Instituto de Humanidades, Artes e Ciências, Universidade Federal da Bahia (UFBA), Salvador, BA, Brazil.
Instituto de Saúde Coletiva, UFBA, Salvador, BA, Brazil.
Braz J Psychiatry. 2017 Aug 30;40(2):115-122. doi: 10.1590/1516-4446-2016-2139. Print 2018 Apr-June.
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).
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.
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.
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.
使用既定的截断点分析使用自我报告问卷(SRQ-20)评估的常见精神障碍(CMD)的流行率,并将其与联合对应因子分析(CFA)和聚类分析以及潜在类别分析(LCA)的结果进行比较。
在一个 1095 名年龄在 19 至 55 岁的城市女性样本中进行了横断面研究。采用联合 CFA-聚类分析和 LCA 进行分析。
无论使用何种分类方法(使用截断点时为 37.6%;LCA 和联合 CFA-聚类分析分别为 44.4%和 52%),我们都发现 CMD 的患病率很高。与传统的截断方法相比,替代分析策略在描述病例时效率更高,尤其是在更严重的症状方面。这两种替代策略还可以描述 SRQ-20 维度的特殊性,这对于在特定人群中规划和实施特定行动可能很有用。
SRQ-20 截断点似乎低估了女性 CMD 的严重程度。本文介绍的替代分析方法强调了使用这种重要心理健康筛查工具的不同可能性。