Table 1_Digital engagement and physical activity patterns across Chinese populations: a se

A secondary analysis of 33,613 participants from the CFPS 2020 and CHARLS 2020 national surveys. The dataset examines the association between a composite digital engagement index (0–100) and physical activity measured in MET-minutes/week. It was authored by Yuxin Zhou and last updated on 2026-05-20.

Use Cases

• Modeling the association between digital engagement and physical activity levels based on the composite index and IPAQ standards.
• Analyzing demographic moderation effects based on age, urban-rural, and educational differences described in the results.
• Investigating the relative impact of specific digital behaviors like health information searching and digital health service use on physical activity.

Strengths

• Data from 33,613 participants provides a substantial sample size for analysis.
• Digital engagement is measured using a composite index (0–100) covering multiple dimensions: access, skills, health information behavior, and service use.
• Physical activity is assessed using the standardized IPAQ (MET-minutes/week) metric.
• Analysis includes multilevel mixed-effects models and moderation tests for key demographic variables.

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 very small (17.7 KB), suggesting it may contain only summary or analysis results rather than raw survey data.

Provenance

Source

CFPS 2020 and CHARLS 2020 national surveys.

Collection Method

Secondary analysis of survey data using multilevel mixed-effects models.

Time Range

2020

Freshness

Last updated 2026-05-20 05:45:56; freshness should be verified.

Geography

China