COVID-19 Lockdown and Changes in Dietary and Lifestyle Behaviors in a French Longitudinal Cohort Article Swipe
A. De Reviers
,
Agnès Helme-Guizon
,
Christophe Moinard
,
Catherine Féart
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/nu15214682
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/nu15214682
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/nu15214682
- https://www.mdpi.com/2072-6643/15/21/4682/pdf?version=1699100180
- OA Status
- gold
- Cited By
- 1
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388333746
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388333746Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/nu15214682Digital Object Identifier
- Title
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COVID-19 Lockdown and Changes in Dietary and Lifestyle Behaviors in a French Longitudinal CohortWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-04Full publication date if available
- Authors
-
A. De Reviers, Agnès Helme-Guizon, Christophe Moinard, Catherine FéartList of authors in order
- Landing page
-
https://doi.org/10.3390/nu15214682Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-6643/15/21/4682/pdf?version=1699100180Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2072-6643/15/21/4682/pdf?version=1699100180Direct OA link when available
- Concepts
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Snacking, Demography, Cohort, Cluster (spacecraft), Medicine, Cohort study, Longitudinal study, Gerontology, Coronavirus disease 2019 (COVID-19), Young adult, Psychology, Obesity, Internal medicine, Disease, Computer science, Pathology, Infectious disease (medical specialty), Sociology, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.beginning | 93 |
| abstract_inverted_index.behaviors | 30, 238, 264 |
| abstract_inverted_index.clusters. | 154 |
| abstract_inverted_index.completed | 80 |
| abstract_inverted_index.determine | 22 |
| abstract_inverted_index.different | 140, 160 |
| abstract_inverted_index.duration. | 167 |
| abstract_inverted_index.follow-up | 166 |
| abstract_inverted_index.frequency | 187 |
| abstract_inverted_index.lockdown, | 248 |
| abstract_inverted_index.lockdown. | 51 |
| abstract_inverted_index.lockdowns | 7 |
| abstract_inverted_index.occasions | 86 |
| abstract_inverted_index.occurred, | 251 |
| abstract_inverted_index.provided. | 290 |
| abstract_inverted_index.resulting | 8 |
| abstract_inverted_index.algorithm. | 118 |
| abstract_inverted_index.behavioral | 143, 249 |
| abstract_inverted_index.behaviors. | 17 |
| abstract_inverted_index.lifestyles | 14 |
| abstract_inverted_index.throughout | 228 |
| abstract_inverted_index.Background: | 0 |
| abstract_inverted_index.differences | 148 |
| abstract_inverted_index.disruptions | 11 |
| abstract_inverted_index.experienced | 159 |
| abstract_inverted_index.restrictive | 271 |
| abstract_inverted_index.significant | 147 |
| abstract_inverted_index.situations, | 285 |
| abstract_inverted_index.Conclusions: | 245 |
| abstract_inverted_index.constraining | 284 |
| abstract_inverted_index.longitudinal | 58 |
| abstract_inverted_index.participants | 67, 111 |
| abstract_inverted_index.personalized | 286 |
| abstract_inverted_index.significant. | 244 |
| abstract_inverted_index.questionnaire | 83 |
| abstract_inverted_index.self-reported | 82 |
| abstract_inverted_index.significantly | 198 |
| abstract_inverted_index.identification | 276 |
| abstract_inverted_index.non-supervised | 116 |
| abstract_inverted_index.recommendations | 287 |
| abstract_inverted_index.health-favorable | 253 |
| abstract_inverted_index.non-health-favorable, | 255 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8199999928474426 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.64815959 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |