A cross-sectional epidemiological household survey of 1,656 elderly individuals in Florianópolis, Brazil, conducted by the EpiFloripa Idoso project. The study analyzes the prevalence and factors associated with depressive symptoms using the Geriatric Depression Scale (GDS-15) and Poisson regression. It was authored by Lucélia Justino Borges of the Universidade Federal de Santa Catarina.
Use Cases
- Modeling risk factors for depressive symptoms based on sociodemographic variables like education level and economic situation.
- Identifying protective factors against depression based on behavioral variables like leisure physical activity and social participation.
- Analyzing associations between clinical conditions (cognitive deficit, chronic pain, functional dependence) and depressive outcomes.
Strengths
- Study includes 1,656 elderly participants, providing a substantial sample size.
- Prevalence of depressive symptoms is precisely quantified at 23.9% with a 95% confidence interval.
- Analysis includes a wide range of associated factors: sociodemographic, health, behavioral, and social variables.
Limitations
- Row count for the underlying dataset is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Universidade Federal de Santa Catarina
- Collection Method
- Two-stage cluster sampling of census tracts and households.
- Geography
- Florianópolis, Santa Catarina, Brazil