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Depression Screening in a population-based study: Brazilian National Health Survey 2019.

Ana Paula Souto MeloCecília Silva Costa BonadimanFabiana Martins Dias de AndradePedro Cisalpino PinheiroDéborah Carvalho Malta
Published in: Ciencia & saude coletiva (2022)
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.
Keyphrases
  • depressive symptoms
  • mental health
  • risk factors
  • sleep quality
  • healthcare
  • quality improvement
  • cross sectional
  • machine learning
  • social support
  • public health
  • health information
  • big data