VA Greater Los Angeles Healthcare System, Center for the Study of Healthcare Innovation, Implementation, and Policy, United States of America.
University of California, Los Angeles, United States of America.
Eat Behav. 2021 Dec;43:101572. doi: 10.1016/j.eatbeh.2021.101572. Epub 2021 Oct 2.
This study is a secondary analysis testing the effects of an internet eating disorder prevention program on reward-based eating drive in a high-risk sample of college-aged women.
We analyzed data from 278 women who were randomized to internet dissonance-based intervention (DBI-I), internet cognitive-behavioral treatment (CBTI), or no intervention (NI). Both active conditions consisted of self-guided activities completed over the course of four weeks. Linear mixed effects modeling was used to test the effect of internet intervention on reward-based eating drive.
DBI-I was associated with greater reductions in reward-based eating over time than NI. No other Condition × Time effects were found.
The results provide preliminary support for DBI-I as a strategy for reducing reward-based eating drive in a high-risk population relative to no intervention.
本研究为二次分析,旨在检验网络饮食失调预防计划对高危年轻女性群体基于奖励的进食驱动力的影响。
我们分析了 278 名女性的数据,这些女性被随机分配至基于网络不和谐的干预(DBI-I)、网络认知行为治疗(CBTI)或不干预(NI)组。两种主动干预组均包含自我指导活动,活动需在四周内完成。线性混合效应模型用于检验网络干预对基于奖励的进食驱动力的影响。
与不干预相比,DBI-I 随时间推移与更大程度的基于奖励的进食减少相关。未发现其他条件×时间的相互作用。
结果初步支持 DBI-I 作为一种策略,与不干预相比,它可以降低高危人群的基于奖励的进食驱动力。