Turner Hannah, Bryant-Waugh Rachel, Peveler Robert
University of Southampton, UK.
Eur Eat Disord Rev. 2009 Jul;17(4):269-80. doi: 10.1002/erv.931.
To investigate whether clinically meaningful sub-groups of patients can be identified by clustering eating disorder features, attachment and coping styles.
165 patients completed the Eating Disorder Examination (EDE), Attachment Style Questionnaire (ASQ) and Utrecht Coping List (UCL). Cluster analysis was used to identify sub-groups across the sample.
Four clusters were identified. Cluster one had low levels of eating disorder behaviours and the most severe attachment and coping difficulties. Cluster two had high levels of dietary restriction and exercise, and a fearful/avoidant attachment style. Cluster three had high levels of binge eating and vomiting, and few attachment and coping difficulties. Cluster four had low levels of eating disorder features and positive attachment and coping styles.
Clustering participants on the basis of eating disorder features, attachment and coping yields four sub-groups appearing to have clinical face validity.
研究能否通过对饮食失调特征、依恋和应对方式进行聚类来识别具有临床意义的患者亚组。
165名患者完成了饮食失调检查(EDE)、依恋风格问卷(ASQ)和乌得勒支应对清单(UCL)。采用聚类分析来识别整个样本中的亚组。
识别出四个聚类。聚类一饮食失调行为水平低,但依恋和应对困难最为严重。聚类二有高水平的饮食限制和运动,以及恐惧/回避型依恋风格。聚类三有高水平的暴饮暴食和呕吐,且依恋和应对困难较少。聚类四有低水平的饮食失调特征以及积极的依恋和应对方式。
根据饮食失调特征、依恋和应对方式对参与者进行聚类可产生四个似乎具有临床表面效度的亚组。