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Depression underdiagnosis: Prevalence and associated factors. A population-based study.
Alexandre Faisal-Cury1, Carolina Ziebold2, Daniel Maurício de Oliveira Rodrigues1
1Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, Brazil.
Depression underdiagnosis affects over 60% of Brazilians, particularly males, the elderly, and those with lower income or education. Targeted interventions addressing sociodemographic factors are crucial for improving mental health diagnosis.
Area of Science:
- Public Health
- Epidemiology
- Mental Health Research
Background:
- Depression is a prevalent condition with significant negative impacts, yet it is frequently underdiagnosed.
- Underdiagnosis of depression poses a substantial public health challenge, hindering timely and effective treatment.
Purpose of the Study:
- To estimate the prevalence of depression underdiagnosis in Brazil.
- To identify sociodemographic and health-related factors associated with depression underdiagnosis in a nationally representative sample.
Main Methods:
- Utilized data from 70,806 participants in the Brazilian National Survey (PNS 2019).
- Defined depression underdiagnosis using Patient Health Questionnaire-9 (PHQ-9) scores (>9) without a prior health provider diagnosis.
- Employed logistic regression to analyze associations and calculated population attributable risk fractions for key predictors.
Main Results:
- The prevalence of depression was 11.2%, with a depression underdiagnosis prevalence of 63.6%.
- Underdiagnosis was more common in males, the elderly, individuals with lower income and education, and those in the North/Central regions.
- Key factors contributing to underdiagnosis included lower income, education, fewer medical appointments, and specific demographic groups.
Conclusions:
- Depression underdiagnosis is a widespread issue in Brazil, affecting a majority of cases.
- Preventive strategies must address identified sociodemographic and health-related disparities to improve depression diagnosis rates.
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