Understanding comorbidity between eating disorder and premenstrual symptoms using a network analysis approach

Finch, Jody E; Xu, Ziqian; Baker, Jessica H.

doi:10.1016/j.appet.2022.106410

Cited by 3 publications

(2 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To our knowledge, this study is the first to evaluate the comorbidity network structure of adolescent NSSI and depression, which not only improves our understanding of the comorbid but also identifies potential effective treatment targets to prevent and treat the comorbidity between adolescent NSSI and depression. 44 On the whole, based on the PHQ-9 scores and grades, the incidence of depression in adolescents with non-suicidal self-injury behavior was relatively high (N=235, 94.76%), with the majority having severe depression (N=112, 45.16%) and moderately severe depression (N=54, 21.77%). In our study, the prevalence of depression (N=235, 94.76%) was slightly higher than in previous studies (MDD = 81.3%), and the prevalence of severe and higher depression (N = 66.94%) was slightly lower than in previous studies, which may be related to the different research tools and scoring criteria used.…”

Section: Discussionmentioning

confidence: 97%

See 1 more Smart Citation

Understanding Comorbidity Between Non-Suicidal Self-Injury and Depressive Symptoms in a Clinical Sample of Adolescents: A Network Analysis

Niu,

Yin,

Pan

et al. 2024

NDT

View full text Add to dashboard Cite

Background Non-suicidal self-injury (NSSI) and depression often co-occur among adolescents with more severe clinical symptoms. This study examined the network structures of NSSI and depressive symptoms in adolescents. Methods Participants were recruited in the psychiatric outpatient clinics of three tertiary hospitals between April 10 and July 10, 2023. All participants been already found with self-injury behaviors in outpatient when enrolled. NSSI diagnostic criteria and Patient Health Questionnaire-9 (PHQ-9) were utilized to collect NSSI and depressive symptoms separately. We performed a network analysis to visualize the correlation between each symptom and to identify core and bridging symptoms in comorbidities. Results A total of 248 patients were enrolled in the study, with a mean age of 15.48 (SD = 1.62). Based on the PHQ-9 scores and grades, our results showed that the incidence of depression in adolescents with non-suicidal self-injury behavior was relatively high (N=235, 94.76%), with the majority having severe depression. The network analysis revealed that nodes D-6 “feeling bad, failing or letting yourself or your family down”, D-1 “little interest or pleasure” and D-4 “feeling tired” were the most vital and most central symptoms. The most crucial bridging symptom is the node NSSI-8 “frequent thinking about self-injury”, which connects the NSSI to the depression comorbid network. Conclusion This study offers a significant symptom-level conceptualization of the association between NSSI and depressive symptoms in a clinical sample of adolescents, which not only enhances our understanding of the comorbid but also identifies potential treatment targets to prevent and treat comorbidity between adolescent NSSI and depression.

show abstract

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%