Analysis of Social Class by LCA in Patients with Schizophrenia: Change in Psychopathology after 12 Month of Treatment

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dc.contributor.authorSaylan, Mete
dc.contributor.authorUcok, Alp
dc.contributor.authorUguz, Suekrue
dc.contributor.authorTreuer, Tamas
dc.contributor.authorSir, Aytekin
dc.date.accessioned2024-04-24T17:49:49Z
dc.date.available2024-04-24T17:49:49Z
dc.date.issued2009
dc.departmentDicle Üniversitesien_US
dc.description.abstractObjective: The social factors may contribute to the heterogeneous course of schizophrenia and relationship between these factors and the level of care received is complex. Social factors may influence access to treatment and outcome of the disease. Current diagnostic systems classify longitudinal course of schizophrenia based on symptom patterns. We aimed to identify latent social classes in Turkish patients with schizophrenia who participated to IC-SOHO observational study. Latent class analysis may allow a physician to understand various patient social groups (social casemix) in a very heterogeneous patient data flow seen in everyday practice. Method: 692 outpatients with schizophrenia (ICD-10 or DSM-IV), who were initiated or switched to antipsychotic treatment, were included in this 3-year, non-interventional, prospective, observational study. Information regarding social functioning items including housing (independent, dependent, supervised, or hospitalized), work status (employed paid/unpaid, unemployed able to work/unable to work, or retired), number of social activities in past 4 weeks, and relationship with spouse or partner, were collected by interviewing the patients and relatives. We performed a latent class analysis acording to patient's indicators of social functioning to identify social classes. We compared mean change of psychopathology among social classes for all patients and for patients treated with antipsychotic monotherapy for one year. Results: Data for baseline indicators used in the casemix analysis were available for 614 patients. We identified 5 classes of patients (inactives, 38.9%; in a relationship, 29.5%; no relationship unemployed dependents, 15.3%; no relationship employed dependents, 11.6%; no relationship retirees, 4.8%) that share similar characteristics, (likelihood ratio chi-square=107.1, df=347) with 4 aspects of social functioning items. There was no statistical difference among social classes in the improvement of positive, negative, and overall symptom severity at the end of one year naturalistic follow-up. CGI-S score decreases from baseline for positive symptoms were significantly higher with atypical antipsychotics when compared to typicals. Conclusion: The categorical modeling of social functioning may be a simple and valid tool for the further exploration ofthe classes in schizophrenia patients. Testing for long-term efficacy of different treatments in the putative groups may provide valuable insight for functional outcomes of patients with schizophrenia.en_US
dc.identifier.endpage38en_US
dc.identifier.issn1017-7833
dc.identifier.issue1en_US
dc.identifier.startpage29en_US
dc.identifier.urihttps://hdl.handle.net/11468/22985
dc.identifier.volume19en_US
dc.identifier.wosWOS:000264539000005
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.language.isoenen_US
dc.publisherKure Iletisim Grubu A Sen_US
dc.relation.ispartofKlinik Psikofarmakoloji Bulteni-Bulletin of Clinical Psychopharmacology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSchizophreniaen_US
dc.subjectSocial Classen_US
dc.subjectAntipsychoticen_US
dc.subjectLatent Class Analysisen_US
dc.titleAnalysis of Social Class by LCA in Patients with Schizophrenia: Change in Psychopathology after 12 Month of Treatmenten_US
dc.titleAnalysis of Social Class by LCA in Patients with Schizophrenia: Change in Psychopathology after 12 Month of Treatment
dc.typeArticleen_US

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