Youth applications

Ridgers, Nicola D.; Drehlich, Mark

doi:10.1016/b978-0-12-818914-6.00011-9

Cited by 2 publications

(1 citation statement)

References 61 publications

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“…This study found that Fitbit use was relatively high, but there was an apparent decline in weeks three and four. Ridgers et al [ 67 ] recently suggested an “adherence window” of 2–4 weeks, which may reflect a window of opportunity (e.g., [ 64 , 68 , 69 ]) for researchers to encourage long-term wearable use. However, it is still unclear how this can be achieved.…”

Section: Discussionmentioning

confidence: 99%

Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study

Creaser

Hall

Costa

et al. 2022

IJERPH

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Background: The family environment plays a crucial role in child physical activity (PA). Wearable activity trackers (wearables) show potential for increasing children’s PA; however, few studies have explored families’ acceptance of wearables. This study investigated the acceptability of using wearables in a family setting, aligning experiences with components of the Technology Acceptance Model and Theoretical Domains Framework. Methods: Twenty-four families, with children aged 5–9 years, took part in a 5-week study, where all members were provided with a Fitbit Alta HR for 4 weeks. Acceptability was measured using weekly surveys and pre-post-questionnaires. Nineteen families participated in a focus group. Quantitative and qualitative data were integrated using the Pillar Integration Process technique. Results: Pillars reflected (1) external variables impacting wearable use and PA and (2) wearable use, (3) ease of use, (4) usefulness for increasing PA and other health outcomes, (5) attitudes, and (6) intention to use a wearable, including future intervention suggestions. Conclusions: Families found the Fitbit easy to use and acceptable, but use varied, and perceived impact on PA were mixed, with external variables contributing towards this. This study provides insights into how wearables may be integrated into family-based PA interventions and highlights barriers and facilitators of family wearable use.

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Section: Discussionmentioning

confidence: 99%

Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study

Creaser

Hall

Costa

et al. 2022

IJERPH

View full text Add to dashboard Cite

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Applying the COM-B model to understand wearable activity tracker use in children and adolescents

Creaser

Clemes

Bingham

et al. 2022

J Public Health (Berl.)

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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.

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Youth applications

Cited by 2 publications

References 61 publications

Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study

Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study

Applying the COM-B model to understand wearable activity tracker use in children and adolescents

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