Turner-McGrievy Gabrielle M, Crimarco Anthony, Wilcox Sara, Boutté Alycia K, Hutto Brent E, Muth Eric R, Hoover Adam
Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, USA.
Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, USA.
Digit Health. 2020 Nov 30;6:2055207620976755. doi: 10.1177/2055207620976755. eCollection 2020 Jan-Dec.
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.
自我效能感(SE)和信息处理(IP)可能是设计减肥移动健康干预措施时需要关注的重要概念。本研究的目的是作为饮食干预移动追踪研究的一部分,考察自我效能感和信息处理与六个月体重减轻之间的关系,该研究是一项为期六个月的随机试验,通过每周两次的播客远程提供内容。参与者被随机分配使用移动应用程序(n = 42)或可穿戴咬数计数器设备(n = 39)自我监测饮食。使用体重效能生活方式问卷评估自我效能感,评估的信息处理变量包括用户控制、认知负荷、新颖性、详述。回归分析考察了六个月时体重减轻、自我效能感变化和信息处理之间的关系。结果表明,在所有自我效能感和信息处理变量中,详述是体重减轻的最强预测因素(β = -0.423,P = 0.011),并且详述每增加一分,参与者体重减轻0.34千克。