Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study)

Purpose Previous research on the influence of the food environment on weight status has often used impersonal measures of the food environment defined for residential neighborhoods, which ignore whether people actually use the food outlets near their residence. To assess whether supermarkets are relevant contexts for interventions, the present study explored between-residential neighborhood and between-supermarket variations in body mass index (BMI) and waist circumference (WC), and investigated associations between brands and characteristics of supermarkets and BMI or WC, after adjustment for individual and residential neighborhood characteristics. Methods Participants in the RECORD Cohort Study (Paris Region, France, 2007–2008) were surveyed on the supermarket (brand and exact location) where they conducted their food shopping. Overall, 7 131 participants shopped in 1 097 different supermarkets. Cross-classified multilevel linear models were estimated for BMI and WC. Results Just 11.4% of participants shopped for food primarily within their residential neighborhood. After accounting for participants' residential neighborhood, people shopping in the same supermarket had a more comparable BMI and WC than participants shopping in different supermarkets. After adjustment for individual and residential neighborhood characteristics, participants shopping in specific supermarket brands, in hard discount supermarkets (especially if they had a low education), and in supermarkets whose catchment area comprised low educated residents had a higher BMI/WC. Conclusion A public health strategy to reduce excess weight may be to intervene on specific supermarkets to change food purchasing behavior, as supermarkets are where dietary preferences are materialized into definite purchased foods.

[1]  Leslie A Lytle,et al.  Measuring the food environment: state of the science. , 2009, American journal of preventive medicine.

[2]  P. Björntorp,et al.  The influence of occupational and social factors on obesity and body fat distribution in middle-aged men. , 1996, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[3]  Laboratoire Antipolis Rapport d'activité , 2014 .

[4]  Marilyn A Winkleby,et al.  Socioeconomic and food-related physical characteristics of the neighbourhood environment are associated with body mass index , 2007, Journal of Epidemiology and Community Health.

[5]  S V Subramanian,et al.  Comparison of a spatial perspective with the multilevel analytical approach in neighborhood studies: the case of mental and behavioral disorders due to psychoactive substance use in Malmo, Sweden, 2001. , 2005, American journal of epidemiology.

[6]  A. D. Diez Roux,et al.  Neighborhood characteristics and availability of healthy foods in Baltimore. , 2008, American journal of preventive medicine.

[7]  Basile Chaix,et al.  Are Associations Between Neighborhood Socioeconomic Characteristics and Body Mass Index or Waist Circumference Based on Model Extrapolations? , 2011, Epidemiology.

[8]  B Chaix,et al.  The influence of geographic life environments on cardiometabolic risk factors: a systematic review, a methodological assessment and a research agenda , 2011, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[9]  Lawrence D. Frank,et al.  Healthy Nutrition Environments: Concepts and Measures , 2005, American journal of health promotion : AJHP.

[10]  Cetu Rapport d’activité 2009 , 2010 .

[11]  Patrick M O'Malley,et al.  Associations between access to food stores and adolescent body mass index. , 2007, American journal of preventive medicine.

[12]  J. Gittelsohn,et al.  An Urban Food Store Intervention Positively Affects Food-Related Psychosocial Variables and Food Behaviors , 2010, Health education & behavior : the official publication of the Society for Public Health Education.

[13]  S. Asch,et al.  You are where you shop: grocery store locations, weight, and neighborhoods. , 2006, American journal of preventive medicine.

[14]  Leslie A Lytle,et al.  Measures of the food environment: a compilation of the literature, 1990-2007. , 2009, American journal of preventive medicine.

[15]  Lawrence D Frank,et al.  Nutrition Environment Measures Survey in stores (NEMS-S): development and evaluation. , 2007, American journal of preventive medicine.

[16]  Karen Glanz,et al.  Measuring food environments: a historical perspective. , 2009, American journal of preventive medicine.

[17]  V. Chang,et al.  Weight status and restaurant availability a multilevel analysis. , 2008, American journal of preventive medicine.

[18]  P. Björntorp,et al.  Mental distress, obesity and body fat distribution in middle-aged men. , 1996, Obesity research.

[19]  William W Eaton,et al.  County level socioeconomic position, work organization and depression disorder: a repeated measures cross-classified multilevel analysis of low-income nursing home workers. , 2006, Health & place.

[20]  A. Drewnowski,et al.  Low-energy-density diets are associated with higher diet quality and higher diet costs in French adults. , 2007, Journal of the American Dietetic Association.

[21]  B. Pannier,et al.  All-cause and cardiovascular mortality using the different definitions of metabolic syndrome. , 2008, The American journal of cardiology.

[22]  Basile Chaix,et al.  Individual/Neighborhood Social Factors and Blood Pressure in the RECORD Cohort Study: Which Risk Factors Explain the Associations? , 2010, Hypertension.

[23]  Kathryn Bean,et al.  Cardiovascular Mortality in Overweight Subjects: The Key Role of Associated Risk Factors , 2005, Hypertension.

[24]  Ana V Diez Roux,et al.  Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics. , 2007, American journal of epidemiology.

[25]  Basile Chaix,et al.  Neighborhood Effects on Health: Correcting Bias From Neighborhood Effects on Participation , 2011, Epidemiology.

[26]  Basile Chaix,et al.  Social inequalities in residential exposure to road traffic noise: An environmental justice analysis based on the RECORD Cohort Study , 2011, Occupational and Environmental Medicine.

[27]  P. Harmer,et al.  Built environment and 1-year change in weight and waist circumference in middle-aged and older adults: Portland Neighborhood Environment and Health Study. , 2008, American journal of epidemiology.

[28]  L. Råstam,et al.  The role country of birth plays in receiving disability pensions in relation to patterns of health care utilisation and socioeconomic differences: a multilevel analysis of Malmo, Sweden , 2006, BMC public health.

[29]  Basile Chaix,et al.  Geographic life environments and coronary heart disease: a literature review, theoretical contributions, methodological updates, and a research agenda. , 2009, Annual review of public health.

[30]  Steve Wing,et al.  Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. , 2006, American journal of preventive medicine.

[31]  Adam Drewnowski,et al.  Low-cost foods: how do they compare with their brand name equivalents? A French study , 2009, Public Health Nutrition.

[32]  Shannon N Zenk,et al.  Fruit and vegetable intake in African Americans income and store characteristics. , 2005, American journal of preventive medicine.

[33]  Gérard Guez,et al.  État des lieux et perspectives , 2008 .

[34]  Donald Rose,et al.  Measuring the Food Environment: Shelf Space of Fruits, Vegetables, and Snack Foods in Stores , 2009, Journal of Urban Health.

[35]  Basile Chaix,et al.  Comparison of a spatial approach with the multilevel approach for investigating place effects on health: the example of healthcare utilisation in France , 2005, Journal of Epidemiology and Community Health.

[36]  Ana V Diez Roux,et al.  Residential environments and cardiovascular risk , 2003, Journal of urban health : bulletin of the New York Academy of Medicine.

[37]  B Chaix,et al.  Neighbourhood social interactions and risk of acute myocardial infarction , 2007, Journal of Epidemiology & Community Health.

[38]  B. Chaix,et al.  Neighborhood-level confounding in epidemiologic studies: unavoidable challenges, uncertain solutions. , 2010, Epidemiology.

[39]  M. P. Lama,et al.  Development Report 2001 , 2001 .

[40]  Y. Kestens,et al.  Cohort profile: residential and non-residential environments, individual activity spaces and cardiovascular risk factors and diseases--the RECORD Cohort Study. , 2012, International journal of epidemiology.