Objectives: To identify the prevalence and factors associated with common mental disorders in adult women.Methods: Searches were carried out in the PubMed, Web of Science, Science Direct, Scopus, Cinahl, Google Scholar and Open Gray databases. The study protocol was registered with PROSPERO under number CRD42020168231. Cross-sectional studies showing the prevalence of common mental disorders in women over 18 years were included. Studies with men, children and pregnant women of another age group and with other mental disorders and other types of studies were excluded. The Joanna Briggs Institute checklist was used to assess the risk of bias.Results: Nineteen studies were included in this review. The prevalence of CMD ranged from 9.6% to 69.3%. The main associated factors were unemployment, indebtedness, low income, being a housewife, smoking, low education, poor self-rated health, being single, divorced or widowed. The risk of bias in the studies was classified as low and moderate.Conclusion: This review revealed a variable prevalence rate of CMD in adult women. Public policies are needed to create strategies to prevent the mental illness of these women.

We sought to identify the prevalence and factors associated with alcohol abuse among farmers living in a medium-sized municipality in northeastern Brazil during 2019 and 2020. Trained interviewers applied the standardized questionnaire to 450 participants. Sociodemographic, health, income and work characteristics were investigated. The tracking of alcohol misuse was done using the CAGE questionnaire (Cut down, Annoyed by criticism, Guilty and Eye-opener), being the cut-off point ≥ 2. Poisson Regression was applied with robust estimation to verify the reasons of prevalence (RP) in bivariate and multivariate analysis. The prevalence of alcohol abuse among farmers was 32% (95% CI 27.8–36.4). Factors such as being male, having a diagnosis of mental disorder in the family, being a smoker, and using drugs were associated with the higher prevalence of the outcome. Being 60 years old or older was associated with a lower prevalence of alcohol abuse. These results indicate the need for social support to this group of workers in the context of occupational health.

Purpose: To analyze how individual characteristics and the social context are associated with mental distress symptoms in the Brazilian population.Method: A multilevel cross-sectional study with data from the 2013 National Health Survey. There were two dependent variables: (a) decreased vital energy and somatic symptoms, (b) the presence of depressive thoughts. The independent variables were biological characteristics, education and income, habits and lifestyle, and context variables. Bivariate analysis was performed, and Prevalence Ratios calculated in a Poisson Regression (95% CI). A multilevel Poisson Regression was performed to verify the effect of individual and contextual variables.Results: Regarding depressive thoughts, young and middle-aged individuals, low education, women, absence of partner, smokers or former smokers, and absence of health insurance were the categories at highest risk; belonging to classes D-E and living in states with lower expected years of schooling proved to be protective factors. Similar results were found for the second outcome.Conclusions: Symptoms of mental distress were associated with the individual characteristics and contextual aspects of the federation unit. These findings indicate the importance of strengthening psychosocial care aimed at vulnerable groups.

OBJETIVO Identificar a prevalência e os fatores associados aos transtornos mentais comuns entre agricultores residentes em um município de médio porte no nordeste do Brasil, entre 2019 e 2020. MÉTODOS Entrevistadoras treinadas aplicaram o questionário padronizado em 450 participantes. Investigou-se características sociodemográficas, de saúde, renda e trabalho. O rastreamento dos transtornos mentais comuns foi realizado mediante a utilização do questionário SRQ-20 ( Self-Reporting Questionaire ), com o ponto de corte ≥ 7 para mulheres e ≥ 5 para homens. Foi aplicada a regressão de Poisson com estimação robusta para verificar as razões de prevalência na análise bivariada e multivariada. RESULTADOS A prevalência dos transtornos mentais comuns entre agricultores foi de 55,1% (IC95% 50,4–59,6). As variáveis que permaneceram significativas e associadas aos transtornos mentais comuns foram: ser do sexo masculino (RP = 1,7), ter mais de 60 anos (RP = 0,5), ter autoavaliação de saúde ruim ou muito ruim (RP = 1,4), ter realizado tratamento anterior para saúde mental (RP = 1,2), fazer uso abusivo do álcool (RP = 1,2) e ter tido perda de produção (RP = 1,3). CONCLUSÃO Esses resultados indicam que os transtornos mentais comuns estão associados a fatores individuais e do contexto de vida e trabalho dos agricultores, o que demonstra a importância do suporte social, econômico e dos serviços de saúde a esse grupo de trabalhadores.

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