A Network Analysis of Sub-clinical Eating Disorders in College Students
Objective:To investigate the network of eating disorder symptoms in college students with sub-clinical eat-ing 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 net-work showed that difficulty concentrating due to thoughts of eating was the most central symptom,followed by dissatisfac-tion 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 screen-ing for individuals with SCED.
College studentsSub-clinical eating disordersNetwork analysis
万方数据
维普
