survey procedure
The 2011 questionnaire and survey procedures were approved by the Human Research Ethics Committees of
the Cancer Council Victoria, the NSW Population and Health Research Ethics Committee, and the NSW
Department of Education and Communities. The 2011 survey was also endorsed by the Catholic Education
Commission and the Association of Independent Schools of New South Wales.
Principals of selected schools were contacted by the NSW Ministry of Health’s Centre for Epidemiology and
Evidence to obtain permission to conduct the survey at their schools. If a school refused, they were replaced
by the school nearest to them within the same sector. The aim was to survey 80 students from each
5
participating school. For junior secondary, 1 class of 20 students (and 20 replacements) were randomly
selected from each of Years 7-10; for senior secondary, 2 classes of 20 students (or 40 students and 40
replacements) were randomly selected from each of Years 11-12. A brochure and consent form was sent to
the parents of each selected student and replacement. Consent forms were returned to the school and the
school held the list of students who had parental consent. Written consent was sought from students with
parental consent before the survey.
McNair Ingenuity Research Pty Ltd was contracted to administer the pencil-and-paper questionnaire on the
school premises. If a student from the sample list was not present at the time of the survey, a student from the
replacement list for that year was surveyed. Students from different years were surveyed together. Students
answered the questionnaire anonymously.
Survey instrument
The survey instrument was a written self-completion questionnaire, which included questions on alcohol,
demographics, height and weight (including perception of body mass), injury, nutrition, physical activity,
psychological distress, sedentary behaviour, substance use, sun protection (including sunburn experience and
solarium use), and tobacco.
Coding and data entry
Responses were coded and the data entered onto a database by the Centre for Behavioural Research in Cancer
at The Cancer Council Victoria. After data entry, the data were cleaned and prepared for data analysis.
Students whose questionnaires had a large amount of missing data or whose responses were extreme were
removed from the dataset before analyses started. In the analysis, responses were excluded if the respondent
gave contradictory or multiple responses or did not answer the question. However, these respondents
remained in the analysis for the questions that they had validly completed. Cleaning of data relating to
questions about the use of alcohol, tobacco, or other substances involved checking for inconsistencies in
reported use across time periods (lifetime, year, month, and week). This cleaning procedure ensured
maximum use of data and operated on the principle that the student’s response about personal use in the
most recent time period was accurate.
Data analyses and reporting
School students aged 12-17 years were included in the analysis. To ensure that disproportionate sampling of
any school type, age level, and gender grouping, did not bias the prevalence estimates, data were weighted to
bring the achieved sample into line with the population distribution. Reported prevalence estimates are based
on these weighted data. Information about the enrolment details of male and female students in each age
group at Government, Catholic and Independent schools was obtained from the Australian Bureau of Statistics
(ABS Cat no. 4221.0 2006)
Data were analysed using SAS version 9.2 (SAS Institute 2009). The SURVEYFREQ procedure in SAS was used to
analyse the data and calculate point estimates and 95 per cent confidence intervals for the estimates. The
SURVEYFREQ procedure calculates standard errors adjusted for the design effect factor or DEFF (the variance
for a non-random sample divided by the variance for a simple random sample). It uses the Taylor expansion
method to estimate sampling errors of estimators based on the stratified random sample (SAS Institute 2009).
Estimates are presented for each response or indicator and by age group, sex, Local Health District (LHD) and
year where possible. Although figures are provided in every instance in the tables , if the estimates are not
reliable because of small sample sizes (relative standard errors greater than 25%) the estimate is not shown in
the graph. Where possible, indicators have been aligned with those collected previously, so that trends can be
examined. Analysis of change over time is compared across two time periods, between the base survey year
and current survey year, and between the previous survey year and the current survey year. The base survey
year for particular indicators may vary, as the survey instrument has changed over time.
6
The 95 per cent confidence interval provides a range of values that should contain the actual value 95 per cent
of the time. In general, a wider confidence interval reflects less certainty in the estimate for that indicator. The
width of the confidence interval relates to the differing sample size for each indicator. A wider confidence
interval reflects less certainty in the estimate. If confidence intervals do not overlap then the observed
estimates are significantly different. If confidence intervals overlap slightly the observed estimates may be
significantly different but further testing needs to be done to establish that significance. For a pairwise
comparison of subgroup estimates, the p value for a two-tailed test was calculated using the t-test for
differences in means from independent samples and a modified form of t-test, which accounts for the
dependence of the estimates, to test for differences between sub-group estimates and total estimates (CER
2008).
The Local Health District (LHD) was derived from the student’s residential postcode. Although not possible to
report for each LHD because of unequal sampling it was however possible to report on LHDs if some were
grouped (ie Central Coast and Northern Sydney; South Eastern Sydney, Sydney and Illawarra Shoalhaven;
Western Sydney and Nepean Blue Mountains; Mid North Coast and Northern NSW; Murrumbidgee and
Southern NSW; and Western NSW and Far West). In this report, the term metropolitan means students who
lived in 1 of the 8 geographical LHDs designated greater metropolitan: Central Coast, Illawarra Shoalhaven,
Nepean Blue Mountains, Northern Sydney, South Eastern Sydney, South Western Sydney, Sydney, and
Western Sydney. The term rural-regional means students who lived in 1 of the 7 geographical LHDs designated
rural or regional: Far West, Hunter New England, Mid North Coast, Murrumbidgee, Northern NSW, Southern
NSW, and Western NSW.
Characteristics of final sample in 2011
A total of 8,179 students in Years 7-12 were surveyed during the second half of the 2011 academic year, 7,966
of whom were aged 12 to 17 years. Two thirds (66.6 per cent) were from Government schools, 20.0 per cent
were from Catholic schools, and 13.4 per cent were from Independent schools. The final sample’s sex
distribution was 43.7 per cent male and 56.3 per cent female and the age distribution was 60.5 per cent aged
12 to 15 years and 39.5 per cent were aged 16-17 years. When the sample were weighted to the secondary
school student population in NSW by age and sex, 50.8 per cent were male and 49.2 per cent were female,
70.4 per cent were aged 12-15 years and 29.6 per cent were aged 16-17 years (ABS 2006).
In 2011, the sample also consisted of 4.4 per cent Aboriginal or Torres Strait Islander students (similar to the
national distribution of Aboriginal or Torres Strait Islander students in 2011 of 5.0 per cent).[1] The main
language spoken at home in the final sample were English (74.1 per cent), followed by English and another
language (21.8 per cent), and another language only (3.9 per cent). Among respondents who spoke a language
other than English at home, the most common languages were: Chinese languages (28.3 per cent), Arabic
languages (17.3 per cent), Indian languages (11.7 per cent) and Vietnamese (5.1 per cent).
References
Australian Bureau of Statistics. Schools Australia 2008. Catalogue no. 4221.0. Canberra: ABS, 2006.
SAS Institute. The SAS System for Windows version 9.2. Cary, NC: SAS Institute Inc., 2009.
Copyright notice: This work is copyright NSW Ministry of Health, 2011. It may be reproduced in whole or in
part, subject to the inclusion of an acknowledgement of the source. Commercial usage or sale is prohibited.
Suggested citation: Centre for Epidemiology and Evidence. Health Statistics New South Wales. Sydney: NSW
Ministry of Health. Available at: www.healthstats.nsw.gov.au. Accessed (April 2014).
7
Produced by: Centre for Epidemiology and Evidence (http://www.health.nsw.gov.au/public-health/epi/),
Population Health Division, NSW Ministry of Health (http://www.health.nsw.gov.au/).
File created: Tuesday, 15 April 2014
About this report
This is a summary of results from the state-wide NSW Health Survey for 2012 and the NSW School
Students Survey. This report can be downloaded from:
www.mlhd.health.nsw.gov.au/about/health-statistics/reports
The NSW Health Survey Program no longer produces a separate annual report of results; all results
are included in the Health Statistics web-site and can be found by searching for a particular topic i.e.
“smoking” or “exercise” in the main search area or looking in the “All indicators” section under “Risk
Behaviours” www.healthstats.nsw.gov.au.
8
Executive Summary
Results from 2012 compared to previous years.
82.3
81.6
Good health
35.6
Risk drinking
27.9
MLHD
NSW
49.8
51.6
Adequate fruit
10.7
9.1
Adequate vegetables
49.3
54.5
Physical activity
22.4
Smokers
16.0
89.1
Smoke-free house
93.1
91.2
Smoke-free car
90.9
15.2
10.7
Asthma
9.9
8.2
Diabetes
55.0
50.5
Overweight/obese
74.3
70.4
Flu vaccinnation
35.7
30.9
High blood pressure
28.9
High cholesterol
27.0
0
10
20
30
40
50
60
70
80
Fewer people are drinking
alcohol at levels posing lifetime risk, although there are
significantly more adults
proportionally, drinking at risk
levels than in NSW.
Diabetes is increasing however
overweight and or obesity are
decreasing and more people
are likely to say their health is
“good”.
Adequate fruit and vegetable
intake has decreased slightly.
High cholesterol levels were
lower, high blood pressure
levels had increased.
10.7
10.4
Psych. Distress
The proportion of people in
Murrumbidgee LHD who
currently smoke has increased
and the number of smoke-free
households has decreased.
90
100
Per cent of adult population
Psychological distress is similar
to NSW and has decreased in
the past few years. Asthma has
increased in recent years.
# Numbers in red indicate a statitisically significant difference between MLHD and
NSW, yellow arrows show recent trend , no arrow shows steady rates.
The secondary school student’s survey revealed that 9.6 per cent of combined Murrumbidgee LHD
and Southern NSW LHD students (12-17 years) said they were current smokers and 33.5 per cent
said they had had a drink of alcohol in the past month both rates had decreased since 2008. The rate
of overweight and obesity had increased to 27 per cent, the highest among all LHD groupings for
2012.
Major issues for MLHD:





Alcohol consumption
Tobacco Smoking
Overweight and obesity
Adequate physical activity
Asthma
9
Where MLHD (including Albury LGA) ranks among the 15 LHDs in NSW
Indicator
Ranking
Excellent, very good, or good self-rated health by year, persons aged 16 years and over,
NSW 2012
High blood pressure by Local Health District, persons aged 16 years and over, NSW 2011
High cholesterol by Local Health District, persons aged 16 years and over, NSW 2011
Diabetes or high blood glucose by Local Health District, persons aged 16 years and over,
NSW 2012
Current smoking by Local Health District, persons aged 16 years and over, NSW 2012
Driving tobacco smoke-free car by Local Health District, persons aged 16 years and over
who own a car, NSW 2012
Living in smoke-free household by Local Health District, persons aged 16 years and over,
NSW 2012
Alcohol consumption at levels posing lifetime risk to health by Local Health District,
persons aged 16 years and over, NSW 2012
Overweight or obesity by Local Health District, persons aged 16 years and over, NSW
2012
Adequate physical activity by Local Health District, persons aged 16 years and over, NSW
2012
Vegetables: recommended consumption by Local Health District, persons aged 16 years
and over, NSW 2012
Fruit: recommended consumption by Local Health District, children aged 2-15 years, NSW
2012
High or very high psychological distress by Local Health District, persons aged 16 years
and over, NSW 2011
Current asthma by Local Health District, persons aged 16 years and over, NSW 2012
Difficulty accessing health care when needing it by Local Health District, persons aged 16
years and over, NSW 2010
Able to ask neighbours to care for a child by Local Health District, persons aged 16 years
and over, NSW 2011
Running into friends while shopping in local area by Local Health District, persons aged
16 years and over, NSW 2011
Feeling safe walking after dark by Local Health District, persons aged 16 years and over,
NSW 2011
Sad to leave neighbourhood by Local Health District, persons aged 16 years and over,
NSW 2011
Most people can be trusted by Local Health District, persons aged 16 years and over,
NSW 2011
Visiting neighbours by Local Health District, persons aged 16 years and over, NSW 2011
Influenza immunisation by Local Health Districts, persons aged 65 years and over, NSW
2012
In the top 5 or bottom 5 of 15 LHDs:
“good” health outcome = BLUE
“poor” health outcome = RED
4
4
5
6
2
7
13
2
9
13
5
10
8
1
7
3
2
5
9
4
1
2
MLHD ranks poorly against other LHDs for a number of major health risk behaviours most
importantly smoking and alcohol consumption, as well as having the highest percentage of adults
currently suffering from asthma. MLHD ranks highly however for positive indicators of social
connectedness and high influenza vaccination rates.
10
Excellent, very good, or good self-rated health by year,
persons aged 16 years and over, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
11
Excellent, very good, or good self-rated health by year,
persons aged 16 years and over, NSW 2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Northern Sydney
970
85.1
86.7
83.7
89.7
1.8
South Eastern
Sydney
757
84.7
85.8
82.2
89.5
2.2
Sydney
887
82.4
82.9
79.7
86.0
1.9
Murrumbidgee
1,020
82.3
83.4
79.2
87.6
2.6
Southern NSW
837
82.2
80.3
75.8
84.9
2.9
Western Sydney
904
81.4
83.0
78.4
87.6
2.8
Hunter New
England
929
80.9
82.7
78.5
87.0
2.6
South Western
Sydney
968
80.5
81.8
77.8
85.8
2.5
Central Coast
876
80.2
80.1
76.4
83.9
2.4
Western NSW
859
80.2
78.1
73.7
82.4
2.8
Mid North Coast
880
79.3
79.7
75.4
84.1
2.8
Northern NSW
825
78.9
78.1
74.0
82.2
2.7
Nepean Blue
Mountains
912
78.5
76.8
72.6
80.9
2.8
Illawarra
Shoalhaven
833
78.0
78.7
74.7
82.6
2.6
Far West
714
78.0
78.6
73.8
83.3
3.1
All LHDs
13,171
81.6
82.4
81.2
83.6
0.7
Methods for indicator: Self-rated health
Self-rated health is the single most reliable and valid measure of health-related quality of life (HRQL). A large
number of cross-sectional and longitudinal studies have demonstrated how a person's appraisal of his or her
general health is a powerful predictor of future morbidity and mortality, even after controlling for a variety of
factors such as age, sex, socioeconomic status, health behaviours, and health status.
The indicator includes those responding to a global self-rated health status question. The question used to
define the indicator was: Overall, how would you rate your health during the last 4 weeks: Was it excellent,
very good, good, fair, poor, or very poor? The question used to define the indicator in 1997 and 1998 was: In
general would you say your health is excellent, very good, good, fair, or poor?
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Excellent, very good, or good self-rated health,
persons aged 16 years and over, Murrumbidgee LHD, NSW 2002 to 2012
Excellent, very good, or good self-rated health,
persons aged 16 years and over, Murrumbidgee LHD, NSW 2002 to 2012
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
806
83.7
83.9
81.1
86.7
1.7
2003
825
83.1
83.8
81.0
86.6
1.7
2004
578
82.5
82.0
78.4
85.6
2.2
2005
906
81.9
83.2
80.3
86.0
1.8
2006
613
81.4
80.6
76.5
84.7
2.6
2007
844
81.0
81.3
78.1
84.4
2.0
2008
730
80.7
80.2
76.3
84.1
2.5
2009
760
80.7
82.3
78.7
85.8
2.2
2010
705
80.9
79.0
75.2
82.9
2.5
2011
1,086
81.4
80.7
77.3
84.1
2.1
2012
1,020
82.3
83.4
79.2
87.6
2.6
13
High blood pressure by Local Health District, persons aged 16 years and over,
NSW 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
14
High blood pressure by Local Health District, persons aged 16 years and over,
NSW 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Far West
845
42.8
43.0
38.6
47.4
5.2
Hunter New
England
750
38.7
38.9
34.1
43.7
6.3
Central Coast
852
36.4
35.3
30.9
39.7
6.4
Murrumbidgee*
1,065
35.7
36.2
32.3
40.2
5.6
Southern NSW
860
34.6
34.4
30.1
38.8
6.4
Illawarra
Shoalhaven
882
34.4
34.1
30.0
38.2
6.1
Northern NSW
819
33.3
33.1
29.1
37.2
6.2
Mid North Coast
872
32.6
32.8
28.9
36.7
6.0
Western NSW
749
32.3
32.4
27.9
36.9
7.1
South Western
Sydney
904
31.3
31.9
28.0
35.8
6.3
Nepean Blue
Mountains
764
28.7
29.0
24.4
33.6
8.0
Northern Sydney
823
27.9
27.7
23.2
32.2
8.3
Western Sydney
909
26.2
26.7
23.2
30.2
6.8
Sydney
929
26.0
26.5
23.1
29.9
6.6
South Eastern
Sydney
853
25.5
25.2
21.6
28.8
7.3
All LHDs
12,876
30.9
30.9
29.7
32.2
2.0
Methods for indicator: High blood pressure
The question used to define the indicator was: Have you ever been told by a doctor or hospital you have high
blood pressure, sometimes called hypertension?
15
High blood pressure, persons aged 16 years and over, Murrumbidgee* LHD,
NSW 2002 to 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
High blood pressure, persons aged 16 years and over, Murrumbidgee* LHD,
NSW 2002 to 2011
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
788
25.5
24.6
21.1
28.1
7.3
2005
894
29.0
31.3
27.7
34.8
5.8
2008
600
32.1
30.2
25.5
35.0
8.1
2011
1,065
35.7
36.2
32.3
40.2
5.6
16
High cholesterol by Local Health District, persons aged 16 years and over, NSW
2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
17
High cholesterol by Local Health District, persons aged 16 years and over, NSW
2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Far West
782
34.9
34.8
30.5
39.0
6.2
Mid North Coast
799
29.8
29.6
25.8
33.4
6.6
South Western
Sydney
823
29.5
29.1
25.0
33.1
7.1
Central Coast
763
29.4
29.3
25.2
33.3
7.1
Murrumbidgee*
954
28.9
28.5
24.8
32.2
6.7
Hunter New
England
671
28.8
28.6
24.1
33.2
8.1
Illawarra
Shoalhaven
794
28.6
29.2
25.2
33.2
7.0
Northern NSW
722
27.5
27.3
23.5
31.1
7.2
South Eastern
Sydney
769
26.1
26.3
22.4
30.2
7.6
Sydney
807
25.7
26.0
22.4
29.6
7.0
Northern Sydney
760
25.4
25.7
21.8
29.7
7.9
Southern NSW
776
25.2
25.2
21.2
29.3
8.2
Nepean Blue
Mountains
674
25.1
24.9
20.8
29.0
8.4
Western Sydney
832
24.5
24.5
20.9
28.1
7.5
Western NSW
672
24.2
24.1
20.1
28.1
8.5
NSW
11,598
27.0
27.0
25.8
28.2
2.3
Method for indicator: Cholesterol in blood
The question used to define indicator was: Have you ever been told by a doctor or hospital you have high
cholesterol?
18
High cholesterol, persons aged 16 years and over, NSW, Murrumbidgee* LHD,
2002 to 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
High cholesterol, persons aged 16 years and over, NSW, Murrumbidgee* LHD,
2002 to 2011
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
583
23.1
22.1
18.3
25.9
8.7
2005
699
28.3
27.6
23.5
31.7
7.5
2008
507
31.7
33.0
27.6
38.4
8.3
2011
954
28.9
28.5
24.8
32.2
6.7
19
Diabetes or high blood glucose by Local Health District, persons aged 16 years
and over, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
20
Diabetes or high blood glucose by Local Health District, persons aged 16 years
and over, NSW 2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Mid North Coast
881
11.3
12.0
8.2
15.9
16.4
Illawarra
Shoalhaven
832
10.5
11.3
8.6
14.1
12.3
Far West
715
10.4
9.9
7.2
12.6
13.7
Western NSW
854
10.1
10.5
7.3
13.7
15.5
South Western
Sydney
965
9.9
10.6
7.5
13.7
15.0
Murrumbidgee
1,017
9.9
9.9
6.6
13.2
17.1
Southern NSW
836
8.7
8.4
5.5
11.4
18.0
Western Sydney
Central Coast
Nepean Blue
Mountains
902
877
8.6
8.1
9.0
7.5
5.8
5.6
12.3
9.4
18.4
12.8
912
8.0
7.6
5.4
9.8
15.0
Northern NSW
South Eastern
Sydney
820
7.6
7.8
5.3
10.4
16.6
755
7.3
6.7
3.9
9.6
21.6
926
887
970
13,149
7.3
6.2
6.1
8.2
7.2
6.0
7.1
8.4
4.0
4.1
4.9
7.5
10.5
7.8
9.3
9.2
22.7
16.0
16.0
5.3
Hunter New
England
Sydney
Northern Sydney
All LHDs
21
Diabetes or high blood glucose, persons aged 16 years and over, Murrumbidgee
LHD, NSW 1997 to 2012
Diabetes or high blood glucose, persons aged 16 years and over, Murrumbidgee
LHD, NSW 1997 to 2012
Year
1997
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
1,141
3.8
4.1
2.9
5.3
15.0
1998
1,139
4.9
4.5
3.2
5.7
14.3
2002
802
7.4
8.3
5.9
10.8
15.1
2003
826
7.6
7.4
5.4
9.3
13.8
2004
577
7.7
6.2
4.2
8.3
16.8
2005
906
7.8
8.8
6.5
11.1
13.4
2006
615
7.9
7.4
5.3
9.5
14.7
2007
561
8.0
9.5
6.6
12.5
15.8
2008
612
8.1
7.4
4.9
9.9
17.0
2009
756
8.4
8.5
6.2
10.8
13.7
2010
702
8.7
7.7
5.6
9.7
13.7
2011
1,083
9.2
9.9
7.8
12.0
10.6
2012
1,017
9.9
9.9
6.6
13.2
17.1
22
Current smoking by Local Health District, persons aged 16 years and over, NSW
2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
23
Current smoking by Local Health District, persons aged 16 years and over, NSW
2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Far West
716
23.5
22.6
17.1
28.2
12.5
Murrumbidgee*
1,019
22.4
24.3
17.3
31.4
14.7
Nepean Blue
Mountains
913
20.2
21.6
17.2
26.0
10.4
Northern NSW
826
19.5
20.9
16.5
25.2
10.7
Illawarra
Shoalhaven
832
17.9
19.2
14.7
23.6
11.8
Hunter New
England
931
17.8
17.8
12.5
23.2
15.3
Mid North Coast
881
17.8
20.8
15.8
25.8
12.3
Western Sydney
905
17.1
21.8
14.5
29.0
17.0
Central Coast
878
16.9
17.6
13.6
21.6
11.6
Western NSW
859
16.7
18.1
14.0
22.3
11.7
South Western
Sydney
969
16.3
17.0
12.6
21.3
13.0
Sydney
888
14.4
14.4
11.4
17.3
10.4
Southern NSW
840
14.4
12.2
8.4
16.1
16.0
South Eastern
Sydney
756
13.9
14.3
10.2
18.5
14.8
Northern Sydney
973
9.5
9.6
7.0
12.3
14.2
All LHDs
13,186
16.0
17.1
15.6
18.6
4.4
Methods for indicator: Current smoking in adults
The indicator covering current smoking includes those who smoked daily or occasionally.
The question used to define the indicator was: Which of the following best describes your smoking status:
smoke daily, smoke occasionally, do not smoke now but I used to, I have tried it a few times but never smoked
regularly, or I have never smoked?
24
Current smoking, persons aged 16 years and over, Murrumbidgee* LHD, NSW
2002 to 2012
Current smoking, persons aged 16 years and over, Murrumbidgee* LHD, NSW
2002 to 2012
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
806
22.2
21.6
17.7
25.4
9.1
2003
825
21.2
23.1
19.6
26.6
7.8
2004
578
20.2
19.1
15.2
23.0
10.4
2005
908
19.4
20.1
16.9
23.4
8.3
2006
615
18.7
15.9
12.0
19.8
12.5
2007
552
18.3
20.6
15.3
25.8
13.0
2008
645
18.2
18.5
14.0
23.1
12.5
2009
769
18.5
18.3
14.3
22.2
11.1
2010
715
19.3
21.1
16.6
25.6
10.9
2011
1,078
20.6
16.6
13.2
19.9
10.3
2012
1,019
22.4
24.3
17.3
31.4
14.7
25
Current smoking by Local Health District group, secondary school students aged
12-17 years, NSW 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Current smoking in students is defined as heavy, light or occasional smoking.
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
Murrumbidgee and Southern NSW* LHD group includes Albury LGA. See Methods for definitions of
Metropolitan and Rural and regional LHDs.
26
Current smoking by Local Health District group, secondary school students aged
12-17 years, NSW 2011
Local Health Districts
South Western Sydney LHD
Sydney, South Eastern Sydney and
Illawara Shoalhaven LHDs
Western Sydney and Nepean Blue
Mountains LHDs
Central Coast and Northern Sydney
LHDs
Hunter New England LHD
Mid North Coast and Northern NSW
LHDs
Murrumbidgee and Southern NSW*
LHDs
Western NSW and Far West LHDs
Metropolitan LHDs
Rural and regional LHDs
All LHDs
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
UL
95% CI
6.4
LL
95%
CI
4
1,401
6.4
772
Relative Standard
Error (Per cent)
8.8
19.4
10.7
10.7
6
15.4
22.4
1,469
4.4
4.4
3
5.8
16.5
1,545
878
9
7
9
7
6
4.3
11.9
9.8
16.7
20
340
4.9
4.9
0.6
9.3
45.1
923
460
5,187
2,601
7,926
9.6
9.5
7.2
8.1
7.5
9.6
9.5
7.2
8.1
5.7
5.8
5.7
5.7
6.2
6.3
13.4
13.4
8.7
9.9
8.7
20.3
20.5
10.8
11.8
8.1
Current smoking, secondary school students aged 12-17 years: Murrumbidgee
and Southern NSW* LHDs, NSW 2005 to 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
27
Current smoking in students, secondary school students aged 12-17 years:
Murrumbidgee and Southern NSW* LHDs, NSW 2005 to 2011
Year
2005
Number of Respondents Actual estimate (Per cent) Smoothed estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
444
14.1
14.1
11.4
16.8
9.8
2008
470
11.8
11.8
5.0
18.6
29.5
2011
923
9.6
9.6
5.8
13.4
20.3
28
Driving tobacco smoke-free car by Local Health District, persons aged 16 years
and over who own a car, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
29
Driving tobacco smoke-free car by Local Health District, persons aged 16 years
and over who own a car, NSW 2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Northern Sydney
918
96.1
95.8
94.4
97.2
0.7
Sydney
759
93.6
94.3
92.5
96.1
1.0
Southern NSW
799
93.2
93.2
90.4
96.0
1.5
South Eastern
Sydney
689
93.0
93.0
90.4
95.6
1.4
Central Coast
809
92.4
91.4
88.2
94.6
1.8
Western NSW
797
91.7
91.0
87.6
94.4
1.9
Murrumbidgee*
968
91.2
90.9
87.1
94.8
2.2
Illawarra
Shoalhaven
774
90.7
90.7
87.7
93.8
1.7
Western Sydney
852
89.8
89.4
84.9
93.9
2.6
South Western
Sydney
907
88.9
88.8
85.7
91.8
1.8
Nepean Blue
Mountains
858
87.9
87.5
84.0
91.0
2.0
Far West
664
87.7
89.1
85.1
93.1
2.3
Hunter New
England
874
87.4
87.2
82.4
92.0
2.8
Mid North Coast
823
87.2
86.6
81.7
91.4
2.8
Northern NSW
766
87.0
86.4
82.5
90.4
2.3
All LHDs
12,257
90.9
90.7
89.7
91.7
0.6
Methods for indicator: Smoking in the car not allowed
The indicator includes those who had a car.
The question used to define the indicator was: Are people allowed to smoke in your car: yes, no, and don't
have a car?
30
Driving tobacco smoke-free car, persons aged 16 years and over who own a car,
Murrumbidgee* LHD, NSW 2003 to 2012
Driving tobacco smoke-free car, persons aged 16 years and over who own a car,
Murrumbidgee* LHD, NSW 2003 to 2012
Year
2003
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
759
76.0
74.0
70.2
77.8
2.6
2004
536
81.8
86.5
82.8
90.1
2.1
2005
855
85.9
83.8
80.5
87.1
2.0
2006
577
88.7
88.0
84.3
91.7
2.2
2007
519
90.4
90.2
87.2
93.2
1.7
2008
602
91.3
90.5
87.7
93.4
1.6
2009
680
91.5
92.6
90.0
95.2
1.4
2010
646
91.4
91.8
88.9
94.6
1.6
2012
968
91.2
90.9
87.1
94.8
2.2
31
Living in smoke-free household by Local Health District, persons aged 16 years
and over, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
32
Living in smoke-free household by Local Health District, persons aged 16 years
and over, NSW 2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Northern Sydney
973
97.8
97.3
96.2
98.4
0.6
South Eastern
Sydney
758
95.3
93.8
91.9
95.7
1.0
Western Sydney
905
95.3
94.7
93.0
96.3
0.9
Central Coast
879
93.6
92.9
90.1
95.7
1.5
Sydney
888
92.7
92.4
90.4
94.5
1.1
Hunter New
England
931
92.6
92.0
88.4
95.6
2.0
Mid North Coast
882
92.5
93.0
90.0
96.0
1.6
Southern NSW
840
92.4
92.3
88.5
96.2
2.1
Illawarra
Shoalhaven
831
91.4
91.5
88.5
94.4
1.6
Northern NSW
823
91.4
91.2
88.0
94.4
1.8
South Western
Sydney
969
91.0
90.1
87.2
93.0
1.6
Western NSW
857
90.1
89.5
86.1
92.9
1.9
Murrumbidgee*
1,021
89.1
89.5
83.3
95.7
3.5
Nepean Blue
Mountains
913
89.0
88.7
85.4
92.0
1.9
Far West
716
87.9
88.1
84.2
92.0
2.3
All LHDs
13,186
93.1
92.6
91.8
93.4
0.4
33
Living in smoke-free household, persons aged 16 years and over,
Murrumbidgee* LHD, NSW 2002 to 2012
Living in smoke-free household, persons aged 16 years and over, NSW,
Murrumbidgee* LHD, NSW 2002 to 2012
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
806
78.9
80.8
77.6
84.0
2.0
2003
826
81.3
79.0
75.7
82.3
2.1
2004
578
83.7
83.9
80.2
87.7
2.3
2005
902
85.9
84.4
81.3
87.4
1.8
2006
615
87.8
89.6
87.0
92.3
1.5
2007
546
89.4
89.9
87.1
92.7
1.6
2008
638
90.5
90.0
87.0
93.0
1.7
2009
729
91.2
92.1
89.6
94.7
1.4
2010
679
91.2
89.7
86.3
93.2
2.0
2012
1,021
89.1
89.5
83.3
95.7
3.5
34
Alcohol consumption at levels posing lifetime risk to health by Local Health
District, persons aged 16 years and over, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
To assist monitoring lifetime risk of harm, as defined by Guideline 1 of the 2009 National Health And Medical
Research Council Guidelines, this indicator provides information on the proportion of adults who consume
more than 2 standard drinks on a day when they consume alcohol (see Methods tab for further information).
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
35
Alcohol consumption at levels posing lifetime risk to health by Local Health
District, persons aged 16 years and over, NSW 2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
UL 95%
CI
LL 95%
CI
Relative Standard Error
(Per cent)
Hunter New
England
928
39.8
42.1
49.8
34.5
9.3
Murrumbidgee*
1,012
35.6
36.5
43.2
29.7
9.4
Northern NSW
817
33.8
34.5
39.4
29.5
7.4
Far West
710
33.6
34.9
41.4
28.4
9.5
Mid North Coast
879
32.6
31.9
37.7
26.1
9.3
Illawarra
Shoalhaven
819
31.4
29.9
35.0
24.9
8.6
Nepean Blue
Mountains
908
30.0
29.6
34.4
24.8
8.2
Western NSW
855
30.0
31.7
37.3
26.2
8.9
South Eastern
Sydney
754
29.6
29.2
34.3
24.1
8.9
Central Coast
873
29.3
28.9
33.7
24.1
8.5
Northern Sydney
965
28.8
26.8
31.1
22.5
8.2
Southern NSW
837
28.7
29.8
36.9
22.8
12.0
Sydney
884
23.9
25.4
29.5
21.4
8.2
South Western
Sydney
959
18.2
16.1
19.7
12.4
11.6
Western Sydney
898
15.1
13.7
16.8
10.7
11.3
All LHDs
13,098
27.9
27.6
29.3
25.9
3.2
36
Alcohol consumption at levels posing lifetime risk to health, persons aged 16
years and over, Murrumbidgee* LHD, NSW 2002 to 2012
Alcohol consumption at levels posing lifetime risk to health, persons aged 16
years and over, Murrumbidgee* LHD, NSW 2002 to 2012
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
797
35.4
34.7
30.1
39.3
6.7
2003
822
35.5
36.0
32.0
40.0
5.7
2004
576
35.7
38.3
33.2
43.4
6.8
2005
902
36.1
32.6
28.5
36.7
6.4
2006
610
36.5
39.5
33.8
45.3
7.4
2007
541
36.8
31.9
26.4
37.4
8.8
2008
624
37.1
39.9
34.1
45.7
7.4
2009
762
37.1
37.5
32.6
42.5
6.7
2010
707
36.9
38.7
33.4
43.9
6.9
2011
1,070
36.4
33.6
29.4
37.9
6.5
2012
1,012
35.6
36.5
29.7
43.2
9.4
37
Alcohol drinking by Local Health District group, secondary school students aged
12-17 years, Drank alcohol: in the past 4 weeks, 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
Murrumbidgee and Southern NSW* LHD group includes Albury LGA. See Methods for definitions of
Metropolitan and Rural and regional LHDs.
Methods for indicator: Alcohol drinking in secondary school students
The indicator includes those students who have ever had even part of an alcoholic drink, had an alcoholic drink
in the previous 12 months, previous 4 weeks and previous 7 days. The questions used to define indicator were:
Have you had an alcoholic drink in the last 4 weeks?
(Any alcoholic drink, including beer, wine, wine coolers, alcoholic sodas, spirits, premixed spirit drinks,
liqueurs, alcoholic cider, sherry or port, was included).
38
Alcohol drinking by Local Health District group, secondary school students aged
12-17 years, Drank alcohol: in the past 4 weeks, 2011
Local Health Districts
South Western Sydney LHD
Sydney, South Eastern Sydney and
Illawara Shoalhaven LHDs
Western Sydney and Nepean Blue
Mountains LHDs
Central Coast and Northern Sydney
LHDs
Hunter New England LHD
Mid North Coast and Northern NSW
LHDs
Murrumbidgee and Southern NSW*
LHDs
Western NSW and Far West LHDs
Metropolitan LHDs
Rural and regional LHDs
All LHDs
Number of
Respondents
1,398
Smoothed estimate
(Per cent)
20.7
Actual estimate
(Per cent)
20.7
LL
95% CI
14.7
UL
95% CI
26.7
Relative Standard
Error (Per cent)
14.8
776
29.6
29.6
17.9
41.3
20.2
1,468
18.8
18.8
14.3
23.3
12.2
1,548
882
27.5
35.1
27.5
35.1
22
25.3
32.9
44.9
10.1
14.2
339
28
28
18.5
37.4
17.2
929
459
5,190
2,609
7,940
33.5
36
23.5
33.7
25.5
33.5
36
23.5
33.7
26.9
24.2
19.7
20.1
28.2
23.9
42.8
52.3
26.9
39.1
29.9
14.1
23
7.4
8.3
5.7
Alcohol drinking by secondary school students aged 12-17 years, Drank alcohol:
Murrumbidgee and Southern NSW* LHDs, in the past 4 weeks, NSW 2005 to
2011
39
Alcohol drinking by secondary school students aged 12-17 years, Drank alcohol:
Murrumbidgee and Southern NSW* LHDs, in the past 4 weeks, NSW 2005 to
2011
Year
2005
Number of Respondents
Actual estimate (Per cent)
LL 95% CI
UL 95% CI
Relative Standard Error (Per cent)
440
44.3
37.8
50.8
7.4
2008
474
47.6
36.0
59.1
12.3
2011
929
33.5
24.2
42.8
14.1
40
Overweight or obesity by Local Health District, persons aged 16 years and over,
NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
41
Overweight or obesity by Local Health District, persons aged 16 years and over,
NSW 2012
Body mass index
Local Health Districts
Sydney
Number of
Respondents
846
South Western
Sydney
912
South Eastern
Sydney
723
Illawarra
Shoalhaven
774
Western Sydney
Nepean Blue
Mountains
Northern Sydney
Central Coast
861
862
942
833
Smoothed estimate
(Per cent)
27.0
31.7
32.2
35.3
28.6
33.2
31.5
33.6
Actual estimate UL 95% LL 95% Relative Standard Error
(Per cent)
CI
CI
(Per cent)
26.5
8.2
30.7
22.2
41.6
24.8
37.4
26.7
39.7
29.7
31.2
21.0
40.0
30.7
33.5
25.2
39.4
29.4
40.1
25.6
33.6
24.6
44.2
32.8
39.8
27.9
32.9
22.0
33.7
23.9
40.3
27.3
32.9
29.2
33.2
12.9
32.0
8.5
34.7
7.3
26.1
10.0
35.3
6.7
29.4
7.2
34.4
7.4
Overweight
Hunter New
England
Northern NSW
Mid North Coast
Southern NSW
Murrumbidgee*
Western NSW
Far West
All LHDs
Sydney
881
789
836
787
957
810
666
12,479
846
31.7
29.4
37.0
36.9
30.6
29.6
32.5
31.4
13.3
32.9
11.2
29.1
7.9
38.5
7.6
33.8
9.0
27.4
10.1
28.8
8.7
33.8
9.8
31.1
3.0
11.8
9.2
11.1
14.3
Obese
South Western
912
25.6
26.4
15.2
42
Body mass index
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate UL 95% LL 95% Relative Standard Error
(Per cent)
CI
CI
(Per cent)
Sydney
34.3
South Eastern
Sydney
723
Illawarra
Shoalhaven
774
Western Sydney
Nepean Blue
Mountains
Northern Sydney
11.6
10.6
18.5
7.4
15.6
13.9
861
862
942
22.1
17.8
24.2
11.1
23.0
9.2
27.2
18.8
22.2
13.4
28.8
20.2
17.8
12.6
24.5
9.0
11.5
8.6
12.9
14.5
Central Coast
Hunter New
England
Northern NSW
Mid North Coast
Southern NSW
Murrumbidgee*
Western NSW
Far West
All LHDs
Sydney
Overweight or
obese
833
881
789
836
787
957
810
666
12,479
846
South Western
Sydney
912
South Eastern
Sydney
723
Illawarra
Shoalhaven
774
22.1
22.4
19.3
19.1
22.7
24.4
28.6
32.4
19.1
40.3
57.2
43.8
57.4
21.4
9.2
25.2
17.6
23.1
15.1
21.8
13.9
23.0
15.2
30.2
18.9
28.3
18.2
36.5
25.9
35.5
23.5
20.1
17.2
43.0
33.5
67.4
51.9
48.2
37.1
63.2
52.2
19.1
10.6
17.9
11.2
19.1
10.4
24.6
11.7
23.3
11.1
31.2
8.7
29.5
10.4
18.6
3.9
38.2
6.3
59.6
6.6
42.6
6.6
57.7
4.9
43
Body mass index
Local Health Districts
Number of
Respondents
Western Sydney
861
Nepean Blue
Mountains
862
Northern Sydney
942
Central Coast
833
Hunter New
England
881
Northern NSW
789
Mid North Coast
836
Southern NSW
787
Murrumbidgee*
957
Western NSW
810
Far West
All LHDs
666
12,479
Smoothed estimate
(Per cent)
46.3
57.4
42.7
55.8
54.1
48.7
56.1
59.5
55.0
58.2
65.0
50.5
Actual estimate UL 95% LL 95% Relative Standard Error
(Per cent)
CI
CI
(Per cent)
43.8
7.5
50.3
37.4
64.8
54.9
45.6
36.2
61.3
50.3
59.4
44.5
52.1
41.8
63.7
51.6
65.3
51.5
57.8
43.6
65.6
54.3
70.3
56.3
51.6
47.7
59.8
4.2
40.9
5.9
55.8
5.0
52.0
7.3
47.0
5.6
57.7
5.4
58.4
6.1
50.7
7.1
60.0
4.8
63.3
5.6
49.7
2.0
Methods for indicator: Body Mass Index
The questions used to define the indicator were: How tall are you without shoes? How much do you weigh
without clothes or shoes?
For 18 years and over, BMI is calculated as follows: BMI = weight(kg)/height(m)². Categories for this indicator
include: underweight (BMI less than 20.0), healthy weight (BMI from 20.0 to 24.9), overweight (BMI from 25.0
to 29.9) and obese (BMI of 30.0 and over). Obesity was further classified into: Obesity Class I (BMI between
30.0 and 34.9), Obesity Class II (BMI between 35.0 and 39.9) and Obesity Class III (BMI of 40.0 or over).
For children and adolescents, the same categories are used but they are linked to international cut off
points by sex, between 2 and 18 years of age, defined to pass through a BMI of 16, 17, and 18.5 for
underweight, 25 for overweight, and 30 for obesity at age 18 years (Cole et al. 2000; Cole et al. 2007).
The validity of self-reported height and weight has been investigated in adult, adolescent, and young adult
populations. While many studies have observed a high correlation (96 per cent agreement) between BMI
calculated from self-reported and measured height and weight, there is ample evidence that self-reported
44
height and weight is not as exact as measured height and weight but is adequate for conducting
epidemiological research.
The indicator covering Overweight or Obesity includes those who are overweight or obese: that is, with a Body
Mass Index (BMI) of 25.0 or higher: overweight (BMI from 25.0 to 29.9) and obese (BMI of 30.0 and over).
Overweight or obesity, persons aged 16 years and over, Murrumbidgee* LHD,
NSW 2002 to 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
45
Overweight or obesity, persons aged 16 years and over, Murrumbidgee* LHD,
NSW 2002 to 2012
Body mass index
Year
Number of
Respondents
Smoothed estimate (Per Actual estimate (Per LL 95% UL 95%
cent)
cent)
CI
CI
742
32.5
33.2
2002
37.6
6.7
35.7
6.3
40.0
7.0
40.2
5.7
40.6
7.4
34.8
8.1
46.8
6.7
39.2
6.8
42.0
7.0
41.5
6.0
32.9
10.1
22.6
9.4
26.2
7.7
21.7
11.2
25.0
7.9
25.2
11.9
30.0
9.7
25.2
10.2
28.9
789
33.2
31.8
2003
27.8
558
34.1
35.2
2004
30.4
881
35.1
36.2
2005
32.2
588
35.9
35.4
2006
Overweight
Relative Standard Error
(Per cent)
30.3
578
36.5
30.0
2007
25.2
594
36.7
41.4
2008
36.0
727
36.4
34.6
2009
30.0
681
35.3
37.0
2010
31.9
1,024
33.5
37.1
2011
32.7
957
30.6
27.4
2012
22.0
742
19.0
19.0
2002
15.5
789
19.9
22.8
2003
19.3
558
20.8
17.8
2004
13.9
Obese
881
21.6
21.6
2005
18.3
588
22.3
20.5
2006
15.7
578
23.0
25.2
2007
20.5
594
23.6
21.0
46
2008
16.8
727
24.0
24.7
2009
681
24.3
27.4
2010
1,024
24.4
23.9
31.7
8.1
27.3
7.3
28.3
11.1
56.9
4.5
58.7
3.9
58.1
4.9
62.0
3.7
61.6
5.2
60.8
5.1
67.5
4.2
64.1
4.1
69.4
3.9
65.4
3.6
57.8
7.1
20.5
957
24.4
23.3
2012
18.2
742
51.5
52.3
2002
47.7
789
53.1
54.5
2003
50.3
558
54.9
53.0
2004
47.9
881
56.7
57.8
2005
53.7
588
58.3
55.9
2006
50.2
578
59.5
55.3
2007
49.7
594
60.3
62.4
2008
57.2
727
60.3
59.3
2009
54.5
681
59.6
64.4
2010
59.4
1,024
57.9
61.0
2011
56.7
957
2012
9.1
23.1
2011
Overweight or
obese
29.1
20.3
55.0
50.7
43.6
47
Overweight and obesity by Local Health District group, secondary school
students aged 12-17 years: Overweight and obese, 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
Murrumbidgee and Southern NSW* LHD group includes Albury LGA. See Methods for definitions of
Metropolitan and Rural and regional LHDs.
48
Overweight and obesity by Local Health District group, secondary school
students aged 12-17 years: Overweight and obese, 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Murrumbidgee and
Southern NSW* LHDs
483
27.0
27.0
22.2
31.8
9.1
Western NSW and
Far West LHDs
267
24.5
24.5
18.0
31.0
13.5
Rural and regional LHDs
1,442
23.6
23.6
20.5
26.7
6.7
South Western Sydney LHD
767
21.9
21.9
17.3
26.5
10.6
512
21.5
21.5
16.1
27.0
12.8
Hunter New England
LHD
Western Sydney and
Nepean Blue Mountains
LHDs
791
20.1
20.1
16.9
23.4
8.2
Mid North Coast and
Northern NSW LHDs
180
19.6
19.6
16.2
23.1
9.0
Metropolitan LHDs
2,926
18.9
18.9
16.7
21.0
5.9
910
16.9
16.9
13.5
20.4
10.3
458
15.1
15.1
12.4
17.7
9.0
4,424
20.4
20.4
18.6
22.3
4.7
Central Coast and
Northern Sydney LHDs
Sydney, South Eastern
Sydney and
Illawara Shoalhaven LHDs
All LHDs
49
Overweight and obesity by Local Health District group, secondary school
students aged 12-17 years: Overweight, Murrumbidgee and Southern NSW*
LHDs, NSW 2005 to 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Overweight and obesity by Local Health District group, secondary school
students aged 12-17 years: Overweight, Murrumbidgee and Southern NSW*
LHDs, NSW 2005 to 2011
Year
2005
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
109
19.6
19.6
13.6
25.6
15.6
2008
312
14.2
14.2
10.6
17.7
12.7
2011
483
19.2
19.2
15.5
23.0
9.8
50
Obesity by Local Health District group, secondary school students aged 12-17
years, NSW 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
Murrumbidgee and Southern NSW* LHD group includes Albury LGA. See Methods for definitions of
Metropolitan and Rural and regional LHDs.
Data for some LHDs are not included due to low numbers.
51
Obesity by Local Health District group, secondary school students aged 12-17
years, NSW 2011
Local Health Districts
Rural and regional LHDs
Western NSW and
Far West LHDs
Hunter New England
LHD
Western Sydney and
Nepean Blue Mountains
LHDs
South Western Sydney LHD
Sydney, South Eastern
Sydney and
Illawara Shoalhaven LHDs
Metropolitan LHDs
All LHDs
Number of
Respondents
1,442
267
Smoothed estimate
(Per cent)
5.9
5.2
Actual estimate
(Per cent)
5.9
5.2
LL 95%
CI
4.0
4.1
UL 95%
CI
7.7
6.4
Relative Standard Error
(Per cent)
15.9
10.8
512
4.8
4.8
2.6
7.1
23.3
791
4.4
4.4
2.6
6.1
20.2
767
458
3.9
3.8
3.9
3.8
2.2
2.4
5.6
5.2
22.3
18.4
2,926
4,424
3.8
4.5
3.8
4.5
3.0
3.6
4.7
5.4
11.4
10.0
Methods
Methods for indicator: Body Mass Index
The questions used to define the indicator were: How tall are you without shoes? How much do you weigh
without clothes or shoes?
For 18 years and over, BMI is calculated as follows: BMI = weight(kg)/height(m)². Categories for this indicator
include: underweight (BMI less than 20.0), healthy weight (BMI from 20.0 to 24.9), overweight (BMI from 25.0
to 29.9) and obese (BMI of 30.0 and over). Obesity was further classified into: Obesity Class I (BMI between
30.0 and 34.9), Obesity Class II (BMI between 35.0 and 39.9) and Obesity Class III (BMI of 40.0 or over).
For children and adolescents, the same categories are used but they are linked to international cut off
points by sex, between 2 and 18 years of age, defined to pass through a BMI of 16, 17, and 18.5 for
underweight, 25 for overweight, and 30 for obesity at age 18 years (Cole et al. 2000; Cole et al. 2007).
The validity of self-reported height and weight has been investigated in adult, adolescent, and young adult
populations. While many studies have observed a high correlation (96 per cent agreement) between BMI
calculated from self-reported and measured height and weight, there is ample evidence that self-reported
height and weight is not as exact as measured height and weight but is adequate for conducting
epidemiological research.
The indicator covering Overweight or Obesity includes those who are overweight or obese: that is, with a Body
Mass Index (BMI) of 25.0 or higher: overweight (BMI from 25.0 to 29.9) and obese (BMI of 30.0 and over).
52
Obesity, secondary school students aged 12-17 years: Rural and regional LHDs,
NSW 2005 to 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Obesity, secondary school students aged 12-17 years: Rural and regional LHDs,
NSW 2005 to 2011
Year
2005
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
452
4.8
4.8
2.9
6.7
20.2
2008
1,259
4.3
4.3
3.1
5.6
14.4
2011
1,442
5.9
5.9
4.0
7.7
15.9
53
Adequate physical activity by Local Health District, persons aged 16 years and
over, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
54
Adequate physical activity by Local Health District, persons aged 16 years and
over, NSW 2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
South Eastern
Sydney
720
63.7
67.1
62.1
72.1
3.8
Sydney
844
62.9
65.7
61.1
70.3
3.6
Northern Sydney
930
59.7
60.8
56.0
65.5
4.0
Northern NSW
769
57.6
59.3
54.2
64.3
4.4
Western NSW
793
53.8
55.1
49.4
60.8
5.2
Southern NSW
786
53.4
52.7
46.6
58.7
5.9
Nepean Blue
Mountains
853
53.3
53.9
48.9
58.9
4.7
South Western
Sydney
914
51.8
54.6
46.6
62.6
7.5
Illawarra
Shoalhaven
791
51.8
49.6
44.2
55.0
5.5
Far West
664
51.4
51.0
44.0
57.9
6.9
Central Coast
833
51.0
53.2
48.1
58.3
4.9
Western Sydney
862
50.6
53.8
47.1
60.4
6.3
Murrumbidgee*
942
49.3
49.4
42.2
56.6
7.4
Hunter New
England
870
47.3
48.7
41.2
56.3
7.9
Mid North Coast
843
46.0
43.5
37.7
49.3
6.8
All LHDs
12,414
54.5
56.2
54.2
58.1
1.8
Methods for indicator: Adequate physical activity in adults
The indicator includes those who did adequate physical activity.
Adequate physical activity is defined as undertaking physical activity for a total of at least 150 minutes per
week over 5 separate occasions. The total minutes are calculated by adding minutes in the last week spent
walking continuously for at least 10 minutes, minutes doing moderate physical activity, and minutes doing
vigorous physical activity multiplied by 2. This calculation corresponds with definition and questions asked in
Active Australia Survey (AIHW 2003).
The questions used to define the indicator were: In the last week, how many times have you walked
continuously for at least 10 minutes for recreation or exercise or to get to or from places? What do you
estimate was the total time you spent walking in this way in the last week? In the last week, how many times
did you do any vigorous physical activity that made you breathe harder or puff and pant? What do you
estimate was the total time you spent doing this vigorous physical activity in the last week? In the last week,
how many times did you do any other more moderate physical activity that you have not already mentioned?
55
Adequate physical activity, persons aged 16 years and over,
Murrumbidgee* LHD, NSW 2002 to 2012
Adequate physical activity, persons aged 16 years and over, Murrumbidgee*
LHD, NSW 2002 to 2012
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
806
44.5
47.9
43.5
52.3
4.7
2003
826
46.0
40.1
36.0
44.2
5.2
2004
578
47.7
46.9
41.8
51.9
5.5
2005
899
49.5
51.8
47.7
55.9
4.0
2006
583
51.2
53.5
48.0
59.0
5.2
2007
359
52.7
52.5
45.7
59.4
6.6
2008
566
53.6
55.2
49.6
60.8
5.2
2009
689
53.9
51.4
46.4
56.4
5.0
2010
656
53.5
51.3
46.2
56.4
5.1
2011
1,032
52.0
53.8
49.5
58.1
4.1
2012
942
49.3
49.4
42.2
56.6
7.4
56
Physical activity by behaviour type and Local Health District, children aged 5-15
years, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring.
Parent-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates weighted
to adjust for differences in the probability of selection among respondents and benchmarked to the estimated
residential population using the latest available Australian Bureau of Statistics mid-year population estimates.
Estimates are based on a single year for 2001 but are aggregated over two years from 2003-04 to the latest
period.
Murrumbidgee * Local Health District includes Albury Local Government Area.
57
Physical activity by behaviour type and Local Health District, children aged 5-15
years, NSW 2012
Local Health Districts
Behaviour
Adequate
physical activity
Number of
Respondents
Smoothed estimate
(Per cent)
84
19.7
Actual estimate LL 95% UL 95% Relative Standard Error
(Per cent)
CI
CI
(Per cent)
19.7
6.8
33.4
32.6
Sydney
South Western
Sydney
South Eastern
Sydney
Illawarra
Shoalhaven
Sedentary
behaviours
104
Adequate
physical activity
155
Sedentary
behaviours
209
Adequate
physical activity
142
Sedentary
behaviours
161
Adequate
physical activity
158
Sedentary
behaviours
180
Adequate
physical activity
159
Sedentary
behaviours
201
Adequate
physical activity
164
Sedentary
behaviours
201
Adequate
physical activity
153
Sedentary
behaviours
176
Adequate
physical activity
160
Sedentary
behaviours
181
Adequate
physical activity
132
36.6
27.0
45.1
22.0
52.9
34.9
47.6
15.3
36.6
16.5
24.8
48.4
18.4
35.7
36.8
53.5
13.5
30.5
43.6
62.1
25.5
44.4
38.5
56.6
27.0
16.3
45.1
9.5
22.0
19.6
52.9
8.9
34.9
13.8
47.6
15.3
9.7
9.3
19.9
21.2
Western Sydney
Nepean Blue
Mountains
36.7
31.2
45.8
20.5
36.7
11.7
28.3
45.2
22.7
39.6
37.6
53.9
13.0
28.0
26.0
43.2
17.3
32.0
40.6
58.0
28.7
49.0
31.2
13.9
45.8
9.1
20.5
18.7
Northern Sydney
34.6
24.6
34.6
12.7
24.6
15.2
Central Coast
Hunter New
England
Sedentary
156
49.3
38.8
50.9
49.3
9.0
38.8
50.9
13.3
9.4
58
Local Health Districts
Behaviour
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate LL 95% UL 95% Relative Standard Error
(Per cent)
CI
CI
(Per cent)
behaviours
Adequate
physical activity
133
Sedentary
behaviours
154
Adequate
physical activity
148
Sedentary
behaviours
180
Adequate
physical activity
153
Sedentary
behaviours
172
Adequate
physical activity
210
Sedentary
behaviours
238
Adequate
physical activity
158
Sedentary
behaviours
198
Adequate
physical activity
114
Sedentary
behaviours
135
31.5
41.5
60.3
21.9
41.1
32.1
50.6
21.2
38.3
36.8
53.8
17.2
33.7
27.5
45.0
24.2
41.3
33.5
49.6
29.9
48.5
38.3
55.1
18.1
37.4
32.4
54.1
24.3
29.5
41.0
46.3
31.5
15.6
Northern NSW
41.4
29.7
41.4
11.4
29.7
14.7
Mid North Coast
45.3
25.5
45.3
9.6
25.5
16.5
Southern NSW
36.2
32.7
36.2
12.3
32.7
13.3
Murrumbidgee*
41.6
39.2
41.6
9.9
39.2
12.1
Western NSW
46.7
27.7
46.7
9.2
27.7
17.8
Far West
Adequate
physical activity
2,223
Sedentary
behaviours
2,646
43.3
26.9
43.3
12.8
26.9
4.9
All LHDs
43.7
43.7
3.1
Methods for indicator: Physical activity in children and adolescents
Adequate physical activity: the indicator includes children who do adequate physical activity. It is defined as 1
hour or more of physical activity outside of school hours each day.
Sedentary behaviour: the indicator includes children who spent more than 2 hours per day on sedentary
leisure activities.
The questions used to define adequate physical activity were: On about how many days during the school
week does child usually do physical activity outside of school hours? On those days, about how many hours
59
does child usually do physical activity? On about how many weekend days does child usually do physical
activity? On a typical weekend day, about how many hours does child usually do physical activity?
The questions used to define sedentary behaviour were: On about how many days, during the school week
and on a typical week day, does child usually watch TV, videos or DVDs at home? On those days, about how
many hours does child usually spend watching TV, videos or DVDs?
On about how many weekend days does child usually watch TV, videos or DVDs at home? On those days,
about how many hours does child usually spend watching TV, videos or DVDs?
On about how many days, during the school week does child usually play video or computer games or work on
the computer? On those days, about how many hours does child usually spend playing video or computer
games or work on the computer?
On about how many weekend days does child usually play video or computer games or work on the computer?
On those days, about how many hours does child usually spend playing video or computer games or work on
the computer?
60
Adequate physical activity by Local Health District and sex, secondary school
students aged 12-17 years, NSW 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
Murrumbidgee and Southern NSW* LHD group includes Albury LGA. See Methods for definitions of
Metropolitan and Rural and regional LHDs.
61
Adequate physical activity by Local Health District and sex, secondary school
students aged 12-17 years, NSW 2011
Local Health Districts
Sex
Males
Number of
Respondents
542
Smoothed estimate
(Per cent)
17.8
Actual estimate
(Per cent)
LL 95% UL 95% Relative Standard Error
CI
CI
(Per cent)
17.8
12.3
13.5
South Western Sydney LHD
834
9.1
9.1
7.1
Females
1,376
Sydney, South Eastern
Sydney and
Illawara Shoalhaven LHDs
13.3
13.3
297
459
14.3
12.2
15.7
11.3
17.4
14.3
12.2
10.8
9.4
756
Western Sydney and
Nepean Blue Mountains LHDs Females
13.2
13.2
594
851
15.9
11.8
7.4
11.3
15.1
12.4
19.4
15.9
11.8
11.1
9.5
1,445
13.7
13.7
703
785
16.0
10.3
7.6
11.6
15.7
12.4
19.5
16.0
10.3
11.4
8.5
Females
1,488
Hunter New England LHD
13.5
13.5
420
433
15.6
10.2
9.2
11.0
15.9
10.2
21.1
15.6
10.2
17.8
6.5
Females
18.4
13.9
853
13.2
13.2
9.1
Persons
Males
9.0
12.1
Persons
Males
10.0
14.1
Persons
Males
12.0
15.1
Persons
Central Coast and
Northern Sydney LHDs
9.1
10.9
Females
Males
11.4
11.2
Persons
Males
22.1
15.8
17.3
155
16.0
16.0
9.1
22.1
23.0
Mid North Coast and
Northern NSW LHDs
169
11.6
11.6
Females
6.9
20.7
16.3
324
14.2
14.2
14.1
62
Local Health Districts
Sex
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
Persons
Males
LL 95% UL 95% Relative Standard Error
CI
CI
(Per cent)
10.2
414
12.7
12.7
18.1
8.0
18.6
17.3
Murrumbidgee and
Southern NSW* LHDs
446
7.6
7.6
4.3
Females
860
10.4
10.4
6.9
Persons
Males
Western NSW and
Far West LHDs
21.9
10.9
16.9
13.9
147
18.4
18.4
19.0
11.6
25.3
9.1
308
7.7
7.7
6.3
455
11.7
11.7
7.6
9.3
Females
Persons
Males
2,136
16.2
16.2
6.2
14.3
Metropolitan LHDs
2,929
10.7
10.7
5,065
13.4
13.4
1,136
1,356
15.0
9.0
4.8
12.2
14.7
12.0
18.0
15.0
9.0
10.1
7.1
Females
2,492
All LHDs
12.1
12.1
3,331
4,360
15.8
10.3
8.7
10.1
14.2
14.1
17.5
15.8
10.3
5.4
9.2
Females
5.4
11.4
7,691
Persons
10.5
10.8
Persons
Males
5.8
11.9
Persons
Rural and regional LHDs
18.2
9.5
Females
Males
18.0
15.9
13.1
13.1
4.4
11.9
14.2
63
Adequate physical activity by sex, secondary school students aged 12-17 years,
Murrumbidgee & Southern NSW LHDs, NSW 2005 to 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
Murrumbidgee and Southern NSW* LHD group includes Albury LGA. See Methods for definitions of
Metropolitan and Rural and regional LHDs.
64
Adequate physical activity by sex, secondary school students aged 12-17 years,
Murrumbidgee Southern NSW LHDs, NSW 2005 to 2011
Year
Sex
Males
2005
Number of
Respondents
Smoothed estimate (Per
cent)
Actual estimate (Per
cent)
LL 95% UL 95%
CI
CI
Relative Standard Error (Per
cent)
194
14.2
14.2
10.3
18.0
13.9
240
11.8
11.8
8.8
14.9
13.2
434
13.1
13.1
10.7
15.5
9.4
195
17.9
17.9
13.6
22.3
12.4
272
10.0
10.0
6.1
14.0
20.1
467
13.7
13.7
11.8
15.5
6.9
414
12.7
12.7
8.0
17.3
18.6
446
7.6
7.6
4.3
10.9
21.9
860
10.4
10.4
6.9
13.9
16.9
Females
Persons
Males
Females
2008
Persons
Males
Females
2011
Persons
65
Fruit and vegetables: recommended consumption by Local Health District,
persons aged 16 years and over, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
66
Fruit and vegetables: recommended consumption by Local Health District,
persons aged 16 years and over, NSW 2012
Usual consumption
adequate
Local Health Districts
Sydney
Number of
Respondents
861
Smoothed estimate
(Per cent)
7.8
Actual estimate LL 95% UL 95%
(Per cent)
CI
CI
8.4
5.7
Relative Standard
Error (Per cent)
16.1
11.0
South Western
Sydney
926
5.1
5.5
3.8
South Eastern
Sydney
738
8.5
10.0
6.0
Illawarra
Shoalhaven
806
Western Sydney
7.2
15.6
20.2
13.9
10.2
13.3
8.8
17.3
17.7
876
11.0
13.0
5.9
27.7
20.1
Nepean Blue
Mountains
Northern Sydney
889
6.4
5.7
4.0
941
8.1
9.3
6.9
7.5
15.5
12.9
11.6
Central Coast
851
9.8
9.6
7.1
13.0
12.0
Vegetables
Hunter New
England
Northern NSW
900
10.3
9.8
7.2
800
14.5
16.6
12.4
12.6
Mid North Coast
13.6
12.4
856
12.5
12.3
20.7
9.0
13.5
15.5
Southern NSW
810
11.7
12.2
8.8
14.4
15.7
Murrumbidgee*
982
10.7
11.1
7.7
15.7
14.4
Western NSW
836
9.8
9.7
7.0
14.2
12.4
Far West
683
6.3
8.3
5.6
17.0
11.1
All LHDs
12,755
9.1
10.0
8.8
6.0
11.1
Sydney
875
55.1
58.5
4.2
53.7
63.3
Fruit
South Western
Sydney
959
53.5
55.3
7.2
67
Usual consumption
adequate
Local Health Districts
Number of
Respondents
South Eastern
Sydney
751
Illawarra
Shoalhaven
825
Western Sydney
Nepean Blue
Mountains
Northern Sydney
Central Coast
Hunter New
England
Northern NSW
Mid North Coast
Southern NSW
Murrumbidgee*
Western NSW
Far West
All LHDs
893
904
963
872
924
819
869
828
1,009
850
706
13,047
Smoothed estimate
(Per cent)
56.4
50.2
48.9
52.5
51.4
49.5
47.0
52.8
53.0
54.4
49.8
47.7
38.5
51.6
Actual estimate LL 95% UL 95%
(Per cent)
CI
CI
47.4
63.1
51.2
62.1
46.9
57.4
43.6
56.9
48.9
58.6
48.2
58.4
48.8
59.3
41.5
56.0
48.3
58.4
47.4
59.1
49.8
62.7
46.9
60.3
44.5
55.6
34.2
47.0
51.5
55.3
Relative Standard
Error (Per cent)
56.7
4.9
52.1
5.2
50.2
6.8
53.7
4.6
53.3
4.9
54.0
5.0
48.7
7.6
53.4
4.8
53.2
5.6
56.3
5.9
53.6
6.4
50.1
5.7
40.6
8.1
53.4
1.8
Methods for indicator: Recommended fruit and vegetable consumption
The New South Wales Population Health Survey includes a dietary questionnaire on usual consumption of
fruit, vegetables, breads, cereals, red meat, and usual consumption of foods high in fat, salt, and sugar. The
Dietary Guidelines for Australian Adults stress the importance of eating plenty of fruit and vegetables. The Go
for 2 & 5 fruit and vegetable campaign website provides information on why adults should eat at least 2 serves
of fruit and 5 serves of vegetables each day to maintain good health and healthy weight.
For fruit, the indicator includes those who consumed 2 or more serves of fruit a day. The recommended fruit
intake is at least 2 serves a day for persons aged 19 years and over, depending on their overall diet. For
68
simplification, this recommendation is applied to 16-18 year olds. One serve is equivalent to 1 medium piece
or 2 small pieces of fruit. The question used to define the indicator was: How many serves of fruit do you
usually eat each day?
For vegetables, the indicator includes those who consumed 5 or more serves of vegetables a day. The
recommended vegetable intake is at least 5 serves a day for persons aged 16 years and over, depending on
their overall diet. One serve is equivalent to 1/2 cup of cooked vegetables or 1 cup of salad vegetables. The
question used to define the indicator was: How many serves of vegetables do you usually eat each day?
Fruit and vegetables: recommended consumption, persons aged 16 years and
over,
Murrumbidgee* LHD, NSW 2002 to 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
69
Fruit and vegetables: recommended consumption, persons aged 16 years and
over, Murrumbidgee* LHD, NSW 2002 to 2012
Usual consumption
adequate
Year
Number of
Respondents
Smoothed estimate (Per Actual estimate (Per LL 95% UL 95%
cent)
cent)
CI
CI
Relative Standard Error
(Per cent)
794
8.4
7.8
5.4
10.2
15.4
824
9.2
10.3
8.0
12.5
11.2
573
10.0
10.8
8.0
13.5
13.1
902
10.8
9.2
7.1
11.4
11.7
606
11.5
11.7
8.7
14.7
13.0
532
12.1
12.8
9.4
16.3
13.7
585
12.5
11.6
8.2
14.9
14.8
740
12.6
13.6
16.8
12.2
2002
2003
2004
2005
2006
Vegetables
2007
2008
2009
10.3
690
12.4
11.9
9.1
14.7
11.9
1,069
11.8
11.4
8.7
14.0
11.9
982
10.7
11.1
7.7
14.4
15.7
795
41.5
43.1
47.5
5.2
43.3
5.1
46.9
5.9
52.4
4.4
53.6
5.9
59.1
5.3
56.5
5.7
2010
2011
2012
2002
38.8
824
43.0
39.4
2003
35.5
576
44.6
42.0
2004
37.1
Fruit
903
46.2
48.3
2005
44.1
611
47.8
48.1
2006
42.6
539
49.2
53.5
2007
47.9
587
50.4
50.8
70
Usual consumption
adequate
Year
Number of
Respondents
Smoothed estimate (Per Actual estimate (Per LL 95% UL 95%
cent)
cent)
CI
CI
2008
45.1
748
51.1
49.8
2009
54.6
4.9
56.5
5.0
49.5
4.9
60.3
6.4
45.0
697
51.3
51.5
2010
46.4
1,077
50.9
45.2
2011
40.9
1,009
2012
Relative Standard Error
(Per cent)
49.8
53.6
46.9
71
Fruit and vegetables: recommended consumption by Local Health District,
children aged 2-15 years, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring.
Parent-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates weighted
to adjust for differences in the probability of selection among respondents and benchmarked to the estimated
residential population using the latest available Australian Bureau of Statistics mid-year population estimates.
Estimates are based on a single year for 2001 but are aggregated over two years from 2003-04 to the latest
period.
Murrumbidgee * Local Health District includes Albury Local Government Area.
72
Fruit and vegetables: recommended consumption by Local Health District,
children aged 2-15 years, NSW 2012
Usual consumption
adequate
Local Health Districts
Sydney
281
South Eastern
Sydney
225
Illawarra
Shoalhaven
239
Nepean Blue
Mountains
Northern Sydney
Central Coast
Hunter New
England
Northern NSW
Mid North Coast
Southern NSW
Murrumbidgee*
Western NSW
All LHDs
Sydney
Fruit
165
South Western
Sydney
Western Sydney
Vegetables
Number of
Respondents
South Western
Sydney
South Eastern
292
286
261
232
223
196
230
220
312
268
3,606
165
288
227
Smoothed estimate
(Per cent)
39.5
39.5
41.7
43.3
35.0
44.8
43.6
47.7
46.0
51.2
47.8
45.5
53.0
37.0
42.7
76.6
70.4
81.5
Actual estimate LL 95% UL 95%
(Per cent)
CI
CI
39.7
13.1
29.5
49.9
31.7
46.9
34.9
50.2
37.3
52.5
28.7
42.4
39.0
53.4
37.4
52.9
41.3
56.9
38.2
53.5
44.1
61.1
42.6
57.8
36.5
53.2
46.8
61.1
31.2
44.9
41.1
45.7
67.2
84.3
63.8
76.9
39.3
9.9
42.5
9.1
44.9
8.6
35.6
9.8
46.2
7.9
45.1
8.8
49.1
8.1
45.9
8.5
52.6
8.3
50.2
7.7
44.8
9.5
54.0
6.8
38.1
9.2
43.4
2.7
75.7
5.8
70.3
81.3
Relative Standard
Error (Per cent)
4.8
3.7
73
Usual consumption
adequate
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate LL 95% UL 95%
(Per cent)
CI
CI
Sydney
Illawarra
Shoalhaven
Western Sydney
Nepean Blue
Mountains
Northern Sydney
Central Coast
Hunter New
England
Northern NSW
Mid North Coast
Southern NSW
Murrumbidgee*
Western NSW
All LHDs
239
294
287
261
233
224
198
230
223
313
268
3,628
78.1
69.7
70.9
77.2
67.2
70.3
77.7
72.4
69.3
71.6
72.4
73.3
75.5
87.2
71.9
83.9
63.4
76.8
64.3
77.1
70.6
82.8
60.2
75.0
62.8
77.2
71.5
83.7
65.1
78.7
60.7
77.2
65.8
79.0
65.6
79.1
71.1
75.2
Relative Standard
Error (Per cent)
77.9
3.9
70.1
4.9
70.7
4.6
76.7
4.1
67.6
5.6
70.0
5.2
77.6
4.0
71.9
4.8
68.9
6.1
72.4
4.7
72.3
4.7
73.2
1.4
Methods for indicator: Recommended fruit and vegetable consumption in children
Healthy eating promotes physical growth and cognitive development during childhood. Children are
nutritionally vulnerable and their nutrient and energy requirements per kilo of bodyweight are greater than
adults. Dietary factors are linked to health and wellbeing, and there is a relationship between nutrition in
childhood and the development of diseases in adulthood. Current dietary recommendations are fully
described in the Dietary Guidelines for Children and Adolescents in Australia incorporating the Infant Feeding
Guidelines for Health Workers.
The minimum recommended daily consumption of fruit is 1 serve for children aged 4-11 years, and 3 serves for
children aged 12-18 years, depending on their overall diet. One serve is equivalent to 1 medium piece or 2
small pieces of fruit. As the guidelines do not provide minimum recommendations for children aged 2-3 years,
the minimum recommendations for 4-11 year olds have been applied.
74
The minimum recommended daily consumption of vegetables is 2 serves for children aged 4-7 years and 3
serves for children aged 8 years and over, depending on their overall diet. One serve is equivalent to 1/2 cup of
cooked vegetables or 1 cup of salad vegetables. As the guidelines do not provide minimum recommendations
for children aged 2-3 years, the minimum recommendations for 4-7 year olds have been applied.
The questions used to define the indicator were: How many serves of fruit does child usually eat each
day? How many serves of vegetables does child usually eat each day?
Fruit and vegetables: recommended consumption by Local Health District group
and sex, secondary school students aged 12-17 years, NSW 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
75
Fruit and vegetables: recommended consumption by Local Health District group
and sex, secondary school students aged 12-17 years, NSW 2011
Local Health District
Group
Usual consumption
adequate
Sex
Vegetables
Number of
Respondents
549
Smoothed
estimate (Per
cent)
26.1
LL
Actual estimate
95%
(Per cent)
CI
UL
Relative Standard
95%
Error (Per cent)
CI
26.1
7.4
22.3
29.8
43.9
54.1
20.0
26.5
Males
South Western Sydney
LHD
Fruit
Females
Fruit
547
Vegetables
845
841
45.9
45.9
49.0
23.2
42.1
49.0
5.3
23.2
7.1
49.7
4.2
1,390
24.6
24.6
21.8
Vegetables
27.4
5.8
51.2
4.1
24.9
34.7
41.7
51.8
16.3
27.1
Persons
Fruit
1,392
Vegetables
Sydney, South
Eastern Sydney and
Illawara Shoalhaven
LHDs
47.4
299
47.4
29.8
43.6
29.8
8.4
Males
Fruit
Females
Fruit
300
Vegetables
470
466
49.0
49.0
46.7
21.7
41.0
46.7
5.5
21.7
12.6
57.0
8.3
765
25.4
25.4
20.9
Vegetables
29.9
9.0
53.0
5.3
25.9
39.0
45.4
55.0
21.3
27.8
Persons
Fruit
770
Vegetables
Western Sydney and
Nepean Blue Mountains
LHDs
48.0
604
48.0
32.5
42.9
32.5
10.2
Males
Fruit
Females
Vegetables
603
855
50.2
24.6
50.2
4.8
24.6
6.7
76
Local Health District
Group
Usual consumption
adequate
Sex
Fruit
856
48.0
Number of
Respondents
48.0
Smoothed
estimate (Per
cent)
43.3
LL
Actual estimate
95%
(Per cent)
CI
UL
Relative Standard
95%
Error (Per cent)
CI
52.6
4.9
1,459
28.2
28.2
24.6
Vegetables
31.8
6.6
52.8
3.9
16.5
25.1
39.0
47.6
23.2
28.4
Persons
Fruit
1,459
Vegetables
49.0
717
49.0
20.8
45.2
20.8
10.5
Males
Central Coast and
Northern Sydney LHDs
Fruit
Females
Fruit
718
Vegetables
801
799
50.0
50.0
43.3
25.8
46.4
43.3
5.1
25.8
5.1
53.5
3.6
1,516
23.0
23.0
19.6
Vegetables
26.4
7.4
49.8
3.8
22.4
31.9
34.1
49.0
24.2
34.6
Persons
Fruit
1,519
Vegetables
46.3
429
46.3
27.2
42.8
27.2
9.0
Males
Hunter New England
Fruit
LHD
Females
Fruit
430
Vegetables
443
442
40.7
40.7
41.6
29.4
33.3
41.6
9.1
29.4
9.0
48.2
9.3
871
28.2
28.2
25.0
Vegetables
31.4
5.8
47.8
8.1
31.5
44.7
40.6
51.5
20.3
33.8
Persons
Fruit
873
Vegetables
41.2
158
41.2
38.1
34.6
38.1
8.8
Males
Mid North Coast and
Northern NSW LHDs
Fruit
Females
Vegetables
161
172
46.1
27.1
46.1
6.0
27.1
12.7
77
Local Health District
Group
Usual consumption
adequate
Sex
Fruit
169
51.2
Number of
Respondents
51.2
Smoothed
estimate (Per
cent)
41.4
LL
Actual estimate
95%
(Per cent)
CI
UL
Relative Standard
95%
Error (Per cent)
CI
61.0
9.7
330
33.5
33.5
30.3
Vegetables
36.6
4.8
53.1
5.2
19.3
28.9
31.5
44.1
19.8
25.5
Persons
Fruit
330
Vegetables
48.2
436
48.2
24.1
43.2
24.1
10.2
Males
Murrumbidgee and
Southern NSW* LHDs
Fruit
Females
Fruit
436
Vegetables
463
461
40.7
40.7
37.8
22.7
33.0
37.8
8.4
22.7
6.3
48.4
9.6
897
23.5
23.5
20.1
Vegetables
26.8
7.2
44.5
7.1
18.1
34.1
33.0
56.9
20.9
26.5
Persons
Fruit
899
Vegetables
39.1
148
39.1
26.1
33.7
26.1
15.6
Males
Western NSW and
Far West LHDs
Fruit
Females
Fruit
147
Vegetables
309
308
40.2
40.2
44.9
23.7
35.0
44.9
13.5
23.7
6.1
45.3
6.6
456
24.6
24.6
21.2
Vegetables
28.0
7.0
47.8
7.1
23.0
29.7
43.9
50.3
22.3
25.9
Persons
Fruit
456
Vegetables
41.9
2,169
41.9
26.4
36.0
26.4
6.4
Males
Metropolitan LHDs
Fruit
Females
Vegetables
2,168
2,961
47.1
24.1
47.1
3.5
24.1
3.8
78
Local Health District
Group
Fruit
Sex
Usual consumption
adequate
2,972
48.1
Number of
Respondents
48.1
Smoothed
estimate (Per
cent)
45.4
LL
Actual estimate
95%
(Per cent)
CI
UL
Relative Standard
95%
Error (Per cent)
CI
50.7
2.8
5,130
25.2
25.2
23.3
Vegetables
27.2
4.0
49.8
2.4
24.5
30.8
37.3
45.3
23.2
28.0
Persons
Fruit
5,140
Vegetables
47.6
1,171
47.6
27.6
45.3
27.6
5.8
Males
Rural and regional
LHDs
Fruit
Females
Fruit
1,174
Vegetables
1,384
1,383
41.9
41.9
41.3
25.6
37.9
41.3
5.0
25.6
4.8
45.9
4.9
2,554
26.7
26.7
24.6
Vegetables
28.8
4.0
44.9
4.0
24.5
29.3
42.4
47.5
23.1
26.0
Persons
Fruit
2,558
Vegetables
41.6
3,399
41.6
27.1
38.3
26.9
4.6
Males
All LHDs
Fruit
Females
Fruit
4,435
3,402
Vegetables
4,423
46.0
46.0
45.0
25.0
43.6
45.0
2.9
24.5
3.0
48.4
2.6
7,822
26.1
25.7
24.2
Vegetables
27.2
2.9
47.4
2.2
Persons
Fruit
7,837
45.5
45.5
43.5
Methods for indicator: Recommended fruit and vegetable consumption in secondary school
students
Dietary factors are linked to health and wellbeing, and there is a relationship between nutrition in childhood
and adolescence and the development of diseases in adulthood. Current dietary recommendations are fully
described in the Dietary Guidelines for Children and Adolescents in Australia incorporating the Infant Feeding
Guidelines for Health Workers.
79
The minimum recommended daily consumption of fruit and vegetables for adolescents aged 12-18 years are: 3
servings of fruit and 4 of vegetables.
One serve of fruit is equivalent to 1 medium piece or 2 small pieces of fruit. One serve of vegetables is
equivalent to 1/2 cup of cooked vegetables or 1 cup of salad vegetables.
The questions used to define the indicator were: How many serves of fruit do you usually eat each day? How
many serves of vegetables do you usually eat each day?
Fruit and vegetables: recommended consumption by sex, secondary school
students aged 12-17 years, Murrumbidgee and Southern NSW* LHDs, NSW 2005
to 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
80
Fruit and vegetables: recommended consumption by sex, secondary school
students aged 12-17 years, Murrumbidgee and Southern NSW* LHDs, NSW 2005
to 2011
Year
Sex
Males
2005
Number of
Respondents
Smoothed estimate (Per
cent)
Actual estimate (Per
cent)
LL 95% UL 95%
CI
CI
Relative Standard Error (Per
cent)
384
53.3
53.3
38.7
67.8
28.6
481
65.1
65.1
56.7
73.5
13.3
865
58.8
58.8
49.6
68.0
15.5
396
51.7
51.7
42.9
60.6
19.1
544
65.2
65.2
52.8
77.6
22.0
940
58.9
58.9
50.3
67.6
16.9
872
61.9
61.9
50.8
73.0
18.6
924
63.4
63.4
52.8
73.9
15.9
1,796
62.6
62.6
53.8
71.3
14.3
Females
Persons
Males
Females
2008
Persons
Males
Females
2011
Persons
81
High or very high psychological distress by Local Health District,
persons aged 16 years and over, NSW 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
Methods for indicator: Psychological distress
The New South Wales Population Health Survey uses Kessler 10 Plus (K10) to measure psychological distress in
people aged 16 years and over. K10 is a 10-item questionnaire that measures anxiety, depression, agitation,
and psychological fatigue in the most recent 4-week period, with additional questions to establish the effect of
the distress. For each item in the questionnaire there is a 5-level response scale based on the amount of time
(from none of the time to all of the time) the person experienced the particular symptom. When scoring
responses, 1-5 points were assigned to each symptom, with 1 indicating none of the time and 5 indicating all of
the time. The total score ranges from 10 points (all responses none of the time) to 50 points (all responses all
of the time). Responses are classified into 4 categories: low when the score is 10-15, moderate when the score
is 16-21, high when the score is 22-29, and very high when the score is 30 or higher.
82
The indicator showing high and very high distress includes responses with a Kessler 10 (K10) score of 22 or
above.
High or very high psychological distress by Local Health District, persons aged 16
years and over, NSW 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
South Western
Sydney
897
12.3
12.9
10.0
15.8
11.5
Northern NSW
822
12.1
12.6
9.4
15.8
12.9
Illawarra
Shoalhaven
882
12.0
11.1
8.2
14.0
13.2
Nepean Blue
Mountains
761
11.7
12.5
8.2
16.7
17.4
Western Sydney
913
11.5
12.2
9.1
15.3
12.8
Central Coast
847
11.2
10.2
7.1
13.4
15.8
Far West
832
10.9
12.3
9.3
15.4
12.7
Murrumbidgee*
1,069
10.7
11.6
8.5
14.7
13.5
Mid North Coast
873
10.4
9.5
6.8
12.2
14.6
Southern NSW
858
10.3
9.8
6.6
13.0
16.6
Northern Sydney
816
10.2
9.7
5.7
13.7
21.0
Sydney
937
9.2
9.8
7.6
12.0
11.4
South Eastern
Sydney
850
9.0
7.9
5.2
10.6
17.5
Hunter New
England
752
8.7
7.5
4.9
10.1
17.9
Western NSW
744
8.1
8.3
6.0
10.6
14.2
All LHDs
12,853
10.4
10.3
9.3
11.2
4.6
83
High or very high psychological distress, persons aged 16 years and over,
Murrumbidgee* LHD, NSW 2002 to 2011
High or very high psychological distress, persons aged 16 years and over,
Murrumbidgee* LHD, NSW 2002 to 2011
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
801
11.4
11.9
9.0
14.8
12.5
2003
821
11.3
10.5
8.0
12.9
11.9
2004
576
11.3
12.5
8.9
16.0
14.4
2005
899
11.2
8.5
6.3
10.8
13.4
2006
605
11.1
11.6
8.3
14.9
14.5
2007
550
11.0
12.1
8.6
15.5
14.5
2008
593
11.0
12.7
9.2
16.1
13.9
2009
749
10.9
10.4
7.4
13.5
15.0
2010
699
10.8
8.9
6.4
11.4
14.4
2011
1,069
10.7
11.6
8.5
14.7
13.5
84
Psychological distress by LHD, secondary school students aged 12-17 years, NSW
High psychological distress, 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
Commentary
Felt unhappy or sad or depressed
In 2011, among students aged 12-17 years, 39.3 per cent had not experienced feelings of unhappiness or
sadness or depression in the last 6 months, 23.8 per cent experienced 'about usual' feelings, 13.5 per cent
experienced 'worse than usual' feelings, 12.5 per cent experienced 'quite bad' feelings, and 14.7 per cent
experienced levels of feelings that were 'almost more than I could take'.
85
Felt nervous or stressed or under pressure
In 2011, among students aged 12-17 years, 29.9 per cent had not experienced feelings of nervousness or stress
or pressure in the last 6 months, 32.6 per cent experienced 'about usual' feelings, 14.0 per cent experienced
'worse than usual' feelings, 16.5 per cent experienced 'quite bad' feelings, and 7.1 per cent experienced levels
of feelings that were 'almost more than I could take'.
Was in trouble because of behaviour
In 2011, among students aged 12-17 years, 47.9 per cent had not been in trouble because of their behaviour in
the last 6 months, 33.5 per cent experienced 'about usual' levels of being in trouble, 7.0 per cent experienced
'worse than usual' levels, 8.8 per cent experienced 'quite bad' levels, and 2.8 per cent experienced levels that
were 'almost more than I could take'.
High psychological distress
A student who responded 'almost more than I can take' to 1 or more of the above 3 components was
considered to experience high psychological distress.
In 2011, 13.7 per cent of students aged 12-17 years experienced high psychological distress in the last 6
months. Males (11.0 per cent) were significantly less likely than females (17.0 per cent) to experience high
psychological distress in the last 6 months. There were no significant differences among local health district
groups.
The proportion of students who experienced high psychological distress in the last 6 months did not
change significantly between 1996 (15.4 per cent) and 2011 (14.0 per cent).
86
Psychological distress by LHD, secondary school students aged 12-17 years, NSW
High psychological distress, 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Western Sydney and
Nepean Blue Mountains
LHDs
1,416
15.4
15.4
13.4
17.4
6.7
Central Coast and
Northern Sydney LHDs
1,452
14.8
14.8
12.0
17.5
9.4
Metropolitan LHDs
Sydney, South Eastern
Sydney and
Illawara Shoalhaven LHDs
4,964
14.7
14.7
13.4
16.1
4.8
743
14.3
14.3
11.0
17.6
11.8
South Western Sydney LHD
1,353
14.2
14.2
11.9
16.6
8.4
Murrumbidgee and
Southern NSW* LHDs
825
13.0
13.0
10.4
15.6
10.2
Rural and regional LHDs
2,424
12.4
12.4
10.8
14.0
6.6
Hunter New England
LHD
833
11.7
11.7
10.3
13.0
5.9
Mid North Coast and
Northern NSW LHDs
320
11.7
11.7
6.8
16.7
21.5
All LHDs
7,518
13.7
14.0
12.8
15.1
4.1
Methods for indicator: Psychological distress in secondary school students
Since 1996 psychological distress in students has been identified by 3 components: feeling unhappy or sad or
depressed during the last 6 months; feeling nervous or stressed or under pressure during the last 6 months;
and being in trouble because of your behaviour during the last 6 months. These 3 components were developed
in New South Wales from a single question on stress nominated from the Western Australian Child Health
Survey.
A student who responded 'almost more than I can take' to 1 or more components was considered to
experience high psychological distress. The questions used were: When you were feeling unhappy or sad or
depressed how bad was it for you: almost more than I could take, quite bad, worse than usual, about usual?
When you were feeling nervous or stressed or under pressure how bad was it for you: almost more than I
could take, quite bad, worse than usual, about usual? When you were in trouble because of your behaviour
how bad was it for you: almost more than I could take, quite bad, worse than usual, about usual?
87
Psychological distress by Local Health District group, secondary school students
aged 12-17 years High psychological distress, All LHDs, NSW 2005 to 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
88
Psychological distress by Local Health District group, secondary school students
aged 12-17 years High psychological distress, All LHDs, NSW 2005 to 2011
Year
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
2005
2,644
15.9
16.6
14.8
18.5
5.8
2008
7,285
14.0
13.3
12.3
14.3
3.8
2011
7,518
13.7
14.0
12.8
15.1
4.1
Psychological distress by Local Health District group, secondary school students
aged 12-17 years High psychological distress, Murrumbidgee and Southern
NSW* LHDs, NSW 2005 to 2011
Sources
NSW School Students Health Behaviours Survey (SAPHaRI). Centre for Epidemiology and Evidence,
NSW Ministry of Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. Self-completed data
were collected through pen and paper questionnaires administered within secondary schools. Estimates
were weighted to adjust for differences in the probability of selection among respondents and benchmarked
to the estimated secondary school student population using the latest available Australian Bureau of Statistics
estimates.
89
Psychological distress by Local Health District group, secondary school students
aged 12-17 years High psychological distress, Murrumbidgee and Southern
NSW* LHDs, NSW 2005 to 2011
Year
2005
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
208
22.4
22.4
16.7
28.2
13.0
2008
457
12.4
12.4
9.2
15.5
13.0
2011
825
13.0
13.0
10.4
15.6
10.2
90
Current asthma by Local Health District, persons aged 16 years and over, NSW
2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
91
Current asthma by Local Health District, persons aged 16 years and over, NSW
2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Murrumbidgee*
1,022
15.2
15.2
10.9
19.6
14.6
Central Coast
878
14.1
14.8
10.6
18.9
14.3
Nepean Blue
Mountains
913
14.0
12.3
9.6
15.1
11.4
Northern NSW
822
13.9
15.0
11.2
18.8
12.9
Western NSW
857
12.9
11.2
8.1
14.4
14.2
Far West
716
12.8
10.6
7.5
13.7
15.1
Hunter New
England
926
12.7
12.5
7.2
17.7
21.4
Southern NSW
838
12.1
12.0
8.3
15.7
15.7
Illawarra
Shoalhaven
833
12.0
12.1
8.6
15.6
14.8
Mid North Coast
879
10.8
9.0
6.2
11.7
15.8
South Eastern
Sydney
759
10.3
11.0
7.3
14.7
17.1
Western Sydney
903
9.4
7.9
5.7
10.1
14.2
South Western
Sydney
Northern Sydney
Sydney
All LHDs
967
972
883
13,168
8.5
7.9
6.9
10.7
7.8
6.6
6.3
10.1
5.7
4.6
4.4
9.1
10.0
8.5
8.1
13.8
15.2
15.0
5.1
11.1
Methods for indicator: Asthma in adults
The indicator includes those who had symptoms of asthma or treatment for asthma in the last 12 months.
The questions used to define the indicator were: Have you ever been told by a doctor or hospital you have
asthma? Have you had symptoms of asthma or treatment for asthma in the last 12 months?
92
Current asthma, persons aged 16 years and over, Murrumbidgee* LHD, NSW
2002 to 2012
Current asthma, persons aged 16 years and over, Murrumbidgee* LHD, NSW
2002 to 2012
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
806
13.7
13.0
9.9
16.0
12.0
2003
826
13.4
12.2
9.5
14.9
11.3
2004
578
13.0
16.1
12.0
20.2
12.9
2005
906
12.8
13.5
10.8
16.3
10.5
2006
613
12.6
14.3
10.7
17.9
12.9
2007
544
12.5
9.4
6.5
12.4
16.0
2008
597
12.5
12.4
9.0
15.8
13.9
2009
761
12.8
10.8
7.9
13.6
13.6
2010
705
13.3
15.2
11.2
19.2
13.5
2011
1,087
14.1
14.1
11.3
16.9
10.1
2012
1,022
15.2
15.2
10.9
19.6
14.6
93
Asthma by Local Health District and asthma status, children aged 2-15 years,
NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring.
Parent-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates weighted
to adjust for differences in the probability of selection among respondents and benchmarked to the estimated
residential population using the latest available Australian Bureau of Statistics mid-year population estimates.
Estimates are based on a single year for 2001 but are aggregated over two years from 2003-04 to the latest
period.
Murrumbidgee * Local Health District includes Albury Local Government Area.
94
Asthma by Local Health District and asthma status, children aged 2-15 years,
NSW 2012
Asthma status Local Health Districts
Sydney
Number of
Respondents
Smoothed estimate
(Per cent)
173
15.4
Actual estimate
(Per cent)
15.4
LL 95% UL 95% Relative Standard Error
CI
CI
(Per cent)
8.8
21.7
21.9
South Western
Sydney
289
South Eastern
Sydney
226
Illawarra
Shoalhaven
240
Western Sydney
Nepean Blue
Mountains
Northern Sydney
Central Coast
Ever had
asthma
Hunter New
England
Northern NSW
Mid North Coast
Southern NSW
Murrumbidgee*
Western NSW
Far West
All LHDs
Current
asthma
Sydney
295
288
263
254
220
197
252
223
320
273
183
3,696
173
23.6
21.6
24.7
26.1
29.0
19.6
27.5
28.0
16.7
18.7
21.2
26.3
27.7
28.8
23.7
6.9
23.5
15.0
16.5
30.4
15.2
28.3
18.5
30.9
20.4
33.3
22.0
34.6
14.3
26.1
20.1
33.1
21.0
34.9
11.0
23.8
13.3
24.4
15.4
29.5
20.4
32.0
20.6
33.3
19.3
35.5
21.8
25.7
21.8
15.3
24.7
12.8
26.8
12.3
28.3
11.3
20.2
14.9
26.6
12.4
27.9
12.6
17.4
18.7
18.8
15.0
22.4
16.0
26.2
11.3
27.0
11.9
27.4
15.1
23.7
7.0
4.2
3.4
26.2
10.6
South Western
289
15.8
15.2
9.5
19.0
95
Asthma status Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95% UL 95% Relative Standard Error
CI
CI
(Per cent)
Sydney
20.8
South Eastern
Sydney
226
Illawarra
Shoalhaven
240
Western Sydney
Nepean Blue
Mountains
Northern Sydney
Central Coast
Hunter New
England
Northern NSW
295
288
263
254
219
197
16.4
15.6
14.8
19.1
15.3
16.8
17.5
11.2
16.6
18.7
10.5
22.8
10.8
21.1
10.4
20.3
13.2
23.8
10.4
21.0
11.2
21.9
12.0
23.0
15.9
16.6
15.3
16.5
18.5
14.5
15.7
17.2
16.5
16.5
17.5
11.7
16.1
6.8
21.4
16.6
Mid North Coast
252
8.4
8.2
4.6
22.2
11.7
Southern NSW
Murrumbidgee*
Western NSW
Far West
All LHDs
222
320
272
183
3,693
14.0
18.0
20.0
22.2
15.4
15.2
17.5
10.0
20.4
13.3
23.1
13.5
24.8
14.8
30.1
13.8
17.1
18.2
13.6
19.2
15.0
22.5
17.3
15.4
5.3
Methods for indicator: Asthma in children
Ever had asthma: the indicator includes children who have ever been told by a doctor or hospital that they
have asthma.
The question used to define the indicator was: Has child ever been told by a doctor or hospital he or she has
asthma?
Current asthma: the indicator includes children with symptoms of asthma or who had treatment for asthma in
the last 12 months.The questions used to define the indicator were: Has child ever been told by a doctor or
hospital he or she has asthma? Has child had symptoms of asthma or treatment for asthma in the last 12
months?
96
Difficulty accessing health care when needing it by Local Health District, persons
aged 16 years and over, NSW 2010
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
97
Difficulty accessing health care when needing it by Local Health District, persons
aged 16 years and over, NSW 2010
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Western NSW
1,053
33.6
32.7
28.8
36.6
6.1
Southern NSW
484
32.8
33.2
27.4
39.1
9.0
Mid North Coast
567
30.8
30.5
25.4
35.6
8.5
Far West
107
28.4
31.7
18.9
44.5
20.6
Hunter New
England
1,186
27.4
27.8
24.1
31.5
6.9
Northern NSW
829
24.9
23.9
20.3
27.4
7.6
Murrumbidgee
697
24.9
25.6
21.3
30.0
8.7
Central Coast
424
24.4
24.5
19.1
29.9
11.2
Illawarra
Shoalhaven
520
22.4
23.0
17.5
28.6
12.3
Sydney
518
14.1
14.6
10.6
18.7
14.0
Northern Sydney
848
13.0
12.4
9.1
15.7
13.5
South Western
Sydney
793
11.8
12.6
9.7
15.6
11.9
Nepean Blue
Mountains
442
11.8
10.4
7.3
13.5
15.3
Western Sydney
816
11.2
10.2
7.7
12.6
12.3
South Eastern
Sydney
723
10.4
10.5
7.4
13.6
15.0
NSW
10,007
18.0
17.9
16.9
19.0
3.1
Methods for indicator: Difficulty accessing health care
The question used to define the indicator was: Do you have any difficulties getting health care when you need
it?
The indicator includes those who had difficulties getting health care when they needed it. It excludes those
who said they do not need health care.
98
Difficulty accessing health care when needing it, persons aged 16 years and
over, NSW, Murrumbidgee LHD, 2002 to 2010
Difficulty accessing health care when needing it, persons aged 16 years and
over, NSW, Murrumbidgee LHD, 2002 to 2010
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
770
26.2
25.4
21.5
29.3
7.8
2003
801
24.5
25.7
22.0
29.3
7.2
2004
555
24.2
26.8
22.1
31.5
9.0
2005
893
25.0
20.2
16.9
23.5
8.4
2006
598
26.1
25.1
20.1
30.1
10.1
2007
946
27.2
31.8
28.0
35.6
6.1
2008
724
27.7
27.3
22.9
31.6
8.1
2009
752
27.1
25.1
21.0
29.1
8.2
2010
697
24.9
25.6
21.3
30.0
8.7
99
Able to ask neighbours to care for a child by Local Health District, persons aged
16 years and over, NSW 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
100
Able to ask neighbours to care for a child by Local Health District, persons aged
16 years and over, NSW 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Northern Sydney
764
65.9
65.9
60.3
71.4
4.3
Southern NSW
824
63.6
63.4
58.4
68.3
4.0
Murrumbidgee*
1,026
63.1
63.2
58.9
67.4
3.4
Western NSW
717
62.4
62.4
56.8
68.0
4.6
Mid North Coast
827
62.3
62.4
57.6
67.2
3.9
Northern NSW
773
61.1
61.2
56.3
66.0
4.0
Nepean Blue
Mountains
736
60.9
60.8
55.6
66.1
4.4
Hunter New
England
713
58.4
58.5
53.4
63.7
4.5
Central Coast
794
58.1
58.0
52.8
63.1
4.5
South Eastern
Sydney
806
57.8
58.0
53.2
62.7
4.2
Far West
796
55.8
54.6
49.9
59.3
4.4
Illawarra
Shoalhaven
840
55.5
55.8
51.1
60.5
4.3
Sydney
871
52.0
52.3
48.2
56.5
4.0
Western Sydney
864
50.5
50.8
46.1
55.4
4.7
South Western
Sydney
835
42.9
43.0
38.5
47.5
5.3
All LHDs
12,186
56.6
56.7
55.3
58.2
1.3
Methods for indicator: Able to ask neighbours to care for child
The indicator includes those who would definitely or possibly be able to ask someone in their neighbourhood
for help to care for a child.
The question used to define the indicator was: If you were caring for a child and needed to go out for a while,
and could not take the child with you, would you ask someone in your neighbourhood for help?
101
Able to ask neighbours to care for a child, persons aged 16 years and over:
Murrumbidgee* LHD, 2005 to 2011
Able to ask neighbours to care for a child, persons aged 16 years and over:
Murrumbidgee* LHD, 2005 to 2011
Year
2005
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
868
64.5
64.6
60.5
68.6
3.2
2007
503
69.1
68.4
62.9
73.9
4.1
2008
592
67.8
69.0
63.9
74.1
3.7
2009
540
65.7
65.0
59.5
70.5
4.3
2011
1,026
63.1
63.2
58.9
67.4
3.4
102
Running into friends while shopping in local area by Local Health District,
persons aged 16 years and over, NSW 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
103
Running into friends while shopping in local area by Local Health District,
persons aged 16 years and over, NSW 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Far West
848
94.0
93.8
91.3
96.3
1.4
Murrumbidgee*
1,072
91.5
91.3
89.3
93.4
1.1
Western NSW
750
91.3
91.5
88.7
94.3
1.6
Southern NSW
858
90.0
89.3
86.7
92.0
1.5
Northern NSW
826
88.6
88.4
85.7
91.2
1.6
Mid North Coast
876
86.1
86.4
82.9
89.9
2.1
Hunter New
England
754
85.6
85.6
81.7
89.4
2.3
Illawarra
Shoalhaven
895
85.4
85.4
82.1
88.6
1.9
Nepean Blue
Mountains
770
83.5
84.2
79.9
88.6
2.6
All LHDs
12,978
81.8
81.8
80.7
82.9
0.7
Northern Sydney
831
81.2
80.9
76.9
85.0
2.5
Central Coast
851
80.5
80.9
76.9
84.9
2.5
South Western
Sydney
914
79.9
80.0
76.5
83.5
2.2
South Eastern
Sydney
860
79.0
78.9
75.1
82.7
2.5
Western Sydney
921
75.3
75.1
71.1
79.1
2.7
Sydney
952
73.0
73.3
69.9
76.7
2.4
Methods for indicator: Running into friends or acquaintances when shopping in local area
The indicator includes those who run into friends and acquaintances when shopping in their local area at least
some of the time.
The question used to define the indicator was: When you go shopping in your local area how often are you
likely to run into friends and acquaintances?
104
Running into friends while shopping in local area, persons aged 16 years and
over: Murrumbidgee* LHD, NSW 2002 to 2011
Running into friends while shopping in local area, persons aged 16 years and
over: Murrumbidgee* LHD, NSW 2002 to 2011
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
801
92.5
92.5
90.2
94.7
1.2
2003
824
92.2
91.9
89.5
94.3
1.3
2005
908
92.3
93.6
91.8
95.4
1.0
2006
612
92.5
91.7
89.2
94.2
1.4
2007
522
92.7
91.7
88.1
95.2
2.0
2008
621
92.7
92.9
90.4
95.3
1.4
2009
559
92.7
93.4
91.2
95.6
1.2
2011
1,072
91.5
91.3
89.3
93.4
1.1
105
Feeling safe walking after dark by Local Health District, persons aged 16 years
and over, NSW 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
106
Feeling safe walking after dark by Local Health District, persons aged 16 years
and over, NSW 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Northern Sydney
802
90.7
90.8
88.7
93.0
1.2
Southern NSW
818
85.6
85.5
82.4
88.6
1.8
South Eastern
Sydney
828
76.7
76.4
72.2
80.6
2.8
Mid North Coast
836
76.2
76.3
72.5
80.1
2.5
Murrumbidgee*
1,031
76.2
76.3
72.8
79.8
2.3
Nepean Blue
Mountains
741
76.1
75.7
71.5
80.0
2.9
Western NSW
702
75.3
75.7
71.5
79.9
2.8
Western Sydney
890
74.8
74.3
70.5
78.1
2.6
Sydney
922
73.7
73.5
69.9
77.1
2.5
Illawarra
Shoalhaven
856
73.2
73.0
68.9
77.0
2.8
Northern NSW
788
72.0
72.3
68.2
76.4
2.9
Far West
803
70.8
71.5
67.4
75.5
2.9
Hunter New
England
719
70.7
70.7
65.9
75.4
3.4
Central Coast
826
70.0
70.0
65.6
74.5
3.3
South Western
Sydney
855
67.1
67.1
62.9
71.2
3.1
All LHDs
12,417
75.5
75.4
74.2
76.6
0.8
Methods for indicator: Feeling safe walking down their street after dark
The indicator includes those who strongly agree or agree that they feel safe walking down their street after
dark.
The question used to define the indicator was: Do you strongly agree, agree, disagree or strongly disagree with
the statement 'I feel safe walking down my street after dark'?
107
Feeling safe walking down their street after dark, persons aged 16 years and
over: Murrumbidgee* LHD, NSW 2002 to 2011
Feeling safe walking down their street after dark, persons aged 16 years and
over: Murrumbidgee* LHD, NSW 2002 to 2011
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
776
67.7
67.6
63.5
71.6
3.1
2003
798
70.2
70.4
66.8
74.1
2.6
2005
878
72.4
72.6
69.0
76.2
2.5
2006
596
72.7
72.0
67.5
76.6
3.2
2007
503
72.8
72.5
67.8
77.2
3.3
2008
606
72.9
74.5
70.3
78.8
2.9
2009
529
73.4
72.4
67.4
77.4
3.5
2011
1,031
76.2
76.3
72.8
79.8
2.3
108
Sad to leave neighbourhood by Local Health District, persons aged 16 years and
over, NSW 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
109
Sad to leave neighbourhood by Local Health District, persons aged 16 years and
over, NSW 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Northern Sydney
793
78.7
79.0
74.9
83.2
2.7
Northern NSW
798
77.6
77.3
73.3
81.4
2.7
South Eastern
Sydney
841
77.1
76.4
72.2
80.6
2.8
Far West
824
75.8
75.3
71.4
79.2
2.7
Mid North Coast
858
74.7
74.0
69.7
78.3
3.0
Western NSW
728
74.4
74.3
69.3
79.4
3.5
Central Coast
832
74.3
74.8
70.6
79.0
2.9
Illawarra
Shoalhaven
865
72.9
73.8
69.6
78.0
2.9
Murrumbidgee*
1,045
72.7
73.6
69.8
77.4
2.6
Southern NSW
838
71.9
72.4
67.5
77.3
3.4
Nepean Blue
Mountains
750
71.6
71.7
66.5
76.9
3.7
Sydney
915
70.3
70.9
67.1
74.7
2.8
Hunter New
England
729
69.3
69.4
64.6
74.3
3.6
Western Sydney
888
65.9
66.8
62.5
71.1
3.3
South Western
Sydney
874
64.1
64.1
59.6
68.6
3.6
All LHDs
12,578
71.9
72.1
70.8
73.4
0.9
Methods for indicator: Sad to leave neighbourhood
The indicator includes those who would be sad if they had to leave their neighbourhood.
The question used to define the indicator was: Would you be sad if you had to leave this neighbourhood?
110
Sad to leave neighbourhood, persons aged 16 years and over: Murrumbidgee*
LHD, NSW 2002 to 2011
Sad to leave neighbourhood, persons aged 16 years and over: Murrumbidgee*
LHD, NSW 2002 to 2011
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
781
76.5
77.2
73.4
81.0
2.5
2003
807
75.0
74.6
70.9
78.3
2.5
2005
889
75.1
71.4
67.5
75.2
2.8
2006
592
75.9
78.8
74.7
83.0
2.7
2007
505
76.6
79.5
75.1
83.9
2.8
2008
611
77.1
76.9
72.1
81.7
3.2
2009
543
76.8
73.7
68.6
78.9
3.6
2011
1,045
72.7
73.6
69.8
77.4
2.6
111
Most people can be trusted by Local Health District, persons aged 16 years and
over, NSW 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
112
Most people can be trusted by Local Health District, persons aged 16 years and
over, NSW 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Northern Sydney
803
89.4
89.5
85.8
93.2
2.1
Southern NSW
843
89.3
90.1
87.4
92.8
1.5
Nepean Blue
Mountains
750
82.1
81.9
77.9
85.8
2.5
Murrumbidgee*
1,049
81.5
82.0
78.6
85.4
2.1
South Eastern
Sydney
820
80.5
80.4
76.3
84.6
2.6
Hunter New
England
736
79.9
79.5
75.1
83.9
2.8
Northern NSW
797
79.3
79.8
75.8
83.8
2.5
Mid North Coast
856
77.8
78.0
74.1
81.9
2.6
Western NSW
731
77.2
77.7
73.1
82.2
3.0
Western Sydney
876
76.4
76.6
72.7
80.5
2.6
Central Coast
825
76.4
76.5
72.1
80.9
2.9
Illawarra
Shoalhaven
869
76.3
76.8
72.7
80.8
2.7
Far West
823
75.9
75.3
71.1
79.4
2.8
Sydney
892
74.9
75.1
71.4
78.8
2.5
South Western
Sydney
852
70.6
70.3
66.1
74.5
3.0
All LHDs
12,522
79.1
79.2
78.0
80.4
0.8
Methods for indicator: Most people can be trusted
The indicator includes those who strongly agree or agree that most people can be trusted.
The question used to define the indicator was: Do you strongly agree, agree, disagree or strongly disagree with
the statement 'Most people can be trusted'?
113
Most people can be trusted, persons aged 16 years and over: Murrumbidgee*
LHD, NSW 2002 to 2011
Most people can be trusted, persons aged 16 years and over: Murrumbidgee*
LHD, NSW 2002 to 2011
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
783
69.3
70.3
66.0
74.5
3.1
2003
800
75.1
73.5
69.7
77.3
2.6
2005
898
78.7
78.4
74.9
81.8
2.2
2006
603
78.0
79.0
74.1
83.8
3.1
2007
514
76.7
77.9
73.4
82.3
2.9
2008
611
75.6
75.4
70.8
80.1
3.1
2009
548
75.5
74.0
68.8
79.2
3.6
2011
1,049
81.5
82.0
78.6
85.4
2.1
114
Visiting neighbours by Local Health District, persons aged 16 years and over,
NSW 2011
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
115
Visiting neighbours by Local Health District, persons aged 16 years and over,
NSW 2011
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Murrumbidgee*
1,075
71.1
71.1
67.2
75.0
2.8
Northern NSW
826
70.8
70.6
66.5
74.8
3.0
Hunter New
England
754
69.5
69.9
65.2
74.7
3.5
Western NSW
751
67.6
67.9
63.0
72.8
3.7
Mid North Coast
877
67.4
67.0
62.4
71.5
3.5
Nepean Blue
Mountains
772
65.1
64.7
59.9
69.4
3.8
Southern NSW
861
64.6
63.6
58.8
68.5
3.9
Central Coast
855
64.3
65.5
60.7
70.3
3.8
Far West
846
64.2
63.8
59.3
68.2
3.6
Illawarra
Shoalhaven
895
64.0
64.3
59.9
68.7
3.5
South Eastern
Sydney
863
60.2
60.4
55.8
65.1
3.9
Sydney
953
60.0
60.9
57.1
64.8
3.2
Northern Sydney
830
59.0
59.1
53.6
64.6
4.7
Western Sydney
922
57.8
58.2
53.7
62.8
4.0
South Western
Sydney
915
53.7
54.0
49.5
58.4
4.2
All LHDs
12,995
62.2
62.5
61.1
63.9
1.2
Methods for indicator: Visited neighbours at least once in the previous week
The indicator includes those who visited someone in their neighbourhood at least once in the last week.
The question used to define the indicator was: How often have you visited someone in your
116
Visiting neighbours, persons aged 16 years and over, Murrumbidgee* LHD, NSW
2002 to 2011
Visiting neighbours, persons aged 16 years and over, Murrumbidgee* LHD, NSW
2002 to 2011
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
806
71.8
71.7
67.8
75.7
2.8
2003
824
72.8
73.1
69.4
76.8
2.6
2005
907
71.6
69.9
66.1
73.7
2.8
2006
615
70.2
73.9
69.6
78.3
3.0
2007
523
68.7
65.0
59.4
70.6
4.4
2008
619
67.7
69.4
64.5
74.3
3.6
2009
561
67.5
67.2
61.9
72.5
4.1
2011
1,075
71.1
71.1
67.2
75.0
2.8
117
Influenza immunisation by Local Health Districts, persons aged 65 years and
over, NSW 2012
Sources
NSW Population Health Survey (SAPHaRI). Centre for Epidemiology and Evidence, NSW Ministry of
Health.
Notes
Smoothed estimates are shown in the graph. Both the smoothed and actual estimates are shown in the table.
The actual estimates have been statistically adjusted to minimise random variation from year to year and
provide more stable smoothed estimates for population health planning and monitoring. The indicator shows
self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were
weighted to adjust for differences in the probability of selection among respondents and were benchmarked
to the estimated residential population using the latest available Australian Bureau of Statistics mid-year
population estimates. Murrumbidgee * Local Health District includes Albury Local Government Area.
118
Influenza immunisation by Local Health Districts, persons aged 65 years and
over, NSW 2012
Local Health Districts
Number of
Respondents
Smoothed estimate
(Per cent)
Actual estimate
(Per cent)
LL 95%
CI
UL 95%
CI
Relative Standard Error
(Per cent)
Hunter New
England
259
74.3
72.8
64.4
81.2
5.9
Murrumbidgee*
403
74.3
72.7
56.0
89.4
11.7
Southern NSW
308
73.1
69.6
61.4
77.7
6.0
Central Coast
358
72.8
70.7
64.5
76.9
4.5
Mid North Coast
376
72.5
70.0
63.3
76.8
4.9
Northern NSW
305
71.7
70.9
64.3
77.4
4.7
Western NSW
305
71.7
68.4
60.1
76.8
6.2
Western Sydney
138
70.6
71.3
59.8
82.9
8.2
Illawarra
Shoalhaven
271
70.5
69.6
62.2
76.9
5.4
South Eastern
Sydney
172
69.2
66.4
53.5
79.2
9.9
Sydney
161
68.5
67.3
57.6
76.9
7.3
Northern Sydney
256
68.1
65.8
56.8
74.8
7.0
Far West
291
67.9
66.5
58.2
74.7
6.3
Nepean Blue
Mountains
254
67.2
61.0
52.6
69.3
7.0
South Western
Sydney
162
64.9
61.8
48.5
75.1
11.0
All LHDs
4,019
70.4
68.4
65.3
71.4
2.3
Methods for indicator: Immunised against influenza or pneumococcal disease
Because influenza immunisation significantly reduces morbidity and preventable mortality, it is recommended
and funded for all people aged 65 years and over, Aboriginal and Torres Strait Islander people aged 15 years
and over, pregnant women, and people aged 6 months or over with conditions predisposing to severe
influenza.
The indicator includes those aged 65 years and over who have been immunised against influenza in the last 12
months. The questions used to define the indicator were: Were you vaccinated or immunised against flu in the
119
Influenza immunisation, persons aged 65 years and over, Murrumbidgee* LHD,
NSW 2002 to 2012
Influenza immunisation, persons aged 65 years and over, Murrumbidgee* LHD,
NSW 2002 to 2012
Year
2002
Number of Respondents Smoothed estimate (Per cent) Actual estimate (Per cent) LL 95% CI UL 95% CI Relative Standard Error (Per cent)
218
73.6
76.9
70.9
82.9
4.0
2003
231
73.8
73.9
67.4
80.3
4.4
2004
154
73.3
71.8
63.2
80.4
6.1
2005
272
72.5
73.1
66.1
80.1
4.9
2006
192
71.4
72.2
64.8
79.7
5.3
2007
191
70.5
65.5
56.8
74.2
6.8
2008
192
69.8
68.9
61.5
76.3
5.5
2009
271
69.6
73.4
67.8
79.1
3.9
2010
237
70.1
70.6
64.1
77.1
4.7
2011
410
71.6
72.6
67.4
77.8
3.7
2012
403
74.3
72.7
56.0
89.4
11.7
120
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