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

China Health and Retirement Longitudinal Study data from 2015 to 2020 includes 29,620 subjects aged 45–85 years. Dezhen Dai analyzed cognitive function determinants stratified by educational level using mixed-effects models. The dataset was last updated on 2026-03-19.

Use Cases

• Modeling the relationship between educational level and cognitive function scores based on stratified analysis.
• Investigating the modifying effect of education on gender disparities in cognitive function.
• Analyzing the protective effect of internet use on cognition across different educational groups.
• Studying the impact of urban residence on cognitive function relative to education level.
• Assessing the effect of memory-related diseases on cognitive scores within high-education populations.

Strengths

• 29,620 subjects provide a substantial sample size for analysis.
• Data spans a 5-year longitudinal period from 2015 to 2020.
• Analysis includes stratification by four distinct educational groups (illiterate, primary school, junior high school, high school and above).
• Mixed-effects models and sensitivity analyses were used to verify result robustness.

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 30.7 KB, indicating it likely contains summary or processed results rather than raw data.

Provenance

Source

China Health and Retirement Longitudinal Study

Collection Method

Mixed-effects models used to analyze cognitive function determinants across educational groups.

Time Range

2015–2020

Freshness

Last updated 2026-03-19 05:17:36; freshness should be verified.

Geography

China