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人口统计学因素对精神分裂症患者的功能能力和日常功能结局的影响。

The influence of demographic factors on functional capacity and everyday functional outcomes in schizophrenia.

机构信息

Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA.

出版信息

J Clin Exp Neuropsychol. 2012;34(5):467-75. doi: 10.1080/13803395.2011.651102. Epub 2012 Jan 25.

Abstract

Patients with schizophrenia have impaired everyday living and social outcomes. Performance-based measures, including neuropsychological (NP) performance and functional capacity (FC) measures have demonstrated usefulness in predicting these outcomes. We examined the correlation of demographic factors (race, age, and education) and FC measures, and the relative ability of NP performance, FC, and demographic factors to predict real-world outcomes in social, vocational, and residential domains in 194 outpatients with schizophrenia. Age, education, sex, and racial status were significantly, but modestly, associated with performance-based measures of everyday functioning, while, in addition, age and education had a similar modest relationship with social competence. Age, but none of the other demographic variables, contributed to the prediction of all three domains of everyday functioning. Functional capacity variables predicted everyday outcomes even when demographic variables were entered into a predictive equation first. These data suggest a similar and modest but detectable effect of demographic factors on performance-based measures of functional capacity as seen with NP performance in schizophrenia populations. Older age contributed to poorer everyday functioning even after consideration of functional capacity, which seems similar to findings in healthy populations without clinically notable cognitive decline.

摘要

精神分裂症患者的日常生活和社会结局受损。基于表现的测量,包括神经心理学(NP)表现和功能能力(FC)测量,已证明在预测这些结果方面具有有用性。我们研究了人口统计学因素(种族、年龄和教育)和 FC 测量之间的相关性,以及 NP 表现、FC 和人口统计学因素在预测 194 名精神分裂症门诊患者的社会、职业和居住领域的真实世界结果方面的相对能力。年龄、教育、性别和种族状况与日常功能的基于表现的测量显著相关,但程度较轻,而年龄和教育与社会能力也有类似的适度关系。年龄,但没有其他人口统计学变量,对所有三个日常功能领域的预测都有贡献。功能性能力变量预测日常结果,即使在首先将人口统计学变量输入预测方程的情况下也是如此。这些数据表明,人口统计学因素对精神分裂症人群中基于表现的功能性能力测量的影响与 NP 表现相似且适度,但可检测。年龄较大与较差的日常功能有关,即使考虑到功能能力也是如此,这与没有明显认知能力下降的健康人群中的发现相似。

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