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

China Health and Retirement Longitudinal Study data from 2015–2020, analyzing 29,620 subjects aged 45–85 years. The dataset was created by Dezhen Dai and published on figshare in March 2026. It examines determinants of cognitive function stratified by educational level.

Use Cases

• Modeling the relationship between age and cognitive decline based on educational stratification
• Analyzing gender disparities in cognitive function across different educational groups
• Investigating the protective effect of internet use on cognition across educational levels
• Studying the impact of urban residence on cognitive health across educational strata
• Assessing the effect of memory-related diseases on cognitive scores across educational groups

Strengths

• 29,620 subjects provide a substantial sample size
• Data spans a 5-year longitudinal period from 2015–2020
• Analysis stratifies participants into four distinct educational groups

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count for the underlying data is unknown, which may limit suitability assessment
• The dataset is only 19.7 KB, indicating a very limited scope, likely summary statistics 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