Physical Activity Intervention Data for Children: Meta-Analysis and Trial Results

21 studies were synthesized in a systematic review and meta-analysis on wearable activity trackers for children and adolescents. This dataset also contains preliminary data from an ongoing cluster randomized controlled trial investigating a preschool-based physical activity intervention, with measurements of fitness, body composition, sleep, and parent-child activity levels. The data was uploaded by Wing Yin Au to figshare in 2026 to support a PhD thesis.

Use Cases

• Conduct meta-analyses on wearable tracker effectiveness based on extracted study data for outcomes like moderate-to-vigorous physical activity and step counts.
• Analyze intervention effects on physical fitness and body composition using baseline and post-intervention measurements from a preschool trial.
• Investigate relationships between school-based activity programs and objectively measured sleep quality in preschoolers.
• Examine the impact of family-inclusive programs on parent-child physical activity levels and relationships.

Strengths

• Includes data from a systematic review of 21 eligible studies, allowing for effect size synthesis.
• Provides longitudinal measurements from a randomized controlled trial at baseline (0-month), post-intervention (10-month), and follow-up (16-month) time points.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data is described as preliminary and from an ongoing trial, which may limit completeness and generalizability.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Wing Yin Au via figshare.

Collection Method

Data compilation from a systematic review/meta-analysis and an ongoing cluster randomized controlled trial.

Time Range

Measurements taken at baseline (0-month), post-intervention (10-month), and follow-up (16-month).

Freshness

Last updated 2026-04-23 07:41:33; freshness should be verified.

Geography

Likely focused on Chinese preschoolers, as one analysis aims to establish epidemiological sleep data for this population.