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On today’s menu: Lana Vanderlee & David Hammond CPHA Annual Meeting May 28, 2014 1 Evaluation of a menu labelling initiative in hospital cafeterias in Ottawa, Canada.
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2 1.Mancino et al. Separating what we eat from where: Measuring the effect of food away from home on diet quality. Food Policy 2009;34(6):557-562. 2.Pereira MA et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. The Lancet 2005;365(9453):36-42. 3.French SA, Harnack L, Jeffery RW. Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. International Journal of Obesity & Related Metabolic Disorders 2000;24(10). 4.Industry Canada Office of Consumer Affairs. Chapter 9 – Consumer Spending. https://www.ic.gc.ca/eic/site/oca-bc.nsf/eng/ca02117.html#a95. Food consumed away from home has poor nutritional value 1 Increased consumption of fast food associated with becoming overweight or obese. 2,3 One quarter of the Canadian food dollar is spent on food away from home. 4 Background
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3 Menu labelling is currently mandatory in several US jurisdictions United States will implement menu labelling federally in 2014 – via Patient Protection and Affordable Care Act Canada has no mandatory menu labelling – Informed Dining voluntary program in BC – Government of Ontario announced Healthy Eating Decisions Made Easy Act Background
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5 Evidence for menu labelling is mixed Reviews suggest little impact at a population level 5,6,7 Some impact upon population subgroups Impact varies upon settings Little literature examining menu labeling in a Canadian context Background 5. Kiszko KM, Martinez OD, Abrams C, Elbel B. The influence of calorie labeling on food orders and consumption: a review of the literature. J Comm Health. DOI 10.1007/s10900-014-9876-0 6. Swartz JJ, Braxton D, Viera AJ. Calorie menu labeling on quick-service restaurant menus: an updated systematic review of the literature. Int J Beh Nutr Phys Act. 2011, 8:135 7. Harnack LJ, French SA. Effect of point-of-purchase calorie labeling on restaurant and cafeteria food choices: a review of the literature. Int J Beh Nutr Phys Act. 2008, 5:51
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The Ottawa Hospital Menu Labelling Program 6 Developed by Nutrition and Foodservices team with support from clinical nutrition team and external experts. Identified an opportunity to implement a new menu labelling program with digital menu boards during renovations at the Civic hospital
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Intervention components 5 digital menu boards with nutritional values for calories, sodium, saturated fat and total fat. 7 Information provided for most food items
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Civic Cafeteria Jan 2011 8
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Intervention components Health logo for items that meet the developed nutritional standards. Educational campaign at the entrance to the seating area. Removal of deep fryers and increase in healthier options. 9
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CivicGeneralDifference Paninis408625 +217 Entrée435553 +118 Grill447536 +89 Salad Bar494568 +74 Sandwiches470519 +49 Soups120 0 Pizzas402400 -2 Breakfast332277 -55 10 Jan/2011– Food selection across sites (kcal)
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11 General Cafeteria Jan 2011
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12 General Cafeteria Sept 2012
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Advertisements on menu boards Sept 2012 13 20 seconds of ads, 20 seconds of nutrition information
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Civic Displays January Study timeline 14 August/September Wave 1 General Displays September November/December Wave 2 2011 2012 Wave 1Wave 2 Civicxx General0x
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2, 085 exit interviews – Wave 1 n=1,003 – Wave 2 n=1,082 10 minute intercept survey Food ordered in the cafeteria Noticing and use of menu labelling 15 Methods
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Nutritional analysis of food ordered and consumed Nutrition information obtained from The Ottawa Hospital Nutrition Services (using C-Bord) Several estimations made: Items from the salad bar Items lacking adequate description 16 Methods
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Analysis 3 primary outcomes Noticing nutrition information Using nutrition information Nutrient consumption Regression models used to test differences Wave Site 17
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Analysis Socio-demographics age, gender, ethnicity, income, education, BMI Consumer and behavioural demographics consumer type, frequency of visiting the cafeteria, use of nutrition labels when shopping for food, frequency of eating out, self-reported general health, and dieting behaviour in the previous year 18
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Results 19
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Sample description 20 CivicGeneral Wave 1 n=497 Wave 2 n=511 Wave 1 n=506 Wave 2 n=571 Mean age (yrs) 44.947.144.945.3 55+ yrs 26%31%28%31% ‘White’ * 76%82%74%78% Female 59%61% 60% High income * 49%43%38%41% Staff * 58%55%53%51% Overweight/ obese 53%56%49%50%
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General Civic Did you notice any nutrition information anywhere in the cafeteria? W1 W2W1W2 21 Significant change in noticing nutrition information between sites over time X 2 = 61.2, p<0.001 Wave 2 Noticing c c c
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Did the nutrition information influence what you selected for your meal? Overall sample n=2,085 Among those who noticed n=1,210 GeneralCivic GeneralCivic W1 W2 W1W2 W1W2 W1W2 22 There was a significant change in use of nutrition information between sites over time X 2 =11.5, p=0.001 c Wave 2 Use c c
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General Civic W1 W2 W1 W2 Calories consumed 23 There was a significant change in calorie consumption between sites over time X 2 = 5.7, p=0.017 Wave 2 Nutrient Consumption c
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General Civic W1 W2 W1 W2 Saturated Fat consumed 24 Wave 2 Nutrient Consumption General Civic W1 W2W1 W2 Total fat consumed
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General Civic W1 W2 W1 W2 Sodium consumed 25 Wave 2 Nutrient Consumption c Civic W1 W2
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26 Calorie consumption lower among those who reported using nutritional labelling p=0.009 500 kcal 573 kcal Used labelling Didn’t use labelling Wave 1 & 2
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Use of nutrition information more common among: Those who are not of ‘White’ ethnicity p<0.001 Those who usually or always use nutrition information when shopping for food p<0.001 Those with improved general health p=0.027 Hospital staff compared to patients p=0.003 Socio-demographic correlates 27
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Support for menu labelling 3% Maybe 2% No …in Ottawa Hospital cafeterias 95% Yes 28
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4% Maybe 5% No 91% Yes 29 Support for menu labelling …in all fast-food and other chain restaurants
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Preferred menu labels 71% want calories 55% want fat 48% want sodium 30
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Conclusions Indicates a positive impact of menu labelling Importance of noticing information Magnitude of impact Nutrition content and product reformulation Few socio-demographic differences 31
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Additional support provided by: Acknowledgements Acknowledgements Funding for the project 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) 32
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Questions? Lana Vanderlee PhD candidate School of Public Health and Health Systems University of Waterloo Email: lana.vanderlee@uwaterloo.ca Tel: 519-888-4567 ext. 31066 33
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