Taiwan Biobank Lifestyle Factors and 4.9-Year Changes in Phenotypic Age

69,462 participants from the Taiwan Biobank were tracked over 4.9 years to study changes in phenotypic age, a composite biomarker of biological aging. The research by Wan-Yu Lin analyzed 43 lifestyle and environmental factors, identifying associations with obesity, diet, and employment. The dataset was last updated on May 7, 2026.

Use Cases

• Modeling biological aging trajectories based on longitudinal phenotypic age measurements.
• Identifying modifiable lifestyle risk factors associated with accelerated aging.
• Analyzing sex-specific differences in the impact of factors like body composition and dietary habits.
• Investigating the association between environmental exposures, such as incense burning, and aging biomarkers.

Strengths

• 69,462 participants provide a substantial sample size for longitudinal analysis.
• 4.9 years of follow-up data allows for tracking changes in biological aging.
• Analysis of 43 lifestyle factors offers a broad scope for identifying associations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the Taiwan Biobank cohort.

Provenance

Source

Taiwan Biobank

Collection Method

Partial correlation and best-subset regression analysis of follow-up data.

Time Range

4.9 years of follow-up.

Freshness

Last updated 2026-05-07 04:37:20; freshness should be verified.

Geography

Taiwan