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用于筛查高危青少年的心理病理学易感性指数的开发:一种拉施模型方法。

Development of the psychopathological vulnerability index for screening at-risk youths: a Rasch model approach.

作者信息

Liao Yujing, Shen Haitao, Duan Wenjie, Cui Shanshan, Zheng Chunxiu, Liu Rong, Jia Yawen

机构信息

Social and Public Administration School, East China University of Science and Technology, Shanghai, China.

Institute of Marxism, East China University of Science and Technology, Shanghai, China.

出版信息

Npj Ment Health Res. 2024 Dec 2;3(1):60. doi: 10.1038/s44184-024-00106-6.

Abstract

Accumulating research on mental health emphasizes the general factor of psychopathology (p-factor) that unites various mental health issues. This study develops a psychopathological vulnerability assessment for youths, evaluating its psychometric properties and clinical utility. An umbrella review conceptualized multifactor psychopathological vulnerability, leading to a 57-item pool. A total of 11,224 individuals participated in this study. The resulting 22-item psychopathological vulnerability index (PVI) fitted the unidimensional Rasch model, demonstrating a person separation reliability of 0.78 and a Cronbach's alpha of 0.84. Cut-off points of 11 and 5, derived from latent class analysis, were used to distinguish vulnerable and high-protection populations. The PVI's concurrent and predictive hit rates ranged from 36.00% to 53.57% in clinical samples. The PVI concretized the vulnerability-stress model for identifying at-risk youths and may facilitate universal interventions by integrating the theoretical foundations of bifactor S-1 models with key symptoms from network models for theoretically grounded approaches.

摘要

越来越多关于心理健康的研究强调了心理病理学的一般因素(p因素),它将各种心理健康问题联系在一起。本研究开发了一种针对青少年的心理病理学易感性评估方法,评估其心理测量特性和临床效用。一项综合评价将多因素心理病理学易感性概念化,形成了一个包含57个条目的题库。共有11224人参与了本研究。由此产生的22个条目的心理病理学易感性指数(PVI)符合单维Rasch模型,显示出0.78的个人分离信度和0.84的克朗巴哈系数。通过潜在类别分析得出的临界值11和5,用于区分易受伤害人群和高保护人群。在临床样本中,PVI的同时效度和预测命中率在36.00%至53.57%之间。PVI具体化了识别高危青少年的易感性-应激模型,并可能通过将双因素S-1模型的理论基础与网络模型的关键症状相结合,为基于理论的方法促进普遍干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0673/11612436/1e824af5f58d/44184_2024_106_Fig1_HTML.jpg

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