Department of Psychology, VA Boston Health Care System, Boston, MA, USA.
Department of Psychology, Palo Alto VA Health Care System, Palo Alto, CA, USA.
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2022 Sep;29(5):781-798. doi: 10.1080/13825585.2021.1917503. Epub 2021 Apr 18.
In-home assessment of everyday activities over many months to years may be useful in predicting cognitive decline in older adulthood. This 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 underwent baseline neuropsychological testing and completed weekly computer-based surveys assessing health-related events/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. 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 and sleep, as well as self-reported pain and independence, were also linked to better cognition. These activities and symptoms may be useful correlates of cognitive function even when assessed over a relatively brief monitoring period.
对日常活动进行数月至数年的居家评估可能有助于预测老年人的认知能力下降。本研究探讨了相对较短的（3 个月）数据采集期是否可以提供类似的诊断信息。共有 91 名无痴呆的社区居住老年人接受了基线神经心理学测试，并每周完成基于计算机的调查，评估与健康相关的事件/活动。一部分参与者佩戴健身追踪器手表来评估日常睡眠和身体活动模式，使用带有传感器的药盒，并每天记录计算机使用频率。与先前具有更长数据采集期的文献相比，计算机使用、睡眠和用药情况的相似模式也得到了注意。更多的计算机使用和睡眠，以及自我报告的疼痛和独立性，也与更好的认知能力相关。即使在相对较短的监测期内进行评估，这些活动和症状也可能是认知功能的有用相关因素。
