University of Minnesota, Department of Psychiatry, Minneapolis, MN, USA.
University of Minnesota, Department of Psychiatry, Minneapolis, MN, USA.
Psychiatry Res. 2014 Jan 30;215(1):185-91. doi: 10.1016/j.psychres.2013.08.023. Epub 2013 Nov 5.
The two objectives of the current study were: (1) to identify daily patterns of negative affect (NA) in obese individuals; and (2) to determine whether daily affect patterns were related to overeating without loss of control (OE-only), loss of control eating without overeating (LOC-only), and binge eating (BE) episodes. Fifty obese (BMI=40.3 ± 08.5) adults (84.0% female) completed a two-week ecological momentary assessment protocol during which they completed assessments of NA and indicated whether their eating episodes were characterized by OE and/or LOC. Latent growth mixture modeling (LGMM) was used to identify daily trajectories of NA. GEE analysis was used to determine whether daily affect trajectories were differentially related to the frequency of OE-only, LOC-only, and BE episodes. The LGMM analyses identified nine unique trajectories of NA. Significantly higher frequencies of OE-only and BE episodes occurred on days characterized by high or increasing levels of NA. There were no significant differences between classes for the frequency of LOC-only episodes. These data suggest that NA may act as an antecedent to OE-only and BE episodes and that targeting "problematic affect days" may reduce the occurrence of OE-only and BE episodes among obese individuals.
(1) 确定肥胖个体的负面情绪（NA）的日常模式；(2) 确定日常情绪模式是否与无失控的暴食（OE-only）、失控进食而无暴食（LOC-only）和暴食（BE）发作有关。50 名肥胖（BMI=40.3±08.5）成年人（84.0%为女性）完成了为期两周的生态瞬时评估方案，在此期间，他们完成了对 NA 的评估，并指出他们的进食发作是否以 OE 和/或 LOC 为特征。潜在增长混合模型（LGMM）用于识别 NA 的日常轨迹。广义估计方程（GEE）分析用于确定每日影响轨迹是否与 OE-only、LOC-only 和 BE 发作的频率存在差异。LGMM 分析确定了 9 种独特的 NA 轨迹。在 NA 水平较高或呈上升趋势的日子里，OE-only 和 BE 发作的频率显著更高。LOC-only 发作的频率在各班级之间没有显著差异。这些数据表明，NA 可能是 OE-only 和 BE 发作的前兆，针对“问题性情绪日”可能会减少肥胖个体中 OE-only 和 BE 发作的发生。
