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

NCT ID: NCT04905615

Last Updated: 2022-10-06

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 228 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2021-04-19
• Study Completion Date: 2021-11-29

Brief Summary

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.

Detailed Description

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.

Conditions

Physical Activity

Study Design

• Allocation Method: NON_RANDOMIZED
• Intervention Model: FACTORIAL
• Primary Study Purpose: PREVENTION
• Blinding Strategy: NONE

Study Groups

Baseline Measures

The first two-weeks within each school children's baseline physical activity data will be collected. Children will be blinded to the data, receiving no feedback. Teachers will be instructed not to change normal school practices or encourage children's physical activity.

Group Type: NO_INTERVENTION

No interventions assigned to this group

Data-Driven Strategy Based Intervention

During the following 2-weeks teachers will be implementing strategies to improve their class' physical activity. These are individualised strategies which will be co-developed during semi-structured interviews where teachers will discuss data visualisations with the researcher which depicts their class' physical activity over the 2-week baseline period. Teachers will then implement these strategies over the subsequent 2-weeks. During this time teachers are able to share the physical activity data with their pupils if they wish.

Group Type: EXPERIMENTAL

Data-driven and teacher led school based strategies.

Intervention Type: OTHER

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

Interventions

Data-driven and teacher led school based strategies.

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

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

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

• Minimum Eligible Age: 9 Years
• Maximum Eligible Age: 11 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Economic and Social Research Council, United Kingdom

OTHER

Sponsor Role: collaborator

University of Bristol

OTHER

Sponsor Role: collaborator

Loughborough University

OTHER

Sponsor Role: collaborator

University of Bath

OTHER

Sponsor Role: lead

Responsible Party

Georgina Wort

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

University of Bath

Bath, Banes, United Kingdom

Countries

United Kingdom

Other Identifiers

EP 1920 009

Identifier Type: -

Identifier Source: org_study_id