发展的精神病理脆弱性指数筛选有风险的青年:一个Rasch模型方法。

Yujing Liao, Haitao Shen, Wenjie Duan, Shanshan Cui, Chunxiu Zheng, Rong Liu, Yawen Jia
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引用次数: 0

摘要

越来越多的心理健康研究强调精神病理学的一般因素(p-factor),它将各种心理健康问题联系在一起。本研究发展青少年心理病理脆弱性评估,评估其心理测量特性和临床应用。一项总括性的综述概念化了多因素的精神病理脆弱性,得出了一个57项的分类。共有11,224人参与了这项研究。所得的22项心理病理脆弱性指数(PVI)符合一维Rasch模型,个体分离信度为0.78,Cronbach's alpha为0.84。从潜在分类分析中得出的截断点11和5用于区分脆弱人群和高保护人群。在临床样本中,PVI的并发和预测命中率从36.00%到53.57%不等。PVI具体化了识别高危青少年的脆弱性-压力模型,并可能通过将双因素S-1模型的理论基础与理论基础方法的网络模型的关键症状相结合,促进普遍干预。
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Development of the psychopathological vulnerability index for screening at-risk youths: a Rasch model approach
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.
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