<p>Associations between 24-h MBs and EF.</p>

Ling Wang's dataset on figshare contains cross-sectional data from 266 preschool children aged 3–6 years. It examines relationships between 24-hour movement behaviors (physical activity, sedentary behavior, sleep) and executive function, measured via accelerometer, sleep logs, and the Early Years Toolbox. The dataset was last updated on 2026-05-08.

Use Cases

• Analyzing associations between sedentary behavior and inhibitory control based on accelerometer and cognitive assessment data.
• Investigating the positive relationship between sleep duration and cognitive flexibility using compositional data analysis results.
• Modeling the effects of isotemporal substitution (e.g., replacing sedentary time with sleep) on executive function scores.
• Studying the relative explanatory power of movement behavior composition for different executive function components like working memory.

Strengths

• Includes data from 266 preschool children, providing a specific sample size.
• Uses objective measurement tools: ActiGraph GT3X-BT accelerometer for physical activity and sleep logs for sleep duration.
• Reports specific statistical results, such as a 16.3% explanatory power for inhibitory control and p-values < 0.001 for key associations.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is cross-sectional (single time point), limiting causal inference.

Provenance

Source

figshare, author Ling Wang.

Collection Method

Cross-sectional study using accelerometers, sleep logs, and the Early Years Toolbox for assessments.

Freshness

Last updated 2026-05-08 17:38:44; freshness should be verified.