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<i title="JMIR Publications Inc.">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cfonkdvdevdi7ibnokqvtmt6te" style="color: black;">JMIR mHealth and uHealth</a>
Mobile technologies have great potential to promote an active lifestyle in lower educated working young adults, an underresearched target group at a high risk of low activity levels. Objective: The objective of our study was to examine the effect and process evaluation of the newly developed evidence-and theory-based smartphone app "Active Coach" on the objectively measured total daily physical activity; self-reported, context-specific physical activity; and self-reported psychosocial variables<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2196/10003">doi:10.2196/10003</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30143477">pmid:30143477</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g7aubljo2fck7o245yja6wrfbq">fatcat:g7aubljo2fck7o245yja6wrfbq</a> </span>
more »... among lower educated working young adults. Methods: We recruited 130 lower educated working young adults in this 2-group cluster randomized controlled trial and assessed outcomes at baseline, posttest (baseline+9 weeks), and follow-up (posttest+3 months). Intervention participants (n=60) used the Active Coach app (for 9 weeks) combined with a Fitbit activity tracker. Personal goals, practical tips, and educational facts were provided to encourage physical activity. The control group received print-based generic physical activity information. Both groups wore accelerometers for objective measurement of physical activity, and individual interviews were conducted to assess the psychosocial variables and context-specific physical activity. Furthermore, intervention participants were asked process evaluation questions and generalized linear mixed models and descriptive statistics were applied.
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