Osteoporosis and Cognitive Decline Analysis from ELSA and HRS Cohorts

Supplementary material from a multi-model analysis investigating the association between osteoporosis and cognitive decline. The study analyzed data from 28,919 participants across two prospective cohorts, the English Longitudinal Study of Ageing and the Health Retirement Study. The material was authored by a figshare admin for Karger and updated in April 2026.

Use Cases

• Train models to predict memory score decline using baseline osteoporosis status, age, and gender from the ELSA and HRS cohorts.
• Analyze the association between osteoporosis and Alzheimer's disease incidence using odds ratios and hazard ratios from multivariate regression and Cox models.
• Conduct subgroup analysis to identify high-risk populations, such as younger males or females with hypertension, based on reported beta coefficients and confidence intervals.
• Validate findings on the cumulative effect of osteoporosis on Alzheimer's disease risk using the reported log-rank test statistics.

Strengths

• Analysis based on a substantial sample of 28,919 participants from two established cohorts.
• Includes detailed statistical results like beta coefficients, odds ratios, and confidence intervals for multiple models.
• Data covers longitudinal follow-up, allowing analysis of trends over time.

Limitations

• The 2.8 MB size suggests the dataset contains summary results and supplementary figures, not the raw participant-level data.
• Specific column names and raw data rows are unavailable, limiting direct computational analysis.
• Geographic coverage is limited to participants from the ELSA (UK) and HRS (US) studies.

Provenance

Source

English Longitudinal Study of Ageing (ELSA) and Health Retirement Study (HRS).

Collection Method

Secondary analysis of prospective cohort data using multivariate regression, mixed-effects, and Cox models.

Time Range

null

Freshness

Last updated in April 2026.

Geography

United Kingdom (ELSA) and United States (HRS).