Camila de Assis Faria from Universidade do Estado do Rio de Janeiro analyzed data from the FIBRA-RJ Study, Phase 1, covering 737 clients of a private health care provider aged 65 and over in Rio de Janeiro, Brazil, between January 2009 and January 2010. The dataset includes socioeconomic, demographic, medical, and functional capacity data, with cognitive performance assessed via the Mini-Mental State Examination (MMSE) and frailty defined by five physical criteria. The study used multivariate logistic regression to investigate the association between frailty and cognitive performance, finding a significant link, especially for individuals aged 75 and older.
Use Cases
- Train models to predict cognitive performance based on frailty indicators and demographic variables.
- Analyze the modifying effect of age on the relationship between frailty and cognitive status.
- Investigate associations between socioeconomic factors, medical conditions, and functional capacity in an older adult population.
Strengths
- Data from 737 individuals provides a substantive sample for analysis.
- Includes multiple assessment dimensions: cognitive (MMSE), physical frailty (5 criteria), medical conditions, and socioeconomic variables.
- Study design employed multivariate logistic regression with adjustments, suggesting a structured analytical approach.
Limitations
- Row count and column-level documentation are unknown, limiting suitability assessment.
- Data is from a specific private health plan clientele in Rio de Janeiro, which may limit generalizability.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Camila de Assis Faria, Universidade do Estado do Rio de Janeiro, via paperswithcode.
- Collection Method
- Data from Phase 1 of the FIBRA-RJ Study, collected via assessments and questionnaires from health plan clients.
- Time Range
- January 2009 to January 2010
- Geography
- Rio de Janeiro, Southeastern Brazil