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精神病超高危人群阳性与阴性症状量表(PANSS)的因子结构。

Factor structure of the positive and negative syndrome scale (PANSS) in people at ultra high risk (UHR) for psychosis.

机构信息

Research Division, Institute of Mental Health, Singapore, Singapore.

Department of Psychiatry & Behavioral Sciences, Duke University Medical Center, Durham, USA.

出版信息

Schizophr Res. 2018 Nov;201:85-90. doi: 10.1016/j.schres.2018.05.024. Epub 2018 May 24.

Abstract

INTRODUCTION

The Positive and Negative Syndrome Scale (PANSS), a comprehensive psychopathology assessment scale used in the evaluation of psychopathology in schizophrenia, is also often used in the Ultra-High-Risk (UHR) population. This paper examined the dimensional structure of the PANSS in a UHR sample.

METHODS

A total of 168 individuals assessed to be at UHR for psychosis on the Comprehensive Assessment of At-Risk Mental States (CAARMS) were evaluated on the PANSS, Calgary Depression Scale for Schizophrenia (CDSS), Beck Anxiety Inventory (BAI), Brief Assessment of Cognition in Schizophrenia (BACS), and Global Assessment of Functioning (GAF). Exploratory factor analysis (EFA) of the PANSS was performed to identify the factorial structure. Convergent validity was explored with the CAARMS, CDSS, BAI and BACS.

RESULTS

EFA of the PANSS yielded five symptom factors - Positive, Negative, Cognition/Disorganization, Anxiety/Depression, and Hostility. This 5-factor solution showed good convergent validity with the CAARMS composite score, CDSS, BAI, and BACS. Positive, Negative and Anxiety/Depression factors were associated with functioning.

CONCLUSION

The reported PANSS factor structure may serve to improve the understanding and measurement of clinical symptom dimensions manifested in people with UHR for future research and clinical setting.

摘要

简介

阳性与阴性症状量表(PANSS)是一种全面的精神病理学评估量表,用于评估精神分裂症中的精神病理学,也常用于超高危(UHR)人群。本文研究了 UHR 人群中 PANSS 的维度结构。

方法

共有 168 名被综合评估风险认知状态量表(CAARMS)评估为精神病超高危的个体接受了 PANSS、精神分裂症 Calgary 抑郁量表(CDSS)、贝克焦虑量表(BAI)、Brief Assessment of Cognition in Schizophrenia(BACS)和总体功能评估(GAF)的评估。对 PANSS 进行探索性因素分析(EFA)以确定其因子结构。通过 CAARMS、CDSS、BAI 和 BACS 探索了聚合效度。

结果

PANSS 的 EFA 产生了五个症状因子——阳性、阴性、认知/混乱、焦虑/抑郁和敌意。该 5 因子解显示与 CAARMS 总分、CDSS、BAI 和 BACS 具有良好的聚合效度。阳性、阴性和焦虑/抑郁因子与功能有关。

结论

报告的 PANSS 因子结构可用于改善对 UHR 人群中表现出的临床症状维度的理解和测量,为未来的研究和临床环境提供帮助。

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