The role of self-efficacy and information processing in weight loss during an mHealth behavioral intervention. (November 2020)

• Record Type: Journal Article
• Authors: Turner-McGrievy, Gabrielle M; Crimarco, Anthony; Wilcox, Sara; Boutté, Alycia K; Hutto, Brent E; Muth, Eric R; Hoover, Adam
• Is Part Of: Digital health. Volume 6(2020)
• Publication Date: 2020-11
• Subjects: Weight loss -- mobile health -- technology -- diet -- dietary self-monitoring; Medical care -- Data processing -- Periodicals; Medical informatics -- Periodicals; 362.10285
• DOI: 10.1177/2055207620976755
• Languages: English
• ISSNs: 2055-2076

Abstract

Self-efficacy (SE) and information processing (IP) may be important constructs to target when designing mHealth interventions for weight loss. The goal of this study was to examine the relationship between SE and IP with weight loss at six-months as part of the Dietary Interventions Examining Tracking with mobile study, a six-month randomized trial with content delivered remotely via twice-weekly podcasts. Participants were randomized to self-monitor their diet with either a mobile app (n = 42) or wearable Bite Counter device (n = 39). SE was assessed using the Weight Efficacy Life-Style Questionnaire and the IP variables assessed included user control, cognitive load, novelty, elaboration. Regression analysis examined the relationship between weight loss, SE change & IP at six months. Results indicate that elaboration was the strongest predictor of weight loss (ß =−0.423, P = 0.011) among all SE & IP variables and that for every point increase in elaboration, participants lost 0.34 kg body weight.