Modeling the Determinants of Subjective Well-Being in Schizophrenia.

ABSTRACT:

Background

The ultimate goal of successful schizophrenia treatment is not just to alleviate psychotic symptoms, but also to reduce distress and achieve subjective well-being (SWB). We aimed to identify the determinants of SWB and their interrelationships in schizophrenia.

Methods

Data were obtained from 637 patients with schizophrenia enrolled in multicenter, open-label, non-comparative clinical trials. The SWB under the Neuroleptic Treatment Scale (SWN) was utilized; a cut-off score of 80 indicated a high level of SWB at baseline and 6 months. Various machine learning (ML) algorithms were employed to identify the determinants of SWB. Furthermore, network analysis and structural equation modeling (SEM) were conducted to explore detailed relationship patterns.

Results

SUBMITTER: Jeong JH 

PROVIDER: S-EPMC12236327 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature