Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity

共病 心理学 焦虑 饮食失调 临床心理学 社交焦虑 感觉 精神科 心理干预 社会心理学
作者
Cheri A. Levinson,Leigh C. Brosof,Irina A. Vanzhula,Caroline Christian,Payton J. Jones,Thomas L. Rodebaugh,Julia Langer,Emily K. White,Cortney S. Warren,Justin W. Weeks,Andrew R. Menatti,Michelle H. Lim,Katya C. Fernandez
出处
期刊:International Journal of Eating Disorders [Wiley]
卷期号:51 (7): 693-709 被引量:114
标识
DOI:10.1002/eat.22890
摘要

Abstract Objective Eating disorders (EDs) and social anxiety disorder (SAD) are highly co‐occurring. This comorbidity is extremely relevant, given that individuals with comorbid ED‐SAD are less likely to seek and/or benefit from ED treatment. Method We used network analysis to conceptualize ED‐SAD comorbidity in a sample of 2,215 participants with a primary diagnosis of ED, SAD, or no known diagnosis. We used novel network analyses methods to select symptoms for our models, identify potential illness pathways (i.e., bridge symptoms) between disorders and underlying vulnerabilities (e.g., perfectionism, social appearance anxiety), and to compare across sample types (e.g., clinical vs. nonclinical). We also tested several novel network analyses methods aimed at the following methodological concerns: (a) topological concerns (i.e., which items should be included in NA models), (b) how to use empirical indices to quantify bridge symptoms and (c) what differences in networks across samples mean. Results We found that difficulty with drinking beverages and eating in public were bridge symptoms between ED and SAD. We also found that feeling nervous about one's appearance was a bridge symptom. Conclusions We identified public eating and drinking as bridge symptoms between EDs and SAD. Future research is needed to test if interventions focused on public eating and drinking might decrease symptoms of both EDs and SAD. Researchers can use this study (code provided) as an exemplar for how to use network analysis, as well as to use network analysis to conceptualize ED comorbidity and compare network structure and density across samples.

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