Latent Class Analysis in Depression, Including Clinical and Functional Variables: Evidence of a Complex Depressive Subtype in Primary Care in Chile
Autor: | Verónica Vitriol, Alfredo Cancino, Carlos Serrano, Soledad Ballesteros, Marcela Ormazábal, Marcelo Leiva-Bianchi, Carolina Salgado, Cristian Cáceres, Soledad Potthoff, Francisca Orellana, Andrea Asenjo |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Depression Research and Treatment, Vol 2021 (2021) |
Druh dokumentu: | article |
ISSN: | 2090-1321 2090-133X 75399148 |
DOI: | 10.1155/2021/6629403 |
Popis: | Objective. To establish differentiated depressive subtypes using a latent class analysis (LCA), including clinical and functional indicators in a sample of depressed patients consulted in Chilean Primary Health Care. Methods. A LCA was performed on a sample of 297 depressed patients consulted in Chilean PHC. The Mini International Neuropsychiatric Interview, the Hamilton Depression Rating Scale, the Outcome Questionnaire -social role, and interpersonal subscales were as instruments. A regression analysis of the different subtypes with sociodemographic and adverse life experiences was performed. Results. In a sample characterized by 87.5% of women, two, three, and four latent class models were obtained. The three-class model likely represents the best clinical implications. In this model, the classes were labeled: “complex depression” (CD) (58% of the sample), “recurrent depression” (RD) (34%), and “single depression episode” (SD) (8%). Members of CD showed a higher probability of history of suicide attempts, interpersonal, and social dysfunction. Psychiatric comorbidities differentiated the RD from SD. According to a multinomial regression model, childhood trauma experiences, recent stressful life experiences, and intimate partner violence events were associated with the CD class (p |
Databáze: | Directory of Open Access Journals |
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