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Educational level and its Association with the domains of the Montreal Cognitive Assessment Test

机译:教育水平及其与蒙特利尔认知评估测试领域的关联

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Objective: To explore the association between educational level and the scores obtained in each of the domains of the Montreal Cognitive Assessment test. Methods: This is a secondary analysis of the SABE/2012 Bogota survey; a cross-sectional study including 2000 subjects aged >= 60years. The MoCA test was the dependent variable and was stratified by cognitive domains, incorrect answers and scores were considered. Educational level was assessed through years of formal education. Age, sex and selected medical conditions were also included to adjust the multivariate models. Bivariate analyses, fitted logistic and linear regression models were employed for analyzing association between these variables. Results: The proportion of incorrect answers increased as schooling years decreased and as age increased. In the multivariate analysis, visuospatial and executive function were the most affected domains. Educational level displayed less influence than age on short memory-recall task (standardized beta 0.19 vs -0.24). Educational level showed a greater influence than age on no-memory tasks (the sum of all other domains; standardized beta 0.50 vs -0.29). Conclusions: It seems logical to consider that performance in most domains of the MoCA is influenced by years of education. Therefore, low scores on these tasks could lead to low total MoCA scores and thus to bias and over diagnosis of cognitive impairment in patients with lower educational levels. Memory-recall domain is not affected much by education and applying it separately could be useful in patients with low educational level in whom we suspect memory impairment.
机译:目的:探讨教育水平与蒙特利尔认知评估试验中每个领域获得的分数之间的关联。方法:这是SABE / 2012波哥大调查的二级分析;横截面研究,包括2000名患者= 60年代的2000名受试者。 MOCA测试是依赖变量,通过认知域分层,考虑不正确的答案和分数。通过多年的正规教育评估教育水平。还包括年龄,性别和所选医疗条件以调整多变量模型。用于分析这些变量之间的关联的拟合分析,拟合物流和线性回归模型。结果:随着学校教育年增加而增加的答案的比例下降,随着年龄的增加。在多变量分析中,探索和执行功能是受影响最大的域。教育级别显示在短记忆召回任务(标准化Beta 0.19 VS -0.24)上的年龄较少。教育水平显示出比无记忆任务的年龄更大的影响(所有其他领域的总和;标准化的Beta 0.50 Vs -0.29)。结论:考虑Moca大多数域名的表现似乎是合乎逻辑的,受到多年教育的影响。因此,这些任务的低分可能导致总MOCA分数低,因此对较低教育程度较低的患者的认知障碍的偏差和诊断。记忆召回域不受教育的影响,并且在我们怀疑记忆障碍的低教育水平的患者中,申请它可能是有用的。

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