2022
DOI: 10.2196/36280
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Development and Initial Testing of a Personalized, Adaptive, and Socially Focused Web Tool to Support Physical Activity Among Women in Midlife: Multidisciplinary and User-Centered Design Approach

Abstract: Background Women in midlife are vulnerable to developing cardiovascular disease, particularly those who have conditions such as hypertension. Physical activity (PA) can reduce risk, but efforts to promote PA in this population have been only modestly effective. More attention to social influences on PA behavior may be useful, particularly social support and social comparison processes. Activating these processes with digital tools can provide easy access that is flexible to the needs of women in mi… Show more

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Cited by 4 publications
(2 citation statements)
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References 77 publications
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“…In this review, “social support” was used in 67% (6/9) of the studies targeting both healthy [ 56 , 76 , 79 , 85 ] and clinical (ie, survivors of breast cancer) [ 81 , 83 ] midlife women. Most recently, research suggests that midlife women are ready to make positive behavior changes, yet they need social support and connectivity [ 107 , 108 ]. Similarly, our qualitative synthesis found that midlife women would prefer an app that offers a safe space to share common experiences and receive social support [ 75 ].…”
Section: Discussionmentioning
confidence: 99%
“…In this review, “social support” was used in 67% (6/9) of the studies targeting both healthy [ 56 , 76 , 79 , 85 ] and clinical (ie, survivors of breast cancer) [ 81 , 83 ] midlife women. Most recently, research suggests that midlife women are ready to make positive behavior changes, yet they need social support and connectivity [ 107 , 108 ]. Similarly, our qualitative synthesis found that midlife women would prefer an app that offers a safe space to share common experiences and receive social support [ 75 ].…”
Section: Discussionmentioning
confidence: 99%
“…The requirement for trustworthy and precise computer vision algorithms that can work in a variety of real-world settings and lighting circumstances is one of the biggest challenges. Another difficulty is the requirement for personalized methods and user-centered designs that consider the particular requirements and preferences of people with impairments (Arigo et al, 2022).…”
Section: Previous Work On Computer Vision In Assistive Technologies F...mentioning
confidence: 99%