Latent class analysis of manic and depressive symptoms in a population-based sample in São Paulo, Brazil

摘要: BACKGROUND: Current diagnostic criteria cannot capture the full range of bipolar spectrum. This study aims to clarify natural co-segregation manic-depressive symptoms occurring in general population. METHODS: Using data from Sao Paulo Catchment Area Study, latent class analysis (LCA) was applied eleven manic and fourteen depressive assessed through CIDI 1.1 1464 subjects a community-based Paulo, Brazil. All were assessed, regardless presence euphoria or irritability, demographics, services used, suicidality CIDI/DSM-IIIR mood disorders used external validate classes. RESULTS: The four obtained classes labeled Euthymics (EU; 49.1%), Mild Affectives (MA; 31.1%), Bipolars (BIP; 10.7%), Depressives (DEP; 9%). BIP DEP represented spectra, respectively. Compared class, exhibited more atypical characteristics (hypersomnia increase appetite and/or weight gain), risk suicide, use services. had rates comparable oligosymptomatic MA subjects. LIMITATIONS: lay interviewers DSM-IIIR criteria, which are restrictive than currently DSM-IV TR. CONCLUSIONS: Findings high prevalence spectrum as indicators bipolarity great clinical importance, due different treatment needs, higher severity. Lifetime sub-affective syndromic clinically significant, arguing for need revising DSM categories. Language: en