{"title":"Which Symptoms Bridge Symptoms of Depression and Symptoms of Eating Disorders?: A Network Analysis.","authors":"Marieke Meier, Berta J Summers, Ulrike Buhlmann","doi":"10.1097/NMD.0000000000001715","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Depression is a common comorbid mental illness in eating disorders (EDs). Network theory focuses on interactions between symptoms, but findings from network analyses of EDs and depression need to be replicated to make reliable claims about the nature of symptomatic interplay. We used cross-sectional data of 366 online-recruited participants with clinically elevated ED symptomatology and constructed a regularized partial correlation network with ED and depression symptoms. To determine each symptom's influence, we calculated expected influence (EI) and bridge EI to identify symptoms that bridged symptoms of depression and ED. Concerns that others see one eat, fear of weight gain, and fear of loss of control over eating were especially important among the ED symptoms. Loss of interest and feeling sad were the key depression symptoms. Eating in secret and low self-esteem emerged as potential bridge symptoms between clusters. These findings regarding bridge symptoms partially overlap with prior network analyses in nonclinical and clinical samples. Future studies that investigate symptom interplay via a longitudinal design to deduce causality are needed.</p>","PeriodicalId":16480,"journal":{"name":"Journal of Nervous and Mental Disease","volume":"212 1","pages":"61-67"},"PeriodicalIF":1.6000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nervous and Mental Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/NMD.0000000000001715","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: Depression is a common comorbid mental illness in eating disorders (EDs). Network theory focuses on interactions between symptoms, but findings from network analyses of EDs and depression need to be replicated to make reliable claims about the nature of symptomatic interplay. We used cross-sectional data of 366 online-recruited participants with clinically elevated ED symptomatology and constructed a regularized partial correlation network with ED and depression symptoms. To determine each symptom's influence, we calculated expected influence (EI) and bridge EI to identify symptoms that bridged symptoms of depression and ED. Concerns that others see one eat, fear of weight gain, and fear of loss of control over eating were especially important among the ED symptoms. Loss of interest and feeling sad were the key depression symptoms. Eating in secret and low self-esteem emerged as potential bridge symptoms between clusters. These findings regarding bridge symptoms partially overlap with prior network analyses in nonclinical and clinical samples. Future studies that investigate symptom interplay via a longitudinal design to deduce causality are needed.
摘要:抑郁症是饮食失调症(EDs)的常见并发症。网络理论关注症状之间的相互作用,但对饮食失调症和抑郁症进行网络分析的结果需要得到证实,才能对症状相互作用的性质做出可靠的判断。我们利用 366 名在线招募的临床 ED 症状升高的参与者的横截面数据,构建了 ED 和抑郁症状的正则化部分相关网络。为了确定每种症状的影响,我们计算了预期影响(EI)和桥接影响(EI),以确定哪些症状是抑郁症状和 ED 症状的桥接症状。在 ED 症状中,担心别人看到自己吃东西、害怕体重增加和害怕失去对饮食的控制尤为重要。失去兴趣和感到悲伤是主要的抑郁症状。秘密进食和自卑可能是各组群之间的桥接症状。这些有关桥接症状的发现与之前在非临床和临床样本中进行的网络分析有部分重叠。未来的研究需要通过纵向设计来调查症状之间的相互作用,从而推断因果关系。
期刊介绍:
The Journal of Nervous and Mental Disease publishes peer-reviewed articles containing new data or ways of reorganizing established knowledge relevant to understanding and modifying human behavior, especially that defined as impaired or diseased, and the context, applications and effects of that knowledge. Our policy is summarized by the slogan, "Behavioral science for clinical practice." We consider articles that include at least one behavioral variable, clear definition of study populations, and replicable research designs. Authors should use the active voice and first person whenever possible.