Mental Health of the COVID-19 Patients in Bangladesh.
Identifieur interne : 000437 ( Main/Corpus ); précédent : 000436; suivant : 000438Mental Health of the COVID-19 Patients in Bangladesh.
Auteurs : M J Hasan ; T. Tabssum ; N E Ambia ; M S Zaman ; M. Rahman ; A S KhanSource :
- Mymensingh medical journal : MMJ [ 2408-8757 ] ; 2021.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Bangladesh.
- epidemiology : Depression.
- Adult, COVID-19, Communicable Disease Control, Cross-Sectional Studies, Humans, Male, Mental Health, Middle Aged, SARS-CoV-2, Surveys and Questionnaires.
Abstract
The mental health aspect of coronavirus disease-19 (COVID-19) patients in Bangladesh has remained less focused and has not been addressed properly. The objective of the study was to assess the levels of anxiety and depression in COVID-19 patients. We adopted a mixed online and telephone-based survey using Google Forms. Recruitment was performed through a snowball sampling approach. The Google Form was initially circulated in Facebook to identify interested participants. Then, three trained physicians interviewed the online responders over telephone for a period spanning from April 2020 to June 2020. Two well-known questionnaires, the Generalized Anxiety Disorder 7-item (GAD-7) scale and the Patient Health Questionnaire (PHQ-9), were used for the assessment of anxiety and depression, respectively. Here, the severity of anxiety was classified with the standard thresholds: minimal or none (0-4), mild (5-9), moderate (10-14) and severe (>15) for the GAD-7. Depression severity score: 0-4 was considered as none or no depression, 5-9: mild, 10-14: moderate, 15-19: moderately severe, 20-27 was for severe depression. A total of 237 patients were finally analyzed. The mean age ±SD of the patients was 41.59±13.73 years. Most of them were male (73%) and lived in urban areas (90.29%). Half of the patients were unemployed, and 17.7% admitted loss of job due to lockdown. The overall prevalence of anxiety and depression was 55.7% and 87.3%, respectively. The mean GAD-7 score was 5.79±4.95, and the mean PHQ-9 score was 5.64±5.15. Among the depressive patients, 3% had minimal depression, 38.4% had mild depression, 32.1% had moderate depression, 11.8% had moderate depression, and 2.1% had a severe depression. Similarly, 37.1%, 10.5% and 8% had mild, moderate and severe levels of anxiety, respectively. Nearly half of the study population (47.7%) was suffering from both depression and anxiety. Living in urban area was an independent predictor for depression (OR 3.882; CI: 1.249-12.069). Considering the high comorbid burden, the mental health issues of these patients need to be addressed and reinforced to the existing health system on a priority basis.
PubMed: 33397873
Links to Exploration step
pubmed:33397873Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Mental Health of the COVID-19 Patients in Bangladesh.</title>
<author><name sortKey="Hasan, M J" sort="Hasan, M J" uniqKey="Hasan M" first="M J" last="Hasan">M J Hasan</name>
<affiliation><nlm:affiliation>Dr Mohammad Jahid Hasan, Executive Director, Pi Research Consultancy Center, Dhaka, Bangladesh; E-mail: dr.jahid61@gmail.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Tabssum, T" sort="Tabssum, T" uniqKey="Tabssum T" first="T" last="Tabssum">T. Tabssum</name>
</author>
<author><name sortKey="Ambia, N E" sort="Ambia, N E" uniqKey="Ambia N" first="N E" last="Ambia">N E Ambia</name>
</author>
<author><name sortKey="Zaman, M S" sort="Zaman, M S" uniqKey="Zaman M" first="M S" last="Zaman">M S Zaman</name>
</author>
<author><name sortKey="Rahman, M" sort="Rahman, M" uniqKey="Rahman M" first="M" last="Rahman">M. Rahman</name>
</author>
<author><name sortKey="Khan, A S" sort="Khan, A S" uniqKey="Khan A" first="A S" last="Khan">A S Khan</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2021">2021</date>
<idno type="RBID">pubmed:33397873</idno>
<idno type="pmid">33397873</idno>
<idno type="wicri:Area/Main/Corpus">000437</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000437</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Mental Health of the COVID-19 Patients in Bangladesh.</title>
<author><name sortKey="Hasan, M J" sort="Hasan, M J" uniqKey="Hasan M" first="M J" last="Hasan">M J Hasan</name>
<affiliation><nlm:affiliation>Dr Mohammad Jahid Hasan, Executive Director, Pi Research Consultancy Center, Dhaka, Bangladesh; E-mail: dr.jahid61@gmail.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Tabssum, T" sort="Tabssum, T" uniqKey="Tabssum T" first="T" last="Tabssum">T. Tabssum</name>
</author>
<author><name sortKey="Ambia, N E" sort="Ambia, N E" uniqKey="Ambia N" first="N E" last="Ambia">N E Ambia</name>
</author>
<author><name sortKey="Zaman, M S" sort="Zaman, M S" uniqKey="Zaman M" first="M S" last="Zaman">M S Zaman</name>
</author>
<author><name sortKey="Rahman, M" sort="Rahman, M" uniqKey="Rahman M" first="M" last="Rahman">M. Rahman</name>
</author>
<author><name sortKey="Khan, A S" sort="Khan, A S" uniqKey="Khan A" first="A S" last="Khan">A S Khan</name>
</author>
</analytic>
<series><title level="j">Mymensingh medical journal : MMJ</title>
<idno type="eISSN">2408-8757</idno>
<imprint><date when="2021" type="published">2021</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term>
<term>Bangladesh (epidemiology)</term>
<term>COVID-19 (MeSH)</term>
<term>Communicable Disease Control (MeSH)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Depression (epidemiology)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Mental Health (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>SARS-CoV-2 (MeSH)</term>
<term>Surveys and Questionnaires (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Bangladesh</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Depression</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>COVID-19</term>
<term>Communicable Disease Control</term>
<term>Cross-Sectional Studies</term>
<term>Humans</term>
<term>Male</term>
<term>Mental Health</term>
<term>Middle Aged</term>
<term>SARS-CoV-2</term>
<term>Surveys and Questionnaires</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The mental health aspect of coronavirus disease-19 (COVID-19) patients in Bangladesh has remained less focused and has not been addressed properly. The objective of the study was to assess the levels of anxiety and depression in COVID-19 patients. We adopted a mixed online and telephone-based survey using Google Forms. Recruitment was performed through a snowball sampling approach. The Google Form was initially circulated in Facebook to identify interested participants. Then, three trained physicians interviewed the online responders over telephone for a period spanning from April 2020 to June 2020. Two well-known questionnaires, the Generalized Anxiety Disorder 7-item (GAD-7) scale and the Patient Health Questionnaire (PHQ-9), were used for the assessment of anxiety and depression, respectively. Here, the severity of anxiety was classified with the standard thresholds: minimal or none (0-4), mild (5-9), moderate (10-14) and severe (>15) for the GAD-7. Depression severity score: 0-4 was considered as none or no depression, 5-9: mild, 10-14: moderate, 15-19: moderately severe, 20-27 was for severe depression. A total of 237 patients were finally analyzed. The mean age ±SD of the patients was 41.59±13.73 years. Most of them were male (73%) and lived in urban areas (90.29%). Half of the patients were unemployed, and 17.7% admitted loss of job due to lockdown. The overall prevalence of anxiety and depression was 55.7% and 87.3%, respectively. The mean GAD-7 score was 5.79±4.95, and the mean PHQ-9 score was 5.64±5.15. Among the depressive patients, 3% had minimal depression, 38.4% had mild depression, 32.1% had moderate depression, 11.8% had moderate depression, and 2.1% had a severe depression. Similarly, 37.1%, 10.5% and 8% had mild, moderate and severe levels of anxiety, respectively. Nearly half of the study population (47.7%) was suffering from both depression and anxiety. Living in urban area was an independent predictor for depression (OR 3.882; CI: 1.249-12.069). Considering the high comorbid burden, the mental health issues of these patients need to be addressed and reinforced to the existing health system on a priority basis.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">33397873</PMID>
<DateCompleted><Year>2021</Year>
<Month>01</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2021</Year>
<Month>01</Month>
<Day>06</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Electronic">2408-8757</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>30</Volume>
<Issue>1</Issue>
<PubDate><Year>2021</Year>
<Month>Jan</Month>
</PubDate>
</JournalIssue>
<Title>Mymensingh medical journal : MMJ</Title>
<ISOAbbreviation>Mymensingh Med J</ISOAbbreviation>
</Journal>
<ArticleTitle>Mental Health of the COVID-19 Patients in Bangladesh.</ArticleTitle>
<Pagination><MedlinePgn>189-195</MedlinePgn>
</Pagination>
<Abstract><AbstractText>The mental health aspect of coronavirus disease-19 (COVID-19) patients in Bangladesh has remained less focused and has not been addressed properly. The objective of the study was to assess the levels of anxiety and depression in COVID-19 patients. We adopted a mixed online and telephone-based survey using Google Forms. Recruitment was performed through a snowball sampling approach. The Google Form was initially circulated in Facebook to identify interested participants. Then, three trained physicians interviewed the online responders over telephone for a period spanning from April 2020 to June 2020. Two well-known questionnaires, the Generalized Anxiety Disorder 7-item (GAD-7) scale and the Patient Health Questionnaire (PHQ-9), were used for the assessment of anxiety and depression, respectively. Here, the severity of anxiety was classified with the standard thresholds: minimal or none (0-4), mild (5-9), moderate (10-14) and severe (>15) for the GAD-7. Depression severity score: 0-4 was considered as none or no depression, 5-9: mild, 10-14: moderate, 15-19: moderately severe, 20-27 was for severe depression. A total of 237 patients were finally analyzed. The mean age ±SD of the patients was 41.59±13.73 years. Most of them were male (73%) and lived in urban areas (90.29%). Half of the patients were unemployed, and 17.7% admitted loss of job due to lockdown. The overall prevalence of anxiety and depression was 55.7% and 87.3%, respectively. The mean GAD-7 score was 5.79±4.95, and the mean PHQ-9 score was 5.64±5.15. Among the depressive patients, 3% had minimal depression, 38.4% had mild depression, 32.1% had moderate depression, 11.8% had moderate depression, and 2.1% had a severe depression. Similarly, 37.1%, 10.5% and 8% had mild, moderate and severe levels of anxiety, respectively. Nearly half of the study population (47.7%) was suffering from both depression and anxiety. Living in urban area was an independent predictor for depression (OR 3.882; CI: 1.249-12.069). Considering the high comorbid burden, the mental health issues of these patients need to be addressed and reinforced to the existing health system on a priority basis.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hasan</LastName>
<ForeName>M J</ForeName>
<Initials>MJ</Initials>
<AffiliationInfo><Affiliation>Dr Mohammad Jahid Hasan, Executive Director, Pi Research Consultancy Center, Dhaka, Bangladesh; E-mail: dr.jahid61@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tabssum</LastName>
<ForeName>T</ForeName>
<Initials>T</Initials>
</Author>
<Author ValidYN="Y"><LastName>Ambia</LastName>
<ForeName>N E</ForeName>
<Initials>NE</Initials>
</Author>
<Author ValidYN="Y"><LastName>Zaman</LastName>
<ForeName>M S</ForeName>
<Initials>MS</Initials>
</Author>
<Author ValidYN="Y"><LastName>Rahman</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Author>
<Author ValidYN="Y"><LastName>Khan</LastName>
<ForeName>A S</ForeName>
<Initials>AS</Initials>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo><Country>Bangladesh</Country>
<MedlineTA>Mymensingh Med J</MedlineTA>
<NlmUniqueID>9601799</NlmUniqueID>
<ISSNLinking>1022-4742</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001459" MajorTopicYN="N" Type="Geographic">Bangladesh</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="Y">COVID-19</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003140" MajorTopicYN="N">Communicable Disease Control</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003863" MajorTopicYN="N">Depression</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008603" MajorTopicYN="Y">Mental Health</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2021</Year>
<Month>1</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>16</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2021</Year>
<Month>1</Month>
<Day>6</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2021</Year>
<Month>1</Month>
<Day>7</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">33397873</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/LockdownV1/Data/Main/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000437 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd -nk 000437 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= LockdownV1 |flux= Main |étape= Corpus |type= RBID |clé= pubmed:33397873 |texte= Mental Health of the COVID-19 Patients in Bangladesh. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/RBID.i -Sk "pubmed:33397873" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd \ | NlmPubMed2Wicri -a LockdownV1
![]() | This area was generated with Dilib version V0.6.38. | ![]() |