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预测成人进食障碍日间治疗项目完成情况的因素。

Predictors of non-completion of a day treatment program for adults with eating disorders.

机构信息

Eating Disorders Continuum, Douglas Institute, Verdun, Quebec, Canada.

Psychiatry Department, McGill University, Montreal, Quebec, Canada.

出版信息

Eur Eat Disord Rev. 2022 Mar;30(2):146-155. doi: 10.1002/erv.2879. Epub 2021 Dec 30.

Abstract

Although treatment dropout is common among patients with eating disorders, very few studies have examined predictors of non-completion in day treatment. We investigated various potential predictors of dropout from adult day treatment. Participants were 295 adult patients with a diagnosis of Anorexia Nervosa (restricting or binge-eating/purging subtype), Bulimia Nervosa (BN), Other Specified Feeding or Eating Disorder, or Avoidant Restrictive Food Intake Disorder. Predictors included eating-disorder characteristics, motivation at the commencement of treatment, Body Mass Index (BMI), time spent in treatment and personality dimensions. Logistic regression analyses showed that for patients with a BMI of less than 20 at the start of treatment, low BMI was a significant predictor of staff-initiated termination due to not meeting weight gain goals. Furthermore, completing less than 6 weeks of treatment was associated with staff-initiated termination. For the whole sample, those with higher changes in weight over the course of treatment were less likely to terminate prematurely. None of the other predictor variables yielded significant results. Results of the current study highlight characteristics of patients who are more likely not to complete day treatment and can help identify patients who may be at risk for not succeeding in multi-diagnostic day treatment programs.

摘要

尽管饮食失调患者中途退出治疗的情况很常见,但很少有研究探讨日间治疗中治疗失败的预测因素。我们调查了成人日间治疗中各种潜在的退出预测因素。参与者是 295 名患有神经性厌食症(限制型或暴食-呕吐型)、神经性贪食症、其他特定进食或饮食障碍、或回避性限制型食物摄入障碍的成年患者。预测因素包括饮食失调特征、治疗开始时的动机、体重指数(BMI)、治疗时间和人格维度。逻辑回归分析显示,对于治疗开始时 BMI 低于 20 的患者,BMI 较低是由于未达到体重增加目标而由工作人员发起终止治疗的显著预测因素。此外,完成不到 6 周的治疗与工作人员发起的终止治疗有关。对于整个样本,治疗过程中体重变化较大的患者不太可能提前终止治疗。其他预测变量均无显著结果。本研究的结果突出了不太可能完成日间治疗的患者的特征,并有助于识别可能在多诊断日间治疗项目中不成功的患者。

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