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Completed

NCT Number: NCT04905615

The Use of Data From Wearable Technology to Co-develop School-specific Physical Activity Interventions

Increasing physical activity is vital for children's physical and mental health. It is important to address inactivity early and engage children in positive behaviours which can be sustained throughout life. Teachers are well placed to understand and influence in-school factors impacting children's physical activity. As wearable technologies continue to improve and become more accessible, they offer the opportunity to engage schools in the data collection process, as well as providing them with the capacity to monitor strategies designed to improve physical activity. This study is a within-subject, pre-post, co-developed intervention design.

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Key information

Age range

9 year–11 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University of Bath

Bath, Banes, BA2, United Kingdom

About this study

Previous interventions have not successfully increased physical activity levels in primary schools. This is arguably due to a lack of comprehensive data collection methods and the lack of co-involvement of teachers and children in intervention design. In previous research, accelerometers have been used by researchers to quantify children's physical activity levels. However, these have been research-grade devices which require a more complex analysis to extract results; because of this, these types of measurement tools have not been utilised by schools. This study will aim to utilise user-friendly technologies which can engage schools in the data collection process and be employed by schools to implement and measure strategies designed to increase physical activity by providing immediate feedback.

This project aims to investigate whether data from wearable technologies can be used to inform primary school-based practices and improve children's physical activity within school hours using co-developed interventions. This project is a participatory mixed-methods design in two phases. 7-9 schools will be recruited. The first phase in each school involves baseline measures of pupils' physical activity for 2-weeks, using accelerometers which have been specifically designed for school use. Pupils will be blinded to the physical activity data during this period. During this 2-week baseline teachers will be instructed to carry out lessons as normal, not changing their behaviour, or encouraging the pupils' physical activity. Data visualisations will be created from the 2-weeks of physical activity data collected within each school. Teachers will then be interviewed online, using Microsoft Teams, and encouraged to reflect on the physical activity data and co-develop 3-5 action points or strategies to increase children's physical activity. Teachers will then be asked to implement these action points over the subsequent 2-weeks, where again children's physical activity will be measured with the accelerometers. This time children will not be blinded to the data and can receive physical activity feedback if this is a strategy selected by their teacher. These changes will be at each schoolteacher's discretion and managed in a way they deem most appropriate. Following these 2-week changes teachers will be interviewed again about their experiences of using the technology and implementing strategies to encourage physical activity. They will then be shown similar data visualisations as before, comparing changes in pupils' physical activity between each 2-week period.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Any pupil from the each respective UK-based school and class. Pupils in years 5 to 6 (aged 9-11 years old).

Exclusion criteria

  • No exclusion criteria.

Treatment and study plan

Data-driven and teacher led school based strategies.

Other

The intervention is individualised to each school, depending on the teacher led strategies which are data-informed

Primary outcomes

  1. Step Count

    Time frame: 2-weeks baseline, compared to 2-weeks intervention period in each school

    Changes in step counts from baseline

Secondary outcomes

  1. Moderate to Vigorous Physical Activity (MVPA)

    Time frame: 2-weeks baseline, compared to 2-weeks intervention period in each school

    Changes in MVPA from baseline

  2. Qualitative Data

    Time frame: Interviews conducted at the end of each 2-week period with each class teacher.

    The first interview with teachers is conducted following the 2-week baseline measures, during which their class' physical activity data will be discussed and action points co-developed. The second interview will take place after the 2-week intervention period. Teachers will be presented with their class' physical activity data changes, which will be discussed alongside the successes and challenges of the implemented action points.

  3. Pupil Demographics and Physical Activity Measures

    Time frame: 4 weeks

    Physical activity changes in different demographic groups (i.e., gender, free school meal, pupil premium and SEN)

Sponsors and collaborators

Lead sponsor

University of Bath

Other

Collaborators

  • Economic and Social Research Council, United Kingdom
  • Loughborough University
  • University of Bristol

Registry information

Official study title

The Use of Data From Wearable Technology to Co-develop School-specific Physical Activity Interventions in Children Aged 9-11

Important dates

Study start
2021
Primary completion
2021
Study completion
2021
First posted
May 27, 2021
Registry last updated
Oct 6, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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