ArticleResearch square2025
StandUPTV: A full-factorial optimization trial to reduce sedentary screen time among adults.
Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04464993 (StandUPTV), which is not on this map. Not yet cited in PubMed.
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StandUPTV: Reducing Sedentary Screen Time in Adults
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14 authors.
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Abstract
Background: Using the multiphase optimization strategy (MOST) framework, we aimed to identify a feasible, acceptable and optimized set of mHealth-delivered behavioral strategies for reducing recreational sedentary screen time (rSST) by at least 60 min/day. Methods: Eligible participants were 23-64 years old and had high rSST (> 3 h/day). We used a full factorial (23) design in which participants received a "core" mHealth application and were randomized to combinations of three components (on vs. off): LOCKOUT: rSST electronically restricted; TEXT: rSST reduction prompts; and EARN: rSST through physical activity. rSST was assessed at baseline and at 8 and 16 weeks of age via an integrated measure of sedentary time and screen time. We used a linear mixed effect model to test the change in rSST for the three intervention components and their interactions. Results: A total of 82% of the randomized participants (N = 110) were female, with a mean ± SD age of 41 ± 11.7 y and a BMI of 29.7 ± 7.8 kg/m Conclusions: We identified several promising intervention versions that exceeded our optimization objective. The intervention version that included core, LOCKOUT, TEXT, & EARN components "on" was efficacious, feasible and acceptable and should be used to test the effect of rSST reductions on health outcomes. Trial registration: (clinicaltrials.gov NCT04464993).
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