Serveur d'exploration sur la COVID chez les séniors

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

A cross-sectional study of psychological wellbeing of Indian adults during the Covid-19 lockdown: Different strokes for different folks.

Identifieur interne : 000986 ( Main/Exploration ); précédent : 000985; suivant : 000987

A cross-sectional study of psychological wellbeing of Indian adults during the Covid-19 lockdown: Different strokes for different folks.

Auteurs : Anupam Joya Sharma [Inde] ; Malavika A. Subramanyam [Inde]

Source :

RBID : pubmed:32881946

Descripteurs français

English descriptors

Abstract

The psychological impacts of the lockdown due to the Covid-19 pandemic are widely documented. In India, a family-centric society with a high population density and extreme social stratification, the impact of the lockdown might vary across diverse social groups. However, the patterning in the psychological impact of the lockdown among LGBT adults and persons known to be at higher risk of the complications of Covid-19 (such as persons with comorbidities or a history of mental illness) is not known in the Indian context. We used mixed methods (online survey, n = 282 and in-depth interviews, n = 14) to investigate whether the psychological influence of the lockdown was different across these groups of Indian adults. We fitted linear and logistic regression models adjusted for sociodemographic covariates. Thematic analysis helped us identify emergent themes in our qualitative narratives. Anxiety was found to be higher among LGBT adults (β = 2.44, CI: 0.58, 4.31), the high-risk group (persons with comorbidities) (β = 2.20, CI:0.36, 4.05), and those with a history of depression/loneliness (β = 3.89, CI:2.34, 5.44). Persons belonging to the LGBT group reported a greater usage of pornography than the heterosexuals (β = 2.72, CI: 0.09, 5.36) during the lockdown. Qualitative findings suggested that LGBT adults likely used pornography and masturbation to cope with the lockdown, given the limited physical access to sexual partners in a society that stigmatizes homosexuality. Moreover, both qualitative and quantitative study findings suggested that greater frequency of calling family members during lockdown could strengthen social relationships and increase social empathy. The study thereby urgently calls for the attention of policymakers to take sensitive and inclusive health-related decisions for the marginalized and the vulnerable, both during and after the crisis.

DOI: 10.1371/journal.pone.0238761
PubMed: 32881946
PubMed Central: PMC7470332


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">A cross-sectional study of psychological wellbeing of Indian adults during the Covid-19 lockdown: Different strokes for different folks.</title>
<author>
<name sortKey="Sharma, Anupam Joya" sort="Sharma, Anupam Joya" uniqKey="Sharma A" first="Anupam Joya" last="Sharma">Anupam Joya Sharma</name>
<affiliation wicri:level="1">
<nlm:affiliation>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat</wicri:regionArea>
<wicri:noRegion>Gujarat</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Subramanyam, Malavika A" sort="Subramanyam, Malavika A" uniqKey="Subramanyam M" first="Malavika A" last="Subramanyam">Malavika A. Subramanyam</name>
<affiliation wicri:level="1">
<nlm:affiliation>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat</wicri:regionArea>
<wicri:noRegion>Gujarat</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32881946</idno>
<idno type="pmid">32881946</idno>
<idno type="doi">10.1371/journal.pone.0238761</idno>
<idno type="pmc">PMC7470332</idno>
<idno type="wicri:Area/Main/Corpus">000359</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000359</idno>
<idno type="wicri:Area/Main/Curation">000359</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000359</idno>
<idno type="wicri:Area/Main/Exploration">000359</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">A cross-sectional study of psychological wellbeing of Indian adults during the Covid-19 lockdown: Different strokes for different folks.</title>
<author>
<name sortKey="Sharma, Anupam Joya" sort="Sharma, Anupam Joya" uniqKey="Sharma A" first="Anupam Joya" last="Sharma">Anupam Joya Sharma</name>
<affiliation wicri:level="1">
<nlm:affiliation>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat</wicri:regionArea>
<wicri:noRegion>Gujarat</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Subramanyam, Malavika A" sort="Subramanyam, Malavika A" uniqKey="Subramanyam M" first="Malavika A" last="Subramanyam">Malavika A. Subramanyam</name>
<affiliation wicri:level="1">
<nlm:affiliation>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat</wicri:regionArea>
<wicri:noRegion>Gujarat</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j">PloS one</title>
<idno type="eISSN">1932-6203</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Anxiety (epidemiology)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (prevention & control)</term>
<term>Coronavirus Infections (psychology)</term>
<term>Depression (epidemiology)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>India (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (prevention & control)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (prevention & control)</term>
<term>Pneumonia, Viral (psychology)</term>
<term>Quarantine (psychology)</term>
<term>Quarantine (statistics & numerical data)</term>
<term>Sexual and Gender Minorities (psychology)</term>
<term>Sexual and Gender Minorities (statistics & numerical data)</term>
<term>Stress, Psychological (epidemiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Anxiété (épidémiologie)</term>
<term>Dépression (épidémiologie)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Inde (MeSH)</term>
<term>Infections à coronavirus (prévention et contrôle)</term>
<term>Infections à coronavirus (psychologie)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Minorités sexuelles (psychologie)</term>
<term>Minorités sexuelles (statistiques et données numériques)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (prévention et contrôle)</term>
<term>Pneumopathie virale (prévention et contrôle)</term>
<term>Pneumopathie virale (psychologie)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Quarantaine (psychologie)</term>
<term>Quarantaine (statistiques et données numériques)</term>
<term>Stress psychologique (épidémiologie)</term>
<term>Sujet âgé (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en">
<term>India</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Anxiety</term>
<term>Coronavirus Infections</term>
<term>Depression</term>
<term>Pneumonia, Viral</term>
<term>Stress, Psychological</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr">
<term>Infections à coronavirus</term>
<term>Pandémies</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="psychologie" xml:lang="fr">
<term>Infections à coronavirus</term>
<term>Minorités sexuelles</term>
<term>Pneumopathie virale</term>
<term>Quarantaine</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
<term>Quarantine</term>
<term>Sexual and Gender Minorities</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en">
<term>Quarantine</term>
<term>Sexual and Gender Minorities</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr">
<term>Minorités sexuelles</term>
<term>Quarantaine</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Anxiété</term>
<term>Dépression</term>
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Stress psychologique</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Femelle</term>
<term>Humains</term>
<term>Inde</term>
<term>Mâle</term>
<term>Sujet âgé</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Inde</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">The psychological impacts of the lockdown due to the Covid-19 pandemic are widely documented. In India, a family-centric society with a high population density and extreme social stratification, the impact of the lockdown might vary across diverse social groups. However, the patterning in the psychological impact of the lockdown among LGBT adults and persons known to be at higher risk of the complications of Covid-19 (such as persons with comorbidities or a history of mental illness) is not known in the Indian context. We used mixed methods (online survey, n = 282 and in-depth interviews, n = 14) to investigate whether the psychological influence of the lockdown was different across these groups of Indian adults. We fitted linear and logistic regression models adjusted for sociodemographic covariates. Thematic analysis helped us identify emergent themes in our qualitative narratives. Anxiety was found to be higher among LGBT adults (β = 2.44, CI: 0.58, 4.31), the high-risk group (persons with comorbidities) (β = 2.20, CI:0.36, 4.05), and those with a history of depression/loneliness (β = 3.89, CI:2.34, 5.44). Persons belonging to the LGBT group reported a greater usage of pornography than the heterosexuals (β = 2.72, CI: 0.09, 5.36) during the lockdown. Qualitative findings suggested that LGBT adults likely used pornography and masturbation to cope with the lockdown, given the limited physical access to sexual partners in a society that stigmatizes homosexuality. Moreover, both qualitative and quantitative study findings suggested that greater frequency of calling family members during lockdown could strengthen social relationships and increase social empathy. The study thereby urgently calls for the attention of policymakers to take sensitive and inclusive health-related decisions for the marginalized and the vulnerable, both during and after the crisis.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">32881946</PMID>
<DateCompleted>
<Year>2020</Year>
<Month>09</Month>
<Day>17</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>09</Month>
<Day>17</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection">
<Journal>
<ISSN IssnType="Electronic">1932-6203</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>15</Volume>
<Issue>9</Issue>
<PubDate>
<Year>2020</Year>
</PubDate>
</JournalIssue>
<Title>PloS one</Title>
<ISOAbbreviation>PLoS One</ISOAbbreviation>
</Journal>
<ArticleTitle>A cross-sectional study of psychological wellbeing of Indian adults during the Covid-19 lockdown: Different strokes for different folks.</ArticleTitle>
<Pagination>
<MedlinePgn>e0238761</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0238761</ELocationID>
<Abstract>
<AbstractText>The psychological impacts of the lockdown due to the Covid-19 pandemic are widely documented. In India, a family-centric society with a high population density and extreme social stratification, the impact of the lockdown might vary across diverse social groups. However, the patterning in the psychological impact of the lockdown among LGBT adults and persons known to be at higher risk of the complications of Covid-19 (such as persons with comorbidities or a history of mental illness) is not known in the Indian context. We used mixed methods (online survey, n = 282 and in-depth interviews, n = 14) to investigate whether the psychological influence of the lockdown was different across these groups of Indian adults. We fitted linear and logistic regression models adjusted for sociodemographic covariates. Thematic analysis helped us identify emergent themes in our qualitative narratives. Anxiety was found to be higher among LGBT adults (β = 2.44, CI: 0.58, 4.31), the high-risk group (persons with comorbidities) (β = 2.20, CI:0.36, 4.05), and those with a history of depression/loneliness (β = 3.89, CI:2.34, 5.44). Persons belonging to the LGBT group reported a greater usage of pornography than the heterosexuals (β = 2.72, CI: 0.09, 5.36) during the lockdown. Qualitative findings suggested that LGBT adults likely used pornography and masturbation to cope with the lockdown, given the limited physical access to sexual partners in a society that stigmatizes homosexuality. Moreover, both qualitative and quantitative study findings suggested that greater frequency of calling family members during lockdown could strengthen social relationships and increase social empathy. The study thereby urgently calls for the attention of policymakers to take sensitive and inclusive health-related decisions for the marginalized and the vulnerable, both during and after the crisis.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Sharma</LastName>
<ForeName>Anupam Joya</ForeName>
<Initials>AJ</Initials>
<Identifier Source="ORCID">0000-0002-1726-9992</Identifier>
<AffiliationInfo>
<Affiliation>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Subramanyam</LastName>
<ForeName>Malavika A</ForeName>
<Initials>MA</Initials>
<AffiliationInfo>
<Affiliation>Social Epidemiology, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>09</Month>
<Day>03</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>United States</Country>
<MedlineTA>PLoS One</MedlineTA>
<NlmUniqueID>101285081</NlmUniqueID>
<ISSNLinking>1932-6203</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList>
<SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001007" MajorTopicYN="N">Anxiety</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D003863" MajorTopicYN="N">Depression</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007194" MajorTopicYN="N" Type="Geographic">India</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011790" MajorTopicYN="N">Quarantine</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000072339" MajorTopicYN="N">Sexual and Gender Minorities</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013315" MajorTopicYN="N">Stress, Psychological</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
</MeshHeading>
</MeshHeadingList>
<CoiStatement>The authors have declared that no competing interests exist.</CoiStatement>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2020</Year>
<Month>05</Month>
<Day>22</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2020</Year>
<Month>08</Month>
<Day>23</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2020</Year>
<Month>9</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2020</Year>
<Month>9</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2020</Year>
<Month>9</Month>
<Day>18</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">32881946</ArticleId>
<ArticleId IdType="doi">10.1371/journal.pone.0238761</ArticleId>
<ArticleId IdType="pii">PONE-D-20-15445</ArticleId>
<ArticleId IdType="pmc">PMC7470332</ArticleId>
</ArticleIdList>
<ReferenceList>
<Reference>
<Citation>Arch Intern Med. 2006 May 22;166(10):1092-7</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16717171</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Brain Behav Immun. 2020 Aug;88:948-949</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32289366</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Int J Nurs Stud. 2007 Aug;44(6):991-8</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16618485</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Dialogues Clin Neurosci. 2008;10(3):329-36</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18979946</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Nurse Res. 2004 Sep 1;12(1):82-83</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">28718745</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>PLoS One. 2020 May 14;15(5):e0233410</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32407409</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Front Psychiatry. 2020 Jun 03;11:523</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32581891</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMC Public Health. 2013 Apr 15;13:344</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">23587175</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Emerg Infect Dis. 2004 Jul;10(7):1206-12</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">15324539</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>JAMA Netw Open. 2020 Mar 2;3(3):e203976</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32202646</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Asian J Psychiatr. 2020 Jun;51:102083</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32283510</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Psychol Bull. 2003 Sep;129(5):674-697</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">12956539</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Pers Soc Psychol. 1994 Dec;67(6):1063-78</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">7815302</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Res Nurs Health. 2016 Aug;39(4):244-52</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">27176758</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Sex Res. 2018 May -Jun;55(4-5):435-456</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">29099625</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Int Braz J Urol. 2020 Jul;46(suppl.1):104-112</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32550703</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Arch Sex Behav. 2020 Jul 21;:</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32696154</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Int J Behav Med. 2008;15(3):194-200</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18696313</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Clin Infect Dis. 2004 Apr 1;38(7):925-31</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">15034821</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Aust N Z J Psychiatry. 2005 Jul;39(7):583-90</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">15996139</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Obes. 2012;2012:407103</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">22778917</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMC Public Health. 2008 Oct 03;8:347</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18831770</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Clin Psychol Rev. 2007 Dec;27(8):959-85</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17448579</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Psychiatry Investig. 2017 May;14(3):240-248</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">28539942</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Sex Marital Ther. 2018 Feb 17;44(2):127-137</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">28448246</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Sex Addict Compulsivity. 2014;21(3):240-261</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">25838755</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>AIDS Behav. 2020 Aug;24(8):2250-2252</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32328849</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>AIDS Behav. 2020 Aug;24(8):2236-2238</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32303923</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Psychol Res. 2019 Jul 18;:</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">31321518</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Am Psychiatr Nurses Assoc. 2013 Jan-Feb;19(1):36-46</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">23392433</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Clin Pract Epidemiol Ment Health. 2010 May 14;6:25-9</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">20592964</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Am J Prev Med. 1994 Mar-Apr;10(2):77-84</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">8037935</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Dialogues Clin Neurosci. 2003 Sep;5(3):249-58</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">22033804</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Ann Intern Med. 2020 Sep 1;173(5):387-389</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32384139</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Nurs Res. 2008 Mar-Apr;57(2):113-7</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18347483</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Biosci Trends. 2020 Mar 16;14(1):1-2</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32092748</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Homosex. 1999;37(1):95-108</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">10203072</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Qual Health Res. 2016 Nov;26(13):1802-1811</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">27340178</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Inde</li>
</country>
</list>
<tree>
<country name="Inde">
<noRegion>
<name sortKey="Sharma, Anupam Joya" sort="Sharma, Anupam Joya" uniqKey="Sharma A" first="Anupam Joya" last="Sharma">Anupam Joya Sharma</name>
</noRegion>
<name sortKey="Subramanyam, Malavika A" sort="Subramanyam, Malavika A" uniqKey="Subramanyam M" first="Malavika A" last="Subramanyam">Malavika A. Subramanyam</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000986 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000986 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidSeniorV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32881946
   |texte=   A cross-sectional study of psychological wellbeing of Indian adults during the Covid-19 lockdown: Different strokes for different folks.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32881946" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidSeniorV1 

Wicri

This area was generated with Dilib version V0.6.37.
Data generation: Thu Oct 15 09:49:45 2020. Site generation: Wed Jan 27 17:10:23 2021