COVID-19 Lockdown and Changes in Dietary and Lifestyle Behaviors in a French Longitudinal Cohort.

Autor:	Reviers A; University Grenoble Alpes, Inserm U1055, Laboratoire de Bioénergétique Fondamentale et Appliquée, SFR Structure Interdisciplinaire Grenobloise en Nutrition (SIGN), F-38000 Grenoble, France., Helme-Guizon A; University Grenoble Alpes, Centre d'Etudes et de Recherche Appliqué à la Gestion (CERAG) & Grenoble Institutt d'Administration des Entreprises (IAE)-Institut National Polytechnique (INP), SFR SIGN, F-38000 Grenoble, France., Moinard C; University Grenoble Alpes, Inserm U1055, Laboratoire de Bioénergétique Fondamentale et Appliquée, SFR Structure Interdisciplinaire Grenobloise en Nutrition (SIGN), F-38000 Grenoble, France., Féart C; University of BordeauxBordeaux Population Health Research Center, Inserm, UMR 1219, F-33000 Bordeaux, France.
Jazyk:	angličtina
Zdroj:	Nutrients [Nutrients] 2023 Nov 04; Vol. 15 (21). Date of Electronic Publication: 2023 Nov 04.
DOI:	10.3390/nu15214682
Abstrakt:	Background: The COVID-19 pandemic has imposed local lockdowns resulting in strong disruptions in our lifestyles and dietary behaviors. This study aimed to determine how the lockdown in France affected these behaviors and weight during the lockdown and in a one month follow up period of time after the end of the lockdown. Methods: The study design was a longitudinal cohort, among French adults. A total of 593 participants (68.6% female), with a mean age of 42.2 years (SD = 15.2) completed a self-reported questionnaire on four occasions spaced one month apart, from the beginning of the lockdown starting 17 March 2020, until one month after its end (mid-June 2020). Clusters of participants were formed using the non-supervised k-means algorithm. Results: The mean weight gain after one month of lockdown was 0.56 kg (SD = 0.6). The cluster analysis exposed three different patterns of behavioral changes, despite no significant differences in age or BMI between clusters. These three groups have experienced different weight change dynamics over the follow-up duration. The first cluster ( n = 210) reported fewer changes in sleep quality and quantity and less change in snacking frequency ( p ≤ 0.001). The second cluster ( n = 200) reported significantly lower levels of stress than the other clusters ( p ≤ 0.001). The third cluster ( n = 183) differed from the others, with a more degraded quality of sleep reported throughout the lockdown ( p ≤ 0.01). However, changes in eating behaviors and body weight were not significant. Conclusions: During the lockdown, behavioral changes occurred, both health-favorable and non-health-favorable, yet they had a minor impact on eating behaviors and reported body weight once the restrictive measures were lifted. The identification of three patterns suggests that, in such constraining situations, personalized recommendations should be provided.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu