对印尼雅加达地区不同种族(爪哇、苏丹及中国)老年人的HVLT及MMSE表现的研究
发布时间:2018-03-18 19:54
本文选题:老年痴呆症 切入点:HVLT 出处:《陕西师范大学》2012年硕士论文 论文类型:学位论文
【摘要】:目标结合使用霍普金斯口头学习测试(HVLT)和简易精神状态检查量表(MMSE),调查特定的量表分界值是否适用于跨文化情境中来自不同种族老年人的轻度痴呆筛查试验,以及调查他们的表现是否受到人口统计变量如年龄、性别和教育的影响。 方法使用横向研究设计,采用访问健康中心、护理院,及上门调查的抽样技术从雅加达城市地区征集217名来自于混合种族的老年人(爪哇(n=141)、苏丹(n=51)和中国(n=25))参与调查。 使用方差分析评估人口统计变量(年龄、性别、受教育程度和族裔)与HVLT和MMSE得分之间的关系。采用逻辑回归调查HVLT和MMSE特定分界值与年龄、性别、教育、种族及痴呆诊断的相关关系。采用线性回归分析人口因素(年龄、性别、受教育程度以及族裔)对参与者HVLT及MMSE表现的解释和预测。 结果种族差异在HVLT回忆表现中呈非显著性水平(延迟记忆(DR)p=0.65;瞬时记忆(IR)p=0.43)。然而在经过对参与者年龄(p0.001)及受教育水平(p0.001)数据矫正后,MMSE得分呈现显著的种族差异,但是这一差异的原因已被中国裔参与者的平均较高的年龄以及小样本容量解释。此外,虽然性别未在MMSE得分中显现显著差异(p=0.21),教育水平和性别之间却表现出强烈的交互作用(p=0.04)。这或许暗示了在低教育族群(从未接受过正式教育)中,女性的MMSE表现比男性更好。但是,在得分低于分界值(存在患老年痴呆症的风险)的参与者种族中,种族和性别并不具备很好的预测效果,而参与者的年龄和受教育水平在老年痴呆症的预测中起了最为关键的作用。 结论年龄、性别和教育水平是老人在MMSE中表现的显著预测指标。作为一种适用于不同种族的轻度痴呆症筛查工具及老年性痴呆/阿尔茨海默症(Alzheimer's Disease,AD)临床诊断的一部分,建议将HVLT和MMSE组合适用以获得更高的敏感度和特异度。然而,考虑到不同文化背景的限制,此工具需要进一步校订以适应中国人口老龄化的趋势及受教育程度普遍较低的现状。
[Abstract]:Objective to investigate whether the specific threshold values were applicable to mild dementia screening trials in cross-cultural settings in elderly people of different races, using the Hopkins Oral Learning Test (HVLTT) and the MMSEI Mental State Test (MMSEN), a combination of the Hopkins Oral Learning Test (HST) and the simple Mental State Test (MMSE). And investigate whether their performance is affected by demographic variables such as age, sex, and education. Methods A cross-sectional study design was used to collect 217 elderly people from the urban areas of Jakarta by visiting health centers, nursing homes, and door-to-door surveys. ANOVA was used to assess the relationship between demographic variables (age, sex, educational attainment and ethnicity) and HVLT and MMSE scores. Correlation between race and dementia diagnosis. Linear regression analysis was used to analyze and predict the HVLT and MMSE performance of participants by using population factors (age, sex, education and ethnicity). Results ethnic differences were not significant in HVLT memory (delayed memory 0.65; transient memory 0.43). However, there were significant racial differences after correction of age and educational level (p 0.001). But the difference has been explained by the average age of Chinese participants and the size of small samples. Although gender did not show significant differences in MMSE scores, there was a strong interaction between education level and gender. This may suggest that in lower-education groups (never received formal education), Women performed better on MMSE than men. However, race and gender did not have a good predictive effect in participants who scored below the threshold (there was a risk of Alzheimer's disease). The age and level of education played a key role in predicting Alzheimer's disease. Conclusion Age, sex and education level are significant predictors of MMSE in the elderly. It is a part of the clinical diagnosis of Alzheimer's disease and Alzheimer's disease as a screening tool for mild dementia in different races and Alzheimer's disease. It is suggested that the combination of HVLT and MMSE be applied to obtain higher sensitivity and specificity. However, in view of the limitations of different cultural backgrounds, this tool needs to be further revised to adapt to the trend of aging population in China and the current situation of generally low education level.
【学位授予单位】:陕西师范大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:R749.1
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