Unknown

Dataset Information

0

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


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.

SUBMITTER: Turner-McGrievy GM 

PROVIDER: S-EPMC7708700 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Turner-McGrievy Gabrielle M GM   Crimarco Anthony A   Wilcox Sara S   Boutté Alycia K AK   Hutto Brent E BE   Muth Eric R ER   Hoover Adam A  

Digital health 20200101


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)  ...[more]

Similar Datasets

| S-EPMC4633334 | biostudies-literature
| S-EPMC7962887 | biostudies-literature
| S-EPMC6381303 | biostudies-literature
| S-EPMC6679976 | biostudies-literature
| S-EPMC6173193 | biostudies-literature
| S-EPMC8471894 | biostudies-literature
| S-EPMC8488452 | biostudies-literature
| S-EPMC5739951 | biostudies-literature
| S-EPMC6129208 | biostudies-literature
| S-EPMC3743095 | biostudies-literature