Cognitive Function Factors Across Educational Levels in China, 2015-2020

29,620 subjects aged 45–85 years from the China Health and Retirement Longitudinal Study were stratified by educational level to analyze cognitive determinants. Mixed-effects models revealed a significant educational gradient in cognitive scores and varying effects of age, gender, internet use, and urban residence across groups. The analysis was conducted by Dezhen Dai and published on figshare in March 2026.

Use Cases

• Analyze the correlation between educational level and cognitive function scores based on stratified group results
• Model the modifying effect of education on gender disparities in cognitive performance based on the varying beta coefficients
• Study the protective effect of internet use on cognitive function across different educational strata based on the reported beta values
• Investigate the impact of urban residence on cognitive health relative to education level based on the gradient of effects
• Assess the influence of memory-related diseases on cognitive function within high-education groups based on the significant beta coefficient

Strengths

• Analysis includes 29,620 subjects, providing a substantial sample size
• Data spans a longitudinal period from 2015 to 2020
• Subjects are stratified into four distinct educational groups (illiterate, primary, junior high, high school+) with specific counts
• Results include specific beta coefficients and p-values for multiple factors across groups

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
• The dataset file is 81.2 KB, indicating a very limited scope likely containing summary results rather than raw data

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS)

Collection Method

Mixed-effects models applied to longitudinal survey data

Time Range

2015–2020

Freshness

Last updated 2026-03-19 05:17:37; freshness should be verified

Geography

China