Sanford Center for Bio-behavioral Research, Fargo, ND, United States of America; Department of Psychiatry, University of North Dakota School of Medicine and Health Sciences, Fargo, ND, United States of America.
Sanford Center for Bio-behavioral Research, Fargo, ND, United States of America; Department of Psychiatry, University of North Dakota School of Medicine and Health Sciences, Fargo, ND, United States of America.
Eat Behav. 2021 Apr;41:101509. doi: 10.1016/j.eatbeh.2021.101509. Epub 2021 Apr 20.
Ecological Momentary Assessment (EMA) is a widely used methodology to examine psychological and behavioral phenomena among individuals with eating disorders (EDs). While EMA overcomes limitations associated with traditional retrospective self-report, it remains subject to potential methodological limitations, including poor adherence to the EMA protocol, which may bias findings. Little is known about baseline and momentary predictors of missing EMA data in ED research; however, such work may help clarify the correlates of missingness and illuminate steps to address potential bias. The purpose of this study was to investigate predictors of EMA adherence in a sample of adults with binge-eating disorder (BED) enrolled in a randomized treatment trial. Prior to treatment, 110 patients completed self-report questionnaires assessing demographics, psychopathology, and transdiagnostic risk/maintenance factors. Participants then responded to EMA questions regarding their eating behavior and internal states six times a day for seven days. A series of generalized-linear and mixed-effect models were conducted to examine baseline and momentary predictors of EMA adherence. No significant baseline predictors were identified, suggesting that participants' overall level of missing data was not related to person-level characteristics (e.g., gender, level of ED pathology). However, lower positive affect, lower hunger, signals later in the day, later days in the EMA protocol, and missed prior signals predicted greater odds of signal non-response, suggesting certain contextual factors may impact the likelihood that a participant with BED will respond to the subsequent EMA signal. Ultimately, these findings have implications for future eating disorder EMA research.
生态瞬时评估(EMA)是一种广泛用于研究饮食障碍(ED)个体心理和行为现象的方法。虽然 EMA 克服了传统回顾性自我报告的局限性,但它仍然存在潜在的方法学局限性,包括对 EMA 协议的遵守情况较差,这可能会导致研究结果出现偏差。在 ED 研究中,关于 EMA 缺失数据的基线和瞬时预测因素知之甚少;然而,此类工作可能有助于阐明缺失的相关性,并阐明解决潜在偏差的步骤。本研究的目的是调查在参加随机治疗试验的暴食症(BED)成年患者样本中,预测 EMA 依从性的因素。在治疗前,110 名患者完成了自我报告问卷,评估了人口统计学、精神病理学和跨诊断风险/维持因素。然后,参与者每天六次对他们的饮食行为和内部状态回答 EMA 问题,持续七天。进行了一系列广义线性和混合效应模型,以检验 EMA 依从性的基线和瞬时预测因素。没有发现显著的基线预测因素,这表明参与者整体缺失数据的水平与个体特征(例如,性别、ED 病理水平)无关。然而,较低的正性情绪、较低的饥饿感、白天后期的信号、EMA 协议中较晚的天数,以及错过之前的信号,预测了信号无反应的可能性更大,这表明某些环境因素可能会影响 BED 参与者对随后 EMA 信号的反应。最终,这些发现对未来的饮食障碍 EMA 研究具有启示意义。
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