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精神分裂症症状维度(精神病性症状、情感症状和强迫症状)的因子分析。

Factor analysis of symptom dimensions (psychotic, affective and obsessive compulsive symptoms) in schizophrenia.

机构信息

Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.

Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.

出版信息

Asian J Psychiatr. 2018 Dec;38:72-77. doi: 10.1016/j.ajp.2017.10.028. Epub 2017 Oct 23.

Abstract

AIM

To carryout factor analysis of symptom profile of patients with schizophrenia assessed by using positive and negative syndrome scale (PANSS), Calgary depression rating scale (CDSS), Young mania rating scale (YMRS) and YBOCS checklist.

METHODOLOGY

181 patients of schizophrenia were assessed on PANSS, CDSS, YMRS and YBOCS checklist.

RESULTS

Factor analysis of PANSS yielded 3 factor structure (positive, negative, anxiety). When the items of CDSS were added to the PANSS items, total number of factors increased to 4 with depression emerging as a separate factor. Addition of YMRS to PANSS and CDSS led to emergence of 5 factor model. Further addition of YBOCS checklist led to emergence of a 7 factor model (positive, depressive, obsessive compulsive, negative, manic, anxiety and obsessive compulsive-2), which explained 49.85% variance of the data. Positive symptoms emerged as the factor-1. Depressive symptoms loaded on the factor-2, negative symptoms loaded on to factor-4, manic symptoms loaded onto factor-5 and anxiety symptoms loaded onto factor-6. OC symptoms loaded onto factor 3 and 7.

CONCLUSIONS

Present study suggests that when multiple scales are used for assessment of various symptoms of schizophrenia, the symptoms separate out into 7 factors. This finding suggests that clinical assessment of schizophrenia should not be limited to core psychotic symptoms only and structured instruments must be used to elicit other symptoms too while monitoring the clinical picture of patients with schizophrenia.

摘要

目的

通过使用阳性和阴性症状量表(PANSS)、卡尔加里抑郁评定量表(CDSS)、Young 躁狂评定量表(YMRS)和 YBOCS 检查表评估精神分裂症患者的症状谱,进行因素分析。

方法

对 181 例精神分裂症患者进行 PANSS、CDSS、YMRS 和 YBOCS 检查表评估。

结果

PANSS 的因素分析得出 3 个因素结构(阳性、阴性、焦虑)。当 CDSS 的项目被添加到 PANSS 项目中时,总因子数增加到 4 个,抑郁成为一个单独的因子。将 YMRS 添加到 PANSS 和 CDSS 中导致出现 5 因素模型。进一步添加 YBOCS 检查表导致出现 7 因素模型(阳性、抑郁、强迫性、阴性、躁狂、焦虑和强迫性-2),该模型解释了 49.85%的数据方差。阳性症状成为第 1 个因素。抑郁症状加载在第 2 个因素上,阴性症状加载在第 4 个因素上,躁狂症状加载在第 5 个因素上,焦虑症状加载在第 6 个因素上。OC 症状加载在第 3 个和第 7 个因素上。

结论

本研究表明,当使用多个量表评估精神分裂症的各种症状时,症状会分离成 7 个因素。这一发现表明,精神分裂症的临床评估不应仅限于核心精神病症状,必须使用结构化工具来引出其他症状,同时监测精神分裂症患者的临床情况。

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