Universidade do Vale do Rio dos Sinos. Programa de Saúde Coletiva. São Leopoldo, RS, Brasil.
Universidade do Vale do Rio dos Sinos. Departamento de Saúde Coletiva. São Leopoldo, RS, Brasil.
Rev Saude Publica. 2021 Nov 8;55:77. doi: 10.11606/s1518-8787.2021055003124. eCollection 2021.
to identify factors associated with common mental disorders (CMD) in a sample of adult women in Southern Brazil.
This population-based study, composed of 1,128 women, investigated socioeconomic, behavioral and health/disease explanatory demographic variables. Five response groups were explored: one group with common mental disorders - cut-off point 6/7 in the Self-Reporting Questionnaire 20 (SRQ-20) - and four others corresponding to the different clusters found using the latent class clustering technique, also from the SRQ-20. These four clusters (low, medium-depressive, medium-digestive and high) were named (denominated) based on the mean scores in the SRQ-20 in each group and on the response patterns of the variables and factorial characteristics. The "low" cluster comprised women with lower SRQ-20 scores and, therefore less likely to present CMD. The "high" cluster, with high mean values in the SRQ-20, was related to higher psychiatric morbidity. We used the Poisson regression technique to compare the findings of the different groups.
We identified ten variables as factors associated with CMD. Age, education, smoking, physical activity, perception of health and number of medical appointments were the common variables for the cut-off point and cluster-based analyses. Heavy alcohol use was associated only when the sample was evaluated as a cut-off point. Social class, work situation and existence of chronic diseases were associated only when the sample was analyzed by clusters. There was a significant association in the "high" cluster with lower classes (D or E), smoking, physical inactivity, existence of chronic diseases and negative perception of health.
We identified different associated factors according to the response groups considered. New approaches allowing identification of subgroups of individuals with specific characteristics and associated factors may contribute for a more accurate understanding of CMD and provide the basis for health interventions.
在巴西南部的成年女性样本中确定常见精神障碍（CMD）的相关因素。
这项基于人群的研究由 1128 名女性组成，调查了社会经济、行为和健康/疾病解释性人口统计学变量。研究探索了五个反应组：一组有常见精神障碍 - 自我报告问卷 20（SRQ-20）的 6/7 分切点 - 以及另外四个对应于使用潜在类别聚类技术从 SRQ-20 中发现的不同聚类。这四个聚类（低、中抑郁、中消化和高）根据 SRQ-20 中每个组的平均分数以及变量和因子特征的反应模式进行命名（命名）。“低”聚类包括 SRQ-20 得分较低的女性，因此不太可能出现 CMD。“高”聚类，SRQ-20 的平均值较高，与较高的精神发病率有关。我们使用泊松回归技术比较了不同组的发现。
我们确定了十个与 CMD 相关的变量。年龄、教育、吸烟、身体活动、健康感知和医疗预约次数是截点和聚类分析的共同变量。只有在评估样本为截点时，大量饮酒才与 CMD 相关。社会阶层、工作状况和慢性疾病的存在仅在通过聚类分析样本时才有相关性。“高”聚类与较低的社会阶层（D 或 E）、吸烟、身体活动不足、慢性疾病的存在和对健康的负面感知有显著关联。
我们根据考虑的反应组确定了不同的相关因素。允许识别具有特定特征和相关因素的个体亚组的新方法可能有助于更准确地理解 CMD，并为健康干预提供基础。
