Chinese Longitudinal Health and Education Data Across Three Generations, 2011-2020

Supplementary file 1 from a study by Tingshuai Ge, published on figshare in 2026, examines the effects of own, parental, spousal, and children's education on later-life health trajectories. The dataset is derived from the China Health and Retirement Longitudinal Study (CHARLS) and contains 62,836 person-years of observations from 15,304 individuals aged 45-85 over the period 2011-2020.

Use Cases

• Modeling the relationship between spousal education and mental health trajectories based on the described gender-specific findings
• Analyzing the diminishing effect of children's education on physical health with age as indicated in the results
• Investigating gender disparities in how family members' education shapes health outcomes over time
• Training models to predict health inequalities based on multi-generational educational attainment

Strengths

• Contains 62,836 person-years of longitudinal observations, providing substantial temporal depth
• Based on the established China Health and Retirement Longitudinal Study (CHARLS) survey
• Covers a large sample of 15,304 individuals aged 45-85
• Explicitly examines education effects across three generations (own, parents, spouse, children)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count for the underlying dataset is unknown, which may limit suitability assessment
• Data may reflect geographic and temporal bias inherent to the CHARLS survey in China

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS)

Collection Method

Hierarchical linear regression models applied to longitudinal survey data

Time Range

2011-2020

Freshness

Last updated 2026-05-20 05:01:04; freshness should be verified

Geography

China