Andrew C Stevenson1, Anne-Sophie Brazeau2, Kaberi Dasgupta3,4,5, Nancy A Ross1,3. 1. Department of Geography, McGill University, Montréal, Quebec, Canada. 2. School of Human Nutrition, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada. 3. Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Quebec, Canada. 4. Department of Medicine, McGill University Health Centre, McGill University, Montréal, Quebec, Canada. 5. Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre, McGill University, Montréal, Quebec, Canada.
Abstract
INTRODUCTION: There is growing interest in the role of food environments in suboptimal diet and overweight and obesity. This review assesses the evidence for the link between the retail food environment, diet quality and body mass index (BMI) in the Canadian population. METHODS: We conducted a systematic keyword search in two bibliometric databases. We tabulated proportions of conclusive associations for each outcome and exposure of interest. Absolute and relative measures of exposure to the food environment were compared and theoretical framing of the associations noted. We assessed two key methodological issues identified a priori-measurement of BMI, and validation of the underlying retail food environment data. RESULTS: Seventeen studies were included in the review. There was little evidence of a food environment-diet quality relationship and modest evidence of a food environment-BMI relationship. Relative measures of the food environment were more often associated with an outcome in the expected direction than absolute measures, but many results were inconclusive. Most studies adopted ecological theoretical frameworks but methodologies were similar regardless of stated theoretical approaches. Self-reported BMI was common and there was no "gold standard" database of food outlets nor a consensus on best ways to validate the data. CONCLUSION: There was limited evidence of a relationship between the food environment and diet quality, but stronger evidence of a relationship between the food environment and BMI for Canadians. Studies with broad geographic scope that adopt innovative methods to measure diet and health outcomes and use relative measures of the food environment derived in geographic information systems are warranted. Consensus on a gold standard food environment database and approaches to its validation would also advance the field.
INTRODUCTION: There is growing interest in the role of food environments in suboptimal diet and overweight and obesity. This review assesses the evidence for the link between the retail food environment, diet quality and body mass index (BMI) in the Canadian population. METHODS: We conducted a systematic keyword search in two bibliometric databases. We tabulated proportions of conclusive associations for each outcome and exposure of interest. Absolute and relative measures of exposure to the food environment were compared and theoretical framing of the associations noted. We assessed two key methodological issues identified a priori-measurement of BMI, and validation of the underlying retail food environment data. RESULTS: Seventeen studies were included in the review. There was little evidence of a food environment-diet quality relationship and modest evidence of a food environment-BMI relationship. Relative measures of the food environment were more often associated with an outcome in the expected direction than absolute measures, but many results were inconclusive. Most studies adopted ecological theoretical frameworks but methodologies were similar regardless of stated theoretical approaches. Self-reported BMI was common and there was no "gold standard" database of food outlets nor a consensus on best ways to validate the data. CONCLUSION: There was limited evidence of a relationship between the food environment and diet quality, but stronger evidence of a relationship between the food environment and BMI for Canadians. Studies with broad geographic scope that adopt innovative methods to measure diet and health outcomes and use relative measures of the food environment derived in geographic information systems are warranted. Consensus on a gold standard food environment database and approaches to its validation would also advance the field.
Entities:
Keywords:
body mass index; diet quality; retail food environment; school; systematic review, Canada
Authors: Leia M Minaker; Kim D Raine; T Cameron Wild; Candace I J Nykiforuk; Mary E Thompson; Lawrence D Frank Journal: Am J Prev Med Date: 2013-09 Impact factor: 5.043
Authors: Gavin R McCormack; Jason Cabaj; Heather Orpana; Ryan Lukic; Anita Blackstaffe; Suzanne Goopy; Brent Hagel; Noel Keough; Ryan Martinson; Jonathan Chapman; Celia Lee; Joyce Tang; Gabriel Fabreau Journal: Health Promot Chronic Dis Prev Can Date: 2019-05 Impact factor: 3.240
Authors: Sharon I Kirkpatrick; Jill Reedy; Eboneé N Butler; Kevin W Dodd; Amy F Subar; Frances E Thompson; Robin A McKinnon Journal: Am J Prev Med Date: 2014-01 Impact factor: 5.043
Authors: Yan Kestens; Alexandre Lebel; Basile Chaix; Christelle Clary; Mark Daniel; Robert Pampalon; Marius Theriault; S V P Subramanian Journal: PLoS One Date: 2012-08-22 Impact factor: 3.240
Authors: Laura K Cobb; Lawrence J Appel; Manuel Franco; Jessica C Jones-Smith; Alana Nur; Cheryl A M Anderson Journal: Obesity (Silver Spring) Date: 2015-06-12 Impact factor: 5.002
Authors: Samantha Hajna; Yan Kestens; Stella S Daskalopoulou; Lawrence Joseph; Benoit Thierry; Mark Sherman; Luc Trudeau; Rémi Rabasa-Lhoret; Leslie Meissner; Simon L Bacon; Lise Gauvin; Nancy A Ross; Kaberi Dasgupta Journal: BMC Public Health Date: 2016-09-09 Impact factor: 3.295
Authors: Vikram Nichani; Mohammad Javad Koohsari; Koichiro Oka; Tomoki Nakaya; Ai Shibata; Kaori Ishii; Akitomo Yasunaga; Liam Turley; Gavin R McCormack Journal: Can J Public Health Date: 2020-07-22
Authors: Laura A van der Velde; Femke Mp Zitman; Joreintje D Mackenbach; Mattijs E Numans; Jessica C Kiefte-de Jong Journal: Public Health Nutr Date: 2020-10-27 Impact factor: 4.022