What should I eat? - Canadian Public Health Association

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What should I eat?

Awareness of Canada’s

Food Guide

Lana Vanderlee, Cassondra McCrory & David Hammond

CPHA Annual Meeting

May 27, 2014

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Image credit: http://www.hc-sc.gc.ca/fnan/food-guide-aliment/ordercommander/index-eng.php#a1

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Image credit: http://www.cbc.ca/news/health/the-politics-offood-guides-1.1268575

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Image credit: http://www.hc-sc.gc.ca/fnan/food-guide-aliment/ordercommander/index-eng.php#a1

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Background

• Few adults meet recommendations 1,2

– Particularly for Vegetables and Fruits and Grain

Products

56% could name four food groups in 1997, and 41% in 2001.

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• Government sources have high credibility, but few people use them 4

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2.

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Garriguet D. Overview of Canadians’ eating habits. Health Rep 2004;2:82-620.

Black JL et al. Do Canadians meet Canada's Food Guide's recommendations for fruits and vegetables? Appl Physiol Nutr Metab 2013;38(3):234-242

Canadian Council of Food and Nutrition. Tracking Nutrition Trends: A 20-year history. 2009

Goodman S et al. Use of nutritional information in Canada: national trends between 2004 and 2008. J Nutr Educ Behav

2011;43(5):356-365

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Research Objectives

1. Examine awareness of Canada’s Food

Guide

2. Examine content knowledge of Canada’s

Food Guide

3. Examine knowledge of estimated energy

requirements from Canada’s Food Guide

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Methods

• 10 minute intercept exit interviews

• 2 hospital cafeterias in Ottawa, Canada

• Aug/Sept 2013

• Questions on what they ordered, nutrition behaviours and knowledge, and sociodemographics

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Measures

Last use of Canada’s Food Guide

• Knowledge of food groups

• Knowledge of recommended servings of each food group

– Vegetables and Fruit = 7-10

– Grain Products = 6-8

– Milk and Alternatives = 2-3

– Meat and Alternatives = 2-3

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Measures

• Knowledge of recommended calorie intake

• Physical activity level

• Socio-demographic measures

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Analysis

• Linear regression

– Number of food groups names (0 – 4 groups)

– Adjusted for socio-demographic variables

• Gender

• Age

• Ethnicity

• Income

• BMI

• How recently they had viewed the food guide

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Results

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Sample Characteristics

• 59% female

• 30.3% 55+ years

• 47.3% > $80,000/yr household income

• 80.8% White

• 53.9% overweight or obese

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Ability to recall food groups

(n=1,048)

80%

78%

73% Recalled group

66%

53%

51%

43%

18%

6%

Milk and

Alternatives

Vegetables and Fruit

Meat and

Alternatives

Grain

Products

1%

All four groups

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Ability to recall recommended servings

(n=1,048)

80%

78%

53%

73%

51%

66%

Recalled group

Recalled correct servings

43%

18%

6%

Milk and

Alternatives

Vegetables and Fruit

Meat and

Alternatives

Grain

Products

1%

All four groups

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Who recalled more food groups?

• Viewed the food guide

(p<0.001 for all)

• Females

(p=0.013)

Younger age categories

(p<0.01)

White participants

(p<0.001)

Higher income groups

(p<0.01 for all)

• BMI was not significant

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Knowledge of calorie recommendations

4.7% could identify recommendation specific to

age, gender and physical activity level

29.0% could identify recommendation specific only to age and gender.

50.0% underestimated

8.8% overestimated

12.2% were not able or willing to provide a guess

• Answers ranged from 3 to 20,000 calories

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Limitations & Strengths

Limitations

• Sample from hospital cafeterias

• Broad categories for “correct” responses

Strengths

• Unprompted recall of groups and recommended servings

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Discussion

• Relatively low levels of use of Canada’s Food

Guide and very low levels of knowledge of food guide content.

• Knowledge was lower among populations that face health disparities

• Very few participants knew calorie recommendations

– Implications for nutritional literacy and ‘calorie literacy’

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Image credit: http://www.hc-sc.gc.ca/fn-an/food-guide-aliment/order-commander/guide_trans-trad-eng.php and http://www.hc-sc.gc.ca/fn-an/pubs/fnim-pnim/index-eng.php

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Discussion

• Relatively low levels of use of Canada’s Food

Guide and very low levels of knowledge of food guide content.

• Knowledge was lower among populations that face health disparities

• Very few participants knew calorie recommendations

– Implications for nutritional literacy and ‘calorie literacy’

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Conclusion

• Poor ‘basic understanding’ of Canada’s official recommendations for diet and nutrition.

• Improving knowledge and understanding of CFG may lead to improved nutrition behaviours

• Sustained campaigns and coordinated efforts with other nutrition programs may improve uptake.

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Acknowledgements

Funding for the project provided by:

Additional support provided by:

Stipend support to Lana Vanderlee funded by the CIHR Training Grant in Population Intervention for Chronic

Disease Prevention: A Pan-Canadian Program (Grant #53893)

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Questions?

Lana Vanderlee

PhD Student

School of Public Health and Health Systems

University of Waterloo

Email: lana.vanderlee@uwaterloo.ca

Tel: 519-888-4567 ext. 31066

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