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中年及老年精神分裂症患者纵向神经认知表现的评估:混合模型分析的应用

An evaluation of longitudinal neurocognitive performance among middle-aged and older schizophrenia patients: use of mixed-model analyses.

作者信息

Nayak Savla Gauri, Moore David J, Roesch Scott C, Heaton Robert K, Jeste Dilip V, Palmer Barton W

机构信息

San Diego State University/University of California, San Diego Joint Doctoral, Program in Clinical Psychology, 6363 Alvarado Court, Suite 103, San Diego, CA 92120-4913, USA.

出版信息

Schizophr Res. 2006 Apr;83(2-3):215-23. doi: 10.1016/j.schres.2005.12.851. Epub 2006 Feb 28.

DOI:10.1016/j.schres.2005.12.851
PMID:16507344
Abstract

The purpose of this study was to evaluate the trajectory of neuropsychological performance among middle-aged and older patients with schizophrenia using hierarchical linear modeling (HLM). Using the Mattis Dementia Rating Scale (DRS), we assessed cognitive performance of 143 schizophrenia outpatients (Mean age=53.1 years, SD=8.8) and 66 healthy comparison subjects (Mean age=61.8 years, SD=8.8). All participants had DRS data from two or more testing sessions with average intervals between sessions being 15 months (range=6-55). Using HLM, we found cognitive performance to be stable over time in both schizophrenia patients and healthy comparison subjects. Age, gender, ethnicity, and education did not affect trajectories. We also analyzed the data using more traditional statistical approaches to longitudinal data and found similar results. In sum, we found cognitive impairment to be stable over time among outpatients with schizophrenia, regardless of the statistical methodology used to analyze longitudinal data.

摘要

本研究的目的是使用分层线性模型(HLM)评估中年及老年精神分裂症患者的神经心理表现轨迹。我们使用马蒂斯痴呆评定量表(DRS),评估了143名精神分裂症门诊患者(平均年龄=53.1岁,标准差=8.8)和66名健康对照者(平均年龄=61.8岁,标准差=8.8)的认知表现。所有参与者都有来自两次或更多次测试的数据,测试之间的平均间隔为15个月(范围=6-55个月)。使用HLM,我们发现精神分裂症患者和健康对照者的认知表现在一段时间内都是稳定的。年龄、性别、种族和教育程度并不影响轨迹。我们还使用更传统的纵向数据统计方法分析了数据,得到了类似的结果。总之,我们发现精神分裂症门诊患者的认知障碍在一段时间内是稳定的,无论使用何种统计方法来分析纵向数据。

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