Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University & the Miriam Hospital/Weight Control and Diabetes Research Center, United States.
Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University & the Miriam Hospital/Weight Control and Diabetes Research Center, United States.
Appetite. 2021 Nov 1;166:105440. doi: 10.1016/j.appet.2021.105440. Epub 2021 Jun 10.
Success in behavioral weight loss (BWL) programs depends on adherence to the recommended diet to reduce caloric intake. Dietary lapses (i.e., deviations from the BWL diet) occur frequently and can adversely affect weight loss outcomes. Research indicates that lapse behavior is heterogenous; there are many eating behaviors that could constitute a dietary lapse, but they are rarely studied as distinct contributors to weight outcomes. This secondary analysis aims to evaluate six behavioral lapse types during a 10-week mobile BWL program (eating a large portion, eating when not intended, eating an off-plan food, planned lapse, being unaware of caloric content, and endorsing multiple types of lapse). Associations between weekly behavioral lapse type frequency and weekly weight loss were investigated, and predictive contextual characteristics (psychological, behavioral, and environmental triggers for lapse) and individual difference (e.g., age, gender) factors were examined across lapse types. Participants (N = 121) with overweight/obesity (M = 34.51; 84.3% female; 69.4% White) used a mobile BWL program for 10 weeks, self-weighed weekly using Bluetooth scales, completed daily ecological momentary assessment of lapse behavior and contextual characteristics, and completed a baseline demographics questionnaire. Linear mixed models revealed significant negative associations between unplanned lapses and percent weight loss. Unplanned lapses from eating a large portion, eating when not intended, and having multiple "types" were significantly negatively associated with weekly percent weight loss. A lasso regression showed that behavioral lapse types share many similar stable factors, with other factors being unique to specific lapse types. Results add to the prior literature on lapses and weight loss in BWL and provide preliminary evidence that behavioral lapse types could aid in understanding adherence behavior and developing precision medicine tools to improve dietary adherence.
行为体重管理（BWL）项目的成功取决于对推荐饮食的遵守，以减少热量摄入。饮食失误（即，偏离 BWL 饮食）经常发生，并可能对体重减轻的结果产生不利影响。研究表明，失误行为是异质的；有许多饮食行为可能构成饮食失误，但它们很少作为对体重结果的不同贡献来研究。这项二次分析旨在评估 10 周移动 BWL 计划期间的六种行为失误类型（吃大量食物、非计划进食、吃计划外食物、计划失误、不知道卡路里含量、并认可多种失误类型）。研究了每周行为失误类型频率与每周体重减轻之间的关联，并检查了预测性的上下文特征（心理、行为和失误的环境触发因素）以及个体差异（例如，年龄、性别）因素在各种失误类型中的差异。超重/肥胖参与者（N=121；M=34.51；84.3%女性；69.4%白人）使用移动 BWL 计划 10 周，每周使用蓝牙秤自我称重，每天进行生态瞬间评估失误行为和上下文特征，并完成基线人口统计问卷。线性混合模型显示，无计划失误与体重减轻百分比之间存在显著负相关。无计划的大量进食、非计划进食和多种“类型”的失误与每周体重减轻百分比呈显著负相关。套索回归显示，行为失误类型有许多相似的稳定因素，而其他因素则是特定失误类型所独有的。研究结果增加了 BWL 中失误与体重减轻的相关文献，并提供了初步证据，表明行为失误类型可以帮助理解依从性行为，并开发精确医学工具以提高饮食依从性。
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