基于潜变量增长曲线模型的阿尔茨海默病健康相关生命质量动态变化研究

发布时间：2018-06-19 21:28

本文选题：潜变量增长曲线模型 + 阿尔茨海默病　；参考：《中国卫生统计》2014年01期

【摘要】：目的将阿尔茨海默病(Alzheimer's disease,AD)进程中的疾病状态和生命质量相结合,探讨阿尔茨海默病健康相关生命质量随疾病状态转移的动态变化规律。方法针对3次随访的纵向资料,以认知正常老化为状态1、轻度认知损害为状态2、中重度认知损害为状态3、阿尔茨海默病为状态4,采用潜变量增长曲线模型,研究AD进程中健康相关生命质量随状态转移的动态变化规律。结果总的来说,初始状态平均生命质量为29.9,处于一般水平,并且存在显著的个体差异;在随访期内,生命质量有先升后降的趋势,但变化速度却不存在显著的个体间差异,而且初始时生命质量的高低与后来的变化速度之间相关不显著。各个状态转移组初始状态生命质量存在着显著的差异,状态2→状态3和状态3→状态4这两个转移组生命质量有明显的先升后降趋势,而且前者升高要较后者明显,生命质量的发展速度存在显著的个体间差异。状态1→状态2和状态3→状态2这两个转移组均未达到显著水平。结论应根据AD进程中不同认知转归结局各自的发展变化,开展疾病分阶段重点防治。潜变量增长模型在纵向研究中考虑到数据个体间差异,在应用中显示出其特有的优势。
[Abstract]:Objective to study the dynamic changes of health-related quality of life (QOL) associated with Alzheimer's disease (AD) by combining disease status and quality of life (QOL) in Alzheimer's disease (AD). Methods according to the longitudinal data of 3 follow-up, cognitive normal aging as state 1, mild cognitive impairment as state 2, moderate and severe cognitive impairment as state 3, Alzheimer's disease as state 4, and latent variable growth curve model were used. To study the dynamic changes of health-related quality of life with state transition in AD process. Results in general, the average quality of life in the initial state was 29.9, which was at the average level, and there were significant individual differences. During the follow-up period, the quality of life increased first and then decreased, but there was no significant difference in the rate of change between individuals. Moreover, there was no significant correlation between the quality of life at the beginning and the rate of change later. There were significant differences in the initial state quality of life between each state transfer group. The quality of life of the two transfer groups, state 2 and state 3, increased first and then decreased, and the former increased more obviously than the latter. There are significant individual differences in the rate of development of quality of life. Neither state 1 nor state 3 were significant. Conclusion according to the development and change of different cognitive outcome in AD process, the prevention and treatment of disease should be carried out in stages. The latent variable growth model takes into account the differences between individuals in the longitudinal research and shows its unique advantages in application.
【作者单位】：山西医科大学数学教研室;山西医科大学卫生统计学教研室;
【基金】：国家自然科学基金(81373106) 山西省国际科技合作计划项目(2012081047) 山西省留学回国人员科技活动择优项目
【分类号】：R749.16

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