在两个不同的观察队列中,自由生活的腕部和髋部加速度测量可预测无痴呆症的老年人在 1 年或 5 年内的认知能力下降情况。

Chengjian Shi, Niser Babiker, Jacek K Urbanek, Robert L Grossman, Megan Huisingh-Scheetz, Andrey Rzhetsky
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引用次数: 0

摘要

随着≥65 岁成年人数量的增加,预计未来 30 年主要神经认知障碍的发病率将上升。无创筛查能够识别出最有可能出现认知功能衰退的人群,从而引发更密切的监测和预防策略。在这项研究中,我们使用自由生活加速度数据,通过两个队列来预测没有痴呆症的老年人在 1 年或 5 年内的认知能力下降情况。第一个队列在芝加哥南部招募,连续 7 天佩戴臀部加速度计。使用髋部数据的分类器模型预测 1 年认知能力下降的准确率超过 85%,使用腕部数据的分类器模型预测 5 年认知能力下降的准确率接近 70%,与单纯的人口统计学和合并症相比有显著改善。所提出的模型很容易转化为服务于老龄人口的临床实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts.

Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts.

Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts.

Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts.

The prevalence of major neurocognitive disorders is expected to rise over the next 3 decades as the number of adults ≥65 years old increases. Noninvasive screening capable of flagging individuals most at risk of subsequent cognitive decline could trigger closer monitoring and preventive strategies. In this study, we used free-living accelerometry data to forecast cognitive decline within 1- or 5-years in older adults without dementia using two cohorts. The first cohort, recruited in the south side of Chicago, wore hip accelerometers for 7 continuous days. The second cohort, nationally recruited, wore wrist accelerometers continuously for 72 h. Separate classifier models forecasted 1-year cognitive decline with over 85% accuracy using hip data and forecasted 5-year cognitive decline with nearly 70% accuracy using wrist data, significant improvements compared to demographics and comorbidities alone. The proposed models are readily translatable to clinical practices serving ageing populations.

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