Association of Sarcopenia Index with Depressive Symptoms in Older Adults, 2016–2022

Health and Retirement Study data from 2016 to 2022 tracks 6,286 older adults initially free of depressive symptoms. The research by Xin Cai analyzes the longitudinal link between a baseline sarcopenia index and the incidence and progression of depressive symptoms over six years. It identifies four distinct symptom trajectories and reports hazard and odds ratios for the associations.

Use Cases

• Modeling incident depression risk based on a sarcopenia biomarker.
• Identifying membership in adverse depressive symptom trajectories using baseline health metrics.
• Conducting sensitivity analyses for longitudinal associations in aging cohorts.
• Validating group-based trajectory modeling (GBTM) for heterogeneous symptom patterns.

Strengths

• Longitudinal data spanning six years (2016–2022).
• Large cohort size of 6,286 participants for incident analysis.
• Clear statistical results reported, including hazard ratios and confidence intervals.
• Identifies four distinct depressive symptom trajectories with membership percentages.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary data is unknown, which may limit suitability assessment.
• The 58.4 KB file size suggests a very limited dataset, likely containing summary results rather than raw participant-level data.

Provenance

Source

Health and Retirement Study

Collection Method

Cohort study using Cox proportional hazards and multinomial logistic regression.

Time Range

2016–2022

Freshness

Last updated 2026-05-12 04:19:30; freshness should be verified.