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- Title
Applying the COM-B model to understand wearable activity tracker use in children and adolescents.
- Authors
Creaser, Amy V.; Clemes, Stacy A.; Bingham, Daniel D.; Costa, Silvia
- Abstract
Aim: Wearable activity trackers (wearables) are increasingly popular intervention tools for increasing child and adolescent physical activity (PA) levels. However, the large-scale habitual use of wearables in children and adolescents is unknown. This study investigated the prevalence of wearable use in children and adolescents, and what factors impact their use. Subjects and methods: This study utilised a cross-sectional survey and the 'Capability, Opportunity, Motivation and Behaviour' (COM-B) model was applied to explore what child/adolescent and parental characteristics impact wearable use. Parents/guardians of 5- to 17-year-olds were invited to complete the survey. The survey was open internationally, and consisted of between 19 and 23 questions, depending on child/adolescent wearable use. Multinomial logistic regression analyses were conducted to explore variables impacting wearable use, in children (5 to 9 years) and adolescents (10 to 17 years). Results: The survey was completed by 652 parents, representing 831 children/adolescents. Most children/adolescents had never used a wearable (n = 429; 51.6%), and 252 (30.3%) and 150 (18.1%) currently or had previously used a wearable, respectively. Child age and sex, capability, opportunity and motivation for PA were associated with wearable use, and differences were present between child (5 to 9 years) and adolescent (10 to 17 years) wearable use. Conclusions: This study offers a novel contribution to the understanding of child and adolescent habitual wearable use, and what impacts wearable use in these age groups.
- Subjects
PHYSICAL fitness mobile apps; PARENT attitudes; CROSS-sectional method; WEARABLE technology; PHYSICAL activity; SURVEYS; DISEASE prevalence; RESEARCH funding; LOGISTIC regression analysis; STATISTICAL sampling; CHILDREN; ADOLESCENCE
- Publication
Journal of Public Health (09431853), 2023, Vol 31, Issue 12, p2103
- ISSN
0943-1853
- Publication type
Article
- DOI
10.1007/s10389-022-01763-7