摘要
目的:使用两种网络分析方法,探索大学生进食障碍亚临床状态(sub-clinical eating disorders,简称SCED)下,进食障碍症状间的关系。方法:采用进食障碍检查自评问卷,筛选出247名处于进食障碍亚临床状态的大学生进行分析,分别基于高斯图形模型和贝叶斯爬山算法构建了进食障碍亚临床状态的正则化偏相关网络和有向网络。结果:在正则化偏相关网络中,思考进食而无法集中注意力是进食障碍亚临床状态症状网络中影响力最高的症状,其次是对体重不满;在有向网络中,思考进食而无法集中注意力是网络中优先级最高的节点。结论:临床工作者在诊疗筛查过程中,需关注与进食相关的认知症状,以尽早识别进食障碍亚临床状态个体。
Objective:To investigate the network of eating disorder symptoms in college students with sub-clinical eating disorders based on network approach.Methods:A total of 247 college students with sub-clinical eating disorders were included in analysis after reporting Eating Disorder Examination Questionnaire.Gaussian graphical models and Bayesian hill climbing algorithms were used to construct symptom networks of sub-clinical eating disorders.Results:LASSO network showed that difficulty concentrating due to thoughts of eating was the most central symptom,followed by dissatisfaction with weight.Bayesian network showed that difficulty concentrating due to thoughts of eating was the highest priority node.Conclusion:Psychiatrists should pay attention to the cognitive symptoms associated with eating in the early screening for individuals with SCED.
作者
连雅囡
张迪
刘思含
伍新春
LIAN Ya-nan;ZHANG Di;LIU Si-han;WU Xin-chun(Beijing Key Laboratory of Applied Experimental Psychology,National Demonstration Center for Experimental Psychology Education(Beijing Normal University),Faculty of Psychology,Beijing Normal University,Beijing 100875,China;Shandong Mental Health Center,Jinan 250014,China;Education and Counseling Center of Mental Health,Ocean University of China,Qingdao 266100,China;School of Applied Psychology,Beijing Normal University at Zhuhai,Zhuhai 519087,China)
出处
《中国临床心理学杂志》
CSCD
北大核心
2024年第1期39-45,共7页
Chinese Journal of Clinical Psychology
基金
国家自然科学基金“童年人际创伤经历对大学生创伤后心理反应的影响”(项目编号:32071085)。
关键词
大学生
进食障碍亚临床状态
网络分析
College students
Sub-clinical eating disorders
Network analysis
