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Social Mobility and Mental Disorders at 30 Years of Age in Participants of the 1982 Cohort Pelotas Rio Grande Do Sul – RS

机译:1982年在南里奥格兰德州佩洛塔斯市的1982年研究对象的参与者的社会流动性和精神障碍

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摘要

This study aimed to evaluate the relationship between mental disorders at 30 years of age and social mobility by formally testing three hypotheses: Risk Accumulation; Critical Period; and Social Mobility. The study was performed using data from the 30-year follow-up of the Pelotas Birth Cohort Study, conducted in 1982, and data from previous follow-ups. The tool used to evaluate mental health was the Self Report Questionnaire (SRQ-20). For the statistical analysis, the chi-square test with the Yates correction was used to estimate the prevalence of mental disorder, and the Poisson regression with robust variance was used to formally test the hypotheses according to the Risk Accumulation, Critical Period and Social Mobility Models. The analyses were stratified by gender. The prevalence of Common Mental Disorders (CMDs) was 24.3% (95% CI 22.9–25.7) when the whole sample was considered. The highest prevalence, 27.1% (95% CI 25.1–29.2), was found in women, and the difference between genders was significant (p < 0.001). CMDs were more frequent in participants who remained “poor” in the three follow-ups. In both men and women, the best fit was obtained with the Risk Accumulation Model, with p = 0.6348 and p = 0.2105, respectively. The results indicate the need to rethink public income maintenance policies. Finally, we suggest further studies to investigate the role of different public policies in decreasing the prevalence of mental disorders and thus contribute proposals of new policies that may contribute to the prevention of these disorders.
机译:本研究旨在通过正式检验以下三个假设来评估30岁以下的精神障碍与社会流动性之间的关系:风险累积;关键时期;和社会流动性。这项研究是根据1982年开展的Pelotas出生队列研究的30年随访数据和以前的随访数据进行的。用于评估心理健康的工具是“自我报告调查表”(SRQ-20)。为了进行统计分析,使用具有Yates校正的卡方检验来估计精神障碍的患病率,并使用具有强大方差的Poisson回归根据风险累积,关键时期和社会流动模型来正式检验假设。 。分析按性别分层。当考虑整个样本时,常见精神障碍(CMD)的患病率为24.3%(95%CI 22.9–25.7)。女性患病率最高,为27.1%(95%CI 25.1–29.2),性别差异显着(p <0.001)。参加者的CMD频率更高,在三个随访中仍然“差”。在男性和女性中,风险累积模型均获得最佳拟合,分别为p = 0.6348和p = 0.2105。结果表明有必要重新考虑公共收入维持政策。最后,我们建议进一步研究,以调查不同公共政策在降低精神障碍患病率中的作用,从而为可能有助于预防这些精神障碍的新政策提出建议。

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