RESUMO
This study evaluated the prevalence of positive screening for depression in Brazil and its associated factors. We used data from National Health Survey 2019 (Pesquisa Nacional de Saúde - PNS), a population-based survey with 88,531 adults. The Patient Health Questionnaire (PHQ-9) was used with two scoring methods, the algorithm and the cutoff point≥10. The variables included sociodemographic characteristics. The prevalence ratios and 95% confidence intervals (95%CI) were estimated using Poisson regression. The positive screening for depression was 10.8% (95%CI: 10.4-11.0), at the cutoff point ≥10 and 5.7% (95%CI: 5.4-6.0) for algorithm. Significant differences were found in prevalence in some Brazilian states. Multivariable analyses showed that being female, black, under 70 years of age, having little education, being single, and living in an urban area were independently associated with a depressive symptoms. The highest association was found in the states of Sergipe, Goiás, Piauí, Espírito Santo, São Paulo, Alagoas and lowest in Pará, Mato Grosso and Maranhão. The prevalence of positive screening for depression in Brazil has increased in recent years. More investment in mental health resources is necessary and surveys such as the PNS should be continued.
Assuntos
Depressão , Adulto , Humanos , Feminino , Masculino , Brasil/epidemiologia , Depressão/diagnóstico , Depressão/epidemiologia , Inquéritos Epidemiológicos , Inquéritos e Questionários , Escolaridade , PrevalênciaRESUMO
Abstract This study evaluated the prevalence of positive screening for depression in Brazil and its associated factors. We used data from National Health Survey 2019 (Pesquisa Nacional de Saúde - PNS), a population-based survey with 88,531 adults. The Patient Health Questionnaire (PHQ-9) was used with two scoring methods, the algorithm and the cutoff point≥10. The variables included sociodemographic characteristics. The prevalence ratios and 95% confidence intervals (95%CI) were estimated using Poisson regression. The positive screening for depression was 10.8% (95%CI: 10.4-11.0), at the cutoff point ≥10 and 5.7% (95%CI: 5.4-6.0) for algorithm. Significant differences were found in prevalence in some Brazilian states. Multivariable analyses showed that being female, black, under 70 years of age, having little education, being single, and living in an urban area were independently associated with a depressive symptoms. The highest association was found in the states of Sergipe, Goiás, Piauí, Espírito Santo, São Paulo, Alagoas and lowest in Pará, Mato Grosso and Maranhão. The prevalence of positive screening for depression in Brazil has increased in recent years. More investment in mental health resources is necessary and surveys such as the PNS should be continued.
Resumo Este estudo avaliou a prevalência de triagem positiva para depressão no Brasil e seus fatores associados. Utilizou-se dados da Pesquisa Nacional de Saúde 2019 (PNS), um inquérito de base populacional com 88.531 adultos. Para avaliar os sintomas depressivos utilizou-se o Patient Health Questionnaire (PHQ-9) com dois métodos de pontuação: o algoritmo e o ponto de corte ≥10. As variáveis incluíram características sociodemográficas. Utilizou-se a regressão de Poisson para obter razões de prevalência, com intervalo de confiança de 95% (IC95%). A triagem positiva para depressão foi de 10,8% (IC95%: 10,4-11,0), no ponto de corte ≥10 e 5,7% (IC95%: 5,4-6,0) para o algoritmo. Houve diferenças significativas na prevalência entre alguns estados brasileiros. Análises multivariadas mostraram que ser do sexo feminino, negro, ter menos de 70 anos, ter baixa escolaridade, ser solteiro e residir em área urbana estiveram independentemente associados a sintomas depressivos. A maior associação foi encontrada nos estados de Sergipe, Goiás, Piauí, Espírito Santo, São Paulo, Alagoas e a menor no Pará, Mato Grosso e Maranhão. A prevalência de triagem positiva para depressão no Brasil tem aumentado nos últimos anos. É necessário mais investimento em saúde mental e pesquisas como a PNS devem ser feitas continuamente.