Efficacy of an m-Health Physical Activity and Sleep Health Intervention for Adults: A Randomized Waitlist-Controlled Trial

Impact of a Social Media Campaign on Reach, Uptake, and Engagement with a Free Web- and App-Based Physical Activity Intervention: The 10,000 Steps Australia Program

“…That study found that workplace challenges (now called team Tournaments) were associated with a reduced risk of attrition [17]. Despite this, the SMC group time to non-usage attrition was much longer than a previous real-world study involving the 10,000 Steps program [27] and less than a third shorter than an app-based physical activity and sleep RCT, which had the advantage of participants being actively recruited to a program with a more formal structure [28]. Therefore, whilst the social media campaign significantly improved registration numbers to the 10,000 Steps program, strategies which promote longer engagement with the program should be explored.…”

Feasibility and Preliminary Efficacy of an m-Health Intervention Targeting Physical Activity, Diet, and Sleep Quality in Shift-Workers

“…The proportion accessing the app at least once was comparable to that of other app-based interventions [50], but as it is well known that engagement tapers off with time in technology-based interventions, studies with longer follow-up time often report lower engagement rates at the end of the study [51]. When used in a non-shift-worker population, the app scored better on the system usability score, with 70.8 (19.7) points compared to the shift-worker population with 62.7 (12.7) points [33]. The non-shift-workers also used the app for longer, with an average of 37.0 days of data logged compared to 11.6 days in the shift-worker population; however, as a proportion of study length, the logging events were similar (44% of 84 days vs. 41% of 28 days, respectively) [33].…”

“…The intervention in this feasibility study was adapted from interventions that specifically targeted activity and sleep, with or without diet behaviors, but intentionally excluded shift-workers, (“Synergy” ACTRN12617000376347, “Refresh” ACTRN12617000680369, and “Move, Eat, and Sleep” ACTRN12617000735358) [29,31,32,33]. In these previous trials, shift-workers were specifically excluded because of their unique requirements, discussed in the introduction of this paper.…”

“…In these previous trials, shift-workers were specifically excluded because of their unique requirements, discussed in the introduction of this paper. The development of the intervention content was guided by using specific behavior change techniques (e.g., education, goal-setting, self-monitoring, feedback on behavior) to operationalize constructs from social cognitive and self-regulatory theories (for further information, please see Table S2, Supplementary Materials) [33,34,35,36,37]. Due to the cost of modifying the app and the need for specific feedback from the target audience on key features that need to be added or improved to increase its utility for shift-workers, the app was used in its original form in the current study.…”

“…Physical activity was self-reported using the Active Australia Questionnaire and two separate items asking how many sessions of muscle-strengthening activities they participated in last week, and the average duration of these sessions [33]. Diet quality was assessed using a 70-item food frequency questionnaire, which was then used to produce the Australian Recommended Food Score (ARFS) [43].…”