Gugssa Seid Ali, Davey Gail, Ejigu Atalay Alem, Metaferia Guta Zenebe, Medhin Girmay, Kelkile Teshome Shibrie
Department of Neurology, School of Medicine, College of Health Sciences, Addis Ababa University, Ethiopia.
Ethiop Med J. 2011 Jul;49(3):239-47.
Mini-mental state Exam (MMSE) is the most frequently used instrument to test cognitive function in Ethiopia. But there is little or no attempt to interpret the MMSE score in accordance to age and educational level of the individual. The cut off scores developed and used elsewhere may result in falsely high number of screen positives in our setup.
To determine the percentile distribution of MMSE scores and to examine the association between the MMSE score and demographic variables of interest.
Cross sectional survey was made in household inhabitants selected by systematic random sampling at Butajira town, Ethiopia. The MMSE was administered to 1560 subjects through a structured questionnaire. Chi-square test and Spearman's correlation coefficient were used to see the association between the MMSE score and demographic variables of interest. Multinomial logistic regression analysis was done to determine variables that were independent predictors of the MMSE score. The weighted percentile distribution was calculated for those variables that were found to be independent predictors of MMSE sore. The percentile distribution was further customized by age and educational level
The MMSE score showed association with educational level, gender, proficiency in the test language and marital status but only educational status, gender and proficiency in the test language were the independent predictors ofMMSE score on the regression model.
In the Ethiopian setup considerations should be given to the individuals' educational level, gender and proficiency in the test language before interpreting MMSE Score.
简易精神状态检查表（MMSE）是埃塞俄比亚最常用的认知功能测试工具。但几乎没有尝试根据个体的年龄和教育水平来解读MMSE分数。在其他地方制定和使用的临界分数在我们的环境中可能会导致筛查阳性的数量出现错误的高估。
确定MMSE分数的百分位数分布，并检验MMSE分数与相关人口统计学变量之间的关联。
在埃塞俄比亚布塔吉拉镇通过系统随机抽样选取家庭居民进行横断面调查。通过结构化问卷对1560名受试者进行MMSE测试。采用卡方检验和斯皮尔曼相关系数来观察MMSE分数与相关人口统计学变量之间的关联。进行多项逻辑回归分析以确定MMSE分数的独立预测变量。对那些被发现是MMSE分数独立预测变量的变量计算加权百分位数分布。百分位数分布进一步按年龄和教育水平进行定制。
MMSE分数与教育水平、性别、测试语言熟练程度和婚姻状况相关，但在回归模型中，只有教育状况、性别和测试语言熟练程度是MMSE分数的独立预测变量。
在埃塞俄比亚的环境中，在解读MMSE分数之前，应考虑个体的教育水平、性别和测试语言熟练程度。
