AI Article Synopsis
- The study analyzed the prevalence of common mental disorders (CMD) among urban women using the Self Reporting Questionnaire (SRQ-20) and compared results from different analytical methods.
- A total of 1,095 women aged 19 to 55 participated, and findings showed high CMD prevalence rates using various methods: 37.6% with the SRQ-20 cutoff, 44.4% with latent class analysis (LCA), and 52% with joint cluster analysis.
- The study concluded that the SRQ-20 cutoff may underestimate CMD prevalence, and alternative analytical strategies provide better insights into mental health issues and can inform targeted interventions.
Article Abstract
Objective: To analyze the prevalence of common mental disorders (CMD) assessed with the Self Reporting Questionnaire (SRQ-20), using the established cutoff point, and comparing it with the results of a joint correspondence factor analysis (CFA) and cluster analysis and of a latent class analysis (LCA).
Methods: A cross-sectional study was carried out in an urban sample of 1,095 women aged 19 to 55 years. Joint CFA-cluster analysis and LCA were used.
Results: We found a high prevalence of CMD, regardless of classification method (37.6% when using the cutoff point; 44.4% and 52% for LCA and joint CFA-cluster, respectively). The alternative analysis strategies describe the cases more efficiently when compared to the traditional cutoff method, especially regarding more severe symptoms. Both alternative strategies also provide a description of the SRQ-20 dimensions in their particularities, which may be useful for the planning and implementation of specific actions in a given population.
Conclusion: The SRQ-20 cutoff point seems to underestimate the magnitude of CMD among women. The alternative methods of analysis presented herein highlight the different possibilities of using this important instrument of screening for mental health.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900763 | PMC |
| http://dx.doi.org/10.1590/1516-4446-2016-2139 | DOI Listing |
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