Baihui Luo , Fang Nong , Bing Qi , Xiaoli Liu , Yuehua He , Hui Zheng
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引用次数: 0
Abstract
Background
Impulsivity is a key factor in the onset of non-suicidal self-injury (NSSI) during adolescence; however, the impact of other psychological factors on this relationship remains uncertain.
Objectives
This study mainly explored the complex network relationship between general mental health status and NSSI in adolescents.
Methods
We surveyed 1127 adolescents regarding their experiences with NSSI and conducted detailed assessments of their mental health status, attitudes toward animals, and demographic characteristics, including age, gender, Body Mass Index, socioeconomic status, and online-time. Complex interactions and potential patterns among NSSI, general mental health status, attitudes toward animals, and demographic variables were examined using logistic regression analysis, GLASSO network and Bayesian network analysis.
Results
A significant association was observed between impulsive tendencies (ImT; odds ratio [OR]: 1.62; 95 % confidence interval [CI]: 1.49–1.76) and physical symptoms (PhS; OR: 1.34, 95 % CI: 1.27–1.43) with NSSI in the training set. Network analysis identified anxiety about people (AaP), PhS, and ImT as central features. Moreover, Bayesian network analysis suggested that ImT has a direct associated with NSSI, while AaP and PhS exert an indirect influence on NSSI through the mediation of ImT.
Conclusion
Beyond the direct and potent link between impulsivity and non-suicidal self-injury, the study highlights that interpersonal anxiety and somatic symptoms have an indirect yet significant impact on non-suicidal self-injury, primarily mediated through the prism of impulsivity.
期刊介绍:
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.