北京大学学报(医学版) ›› 2015, Vol. 47 ›› Issue (3): 443-449. doi: 10.3969/j.issn.1671-167X.2015.03.014

• 论著 • 上一篇    下一篇

简易精神状态量表得分的影响因素和正常值的筛查效度评价

高明月1,杨珉1,2△,况伟宏3,邱培媛1,2   

  1. (1.四川大学华西公共卫生学院流行病与卫生统计学系,成都610041; 2.西部农村卫生发展研究中心,成都610041; 3.四川大学华西医院心理卫生中心,成都610041)
  • 出版日期:2015-06-18 发布日期:2015-06-18

Factors and validity analysis of Mini-Mental State Examination in Chinese elderly people

GAO Ming-yue1,YANG Min1,2△,KUANG Wei-hong3,QIU Pei-yuan1,2   

  1. (1.Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University,Chengdu 610041,China; 2.West China Research Center for Rural Health Development, Chengdu 610041,China; 3.Mental Health Center,West China Hospital of Sichuan University,Chengdu 610041,China)
  • Online:2015-06-18 Published:2015-06-18

摘要: 目的:分析影响简易精神状态量表(Mini-Mental State Examination, MMSE)筛查效度的因素,为建立MMSE得分的常规模型、修正并完善现行MMSE筛查标准提供依据。方法:从中国老年健康影响因素跟踪调查(Chinese Longitudinal Healthy Longevity Survey,CLHLS)队列中得到符合纳入标准的19 117名正常老年人和137名痴呆患者的MMSE测试结果;用工作特征曲线下面积(area under the curve, AUC)及效度指标对比MMSE各类临界值的筛查效度;用多元线性回归比较正常和痴呆人群的MMSE得分的影响因素的差异;描述正常与痴呆老年人MMSE得分随年龄、性别的变化趋势及差别。结果:MMSE量表的AUC值≥0.75(P<0.05);正常人群MMSE得分随年龄增长呈非线性下降(男:R2=0.924, P<0.05;女:R2=0.951, P<0.05);随受教育程度增加呈非线性上升(男:R2=0.948, P<0.05; 女:R2=0.859, P<0.05);女性MMSE平均得分低于同龄男性,且下降速度更快(女性偏回归系数的95%置信区间与男性偏回归系数的95%置信区间不重叠)。不论男女,痴呆老年人的MMSE得分均低于正常老年人(男: Z分数差值:-1.573, P<0.05; 女: Z分数差值:-1.222, P<0.05); MMSE得分随年龄增加下降速度似乎比正常老年人更快(痴呆人群偏回归系数的95%置信区间包含正常人群偏回归系数的95%置信区间)。结论:CLHLS中的MMSE量表筛查效度不受文化程度影响,本研究针对影响MMSE筛查效度的可能因素及其影响程度的探讨得出,性别、年龄、视力和居住地是具有鉴别效度的因素,可作为MMSE量表的辅助工具筛查痴呆人群。

关键词:  , 痴呆, 认知, 精神状态检查表, 筛查效度

Abstract: Objective:To examine factors that may have impact on the Mini-Mental State Examination (MMSE) screening validity, which could lead to further establishing the general model of the MMSE score in Chinese health elderly and to improve the screening accuracy of the existing MMSE reference. Methods: Based on the data of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), the MMSE scores of 19 117 normal elderly and 137 dementia patients who met the inclusion criteria were used for the analysis. The area under the curve (AUC) and validity indexes were used to compare the screening accuracy of various criteria. Multiple linear regression was used to identify factors that had impact on the MMSE score for both the normal and dementia elderly. Descriptive analysis was performed for differences in the MMSE scores by age trends and gender between the normal and dementia elderly. Results: The AUC of MMSE was≥0.75(P<0.05). The MMSE score of the normal elderly declined nonlinearly as the age grew older(male: R2=0.924, P<0.05; female: R2=0.951, P<0.05), and increased nonlinearly as the education level rose(male: R2=0.948, P<0.05; female: R2=0.859, P<0.05). The females had significantly lower MMSE scores than the males, with a faster decline trend with age than the males (95%CI of female partial regression coefficient was not overlapped with 95%CI of male partial regression coefficient). The dementia elderly showed a much lower MMSE score (male: difference of Z score:-1.573, P<0.05; female: difference of Z score:-1.222, P<0.05) and tended to with a faster decline speed than that of the normal elderly (95%CI of dementia partial regression coefficient included 95%CI of normal  partial regression coefficient). Conclusion:The screening validity of MMSE in CLHLS is not affected by educational level. The analysis of factors that may impact on the MMSE screening validity are gender, age, vision and residence which with validity identification. These four factors can be used as assist tool of MMSE in the screening of dementia to improve the screening accuracy.

Key words: Dementia, Cognition, Mental status schedule, Screening validity

中图分类号: 

  • R749.16

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