2013
DOI: 10.1371/journal.pone.0062613
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Harnessing Different Motivational Frames via Mobile Phones to Promote Daily Physical Activity and Reduce Sedentary Behavior in Aging Adults

Abstract: Mobile devices are a promising channel for delivering just-in-time guidance and support for improving key daily health behaviors. Despite an explosion of mobile phone applications aimed at physical activity and other health behaviors, few have been based on theoretically derived constructs and empirical evidence. Eighty adults ages 45 years and older who were insufficiently physically active, engaged in prolonged daily sitting, and were new to smartphone technology, participated in iterative design development… Show more

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Cited by 285 publications
(312 citation statements)
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References 32 publications
(40 reference statements)
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“…In the week following program delivery, participants in the intervention group reduced total and weekday sedentary behavior by approximately 837 min/week and 132 min/ weekday, respectively. This preliminary effect was larger than prior sedentary behavior interventions with older adults using self-reported measures of behavior [5][6][7].…”
Section: Discussionmentioning
confidence: 70%
See 2 more Smart Citations
“…In the week following program delivery, participants in the intervention group reduced total and weekday sedentary behavior by approximately 837 min/week and 132 min/ weekday, respectively. This preliminary effect was larger than prior sedentary behavior interventions with older adults using self-reported measures of behavior [5][6][7].…”
Section: Discussionmentioning
confidence: 70%
“…Intervention content focused on disrupting sedentary behavior habits (i.e., an automatic process) via action planning in addition to enhancing self-efficacy, intentions, and plans to limit sedentary behavior via educational content, practicing interrupting sedentary behavior, and developing action plans (i.e., reflective processes). Previous interventions have relied on determinants of physical activity, primarily reflective motivational determinants, to develop intervention content [5,6,8]. The intervention effects in this study may be the result of increased emphasis on targeting and disrupting the automatic motivational processes (e.g., habits) that maintain older adults' sedentary behavior.…”
Section: Discussionmentioning
confidence: 99%
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“…Figure 2 trial or outcome studies, five articles focused on software design and evaluation and the remaining articles are on focus groups and interview studies on stakeholders' opinions on smart phone apps for physical activity (see Table 1). [25] × × [26] × [27] × × × × × × × × × [28] × × × × × × × × [29] × × × × [30] × × × [31] × [32] × × × × × × × × × × × × [33] × × [34] × × × × × × × [35] × × × × [36] × × × × × × [37] × [38] × × × [39] × × × × × [40] × [41] × [42] × × × × [43] × × [44] Illustrations in figure 2 and table 2 show features that are highly present in articles on physical activity intervention studies, those features that were occasionally mentioned, or those that were not cited often in these articles. Visualisation of persuasive features is presented to provide more insights about the highlights, 9 gaps and blank spots [45] in current mobile application persuasive design features on physical activity.…”
Section: Data Extractionmentioning
confidence: 99%
“…Users were rewarded with a visually appealing symbols displayed on the application dashboard each time the user completed a physical activity [25]. Reward systems were implemented that encouraged users to complete physical exercise task with a series of rewards that could be progressively unlocked as the user completed exercise goals [30], or reached behaviour change milestones [33].…”
Section: Dialogue Supportmentioning
confidence: 99%