Longitudinal Associations Between Competence and Sleep in Japanese Older Adults, 2017-2023

A longitudinal study of 450 community-dwelling Japanese adults aged 65 and older, examining associations between changes in higher-level competence and subsequent sleep outcomes over six years. The data were derived from the Community Empowerment and Care for Wellbeing and Healthy Longevity study conducted from 2017 to 2023. The dataset was authored by Ruifeng Zhao and shared under a CC-BY-4.0 license.

Use Cases

• Modeling the odds of incident short sleep duration based on changes in higher-level competence scores.
• Analyzing associations between declines in social role functioning and non-restorative sleep outcomes.
• Investigating longitudinal relationships between instrumental activities of daily living and sleep health in older adults.

Strengths

• Longitudinal design with a 6-year follow-up period from 2017 to 2023.
• Analysis includes 450 older adults with no baseline sleep issues, providing a focused cohort.
• Uses a validated instrument, the Tokyo Metropolitan Institute of Gerontology Index of Competence, for assessment.

Limitations

• The dataset is very small at 21.9 KB, indicating limited scope or summary-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for detailed analysis.

Provenance

Source

Community Empowerment and Care for Wellbeing and Healthy Longevity study.

Collection Method

Survey data from a suburban Japanese community, analyzed using multivariable logistic regression.

Time Range

2017 to 2023

Freshness

Last updated 2026-05-28 04:35:58; freshness should be verified.

Geography

A suburban community in Japan.