Healthy People 2020 Presentation

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Nutrition and Weight Status

Janelle Reina Nunez, Benjamin Mason, Shelia Palmateer, Erin Nagel, Timothy Lee,

Noemline Omandan, and Charlotte Lamaster

Increase knowledge and ability to improve diet

Encourage/incentivize provision of healthier food choices vendors make available

Promote healthy body weight

In this country, more than one-third of adults and 17% of youth are obese

Obesity increases the risk for people to have heart disease, type 2 diabetes, stroke, and cancer

As of 2008, it was estimated that the medical cost of obesity in the U.S. was $147 billion

Moreover, the medical costs for people who are obese were $1, 429 higher that those of normal weight.

Obesity is defined as an excess amount of body fat when compared to lean body mass.

In men, the normal amount of body fat is between 15% and 20% body weight

In women, it is between 18% to 32%

For a person to be obese, they are at least

20% above the upper limit of normal range for ideal body weight

Obesity is higher among middle age adults ages 40-

59 years old (39.5%)

According to the CDC

National Center for Health

Statistics, amongst non-

Hispanic black and

Mexican-American men, those with higher incomes are likely to be obese

However women who earn a higher income are less likely to be obese than lower-income women

SAN ANTONIO’S

OBESITY RATE OF 31.9%

EXCEEDS THE US OBESITY

RATE OF 26.2 %

SAN ANTONIO HAS

THE SECOND HIGHEST

RATE OFOBESITY IN THE

UNITED STATES

.

Contributing Factors

Limited access to healthy food

Abundance of fast food

Unhealthy food culture

Decline Physical Activity

Lack of knowledge about nutrition

Cultural Traditions

Poverty

Percentages reflect Body

Mass Index (BMI) percentage of Adults in the United States

The chart above shows obesity rates for Texas from

1990 through 2007, a steady increase is shown.

Good News! With Texas and its’ communities coming together over the recent years to fight obesity, there is hope in combating this disease. According to the

SAMHD (San Antonio Metropolitan Health District), obesity rates declined in

San Antonio and Bexar County going from 35.1% in 2010 to 28.5% in 2012. This is potentially great news for this community and the state of Texas, as these statistics show that their hard work is paying off!

Community and

Worksite Wellness

Program

Growing Community

Video Series

Plan Healthy, Texas

Texas Interagency

Obesity Council

Nutrition Strategies

 CWW nutrition strategies

Farm to work

 Texas Nutrition

Environment Assessment

Physical Activity

Strategies

Get Fit Texas!

 Your Health Matters:

Growing Active and

Healthy Communities

To specifically build awareness around the need for physical activity, Blue Cross piloted a decision prompt campaign in a few cities which grew into a statewide public awareness campaign called ‘do’.

The do campaign encourages Minnesotans to

“groove [their] body every day.” The campaign contains three components:

• do.in action to get people moving more and eating better.

• do.at work to encourage employees’ use of stairs, healthier eating, and more walking.

• do. Stories to inspire others through personal stories (4).

The State of New York has a number of community programs which focuses on making their residents healthier.

From healthy eating to physical fitness programs, New York is taking the health of its residents very seriously.

Tennessee, being one of the top obese states in the United States, have several programs to promote better nutrition and to increase physical activity to decrease the problem.

Programs are focused on both childhood and adult obesity but our focus will only be focusing on the adult population.

San Antonio is 59.3%

Hispanic (Texas

Department of State Health

Services, 2012)

12% of Bexar County’s low income population does not have easy access to grocery stores (Bexar County

Community Health

Assessment Data

Committee, 2013)

Por Vida Menu Criteria

Entire meal including entrée and 2 sides:

< 700 calories

< 23g total fat

< 8g saturated fat

< 0.5g trans-fat

< 750mg sodium

Single Entrée Item

< 300 calories

< 10g total fat

< 3.5g saturated fat

< 0.5g trans fat

<325mg sodium

Side Item

< 200 calories

< 7g total fat

< 2g saturated fat

< 0.5g trans fat

< 215mg sodium

Evidence for negative health effects of saturated fat is shaky.

San Antonio Metropolitan Health District, 2015

Program Improvement:

Removal of Sodium Restriction from Por Vida

Entire meal including entrée and 2 sides:

< 700 calories

< 23g total fat

< 8g saturated fat

< 0.5g trans-fat

< 750mg sodium

Single Entrée Item

< 300 calories

< 10g total fat

< 3.5g saturated fat

< 0.5g trans fat

<325mg sodium

Side Item

< 200 calories

< 7g total fat

< 2g saturated fat

< 0.5g trans fat

< 215mg sodium

Evidence for the health benefits of reducing sodium intake in the general population is also shaky.

San Antonio Metropolitan Health District, 2015

Alderman, M., Baslund, B., Jurgens, G., & Graudal, N. (2014). Compared with usual sodium intake, low- and excessive-sodium diets are associated with increased mortality: A meta-analysis. American Journal of Hypertension, 27(9), 1129-1137.

Bexar County Community Health Assessment Data Committee. (2013). Bexar County community health assessment report. Retrieved from http://iims.uthscsa.edu/sites/iims/files/Newsletters/bexar%20CHA%202013%20final.pdf

Center for Disease Control. (2010). Sodium fact sheet. Retrieved from http://www.cdc.gov/salt/pdfs/Sodium_Fact_Sheet.pdf

Center For Disease Control. (2015). Data, trends and maps: Obesity prevalence maps. Retrieved from http://www.cdc.gov/obesity/data/prevalence-maps.html

Chowdhury, R. (2014). Association of dietary, circulating, and supplement fatty acids with coronary risk: A systematic review and meta-analysis.

Annals of Internal Medicine, 160(6), 398-406. doi:10.7326/M13-1788

Ignatavicius, D. D. (2013). Medical-surgical nursing: Patient-centered collaborative care (7th ed.). St. Louis: Elsevier Saunders.

Gallup. (2014). Boulder, Colo., residents still least likely to be obese. Retrieved from http://www.gallup.com/poll/168230/boulder-colo-residentsleast-likely-obese.aspx

Gallup. (2015). U.S. obesity rate inches up to 27.7% in 2014. Retrieved from http://www.gallup.com/poll/181271/obesity-rate-inches-2014.aspx

HealthyPeople.gov. 2015. Nutrition and weight status. http://www.healthypeople.gov/2020/topics-objectives/topic/nutrition-and-weight-status.

Ogden, C., Carroll, M., Kit, B., & Flegal, K. (2014). Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA, 311(8), 806. doi:10.1001/jama.2014.732

Ogden, C., Lamb, M., Carroll, M., & Flegel, K. (2015). Obesity and socioeconomic status in adults: United States, 2005-2008. Retrieved from http://www.cdc.gov/nchs/data/databriefs/db50.pdf

San Antonio Metropolitan Health District . (2013) Obesity in Bexar County. Retrieved from https://www.sanantonio.gov/Portals/0/Files/health/HealthyLiving/FactSheet-Obesity.pdf

San Antonio Metropolitan Health District. (2015a). Por Vida. Retrieved from http://www.porvidasa.com

San Antonio Metropolitan Health District (2015b). Texas Department of State Health Services. Retrieved from https://www.dshs.state.tx.us/obesity/san-antonio-metropolitan-health-district.doc

Siri-Tarino, P., Sun, Q., Hu, F., & Krauss, R. (2010). Meta-analysis of prospective cohort sutides evaluating the association of saturated fat with cardiovascular disease. The American Journal of Clinical Nutrition, 91(3), 535-546.

Sosa, E., Biediger-Friedman, L., & Yin, Z. (2013). Lessons learned from training of promotores de salud for obesity and diabetes prevention. Journal

of Health Disparities Research and Practice, 6(1), 1-13.

Texas Department of State Health Services. (2012). healthdata.dshs.texas.gov. Retrieved from http://healthdata.dshs.texas.gov/HealthFactsProfiles

Ward, Z., Long, M., Resch, S., Gortmaker, S., Cradock, A., & Hsiao, A. (2014). Redrawing the US obesity landscape: Bias-corrected estimates of state-specific adult obesity prevalence. Retrieved from http://www.researchgate.net/publication/266779334_Redrawing_the_US_Obesity_Landscape_Bias_corrected_estimates_of_statespecific_adult_obesity_prevalence

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