Data Sheet 1_Sleep quality and life satisfaction in urban-dwelling solitary Chinese older

Chinese Longitudinal Healthy Longevity Survey data from the 2017–2018 wave, focusing on 1,261 urban-dwelling older adults living alone. The dataset, authored by Min Wang, assesses sleep quality, depression, cognitive function, and life satisfaction. It was used for a parallel mediation analysis with 5,000 bootstrap samples and 5-fold cross-validation.

Use Cases

• Modeling the relationship between sleep quality and life satisfaction based on survey variables.
• Conducting mediation analysis to explore the roles of depression and cognitive function.
• Training predictive models for life satisfaction based on sleep, depression, and cognitive scores.
• Validating statistical models for gerontological research using cross-validation techniques.

Strengths

• Includes data from 1,261 individuals, providing a substantive sample size.
• Analysis employed 5,000 bootstrap samples and 5-fold cross-validation for model robustness.
• Clear focus on four key assessed variables: sleep quality, depression, cognitive function, and life satisfaction.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and temporal bias inherent to the 2017–2018 survey wave in China.

Provenance

Source

Chinese Longitudinal Healthy Longevity Survey (CLHLS)

Collection Method

Survey data from the 2017–2018 wave, analyzed using the PROCESS macro for parallel mediation.

Time Range

2017–2018

Freshness

Last updated 2026-04-14 05:38:58; freshness should be verified.

Geography

China (urban areas)