Department of Psychology, Drexel University, Philadelphia, PA, USA.
Department of Psychology, Drexel University, Philadelphia, PA, USA.
Eat Behav. 2020 Dec;39:101448. doi: 10.1016/j.eatbeh.2020.101448. Epub 2020 Oct 29.
Consistent self-monitoring of dietary intake, weight, and physical activity predicts better outcomes during behavioral weight loss, but the factors that influence self-monitoring adherence are not well understood. This study attempted to fill gaps in the existing literature by examining whether pre-treatment eating behaviors predict adherence to digital self-monitoring during a behavioral weight loss program.
Participants (N = 77) reported on binge eating, uncontrolled eating, and emotional eating at baseline, and were instructed to self-monitor their food intake, weight, and physical activity using digital devices (food logging app, Fitbit, and wireless "smart" scale) throughout the 12-week treatment. Adherence to self-monitoring was assessed using data captured from these devices.
Greater baseline binge eating severity predicted greater adherence to self-monitoring of weight (ρ = 0.25, p = .03) and eating (ρ = 0.25, p = .03), but not self-monitoring of physical activity. Uncontrolled eating and emotional eating did not significantly predict self-monitoring adherence.
In contrast to previous research, this study found that participants with greater pre-treatment binge eating severity had better adherence to self-monitoring of eating, and for the first time established a relationship between binge eating severity and digital self-monitoring of weight in behavioral weight loss. Individuals with greater pre-treatment binge eating may exhibit characteristics, such as motivation or rigidity, that are beneficial during the initial period of weight loss. Future studies should determine if there are features of analogue versus digital self-monitoring that may explain this pattern of findings, and examine these associations longitudinally.
持续的饮食摄入、体重和身体活动自我监测可预测行为性减肥的更好结果，但影响自我监测依从性的因素尚未得到很好的理解。本研究试图通过检查治疗前的饮食行为是否预测行为性减肥计划中数字自我监测的依从性来填补现有文献中的空白。
参与者（N=77）在基线时报告暴食、失控性进食和情绪性进食，并且被指示使用数字设备（食物记录应用程序、Fitbit 和无线“智能”秤）在整个 12 周的治疗过程中自我监测食物摄入、体重和身体活动。使用从这些设备中捕获的数据评估自我监测的依从性。
基线时暴食严重程度越大，预测体重（ρ=0.25，p=0.03）和饮食（ρ=0.25，p=0.03）自我监测的依从性越高，但对身体活动自我监测的依从性没有显著预测作用。失控性进食和情绪性进食与自我监测的依从性无显著相关性。
与之前的研究相反，本研究发现治疗前暴食严重程度较高的参与者对饮食自我监测的依从性更好，并且首次建立了暴食严重程度与行为性减肥中数字体重自我监测之间的关系。治疗前暴食严重程度较高的个体可能表现出一些特征，如动机或僵化，这些特征在减肥的初始阶段是有益的。未来的研究应该确定模拟与数字自我监测之间是否存在某些特征，可以解释这种发现模式，并进行纵向研究。
