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Apps for IMproving FITness and increasing physical activity among young people: the AIMFIT pragmatic randomized controlled trial

Direito, Artur, Jiang, Yannan, Whittaker, Robyn and Maddison, Ralph 2015, Apps for IMproving FITness and increasing physical activity among young people: the AIMFIT pragmatic randomized controlled trial, Journal of medical internet research, vol. 17, no. 8, pp. 1-13, doi: 10.2196/jmir.4568.

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Title Apps for IMproving FITness and increasing physical activity among young people: the AIMFIT pragmatic randomized controlled trial
Author(s) Direito, Artur
Jiang, Yannan
Whittaker, Robyn
Maddison, Ralph
Journal name Journal of medical internet research
Volume number 17
Issue number 8
Start page 1
End page 13
Total pages 13
Publisher JMIR Publications
Place of publication Toronto, Ont.
Publication date 2015-08
ISSN 1438-8871
Keyword(s) adolescent
health promotion
mobile applications
motor activity
physical activity
physical fitness
Summary BACKGROUND: Given the global prevalence of insufficient physical activity (PA), effective interventions that attenuate age-related decline in PA levels are needed. Mobile phone interventions that positively affect health (mHealth) show promise; however, their impact on PA levels and fitness in young people is unclear and little is known about what makes a good mHealth app. OBJECTIVE: The aim was to determine the effects of two commercially available smartphone apps (Zombies, Run and Get Running) on cardiorespiratory fitness and PA levels in insufficiently active healthy young people. A second aim was to identify the features of the app design that may contribute to improved fitness and PA levels. METHODS: Apps for IMproving FITness (AIMFIT) was a 3-arm, parallel, randomized controlled trial conducted in Auckland, New Zealand. Participants were recruited through advertisements in electronic mailing lists, local newspapers, flyers posted in community locations, and presentations at schools. Eligible young people aged 14-17 years were allocated at random to 1 of 3 conditions: (1) use of an immersive app (Zombies, Run), (2) use of a nonimmersive app (Get Running), or (3) usual behavior (control). Both smartphone apps consisted of a fully automated 8-week training program designed to improve fitness and ability to run 5 km; however, the immersive app featured a game-themed design and narrative. Intention-to-treat analysis was performed using data collected face-to-face at baseline and 8 weeks, and all regression models were adjusted for baseline outcome value and gender. The primary outcome was cardiorespiratory fitness, objectively assessed as time to complete the 1-mile run/walk test at 8 weeks. Secondary outcomes were PA levels (accelerometry and self-reported), enjoyment, psychological need satisfaction, self-efficacy, and acceptability and usability of the apps. RESULTS: A total of 51 participants were randomized to the immersive app intervention (n=17), nonimmersive app intervention (n=16), or the control group (n=18). The mean age of participants was 15.7 (SD 1.2) years; participants were mostly NZ Europeans (61%, 31/51) and 57% (29/51) were female. Overall retention rate was 96% (49/51). There was no significant intervention effect on the primary outcome using either of the apps. Compared to the control, time to complete the fitness test was -28.4 seconds shorter (95% CI -66.5 to 9.82, P=.20) for the immersive app group and -24.7 seconds (95% CI -63.5 to 14.2, P=.32) for the nonimmersive app group. No significant intervention effects were found for secondary outcomes. CONCLUSIONS: Although apps have the ability to increase reach at a low cost, our pragmatic approach using readily available commercial apps as a stand-alone instrument did not have a significant effect on fitness. However, interest in future use of PA apps is promising and highlights a potentially important role of these tools in a multifaceted approach to increase fitness, promote PA, and consequently reduce the adverse health outcomes associated with insufficient activity.
Language eng
DOI 10.2196/jmir.4568
Field of Research 08 Information And Computing Sciences
11 Medical And Health Sciences
17 Psychology And Cognitive Sciences
Socio Economic Objective 920499 Public Health (excl. Specific Population Health) not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, JMIR Publications
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Document type: Journal Article
Collection: Centre for Physical Activity and Nutrition Research
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