Hazard Ratios for All-Cause Mortality from a U.S. Health and Retirement Study Cohort

A prospective cohort of 5,953 U.S. adults aged 50 and older from the Health and Retirement Study (2006–2018). This dataset contains hazard ratios and 95% confidence intervals for all-cause mortality, used to analyze the relationship between life purpose and longevity while adjusting for baseline health measures. The data was authored by Richard Sias and published on figshare in 2026.

Use Cases

• Replicate mortality risk analyses based on hazard ratios and confidence intervals for life purpose.
• Assess the role of baseline health confounding or mediation in psychosocial-longevity studies based on the described model adjustments.
• Compare hazard ratios for different follow-up periods (e.g., years 5–8 vs. 9–12) based on the time-stratified results mentioned.
• Examine the sensitivity of mortality associations to health measurement error based on the study's methodological focus.

Strengths

• Data is derived from the well-established Health and Retirement Study, a nationally representative U.S. cohort.
• Includes specific hazard ratio values and 95% confidence intervals (e.g., 2.59, 1.77, 1.20) for different model specifications.
• Covers a 12-year follow-up period (2006–2018) for a cohort of 5,953 individuals.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (9.5 KB), indicating limited scope, likely containing summary statistics rather than individual-level records.

Provenance

Source

Health and Retirement Study (HRS)

Collection Method

Prospective cohort analysis; data likely contains aggregated statistical results (hazard ratios, CIs) from the study.

Time Range

2006–2018

Freshness

Last updated 2026-05-21 17:24:08; freshness should be verified.

Geography

United States