Recchia D., Rollet P., Perignon M., Bricas N., Vonthron S., Perrin C., Méjean C. (2022). Changes in food purchasing practices of french households during the first COVID-19 lockdown and associated individual and environmental factors. Frontiers in Nutrition, 01/03/2022, vol. 9, p. 1-14.
https://doi.org/10.3389/fnut.2022.828550
https://doi.org/10.3389/fnut.2022.828550
Titre : | Changes in food purchasing practices of french households during the first COVID-19 lockdown and associated individual and environmental factors (2022) |
Auteurs : | D. Recchia ; P. Rollet ; M. Perignon ; N. Bricas ; S. Vonthron ; C. Perrin ; C. Méjean |
Type de document : | Article |
Dans : | Frontiers in Nutrition (vol. 9, March 2022) |
Article en page(s) : | p. 1-14 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 08 - ALIMENTATION ; 8.1 - Consommation Alimentaire. ComportementThésaurus IAMM COVID-19 ; ALIMENTATION HUMAINE ; CONSOMMATION ALIMENTAIRE ; CIRCUIT DE COMMERCIALISATION ; SYSTEME D'INFORMATION GEOGRAPHIQUE ; SUPERMARCHE ; COMMERCE ELECTRONIQUE ; ALIMENT BIOLOGIQUE POUR HOMME ; COMPORTEMENT DU CONSOMMATEUR ; FRANCE |
Résumé : | Background: To limit the spread of COVID-19, a strict lockdown was imposed in France between March and May 2020. Mobility limitations and closure of non-essential public places (restaurants, open-air markets, etc.) affected peoples' food environment (FE) and thus their food purchasing practices (FPPs). This study aimed to explore changes in FPPs of French households during lockdown and associations with individual and environmental factors. Methods: In April of 2020 households from the Mont'Panier cross-sectional study (n = 306), a quota sampling survey conducted in the south of France, were asked to complete an online questionnaire about their FPPs during lockdown and related factors, including perceived FE (distance to closest general food store, perception of increased food prices, etc.). Objective FE (presence, number, proximity, and density of food outlets) was assessed around participant's home using a geographical information system. Multiple correspondence analysis based on changes in frequency of use and quantity of food purchased by food outlet, followed by a hierarchical cluster analysis, resulted in the identification of clusters. Logistic regression models were performed to assess associations between identified clusters and household's sociodemographic characteristics, perceived, and objective FE. Results: Five clusters were identified. Cluster Supermarket (38% of the total sample), in which households reduced frequency of trips, but increased quantity bought in supermarkets during lockdown, was associated with lower incomes and the perception of increased food prices. Cluster E-supermarket (12%), in which households increased online food shopping with pickup at supermarket, was associated with higher incomes. Cluster Diversified (22%), made up of households who reduced frequency of trips to diverse food outlet types, was associated with the perception of increased food prices. Cluster Organic Food Store (20%), in which households did not change frequency of trips, nor quantity purchased in organic food stores, was associated with being older (3550 y vs. |
Cote : | En ligne |
URL / DOI : | https://doi.org/10.3389/fnut.2022.828550 |