The relationships among trauma, stress, social support, and psychopathology: exploring early warning factors of mental illness from a network analysis perspective

心理学 透视图(图形) 精神疾病 心理健康 预警系统 发展心理学 社交网络(社会语言学) 网络分析 社会网络分析 社会支持 心理学理论 精神科 社会心理学 因果关系(物理学) 临床心理学 预警系统 时间观 应用心理学 心理学研究 心理干预 社会环境 因果分析 因果模型 认知心理学 因果链 透视法 网络理论
作者
GuoLiang Fu,Yimeng Pan,Yinxi Liu,Shatong Xie,WeiYan Huang,HuiZhen Yuan,YongWang Xu
出处
期刊:BMC Psychology [BioMed Central]
卷期号:14 (1): 27-27 被引量:1
标识
DOI:10.1186/s40359-025-03721-w
摘要

BACKGROUND: In recent years, there has been extensive literature on social support, perceived stress, childhood trauma, depression, and OCD. Previous studies primarily summarized phenomena from existing literature to formulate hypotheses, then employed one-way tests to examine their relationships. To further elucidate their potential connections and provide robust evidence for predicting mental disorders, this study comprehensively explores the associations between mental health risk factors and psychiatric symptoms. METHODS: A total of 1,647 participants were included in the analyses. Their ages ranged from 18 to 50 years (M = 25.5, SD = 6.74), with 65.5% identifying as male and 34.5% as female. They were asked to complete a series of questionnaires, including the Childhood Trauma Questionnaire, Beck Depression Inventory, Obsessive-Compulsive Inventory-Revised, State-Trait Anxiety Inventory, and Non-suicidal Self-Injury Inventory. Questionnaire scores were treated as nodes to estimate a Gaussian Graphical Model. Partial correlations between nodes were used as edges, and centrality indices-including strength-was computed. RESULTS: Notably, perceived stress stands out as the most robustly connected element among mental health factors, while state-trait anxiety assumes preeminence in terms of strength within the realm of psychopathological symptoms. This investigation, framed within a network perspective, identifies pivotal nodes in the relationships among mental health factors and mental disorders. CONCLUSIONS: This study, from a cross-sectional network perspective, identifies central nodes linking mental health factors and psychiatric symptoms. Although this approach does not establish causal relationships, the results enhance our understanding of their interconnections and may contribute to the development of more systematic and effective early-warning systems for psychological disorders in adults.
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