Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study)
(2012) In PLoS ONE 7(4).- Abstract
- Purpose: Previous research on the influence of the food environment on weight status has often used impersonal measures 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... (More)
- Purpose: Previous research on the influence of the food environment on weight status has often used impersonal measures 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2895747
- author
- Chaix, Basile
; Bean, Kathy
; Daniel, Mark
; Zenk, Shannon N.
; Kestens, Yan
; Charreire, Helene
; Leal, Cinira
; Thomas, Frederique
; Karusisi, Noella
; Weber, Christiane
; Oppert, Jean-Michel
; Simon, Chantal
; Merlo, Juan
LU
and Pannier, Bruno
(Less) - organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- in
- PLoS ONE
- volume
- 7
- issue
- 4
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- wos:000304855200007
- scopus:84859308710
- ISSN
- 1932-6203
- DOI
- 10.1371/journal.pone.0032908
- language
- English
- LU publication?
- yes
- id
- f229e61f-5e80-49a6-a1df-9c62da440986 (old id 2895747)
- date added to LUP
- 2016-04-01 14:09:24
- date last changed
- 2022-04-14 08:20:16
@article{f229e61f-5e80-49a6-a1df-9c62da440986,
abstract = {{Purpose: Previous research on the influence of the food environment on weight status has often used impersonal measures 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.}},
author = {{Chaix, Basile and Bean, Kathy and Daniel, Mark and Zenk, Shannon N. and Kestens, Yan and Charreire, Helene and Leal, Cinira and Thomas, Frederique and Karusisi, Noella and Weber, Christiane and Oppert, Jean-Michel and Simon, Chantal and Merlo, Juan and Pannier, Bruno}},
issn = {{1932-6203}},
language = {{eng}},
number = {{4}},
publisher = {{Public Library of Science (PLoS)}},
series = {{PLoS ONE}},
title = {{Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study)}},
url = {{https://lup.lub.lu.se/search/files/3818210/3460997.pdf}},
doi = {{10.1371/journal.pone.0032908}},
volume = {{7}},
year = {{2012}},
}