StandUPTV: a full-factorial optimization trial to reduce sedentary screen time among adults

Authors:
Open Access
Publisher website
Google Scholar
Abstract
Background: Using the multiphase optimization strategy (MOST) framework, we aimed to identify an optimized mHealth-delivered intervention for reducing recreational sedentary screen time (rSST) by at least 60 min/day among adults. Methods: Eligible participants were 23–64 years old and self-reported elevated rSST (> 3 h/day). Following a 7-day baseline, participants received a core mHealth application (self-monitoring and 50% reduction target and educational materials) and were randomly assigned to three additional components set to on/off in a full-factorial (23) experiment: LOCKOUT: rSST electronically restricted; TEXT: rSST reduction prompts; and EARN: rSST through physical activity. rSST was assessed at baseline and 16 weeks via an integrated measure that included objectively assessed sedentary time (activPAL accelerometer) and screen time (TV Wifi plugs and tablet usage). We used a linear mixed effect model to evaluate 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/m2, and their mean (95% CI) rSST was 184.7 (172.8, 196.5) min/day at baseline. The expected difference (baseline vs. 16 weeks) in rSST was greatest for the intervention versions with the core plus EARN on with an average reduction of -118.1 (-163.0, -73.1) min/day and for core plus LOCKOUT, TEXT, & EARN on (-125.7 [-172.0, -79.3] min/day). Conclusions: We identified several promising intervention versions that exceeded our optimization objective. This study provides important evidence on efficacious multicomponent interventions that should be moved forward to the evaluation phase of the MOST framework to test the effect of rSST reductions on health outcomes. Trial registration: (clinicaltrials.gov NCT04464993)
Funding Information
  • National Cancer Institute (1R01CA239612-01A1, 1R01CA239612-01A1, 1R01CA239612-01A1, 1R01CA239612-01A1, 1R01CA239612-01A1, 1R01CA239612-01A1, 1R01CA239612-01A1, 1R01CA239612-01A1, 1R01CA239612-01A1, 1R01CA239612-01A1)

This publication has 42 references indexed in Scilit: