Data Sheet 1_Association between education level and cognitive trajectories from midlife t

J. Xie published a dataset on figshare in 2026 analyzing the association between education level and cognitive trajectories from midlife to late life. The data covers 8,117 participants aged 45 and older from the Harmonized China Health and Retirement Longitudinal Study (CHARLS) across the period 2011 to 2018. It examines cognitive trajectory patterns, with results showing 57.7% of participants had a sustained high trajectory and 42.3% a sustained low trajectory.

Use Cases

• Modeling the association between education level and cognitive decline based on longitudinal cognitive z-scores.
• Assessing the mediating role of urban-rural residence on cognitive trajectories mentioned in the description.
• Conducting sensitivity analyses to quantify potential unmeasured confounding factors as described.
• Replicating multivariable logistic regression models for risk of persistently low cognitive trajectory.

Strengths

• Dataset is derived from a named, harmonized longitudinal study (CHARLS) with 8,117 participants.
• Analysis includes specific statistical results, such as odds ratios (OR=0.12, 95% CI: 0.10, 0.15) for education effects.
• Clear temporal coverage from 2011 to 2018 is provided.

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 primary file format is DOCX, which may not be optimal for direct data analysis.

Provenance

Source

Harmonized China Health and Retirement Longitudinal Study (CHARLS)

Collection Method

Secondary analysis of longitudinal survey data.

Time Range

2011-2018

Freshness

Last updated 2026-04-10 05:59:00; freshness should be verified.

Geography

China