Socio-Cognitive Factors Associated With Lifestyle Changes in Response to the COVID-19 Epidemic in the General Population: Results From a Cross-Sectional Study in France.
Identifieur interne : 000F20 ( Main/Exploration ); précédent : 000F19; suivant : 000F21Socio-Cognitive Factors Associated With Lifestyle Changes in Response to the COVID-19 Epidemic in the General Population: Results From a Cross-Sectional Study in France.
Auteurs : Aymery Constant [France] ; Donaldson Fadael Conserve [États-Unis] ; Karine Gallopel-Morvan [France] ; Jocelyn Raude [France]Source :
- Frontiers in psychology [ 1664-1078 ] ; 2020.
Abstract
Background
The aims of the present study were to assess changes in lifestyles in the general population in response to coronavirus disease 2019 (COVID-19) lockdown and the influence of COVID-19 perceptions, as assessed by the Extended Parallel Process Model (EPPM), on these changes.
Methods
Data were collected from 4005 individuals through an online survey conducted 3-4 weeks after the nationwide lockdown implementation in France. Participants were asked whether they practiced five behaviors (i.e., screen watching, snacking, eating fruits and vegetables, exercising, and walking) less often, as often as, or more often than prior to the lockdown. Beliefs and expectations toward the COVID-19 epidemic were also assessed using an adapted version of Witte's EPPM, together with sociodemographic and environmental variables. Among the respondents consuming regularly alcohol and tobacco, logistic regressions were performed to estimate the Odds ratios (ORs) of increase (yes/no) and decrease (yes/no) in drinking and smoking since the lockdown.
Results
More than 8 in 10 respondents reported unhealthy changes in lifestyle since the lockdown, mostly in relation to physical activity. The unhealthy changes were positively associated with male sex (RR = 1.17; confidence interval [95% CI] = 1.10-1.24), living urban density, having a garden (RR = 1.16 [1.07-1.26]), financial difficulties because of COVID-19 (RR = 1.09 [1.02-1.18]), and lack of fear control (RR = 1.04 [1.01-1.09]) and negatively with cognitive avoidance (RR = 0.92 [0.89-0.95]). Less than 4 in 10 respondents reported healthy changes over the same period, mostly in relation to better eating habits. They were positively associated with living with more than two persons (RR = 1.22 [1.02-1.45]), having a terrace (RR = 1.14 [1.02-1.29], and perceived efficacy (RR = 1.11 [1.04-1.08]) and negatively with being aged 40 or higher. Alcohol consumption overall declined in regular drinkers, while a slight increase in tobacco use was observed in regular smokers.
Discussion
The COVID-19 pandemic and lockdown resulted in frequent and mostly unhealthy changes in lifestyle among the general population. These changes were related to individual and environmental characteristics but also to EPPM appraisals in the wake of fear appeal from COVID-19 campaigns. Communication and preventive measures should include messages and initiatives toward the maintenance of healthy lifestyles during pandemics such as the adaptation of physical activity and eating guidelines to the particular contexts of mobility restriction and infection control.
DOI: 10.3389/fpsyg.2020.579460
PubMed: 33132989
PubMed Central: PMC7550454
Affiliations:
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Aymery" uniqKey="Constant A" first="Aymery" last="Constant">Aymery Constant</name><affiliation wicri:level="3"><nlm:affiliation>EHESP School of Public Health, Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>EHESP School of Public Health, Rennes</wicri:regionArea><placeName><region type="region">Région Bretagne</region><region type="old region">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer institute, NuMeCan, Rennes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer institute, NuMeCan, Rennes</wicri:regionArea><placeName><region type="region">Région Bretagne</region><region type="old region">Région Bretagne</region><settlement type="city">Rennes</settlement></placeName></affiliation></author><author><name sortKey="Conserve, Donaldson Fadael" sort="Conserve, Donaldson Fadael" uniqKey="Conserve D" first="Donaldson Fadael" last="Conserve">Donaldson Fadael Conserve</name><affiliation wicri:level="2"><nlm:affiliation>Milken Institute School of Public Health, George Washington University, Washington, DC, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Milken Institute School of Public Health, George Washington University, Washington, DC</wicri:regionArea><placeName><region type="state">District de Columbia</region></placeName></affiliation></author><author><name sortKey="Gallopel Morvan, Karine" sort="Gallopel Morvan, Karine" uniqKey="Gallopel Morvan K" first="Karine" last="Gallopel-Morvan">Karine Gallopel-Morvan</name><affiliation wicri:level="3"><nlm:affiliation>EHESP School of Public Health, Rennes, France.</nlm:affiliation><country 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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 aims of the present study were to assess changes in lifestyles in the general population in response to coronavirus disease 2019 (COVID-19) lockdown and the influence of COVID-19 perceptions, as assessed by the Extended Parallel Process Model (EPPM), on these changes.</p></div><div type="abstract" xml:lang="en"><p><b>Methods</b></p><p>Data were collected from 4005 individuals through an online survey conducted 3-4 weeks after the nationwide lockdown implementation in France. Participants were asked whether they practiced five behaviors (i.e., screen watching, snacking, eating fruits and vegetables, exercising, and walking) less often, as often as, or more often than prior to the lockdown. Beliefs and expectations toward the COVID-19 epidemic were also assessed using an adapted version of Witte's EPPM, together with sociodemographic and environmental variables. Among the respondents consuming regularly alcohol and tobacco, logistic regressions were performed to estimate the Odds ratios (ORs) of increase (yes/no) and decrease (yes/no) in drinking and smoking since the lockdown.</p></div><div type="abstract" xml:lang="en"><p><b>Results</b></p><p>More than 8 in 10 respondents reported unhealthy changes in lifestyle since the lockdown, mostly in relation to physical activity. The unhealthy changes were positively associated with male sex (RR = 1.17; confidence interval [95% CI] = 1.10-1.24), living urban density, having a garden (RR = 1.16 [1.07-1.26]), financial difficulties because of COVID-19 (RR = 1.09 [1.02-1.18]), and lack of fear control (RR = 1.04 [1.01-1.09]) and negatively with cognitive avoidance (RR = 0.92 [0.89-0.95]). Less than 4 in 10 respondents reported healthy changes over the same period, mostly in relation to better eating habits. They were positively associated with living with more than two persons (RR = 1.22 [1.02-1.45]), having a terrace (RR = 1.14 [1.02-1.29], and perceived efficacy (RR = 1.11 [1.04-1.08]) and negatively with being aged 40 or higher. Alcohol consumption overall declined in regular drinkers, while a slight increase in tobacco use was observed in regular smokers.</p></div><div type="abstract" xml:lang="en"><p><b>Discussion</b></p><p>The COVID-19 pandemic and lockdown resulted in frequent and mostly unhealthy changes in lifestyle among the general population. These changes were related to individual and environmental characteristics but also to EPPM appraisals in the wake of fear appeal from COVID-19 campaigns. Communication and preventive measures should include messages and initiatives toward the maintenance of healthy lifestyles during pandemics such as the adaptation of physical activity and eating guidelines to the particular contexts of mobility restriction and infection control.</p></div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">33132989</PMID><DateRevised><Year>2020</Year><Month>11</Month><Day>03</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-1078</ISSN><JournalIssue CitedMedium="Print"><Volume>11</Volume><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>Frontiers in psychology</Title><ISOAbbreviation>Front Psychol</ISOAbbreviation></Journal><ArticleTitle>Socio-Cognitive Factors Associated With Lifestyle Changes in Response to the COVID-19 Epidemic in the General Population: Results From a Cross-Sectional Study in France.</ArticleTitle><Pagination><MedlinePgn>579460</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpsyg.2020.579460</ELocationID><Abstract><AbstractText Label="Background" NlmCategory="UNASSIGNED">The aims of the present study were to assess changes in lifestyles in the general population in response to coronavirus disease 2019 (COVID-19) lockdown and the influence of COVID-19 perceptions, as assessed by the Extended Parallel Process Model (EPPM), on these changes.</AbstractText><AbstractText Label="Methods" NlmCategory="UNASSIGNED">Data were collected from 4005 individuals through an online survey conducted 3-4 weeks after the nationwide lockdown implementation in France. Participants were asked whether they practiced five behaviors (i.e., screen watching, snacking, eating fruits and vegetables, exercising, and walking) less often, as often as, or more often than prior to the lockdown. Beliefs and expectations toward the COVID-19 epidemic were also assessed using an adapted version of Witte's EPPM, together with sociodemographic and environmental variables. Among the respondents consuming regularly alcohol and tobacco, logistic regressions were performed to estimate the Odds ratios (ORs) of increase (yes/no) and decrease (yes/no) in drinking and smoking since the lockdown.</AbstractText><AbstractText Label="Results" NlmCategory="UNASSIGNED">More than 8 in 10 respondents reported unhealthy changes in lifestyle since the lockdown, mostly in relation to physical activity. The unhealthy changes were positively associated with male sex (RR = 1.17; confidence interval [95% CI] = 1.10-1.24), living urban density, having a garden (RR = 1.16 [1.07-1.26]), financial difficulties because of COVID-19 (RR = 1.09 [1.02-1.18]), and lack of fear control (RR = 1.04 [1.01-1.09]) and negatively with cognitive avoidance (RR = 0.92 [0.89-0.95]). Less than 4 in 10 respondents reported healthy changes over the same period, mostly in relation to better eating habits. They were positively associated with living with more than two persons (RR = 1.22 [1.02-1.45]), having a terrace (RR = 1.14 [1.02-1.29], and perceived efficacy (RR = 1.11 [1.04-1.08]) and negatively with being aged 40 or higher. Alcohol consumption overall declined in regular drinkers, while a slight increase in tobacco use was observed in regular smokers.</AbstractText><AbstractText Label="Discussion" NlmCategory="UNASSIGNED">The COVID-19 pandemic and lockdown resulted in frequent and mostly unhealthy changes in lifestyle among the general population. These changes were related to individual and environmental characteristics but also to EPPM appraisals in the wake of fear appeal from COVID-19 campaigns. Communication and preventive measures should include messages and initiatives toward the maintenance of healthy lifestyles during pandemics such as the adaptation of physical activity and eating guidelines to the particular contexts of mobility restriction and infection control.</AbstractText><CopyrightInformation>Copyright © 2020 Constant, Conserve, Gallopel-Morvan and Raude.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Constant</LastName><ForeName>Aymery</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>EHESP School of Public Health, Rennes, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer institute, NuMeCan, Rennes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Conserve</LastName><ForeName>Donaldson Fadael</ForeName><Initials>DF</Initials><AffiliationInfo><Affiliation>Milken Institute School of Public Health, George Washington University, Washington, DC, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gallopel-Morvan</LastName><ForeName>Karine</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>EHESP School of Public Health, Rennes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Raude</LastName><ForeName>Jocelyn</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>EHESP School of Public Health, Rennes, 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>29</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Psychol</MedlineTA><NlmUniqueID>101550902</NlmUniqueID><ISSNLinking>1664-1078</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">barriers</Keyword><Keyword MajorTopicYN="N">confinement</Keyword><Keyword MajorTopicYN="N">coping strategics</Keyword><Keyword MajorTopicYN="N">eating habits</Keyword><Keyword MajorTopicYN="N">physical activity</Keyword><Keyword MajorTopicYN="N">stress</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>07</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>08</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>11</Month><Day>2</Day><Hour>6</Hour><Minute>15</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>11</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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