Latent class analysis of manic and depressive symptoms in a population-based sample in São Paulo, Brazil
Abstract Background Current diagnostic criteria cannot capture the full range of bipolar spectrum. This study aims to clarify the natural co-segregation of manic–depressive symptoms occurring in the general population. Methods Using data from the Sao Paulo Catchment Area Study, latent class analysis...
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description | Abstract Background Current diagnostic criteria cannot capture the full range of bipolar spectrum. This study aims to clarify the natural co-segregation of manic–depressive symptoms occurring in the general population. Methods Using data from the Sao Paulo Catchment Area Study, latent class analysis (LCA) was applied to eleven manic and fourteen depressive symptoms assessed through CIDI 1.1 in 1464 subjects from a community-based study in Sao Paulo, Brazil. All manic symptoms were assessed, regardless of presence of euphoria or irritability, and demographics, services used, suicidality and CIDI/DSM-IIIR mood disorders used to external validate the classes. Results The four obtained classes were labeled Euthymics (EU; 49.1%), Mild Affectives (MA; 31.1%), Bipolars (BIP; 10.7%), and Depressives (DEP; 9%). BIP and DEP classes represented bipolar and depressive spectra, respectively. Compared to DEP class, BIP exhibited more atypical depressive characteristics (hypersomnia and increase in appetite and/or weight gain), risk of suicide, and use of services. Depressives had rates of atypical symptoms and suicidality comparable to oligosymptomatic MA class subjects. Limitations The use of lay interviewers and DSM-IIIR diagnostic criteria, which are more restrictive than the currently used DSM-IV TR. Conclusions Findings of high prevalence of bipolar spectrum and of atypical symptoms and suicidality as indicators of bipolarity are of great clinical importance, due to different treatment needs, and higher severity. Lifetime sub-affective and syndromic manic symptoms are clinically significant, arguing for the need of revising DSM bipolar spectrum categories. |
doi_str_mv | 10.1016/j.jad.2009.09.023 |
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This study aims to clarify the natural co-segregation of manic–depressive symptoms occurring in the general population. Methods Using data from the Sao Paulo Catchment Area Study, latent class analysis (LCA) was applied to eleven manic and fourteen depressive symptoms assessed through CIDI 1.1 in 1464 subjects from a community-based study in Sao Paulo, Brazil. All manic symptoms were assessed, regardless of presence of euphoria or irritability, and demographics, services used, suicidality and CIDI/DSM-IIIR mood disorders used to external validate the classes. Results The four obtained classes were labeled Euthymics (EU; 49.1%), Mild Affectives (MA; 31.1%), Bipolars (BIP; 10.7%), and Depressives (DEP; 9%). BIP and DEP classes represented bipolar and depressive spectra, respectively. Compared to DEP class, BIP exhibited more atypical depressive characteristics (hypersomnia and increase in appetite and/or weight gain), risk of suicide, and use of services. Depressives had rates of atypical symptoms and suicidality comparable to oligosymptomatic MA class subjects. Limitations The use of lay interviewers and DSM-IIIR diagnostic criteria, which are more restrictive than the currently used DSM-IV TR. Conclusions Findings of high prevalence of bipolar spectrum and of atypical symptoms and suicidality as indicators of bipolarity are of great clinical importance, due to different treatment needs, and higher severity. Lifetime sub-affective and syndromic manic symptoms are clinically significant, arguing for the need of revising DSM bipolar spectrum categories.</description><identifier>ISSN: 0165-0327</identifier><identifier>EISSN: 1573-2517</identifier><identifier>DOI: 10.1016/j.jad.2009.09.023</identifier><identifier>PMID: 19896205</identifier><identifier>CODEN: JADID7</identifier><language>eng</language><publisher>Oxford: Elsevier B.V</publisher><subject>Adolescent ; Adult ; Adult and adolescent clinical studies ; Aged ; Atypical symptoms ; Biological and medical sciences ; Bipolar affective disorder ; Bipolar Disorder - classification ; Bipolar Disorder - diagnosis ; Bipolar Disorder - epidemiology ; Bipolar Disorder - psychology ; Bipolar spectrum ; Brazil ; Catchment Area (Health) ; Cross-Sectional Studies ; Depression ; Depressive Disorder - classification ; Depressive Disorder - diagnosis ; Depressive Disorder - epidemiology ; Depressive Disorder - psychology ; Developing Countries ; Female ; Humans ; Latent class analysis ; Male ; Mania ; Medical sciences ; Middle Aged ; Models, Statistical ; Mood disorders ; Population-based study ; Psychiatry ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Risk of suicide ; Suicidal behaviour ; Suicide ; Symptoms ; Urban Population - statistics & numerical data ; Use of services ; Young Adult</subject><ispartof>Journal of affective disorders, 2010-06, Vol.123 (1), p.208-215</ispartof><rights>Elsevier B.V.</rights><rights>2009 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright 2009 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-e4549f7d16f3897f75304cd031ebeb2253fcdf61d776d332a2a658f24fb2e88b3</citedby><cites>FETCH-LOGICAL-c469t-e4549f7d16f3897f75304cd031ebeb2253fcdf61d776d332a2a658f24fb2e88b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jad.2009.09.023$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27926,27927,31002,45997</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22701234$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19896205$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moreno, Doris Hupfeld</creatorcontrib><creatorcontrib>Andrade, Laura Helena</creatorcontrib><title>Latent class analysis of manic and depressive symptoms in a population-based sample in São Paulo, Brazil</title><title>Journal of affective disorders</title><addtitle>J Affect Disord</addtitle><description>Abstract Background Current diagnostic criteria cannot capture the full range of bipolar spectrum. This study aims to clarify the natural co-segregation of manic–depressive symptoms occurring in the general population. Methods Using data from the Sao Paulo Catchment Area Study, latent class analysis (LCA) was applied to eleven manic and fourteen depressive symptoms assessed through CIDI 1.1 in 1464 subjects from a community-based study in Sao Paulo, Brazil. All manic symptoms were assessed, regardless of presence of euphoria or irritability, and demographics, services used, suicidality and CIDI/DSM-IIIR mood disorders used to external validate the classes. Results The four obtained classes were labeled Euthymics (EU; 49.1%), Mild Affectives (MA; 31.1%), Bipolars (BIP; 10.7%), and Depressives (DEP; 9%). BIP and DEP classes represented bipolar and depressive spectra, respectively. Compared to DEP class, BIP exhibited more atypical depressive characteristics (hypersomnia and increase in appetite and/or weight gain), risk of suicide, and use of services. Depressives had rates of atypical symptoms and suicidality comparable to oligosymptomatic MA class subjects. Limitations The use of lay interviewers and DSM-IIIR diagnostic criteria, which are more restrictive than the currently used DSM-IV TR. Conclusions Findings of high prevalence of bipolar spectrum and of atypical symptoms and suicidality as indicators of bipolarity are of great clinical importance, due to different treatment needs, and higher severity. Lifetime sub-affective and syndromic manic symptoms are clinically significant, arguing for the need of revising DSM bipolar spectrum categories.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adult and adolescent clinical studies</subject><subject>Aged</subject><subject>Atypical symptoms</subject><subject>Biological and medical sciences</subject><subject>Bipolar affective disorder</subject><subject>Bipolar Disorder - classification</subject><subject>Bipolar Disorder - diagnosis</subject><subject>Bipolar Disorder - epidemiology</subject><subject>Bipolar Disorder - psychology</subject><subject>Bipolar spectrum</subject><subject>Brazil</subject><subject>Catchment Area (Health)</subject><subject>Cross-Sectional Studies</subject><subject>Depression</subject><subject>Depressive Disorder - classification</subject><subject>Depressive Disorder - diagnosis</subject><subject>Depressive Disorder - epidemiology</subject><subject>Depressive Disorder - psychology</subject><subject>Developing Countries</subject><subject>Female</subject><subject>Humans</subject><subject>Latent class analysis</subject><subject>Male</subject><subject>Mania</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Mood disorders</subject><subject>Population-based study</subject><subject>Psychiatry</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Risk of suicide</subject><subject>Suicidal behaviour</subject><subject>Suicide</subject><subject>Symptoms</subject><subject>Urban Population - statistics & numerical data</subject><subject>Use of services</subject><subject>Young Adult</subject><issn>0165-0327</issn><issn>1573-2517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkt2K1TAQx4Mo7nH1AbyR3Ig39piPtmkRFnTxCw4orF6HNJlAatrUTLtwfB0fxRez5RwUvFAYCCS__xDmN4Q85mzPGa9f9PveuL1grN1vJeQdsuOVkoWouLpLditTFUwKdUEeIPaMsbpV7D654G3T1oJVOxIOZoZxpjYaRGpGE48YkCZPBzMGu9446mDKgBhugeJxmOY0IA0jNXRK0xLNHNJYdAbBUTTDFGF7vPn5I9FPZonpOX2dzfcQH5J73kSER-fzknx5--bz9fvi8PHdh-tXh8KWdTsXUFZl65XjtZdNq7yqJCutY5JDB50QlfTW-Zo7pWonpTDC1FXjRek7AU3TyUvy7NR3yunbAjjrIaCFGM0IaUGtSqGE4Jz9n5QlY03b1CvJT6TNCTGD11MOg8lHzZneVOheryr0pkJvJeSaeXLuvnQDuD-J8-xX4OkZMGhN9NmMNuBvTgjFuJDlyr08cbBO7TZA1mgDjBZcyGBn7VL45zeu_krbGFazJn6FI2CflrxKR801Cs30zbYz28qwlrGy5I38BaFBu30</recordid><startdate>20100601</startdate><enddate>20100601</enddate><creator>Moreno, Doris Hupfeld</creator><creator>Andrade, Laura Helena</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QJ</scope></search><sort><creationdate>20100601</creationdate><title>Latent class analysis of manic and depressive symptoms in a population-based sample in São Paulo, Brazil</title><author>Moreno, Doris Hupfeld ; Andrade, Laura Helena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-e4549f7d16f3897f75304cd031ebeb2253fcdf61d776d332a2a658f24fb2e88b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adult and adolescent clinical studies</topic><topic>Aged</topic><topic>Atypical symptoms</topic><topic>Biological and medical sciences</topic><topic>Bipolar affective disorder</topic><topic>Bipolar Disorder - classification</topic><topic>Bipolar Disorder - diagnosis</topic><topic>Bipolar Disorder - epidemiology</topic><topic>Bipolar Disorder - psychology</topic><topic>Bipolar spectrum</topic><topic>Brazil</topic><topic>Catchment Area (Health)</topic><topic>Cross-Sectional Studies</topic><topic>Depression</topic><topic>Depressive Disorder - classification</topic><topic>Depressive Disorder - diagnosis</topic><topic>Depressive Disorder - epidemiology</topic><topic>Depressive Disorder - psychology</topic><topic>Developing Countries</topic><topic>Female</topic><topic>Humans</topic><topic>Latent class analysis</topic><topic>Male</topic><topic>Mania</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Mood disorders</topic><topic>Population-based study</topic><topic>Psychiatry</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Risk of suicide</topic><topic>Suicidal behaviour</topic><topic>Suicide</topic><topic>Symptoms</topic><topic>Urban Population - statistics & numerical data</topic><topic>Use of services</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moreno, Doris Hupfeld</creatorcontrib><creatorcontrib>Andrade, Laura Helena</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><jtitle>Journal of affective disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moreno, Doris Hupfeld</au><au>Andrade, Laura Helena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Latent class analysis of manic and depressive symptoms in a population-based sample in São Paulo, Brazil</atitle><jtitle>Journal of affective disorders</jtitle><addtitle>J Affect Disord</addtitle><date>2010-06-01</date><risdate>2010</risdate><volume>123</volume><issue>1</issue><spage>208</spage><epage>215</epage><pages>208-215</pages><issn>0165-0327</issn><eissn>1573-2517</eissn><coden>JADID7</coden><abstract>Abstract Background Current diagnostic criteria cannot capture the full range of bipolar spectrum. This study aims to clarify the natural co-segregation of manic–depressive symptoms occurring in the general population. Methods Using data from the Sao Paulo Catchment Area Study, latent class analysis (LCA) was applied to eleven manic and fourteen depressive symptoms assessed through CIDI 1.1 in 1464 subjects from a community-based study in Sao Paulo, Brazil. All manic symptoms were assessed, regardless of presence of euphoria or irritability, and demographics, services used, suicidality and CIDI/DSM-IIIR mood disorders used to external validate the classes. Results The four obtained classes were labeled Euthymics (EU; 49.1%), Mild Affectives (MA; 31.1%), Bipolars (BIP; 10.7%), and Depressives (DEP; 9%). BIP and DEP classes represented bipolar and depressive spectra, respectively. Compared to DEP class, BIP exhibited more atypical depressive characteristics (hypersomnia and increase in appetite and/or weight gain), risk of suicide, and use of services. Depressives had rates of atypical symptoms and suicidality comparable to oligosymptomatic MA class subjects. Limitations The use of lay interviewers and DSM-IIIR diagnostic criteria, which are more restrictive than the currently used DSM-IV TR. Conclusions Findings of high prevalence of bipolar spectrum and of atypical symptoms and suicidality as indicators of bipolarity are of great clinical importance, due to different treatment needs, and higher severity. Lifetime sub-affective and syndromic manic symptoms are clinically significant, arguing for the need of revising DSM bipolar spectrum categories.</abstract><cop>Oxford</cop><pub>Elsevier B.V</pub><pmid>19896205</pmid><doi>10.1016/j.jad.2009.09.023</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescent Adult Adult and adolescent clinical studies Aged Atypical symptoms Biological and medical sciences Bipolar affective disorder Bipolar Disorder - classification Bipolar Disorder - diagnosis Bipolar Disorder - epidemiology Bipolar Disorder - psychology Bipolar spectrum Brazil Catchment Area (Health) Cross-Sectional Studies Depression Depressive Disorder - classification Depressive Disorder - diagnosis Depressive Disorder - epidemiology Depressive Disorder - psychology Developing Countries Female Humans Latent class analysis Male Mania Medical sciences Middle Aged Models, Statistical Mood disorders Population-based study Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Risk of suicide Suicidal behaviour Suicide Symptoms Urban Population - statistics & numerical data Use of services Young Adult |
title | Latent class analysis of manic and depressive symptoms in a population-based sample in São Paulo, Brazil |
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