Yamada Yukari, Okuda Tadahisa, Uchida Tomoe, Ikenoue Tatsuyoshi, Fukuma Shingo
Health Data Implementation Science, Fukuma Research Group, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Department of Health Data Science, Tokyo Medical University, Tokyo, Japan.
NPJ Aging. 2024 Sep 6;10(1):40. doi: 10.1038/s41514-024-00167-z.
Early detection of cognitive decline is essential for timely intervention and effective management of age-related impairments. We monitored repetitive reaction times to a simple task on senior-friendly tablet computers among 72 functionally independent older adults, with a mean age of 82, ranging up to 100 years, within natural settings over two years. Functional principal component analyses revealed a consistent decrease in reaction time in line with their task experience among those without subjective cognitive decline. Conversely, individuals reporting subjective cognitive decline showed no consistent trend and exhibited wide variability over time. These distinctive reaction time trajectories in very old adults suggest the potential for monitoring as a non-invasive, convenient method for early detection of cognitive impairment.
认知能力下降的早期检测对于及时干预和有效管理与年龄相关的损伤至关重要。我们在两年的自然环境中，对72名功能独立的老年人进行了监测，这些老年人平均年龄为82岁，年龄最大可达100岁，使用对老年人友好的平板电脑执行一项简单任务时的重复反应时间。功能主成分分析显示，在没有主观认知能力下降的人群中，反应时间随着他们的任务经验持续减少。相反，报告有主观认知能力下降的个体没有呈现出一致的趋势，并且随着时间推移表现出很大的变异性。这些非常年长者独特的反应时间轨迹表明，监测有可能成为一种用于早期检测认知障碍的非侵入性、便捷方法。
