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Associations between food environment and nutritional quality of food purchases in French households: The Mont'Panier cross-sectional study

Published online by Cambridge University Press:  13 May 2022

Daisy Recchia
Affiliation:
MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France
Marlène Perignon
Affiliation:
MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France
Pascaline Rollet
Affiliation:
MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France
Simon Vonthron
Affiliation:
INNOVATION, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier
Marion Tharrey
Affiliation:
MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France
Nicole Darmon
Affiliation:
MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France
Thierry Feuillet
Affiliation:
University Paris 8, LADYSS, UMR 7533 CNRS, Saint Denis, Nutritional Epidemiology Research Team (EREN), Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center, Paris, France
Caroline Méjean
Affiliation:
MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2022

Background/Objectives

There is growing interest in the role of food environment in dietary behaviors (Reference Dixon, Ugwoaba and Brockmann1Reference Bivoltsis, Cervigni and Trapp2); exposure to the food environment is however complex to define (Reference Bivoltsis, Cervigni and Trapp2Reference Crawford, Jilcott Pitts and McGuirt3). The purpose of this study was to assess whether the built food environment, measured by multiple indicators around home and in activity space, was associated with nutritional quality of food purchases.

Methods

This cross-sectional study included 462 households from a quota sampling survey conducted in the south of France (Montpellier metropolitan area). The revised Healthy Purchase Index was implemented in order to assess nutritional quality of food purchases. Food environment indicators (presence, number, relative density and proximity of food outlets) were calculated around home and in activity space (around home, work, other places of activity and along commuting journeys) using a geographical information system. Six different types of food outlets were studied: supermarkets, markets (open-air and covered markets), greengrocers, bakeries, other specialized food stores (butcher's, fishmonger's and dairy stores) and small grocery stores. Associations between food environment and nutritional quality of food purchases were assessed using multilevel models, and geographically weighted regressions to account for spatial nonstationarity. Models were adjusted for households’ socioeconomic and demographic characteristics.

Results

Nutritional quality of food purchases was positively associated with the number of greengrocers around home (1 vs 0: β=0.26, 95%CI= [0.01, -0.50]; >1 vs 0: β=0.28, 95%CI= [0.03, 0.52]), but negatively associated with the number of markets around home (1 vs 0: β=−0.20, 95%CI= [−0.40, 0.00]; >1 vs 0: β=−0.40, 95%CI= [-0.72, -0.08]), these associations varied across space in the studied area. For households with lower income, number of greengrocers in activity space was positively associated with nutritional quality of food purchases (1 vs 0: β=0.71, 95%CI= [0.13, 1.3]; >1 vs 0: β=0.67, 95%CI= [0.23, 1.1]).

Discussion / Conclusion

Greengrocers might be an efficient food store type to promote healthier dietary behaviors. Further studies, particularly interventional studies, are needed to confirm these results in order to guide public health policies in actions designed to improve the food environment.

Disclosure of Interest

None Declared

References

Dixon, BN, Ugwoaba, UA, Brockmann, AN, et al. (2021) Obes Rev. Apr; 22(4), e13171.CrossRefGoogle Scholar
Bivoltsis, A, Cervigni, E, Trapp, G, et al. (2018) Int J Health Geogr. 09; 17(1), 19.CrossRefGoogle Scholar
Crawford, TW, Jilcott Pitts, SB, McGuirt, JT, et al. (2014) Health Place. Nov; 30, 215–25.CrossRefGoogle Scholar