Martini Matteo, Longo Paola, Toppino Federica, De Bacco Carlotta, Preti Antonio, Abbate-Daga Giovanni, Panero Matteo
Eating Disorders Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Eur Eat Disord Rev. 2025 Jan;33(1):118-132. doi: 10.1002/erv.3133. Epub 2024 Sep 4.
Motivation to change is an important predictor for treatment outcomes in individuals with anorexia nervosa (AN), however, the existence and clinical relevance of distinct motivational dimensions are understudied. This study aimed to structurally validate the AN Stage of Change Questionnaire (ANSOCQ) in the Italian adult AN population to identify separate motivational dimensions and their association with clinical variables and outcomes.
Inpatients and outpatients with AN (N = 300) completed the ANSOCQ and measures assessing eating and depressive psychopathology. Unique Variable Analysis and Exploratory Graph Analysis were employed to identify dimensions in the network structure of ANSOCQ. Cross-sectional associations with clinical variables were assessed in the whole sample. Predictive value on weight and psychopathology was assessed in inpatients.
Two dimensions were identified, one comprising items relative to weight gain, and the second items regarding attitudes towards eating, body, and emotional problems. Feelings associated with eating resulted as most central in the network. Higher scores in the first dimension and ANSOCQ total predicted weight gain during hospitalisation. No significant predictors emerged for changes in eating psychopathology.
These findings confirm the robust psychometric properties of ANSOCQ and provide support for the use of its subdimensions in clinical practice.
改变动机是神经性厌食症(AN)患者治疗结果的重要预测指标,然而,不同动机维度的存在及其临床相关性尚未得到充分研究。本研究旨在对意大利成年AN患者群体中的AN改变阶段问卷(ANSOCQ)进行结构验证,以确定不同的动机维度及其与临床变量和结果的关联。
300名AN住院患者和门诊患者完成了ANSOCQ以及评估饮食和抑郁精神病理学的量表。采用独特变量分析和探索性图形分析来确定ANSOCQ网络结构中的维度。在整个样本中评估与临床变量的横断面关联。在住院患者中评估对体重和精神病理学的预测价值。
确定了两个维度,一个维度包括与体重增加相关的项目,另一个维度包括关于饮食、身体和情绪问题态度的项目。与饮食相关的感受在网络中最为核心。第一个维度和ANSOCQ总分得分较高可预测住院期间的体重增加。未发现饮食精神病理学变化的显著预测因素。
这些发现证实了ANSOCQ强大的心理测量特性,并为其在临床实践中使用子维度提供了支持。