Webb, Justin and Stewart, Duncan (2023) Let's move with Leon: a randomised controlled trial of a UK digital intervention to improve physical activity in people with a musculoskeletal condition. Public Health, 217. pp. 125-132. ISSN 0033-3506
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Abstract / Description
Objective:
This paper present a real-world evaluation of a digital intervention, ‘Let’s Move with Leon’, designed to improve physical activity and health-related quality of life in people with a musculoskeletal condition.
Study design:
A pragmatic randomised controlled trial.
Methods:
After randomisation and withdrawals were removed, 184 participants were assigned to receive the digital intervention with 185 assigned to a control group. Self-reported physical activity was the primary outcome. Health-related quality of life, the number of days completing strength-based exercises per -week, the capability, opportunity, and motivation to be active, and step count were secondary outcomes. Outcomes were assessed over 4, 8 and 13-weeks.
Results:
Significant improvements were seen for self-reported physical activity at 13 weeks, reported strength days at 8 weeks, perceptions of physical capability and automatic motivation to be active at 4 and 8 weeks. No improvements were seen in step count or health-related quality of life over the control group.
Conclusion:
Digital interventions such as ‘Let’s Move with Leon’ have the potential to increase physical activity in people with a musculoskeletal condition, however, improvements are likely to be small. Small improvements in physical activity may not be enough to improve HRQoL.
Item Type: | Article |
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Uncontrolled Keywords: | physical activity; musculoskeletal condition; COM-B; digital behaviour change interventions; health improvement |
Subjects: | 300 Social sciences > 360 Social problems & services; associations 600 Technology > 610 Medicine & health |
Department: | School of Social Sciences and Professions |
Depositing User: | Justin Webb |
Date Deposited: | 31 Jan 2023 11:38 |
Last Modified: | 18 Apr 2023 11:14 |
URI: | https://repository.londonmet.ac.uk/id/eprint/8220 |
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