Longitudinal Frailty Transitions and Dementia Risk in Two Cohorts

Two prospective cohorts with 8,353 participants were analyzed for associations between frailty transitions and dementia risk. The study assessed frailty status using a Frailty Index (FI) categorized as robust, pre-frail, or frail, and measured dementia via self-reported physician diagnosis. Cox proportional hazards models calculated hazard ratios for dementia risk based on transitions between these frailty states.

Use Cases

• Analyze the association between transitions in Frailty Index (FI) status and self-reported dementia diagnosis using Cox proportional hazards models.
• Model the progression from robust to pre-frail or frail states as a predictor for increased dementia risk.
• Investigate the impact of recovery from pre-frail or frail status on dementia hazard ratios.
• Validate the robustness of findings using sensitivity analyses on the 8,353 participant cohort.

Strengths

• Analysis includes a substantial cohort of 8,353 participants from two longitudinal studies.
• Frailty status is assessed using a defined Frailty Index (FI) with three standardized categories.
• Statistical analysis employs Cox proportional hazards models to calculate hazard ratios and confidence intervals.

Limitations

• Dementia outcome is based on self-reported physician diagnosis, which may introduce recall or reporting bias.
• The dataset is provided as a DOCX document, not a structured tabular format, limiting direct computational analysis.
• Specific participant demographics, geographic scope, and detailed longitudinal time points are not provided.

Provenance

Source

figshare

Collection Method

Data from two prospective longitudinal cohort studies.

Time Range

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Freshness

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Geography

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