首页> 外文期刊>Fisioterapia e Pesquisa >Equa??o de predi??o para o miniexame do estado mental: influência da educa??o, idade e sexoEcuación de predicción para el mini-examen del estado mental: influencia de la educación, edad y sexo
【24h】

Equa??o de predi??o para o miniexame do estado mental: influência da educa??o, idade e sexoEcuación de predicción para el mini-examen del estado mental: influencia de la educación, edad y sexo

机译:精神状态迷你测验的预测方程:教育,年龄和性别的影响精神状态迷你测验的预测方程:教育,年龄和性别的影响

获取原文
           

摘要

The mini-mental state examination (MMSE) is a screening test used worldwide for identifying changes in the scope of cognition. Studies have shown the influence of education, age and sex in the MMSE score. However, in Brazil, the studies consider only one factor to score it. The aim of this study was to establish a prediction equation for the MMSE. An exploratory cross-sectional study was developed and trained researchers examined participants at the community. The volunteers were evaluated by the MMSE and also by the Geriatric Depression Scale (GDS). The MMSE score was the dependent variable. Age, educational level, sex, and GDS score were the independent variables. Multivariate regression analysis was used to determine the model of best prediction value for MMSE scores. A total of 250 participants aged 20-99 years, without cognitive impairment, were assessed. The educational level, age, and sex explained 38% of the total variance of the MMSE score (p0.0001) and resulted in the following equation: MMSE=23.350+0.265(years of schooling)-0.042(age)+1.323(sex), in which female=1 and male=2. The MMSE scores can be better explained and predicted when educational level, age, and sex are considered. These results enhance the knowledge regarding the variables that influence the MMSE score, as well as provide a way to consider all of them in the test score, providing a better screening of these patients.
机译:迷你精神状态检查(MMSE)是一种筛查测试,在全世界范围内用于识别认知范围的变化。研究表明,受教育程度,年龄和性别对MMSE分数的影响。但是,在巴西,研究仅考虑对它进行评分的一个因素。这项研究的目的是为MMSE建立一个预测方程。进行了探索性横断面研究,训练有素的研究人员对社区的参与者进行了检查。 MMSE和老年抑郁量表(GDS)对志愿者进行了评估。 MMSE得分是因变量。年龄,文化程度,性别和GDS得分是自变量。使用多元回归分析来确定MMSE分数的最佳预测值模型。共评估了250名20-99岁,无认知障碍的参与者。受教育程度,年龄和性别解释了MMSE分数总方差的38%(p <0.0001),并得出以下等式:MMSE = 23.350 + 0.265(受教育年限)-0.042(年龄)+1.323(性别) ),其中女性= 1,男性= 2。考虑到教育程度,年龄和性别,可以更好地解释和预测MMSE分数。这些结果增强了有关影响MMSE评分的变量的知识,并提供了一种在测试评分中考虑所有变量的方法,从而更好地筛查了这些患者。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号