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Using Data-Driven Insights to Explore the Variability in Pupils’ Physical Activity Between English Primary Schools

  • University of Bristol

Research output: Contribution to journalArticlepeer-review

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Abstract

Background: Characterizing interindividual differences in physical activity within schools and understanding potential drivers of these differences may support the development of improved strategies to increase in-school physical activity. Methods: Anonymized physical activity data from a school-specific wrist-worn device were obtained from 17,043 pupils and 2555 staff from 165 primary schools in England. Additional school information included UK government school data, area-level deprivation, and estimated playground area. Descriptive statistics were calculated, and data visualizations were used to explore within- and between-school differences. Multilevel models were used to explore the associations between children’s in-school physical activity and school variables, with pupils nested within schools, adjusted for individual characteristics. Results: There was large variation in physical activity between schools. Some schools accumulated twice the amount of physical activity within the school day compared with other schools, with physical activity ranging from 4253 to 8356 steps per school day or 16 to 39 minutes of moderate to vigorous physical activity per school day. School-level data, such as playground space and government school ratings, did not explain between-school variance. Although boys were generally more active than girls in most schools, some schools had more equitable physical activity, and in a small number of schools (∼5%), girls were more active than boys. Conclusions: There is considerable heterogeneity in physical activity levels between English primary schools. Technology-enabled surveillance from wearable devices can be used to identify schools needing greater support and facilitate learning from those with higher and more equitable physical activity among pupils.
Original languageEnglish
Pages (from-to)1270-1282
Number of pages13
JournalJournal of Physical Activity and Health
Volume22
Issue number10
Early online date24 Sept 2025
DOIs
Publication statusPublished - 31 Oct 2025

Acknowledgements

We would like to thank the team at Moki Technology for providing the data underpinning this study. Funding Source: This work was part of the lead author’s doctorate, which was funded by the Economic and Social Research Council’s South West Doctoral Training Partnership (ES/P000630/1).

Funding

This work was part of the lead author’s doctorate, which was funded by the Economic and Social Research Council’s South West Doctoral Training Partnership (ES/P000630/1)

FundersFunder number
Economic and Social Research CouncilES/ P000630/1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • surveillance
  • accelerometer
  • physical activity assessment

ASJC Scopus subject areas

  • Epidemiology
  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Public Health, Environmental and Occupational Health

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