Unobtrusive, in-home assessment of older adults' everyday activities and health events: associations with cognitive performance over a brief observation period.
Unobtrusive, in-home assessment of older adults' everyday activities and health events: associations with cognitive performance over a brief observation period.
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DOI：
10.1080/13825585.2021.1917503
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发表时间：
2022-09
期刊：
影响因子：
--
通讯作者：
Hughes A
中科院分区：
文献类型：
--
作者：
Bernstein JPK;Dorociak K;Mattek N;Leese M;Trapp C;Beattie Z;Kaye J;Hughes A
在家中，被动地在较长的时间段(即几个月到几年)实施的不引人注目的措施在检测日常活动的变化方面显示出希望，这可能是老年患者临床上显著认知能力下降的早期迹象。本研究调查了相对较短的数据收集期(3个月)是否可以产生类似的诊断信息。共有91名居住在社区的非痴呆症老年人完成了每周基于计算机的调查，评估与健康有关的事件和活动。一部分参与者戴着健康跟踪器手表，评估日常睡眠和体力活动模式，使用传感器仪器控制的柱子，并记录他们每天使用电脑的频率。所有参与者还在基线时接受了广泛的神经心理测试。与之前的文献相比，电脑使用、睡眠和药物使用的模式相似，数据收集时间更长。更多地使用电脑，包括使用时间和频率，较早的第一次使用和较晚的最后一次使用，都与更好的认知表现有关。传感器测量的睡眠和自我报告的疼痛和独立性(即离家过夜的发生)的某些方面也与更好的认知有关。总体而言，结果表明，即使在这段短暂的监控期内，追踪电脑使用情况和睡眠状况可能是微妙认知能力下降的特别有用的数字生物标记。今后的工作将审查这种关联在更长的数据收集期内是否仍具有重要意义。
In-home, unobtrusive measures administered passively over extended time periods (i.e., months to years) show promise in detecting changes in everyday activities, which may be an early sign of clinically significant cognitive decline in older adulthood. The present study examined whether a comparatively brief data collection period (3 months) may yield similar diagnostic information. A total of 91 community-dwelling older adults without dementia completed weekly computer-based surveys assessing health-related events and activities. A subset of participants wore fitness tracker watches assessing daily sleep and physical activity patterns, used a sensor-instrumented pillbox and had their computer use frequency recorded on a daily basis. All participants also underwent extensive neuropsychological testing at baseline. Similar patterns in computer use, sleep and medication use were noted in comparison to prior literature with more extensive data collection periods. Greater computer use, including duration and frequency of use, earlier first session and later last session, were all associated with better cognitive performance. Some aspects of sensor-measured sleep and self-reported pain and independence (i.e., occurrence of a night spent away from home) were also linked to better cognition. Overall, results indicate that tracking computer use and aspects of sleep may be particularly useful digital biomarkers of subtle cognitive decline even in this brief monitoring period. Future work will examine whether such associations remain significant over a more extended data collection period.
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