Sarah Hales1, Gabrielle M Turner-McGrievy2, Sara Wilcox3, Arjang Fahim4, Rachel E Davis5, Michael Huhns6, Homayoun Valafar7. 1. Department of Health Promotion, Education, and Behavior, University of South Carolina, Discovery I Building, Room 529, Columbia, SC 29208, USA. Electronic address: bridg@musc.edu. 2. Department of Health Promotion, Education, and Behavior, Affiliated Scholar, Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC, 29208, USA. Electronic address: brie@sc.edu. 3. Department of Exercise Science, Director, USC Prevention Research Center, Affiliated Scholar, Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC 29208 USA. Electronic address: swilcox@sc.edu. 4. Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA. Electronic address: fahim@email.sc.edu. 5. Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC 29208, USA. Electronic address: rdavis@mailbox.sc.edu. 6. Department of Computer Science and Engineering, Affiliated Scholar, Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC 29208, USA. Electronic address: huhns@cec.sc.edu. 7. Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA. Electronic address: homayoun@cse.sc.edu.
Abstract
OBJECTIVE: To test the efficacy of a weight loss mobile app based on recommender systems and developed by experts in health promotion and computer science to target social support and self-monitoring of diet, physical activity (PA), and weight (Social POD app), compared to a commercially available diet and PA tracking app (standard). MATERIALS AND METHODS:Overweight adults [N=51] were recruited and randomly assigned to either the experimental group [n=26; theory-based podcasts (TBP)+Social POD app] or the comparison group (n=25; TBP+standard app). The Social POD app issued notifications to encourage users to self-monitor and send theory-based messages to support users who had not self-monitored in the previous 48h. Independent samples t-test were used to examine group differences in kilograms lost and change in BMI. Analysis of covariance was used to analyze secondary outcomes while controlling for baseline values. RESULTS: Participant attrition was 12% (n=3 experimental and n=3 comparison). Experimental group participants lost significantly more weight (-5.3kg, CI: -7.5, -3.0) than comparison group (-2.23kg, CI: -3.6, -1.0; d=0.8, r=0.4, p=0.02) and had a greater reduction in BMI (p=0.02). While there were significant differences in positive outcome expectations between groups (p=0.04) other secondary outcomes (e.g., caloric intake and social support) were not significant. DISCUSSION: Use of the Social POD app resulted in significantly greater weight loss than use of a commercially available tracking app. This mobile health intervention has the potential to be widely disseminated to reduce the risk of chronic disease associated with overweight and obesity. Published by Elsevier Ireland Ltd.
RCT Entities:
OBJECTIVE: To test the efficacy of a weight loss mobile app based on recommender systems and developed by experts in health promotion and computer science to target social support and self-monitoring of diet, physical activity (PA), and weight (Social POD app), compared to a commercially available diet and PA tracking app (standard). MATERIALS AND METHODS: Overweight adults [N=51] were recruited and randomly assigned to either the experimental group [n=26; theory-based podcasts (TBP)+Social POD app] or the comparison group (n=25; TBP+standard app). The Social POD app issued notifications to encourage users to self-monitor and send theory-based messages to support users who had not self-monitored in the previous 48h. Independent samples t-test were used to examine group differences in kilograms lost and change in BMI. Analysis of covariance was used to analyze secondary outcomes while controlling for baseline values. RESULTS:Participant attrition was 12% (n=3 experimental and n=3 comparison). Experimental group participants lost significantly more weight (-5.3kg, CI: -7.5, -3.0) than comparison group (-2.23kg, CI: -3.6, -1.0; d=0.8, r=0.4, p=0.02) and had a greater reduction in BMI (p=0.02). While there were significant differences in positive outcome expectations between groups (p=0.04) other secondary outcomes (e.g., caloric intake and social support) were not significant. DISCUSSION: Use of the Social POD app resulted in significantly greater weight loss than use of a commercially available tracking app. This mobile health intervention has the potential to be widely disseminated to reduce the risk of chronic disease associated with overweight and obesity. Published by Elsevier Ireland Ltd.
Entities:
Keywords:
Mobile health; Obesity; Social support; Technology; Weight loss
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