Trajectory and variability characterization of the Montreal cognitive assessment in older adults

老年人蒙特利尔认知评估的轨迹和变异性特征

阅读:1

Abstract

BACKGROUND: The Montreal cognitive assessment (MoCA) has become one of the most widely used cognitive screening instruments since its initial publication. To date, only a handful of studies have explored longitudinal characteristics of the MoCA. AIM: The aim of this study is to characterize the trajectory of MoCA performance across a broad age continuum of older adults. METHODS: Data from 467 cognitively normal participants were used in this analysis. The sample was grouped into four strata based on the participants' age at baseline (60-69, 70-79, 80-89, and 90-99). Mixed model repeated measures (MMRM) analysis and mixed-effects spline models were used to characterize the trajectory of MoCA scores in each age stratum and in the entire sample. Intrasubject standard deviation (ISD) was used to characterize the natural variability of individual MoCA performance over time. RESULTS: The ISD values for each of the age strata indicated that year-to-year individual variation on the MoCA ranged from zero to three points. MMRM analysis showed that the 60-69 stratum remained relatively stable over time while the 70-79 and 80-89 strata both showed notable decline relative to baseline performance. The mixed-effects spline model showed that MoCA performance declines linearly across the older adult age span. DISCUSSION: Among cognitively normal older adults MoCA performance remains relatively stable over time, however across the older adult age-span MoCA performance declines in a linear fashion. These results will help clinicians better understand the normal course of MoCA change in older adults while researchers may use these results to inform sample size estimates for intervention studies. CONCLUSION: This study provides an enhanced view of the MoCA's intraindividual trajectory in normal elderly aged 60 and older.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。