ArticlePloS one2015
Social Mobility and Mental Disorders at 30 Years of Age in Participants of the 1982 Cohort, Pelotas, Rio Grande Do Sul - RS.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Intergenerational educational mobility and mental health: Evidence from a Filipino birth cohort.PLOS global public health · 2025Article
- Common mental disorders in Brazilian female shift workers: prevalence and associated factors.Archives of women's mental health · 2023Article
- Subjective social status is associated with happiness but not weight status or psychological distress: An analysis of three prospective birth cohorts from low- and middle-income countries.Wellbeing, space and society · 2022Article
- Socioeconomic position over the life-course and subjective social status in relation to nutritional status and mental health among Guatemalan adults.SSM - population health · 2021Article
- Impact of parental socioeconomic status on offspring's mental health: protocol for a longitudinal community-based study.BMJ open · 2021Article
- Baseline income, follow-up income, income mobility and their roles in mental disorders: a longitudinal intra-generational community-based study.BMC psychiatry · 2020Article
- The Association of Levels of and Decline in Grip Strength in Old Age with Trajectories of Life Course Occupational Position.PloS one · 2016Article
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Authors and funding
7 authors.
Funding
Abstract
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.
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