Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study.
Identifieur interne : 000E95 ( Main/Exploration ); précédent : 000E94; suivant : 000E96Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study.
Auteurs : Benjamin Rolland [France] ; Frédéric Haesebaert [France] ; Elodie Zante [France] ; Amine Benyamina [France] ; Julie Haesebaert [France] ; Nicolas Franck [France]Source :
- JMIR public health and surveillance [ 2369-2960 ] ; 2020.
Abstract
BACKGROUND
The international outbreak of coronavirus disease (COVID-19) has led many countries to enforce drastic containment measures. It has been suggested that this abrupt lockdown of populations will foster addiction-related habits such as caloric/salty food intake, screen use, and substance use.
OBJECTIVE
Our aim was to assess the global changes and factors of increase in addiction-related habits during the early COVID-19 containment phase in France.
METHODS
A web-based survey was provided from day 8 to day 13 of the containment and was completed by 11,391 participants. The questions explored sociodemographic features, psychiatric/addiction history, material conditions of lockdown, general stress, mental well-being, and reported changes in several addiction-related behaviors. Global changes were described and factors of increase were explored using population-weighted and adjusted logistic regression models, providing adjusted odds ratios (aORs) and their 95% confidence intervals.
RESULTS
Overall, the respondents reported more increases in addiction-related habits than decreases, specifically 28.4% (caloric/salty food intake), 64.6% (screen use), 35.6% (tobacco use), 24.8% (alcohol use), and 31.2% (cannabis use). Reduced well-being scores and increased stress scores were general factors of increase in addiction-related habits (P<.001 for all habits). Factors of increase in caloric/salty food intake (n=10,771) were female gender (aOR 1.62, 95% CI 1.48-1.77), age less than 29 years (P<.001), having a partner (aOR 1.19, 95% CI 1.06-1.35), being locked down in a more confined space (per 1 square meter/person decrease: aOR 1.02, 95% CI 1.01-1.03), being locked down alone (aOR 1.29, 95% CI 1.11-1.49), and reporting current (aOR 1.94, 95% CI 1.62-2.31) or past (aOR 1.27, 95% CI 1.09-1.47) psychiatric treatment. Factors of increase in screen use (n=11,267) were female gender (aOR 1.31, 95% CI 1.21-1.43), age less than 29 years (P<.001), having no partner (aOR 1.18, 95% CI 1.06-1.32), being employed (P<.001), intermediate/high education level (P<.001), being locked down with no access to an outdoor space (aOR 1.16, 95% CI 1.05-1.29), being locked down alone (aOR 1.15, 95% CI 1.01-1.32), living in an urban environment (P<.01), and not working (P<.001). Factors of increase in tobacco use (n=2787) were female gender (aOR 1.31, 95% CI 1.11-1.55), having no partner (aOR 1.30, 95% CI 1.06-1.59), intermediate/low education level (P<.01), and still working in the workplace (aOR 1.47, 95% CI 1.17-1.86). Factors of increase in alcohol use (n=7108) were age 30-49 years (P<.05), a high level of education (P<.001), and current psychiatric treatment (aOR 1.44, 95% CI 1.10-1.88). The only significant factor of increase in cannabis use (n=620) was intermediate/low level of education (P<.001).
CONCLUSIONS
The early phase of COVID-19 containment in France led to widespread increases in addiction-related habits in the general population. Reduced well-being and increased stress were universal factors of increase. More specific factors were associated with increases in each of the explored habits.
DOI: 10.2196/19630
PubMed: 32589149
Affiliations:
- France
- Auvergne-Rhône-Alpes, Rhône-Alpes, Île-de-France
- Lyon, Paris
- Université Claude Bernard Lyon 1
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d'Addictologie de Lyon, CH Le Vinatier, Hospices Civils de Lyon, Bron</wicri:regionArea><wicri:noRegion>Bron</wicri:noRegion><wicri:noRegion>Bron</wicri:noRegion></affiliation><affiliation wicri:level="4"><nlm:affiliation>Inserm U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Bron, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Inserm U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Bron</wicri:regionArea><wicri:noRegion>Bron</wicri:noRegion><orgName type="university">Université Claude Bernard Lyon 1</orgName><placeName><settlement type="city">Lyon</settlement><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region></placeName></affiliation></author><author><name sortKey="Haesebaert, Frederic" sort="Haesebaert, Frederic" uniqKey="Haesebaert F" first="Frédéric" last="Haesebaert">Frédéric Haesebaert</name><affiliation wicri:level="3"><nlm:affiliation>Centre Ressource de Réhabilitation Psychosociale, CH Le Vinatier, Lyon, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Centre Ressource de Réhabilitation Psychosociale, CH Le Vinatier, Lyon</wicri:regionArea><placeName><region type="region">Auvergne-Rhône-Alpes</region><region type="old region">Rhône-Alpes</region><settlement type="city">Lyon</settlement></placeName></affiliation></author><author><name sortKey="Zante, Elodie" sort="Zante, Elodie" uniqKey="Zante E" first="Elodie" last="Zante">Elodie Zante</name><affiliation wicri:level="3"><nlm:affiliation>Centre Ressource de Réhabilitation Psychosociale, CH Le Vinatier, Lyon, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Centre Ressource de Réhabilitation Psychosociale, CH Le Vinatier, Lyon</wicri:regionArea><placeName><region type="region">Auvergne-Rhône-Alpes</region><region type="old region">Rhône-Alpes</region><settlement type="city">Lyon</settlement></placeName></affiliation></author><author><name sortKey="Benyamina, Amine" sort="Benyamina, Amine" uniqKey="Benyamina A" first="Amine" last="Benyamina">Amine Benyamina</name><affiliation wicri:level="3"><nlm:affiliation>PSYCOMADD 4872, Université Paris-Saclay, Paris, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>PSYCOMADD 4872, Université Paris-Saclay, Paris</wicri:regionArea><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>CH Le Vinatier, Pôle Centre Rive Gauche, Bron, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CH Le Vinatier, Pôle Centre Rive Gauche, Bron</wicri:regionArea><wicri:noRegion>Bron</wicri:noRegion><wicri:noRegion>Bron</wicri:noRegion></affiliation></author><author><name sortKey="Haesebaert, Julie" sort="Haesebaert, Julie" uniqKey="Haesebaert J" first="Julie" last="Haesebaert">Julie Haesebaert</name><affiliation wicri:level="3"><nlm:affiliation>Service de recherche et d'épidémiologie, Pôle de santé publique, Hospices Civils de Lyon, Lyon, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Service de recherche et d'épidémiologie, Pôle de santé publique, Hospices Civils de Lyon, Lyon</wicri:regionArea><placeName><region type="region">Auvergne-Rhône-Alpes</region><region type="old region">Rhône-Alpes</region><settlement type="city">Lyon</settlement></placeName></affiliation></author><author><name sortKey="Franck, Nicolas" sort="Franck, Nicolas" uniqKey="Franck N" first="Nicolas" last="Franck">Nicolas Franck</name><affiliation wicri:level="1"><nlm:affiliation>CH Le Vinatier, Pôle Centre Rive Gauche, Bron, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CH Le Vinatier, Pôle Centre Rive Gauche, Bron</wicri:regionArea><wicri:noRegion>Bron</wicri:noRegion><wicri:noRegion>Bron</wicri:noRegion></affiliation></author></analytic><series><title level="j">JMIR public health and surveillance</title><idno type="eISSN">2369-2960</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>The international outbreak of coronavirus disease (COVID-19) has led many countries to enforce drastic containment measures. It has been suggested that this abrupt lockdown of populations will foster addiction-related habits such as caloric/salty food intake, screen use, and substance use.</p></div><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>Our aim was to assess the global changes and factors of increase in addiction-related habits during the early COVID-19 containment phase in France.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>A web-based survey was provided from day 8 to day 13 of the containment and was completed by 11,391 participants. The questions explored sociodemographic features, psychiatric/addiction history, material conditions of lockdown, general stress, mental well-being, and reported changes in several addiction-related behaviors. Global changes were described and factors of increase were explored using population-weighted and adjusted logistic regression models, providing adjusted odds ratios (aORs) and their 95% confidence intervals.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Overall, the respondents reported more increases in addiction-related habits than decreases, specifically 28.4% (caloric/salty food intake), 64.6% (screen use), 35.6% (tobacco use), 24.8% (alcohol use), and 31.2% (cannabis use). Reduced well-being scores and increased stress scores were general factors of increase in addiction-related habits (P<.001 for all habits). Factors of increase in caloric/salty food intake (n=10,771) were female gender (aOR 1.62, 95% CI 1.48-1.77), age less than 29 years (P<.001), having a partner (aOR 1.19, 95% CI 1.06-1.35), being locked down in a more confined space (per 1 square meter/person decrease: aOR 1.02, 95% CI 1.01-1.03), being locked down alone (aOR 1.29, 95% CI 1.11-1.49), and reporting current (aOR 1.94, 95% CI 1.62-2.31) or past (aOR 1.27, 95% CI 1.09-1.47) psychiatric treatment. Factors of increase in screen use (n=11,267) were female gender (aOR 1.31, 95% CI 1.21-1.43), age less than 29 years (P<.001), having no partner (aOR 1.18, 95% CI 1.06-1.32), being employed (P<.001), intermediate/high education level (P<.001), being locked down with no access to an outdoor space (aOR 1.16, 95% CI 1.05-1.29), being locked down alone (aOR 1.15, 95% CI 1.01-1.32), living in an urban environment (P<.01), and not working (P<.001). Factors of increase in tobacco use (n=2787) were female gender (aOR 1.31, 95% CI 1.11-1.55), having no partner (aOR 1.30, 95% CI 1.06-1.59), intermediate/low education level (P<.01), and still working in the workplace (aOR 1.47, 95% CI 1.17-1.86). Factors of increase in alcohol use (n=7108) were age 30-49 years (P<.05), a high level of education (P<.001), and current psychiatric treatment (aOR 1.44, 95% CI 1.10-1.88). The only significant factor of increase in cannabis use (n=620) was intermediate/low level of education (P<.001).</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The early phase of COVID-19 containment in France led to widespread increases in addiction-related habits in the general population. Reduced well-being and increased stress were universal factors of increase. More specific factors were associated with increases in each of the explored habits.</p></div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">32589149</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>22</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2369-2960</ISSN><JournalIssue CitedMedium="Internet"><Volume>6</Volume><Issue>3</Issue><PubDate><Year>2020</Year><Month>09</Month><Day>18</Day></PubDate></JournalIssue><Title>JMIR public health and surveillance</Title><ISOAbbreviation>JMIR Public Health Surveill</ISOAbbreviation></Journal><ArticleTitle>Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study.</ArticleTitle><Pagination><MedlinePgn>e19630</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2196/19630</ELocationID><Abstract><AbstractText Label="BACKGROUND">The international outbreak of coronavirus disease (COVID-19) has led many countries to enforce drastic containment measures. It has been suggested that this abrupt lockdown of populations will foster addiction-related habits such as caloric/salty food intake, screen use, and substance use.</AbstractText><AbstractText Label="OBJECTIVE">Our aim was to assess the global changes and factors of increase in addiction-related habits during the early COVID-19 containment phase in France.</AbstractText><AbstractText Label="METHODS">A web-based survey was provided from day 8 to day 13 of the containment and was completed by 11,391 participants. The questions explored sociodemographic features, psychiatric/addiction history, material conditions of lockdown, general stress, mental well-being, and reported changes in several addiction-related behaviors. Global changes were described and factors of increase were explored using population-weighted and adjusted logistic regression models, providing adjusted odds ratios (aORs) and their 95% confidence intervals.</AbstractText><AbstractText Label="RESULTS">Overall, the respondents reported more increases in addiction-related habits than decreases, specifically 28.4% (caloric/salty food intake), 64.6% (screen use), 35.6% (tobacco use), 24.8% (alcohol use), and 31.2% (cannabis use). Reduced well-being scores and increased stress scores were general factors of increase in addiction-related habits (P<.001 for all habits). Factors of increase in caloric/salty food intake (n=10,771) were female gender (aOR 1.62, 95% CI 1.48-1.77), age less than 29 years (P<.001), having a partner (aOR 1.19, 95% CI 1.06-1.35), being locked down in a more confined space (per 1 square meter/person decrease: aOR 1.02, 95% CI 1.01-1.03), being locked down alone (aOR 1.29, 95% CI 1.11-1.49), and reporting current (aOR 1.94, 95% CI 1.62-2.31) or past (aOR 1.27, 95% CI 1.09-1.47) psychiatric treatment. Factors of increase in screen use (n=11,267) were female gender (aOR 1.31, 95% CI 1.21-1.43), age less than 29 years (P<.001), having no partner (aOR 1.18, 95% CI 1.06-1.32), being employed (P<.001), intermediate/high education level (P<.001), being locked down with no access to an outdoor space (aOR 1.16, 95% CI 1.05-1.29), being locked down alone (aOR 1.15, 95% CI 1.01-1.32), living in an urban environment (P<.01), and not working (P<.001). Factors of increase in tobacco use (n=2787) were female gender (aOR 1.31, 95% CI 1.11-1.55), having no partner (aOR 1.30, 95% CI 1.06-1.59), intermediate/low education level (P<.01), and still working in the workplace (aOR 1.47, 95% CI 1.17-1.86). Factors of increase in alcohol use (n=7108) were age 30-49 years (P<.05), a high level of education (P<.001), and current psychiatric treatment (aOR 1.44, 95% CI 1.10-1.88). The only significant factor of increase in cannabis use (n=620) was intermediate/low level of education (P<.001).</AbstractText><AbstractText Label="CONCLUSIONS">The early phase of COVID-19 containment in France led to widespread increases in addiction-related habits in the general population. Reduced well-being and increased stress were universal factors of increase. More specific factors were associated with increases in each of the explored habits.</AbstractText><CopyrightInformation>©Benjamin Rolland, Frédéric Haesebaert, Elodie Zante, Amine Benyamina, Julie Haesebaert, Nicolas Franck. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 18.09.2020.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rolland</LastName><ForeName>Benjamin</ForeName><Initials>B</Initials><Identifier Source="ORCID">0000-0002-8666-3635</Identifier><AffiliationInfo><Affiliation>Service Universitaire d'Addictologie de Lyon, CH Le Vinatier, Hospices Civils de Lyon, Bron, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Inserm U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Bron, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Haesebaert</LastName><ForeName>Frédéric</ForeName><Initials>F</Initials><Identifier Source="ORCID">0000-0002-6813-9012</Identifier><AffiliationInfo><Affiliation>Centre Ressource de Réhabilitation Psychosociale, CH Le Vinatier, Lyon, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zante</LastName><ForeName>Elodie</ForeName><Initials>E</Initials><Identifier Source="ORCID">0000-0001-6904-6670</Identifier><AffiliationInfo><Affiliation>Centre Ressource de Réhabilitation Psychosociale, CH Le Vinatier, Lyon, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Benyamina</LastName><ForeName>Amine</ForeName><Initials>A</Initials><Identifier Source="ORCID">0000-0003-2408-8927</Identifier><AffiliationInfo><Affiliation>PSYCOMADD 4872, Université Paris-Saclay, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CH Le Vinatier, Pôle Centre Rive Gauche, Bron, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Haesebaert</LastName><ForeName>Julie</ForeName><Initials>J</Initials><Identifier Source="ORCID">0000-0001-9109-5604</Identifier><AffiliationInfo><Affiliation>Service de recherche et d'épidémiologie, Pôle de santé publique, Hospices Civils de Lyon, Lyon, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Franck</LastName><ForeName>Nicolas</ForeName><Initials>N</Initials><Identifier Source="ORCID">0000-0002-2894-5108</Identifier><AffiliationInfo><Affiliation>CH Le Vinatier, Pôle Centre Rive Gauche, Bron, France.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>Canada</Country><MedlineTA>JMIR Public Health Surveill</MedlineTA><NlmUniqueID>101669345</NlmUniqueID><ISSNLinking>2369-2960</ISSNLinking></MedlineJournalInfo><CitationSubset>H</CitationSubset><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword><Keyword MajorTopicYN="Y">addiction</Keyword><Keyword MajorTopicYN="Y">containment</Keyword><Keyword MajorTopicYN="Y">eating behaviors</Keyword><Keyword MajorTopicYN="Y">internet use</Keyword><Keyword MajorTopicYN="Y">lifestyle</Keyword><Keyword MajorTopicYN="Y">mental health</Keyword><Keyword MajorTopicYN="Y">online survey</Keyword><Keyword MajorTopicYN="Y">pandemic</Keyword><Keyword MajorTopicYN="Y">public health</Keyword><Keyword MajorTopicYN="Y">screen use</Keyword><Keyword MajorTopicYN="Y">substance use</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>04</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>25</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>05</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>6</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>6</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>6</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32589149</ArticleId><ArticleId IdType="pii">v6i3e19630</ArticleId><ArticleId IdType="doi">10.2196/19630</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li><li>Île-de-France</li></region><settlement><li>Lyon</li><li>Paris</li></settlement><orgName><li>Université Claude Bernard Lyon 1</li></orgName></list><tree><country name="France"><noRegion><name sortKey="Rolland, Benjamin" sort="Rolland, Benjamin" uniqKey="Rolland B" first="Benjamin" last="Rolland">Benjamin Rolland</name></noRegion><name sortKey="Benyamina, Amine" sort="Benyamina, Amine" uniqKey="Benyamina A" first="Amine" last="Benyamina">Amine Benyamina</name><name sortKey="Benyamina, Amine" sort="Benyamina, Amine" uniqKey="Benyamina A" first="Amine" last="Benyamina">Amine Benyamina</name><name sortKey="Franck, Nicolas" sort="Franck, Nicolas" uniqKey="Franck N" first="Nicolas" last="Franck">Nicolas Franck</name><name sortKey="Haesebaert, Frederic" sort="Haesebaert, Frederic" uniqKey="Haesebaert F" first="Frédéric" last="Haesebaert">Frédéric Haesebaert</name><name sortKey="Haesebaert, Julie" sort="Haesebaert, Julie" uniqKey="Haesebaert J" first="Julie" last="Haesebaert">Julie Haesebaert</name><name sortKey="Rolland, Benjamin" sort="Rolland, Benjamin" uniqKey="Rolland B" first="Benjamin" last="Rolland">Benjamin Rolland</name><name sortKey="Zante, Elodie" sort="Zante, Elodie" uniqKey="Zante E" first="Elodie" last="Zante">Elodie Zante</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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