Schmitter-Edgecombe Maureen, Luna Catherine, Beech Brooke, Dai Shenghai, Cook Diane J
Department of Psychology, Washington State University.
College of Education, Washington State University.
Neuropsychology. 2025 Jan;39(1):28-43. doi: 10.1037/neu0000984. Epub 2024 Nov 18.
Cognitive testing using mobile technologies can assist with early detection of cognitive decline. We use ecological momentary assessment to investigate the feasibility, reliability, and validity of a smartwatch n-back task (1-back) delivered to adults across the cognitive continuum.
One hundred seventy-four community-dwelling individuals ( = 70.51) representing healthy older adults, individuals with subjective cognitive decline, and mild cognitive impairment completed a neurocognitive assessment battery and wore a smartwatch for 7+ days. Participants were prompted 4 times per day to complete an n-back task on the smartwatch.
Across all groups, findings indicated an acceptable task adherence rate (> 78%; = 174) and response rate (> 89%; = 158 -back analysis sample). Supporting external validity, participants with mild cognitive impairment were less accurate, had fewer total correct responses, and performed at lower initial levels than both healthy older adults and subjective cognitive decline, ω²s > .09. Intraindividual variability was greater for the mild cognitive impairment group compared to healthy older adults, but subjective cognitive decline did not differ significantly from either group, ω² = .12. For discriminant and convergent validity, -back total correct correlated with performance on standardized assessments of executive attention, whereas intraindividual variability correlated with real-world factors (i.e., context, everyday function). Reliability assessment revealed stability for -back measures after four to six posttraining trials and excellent test-retest reliability for total correct after 5 months. Finally, combining -back and clinical measures improved classification accuracy.
Findings suggest the smartwatch -back task is feasible for collecting cognitive data across the cognitive continuum with demonstrated reliability and validity in the everyday environment using ecological momentary assessment. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
使用移动技术进行认知测试有助于早期发现认知衰退。我们采用生态瞬时评估法,研究向处于认知连续体不同阶段的成年人提供的智能手表n-back任务(1-back)的可行性、可靠性和有效性。
174名社区居住个体(平均年龄 = 70.51岁),包括健康老年人、主观认知衰退个体和轻度认知障碍患者,完成了一套神经认知评估测试,并佩戴智能手表7天以上。参与者每天被提示4次,在智能手表上完成n-back任务。
在所有组中,结果表明任务依从率可接受(> 78%;n = 174),反应率较高(> 89%;n = 158为1-back分析样本)。支持外部效度的是,与健康老年人和主观认知衰退个体相比,轻度认知障碍参与者的准确性较低,总正确反应较少,初始水平较低,ω² > .09。与健康老年人相比,轻度认知障碍组的个体内变异性更大,但主观认知衰退组与两组中的任何一组相比均无显著差异,ω² = .12。对于区分效度和聚合效度,1-back总正确数与执行注意力标准化评估的表现相关,而个体内变异性与现实世界因素(即情境、日常功能)相关。可靠性评估显示,在训练后进行四到六次试验后,1-back测量具有稳定性,5个月后总正确数的重测信度极佳。最后,结合1-back和临床测量提高了分类准确性。
研究结果表明,智能手表1-back任务对于在认知连续体上收集认知数据是可行的,通过生态瞬时评估在日常环境中具有可靠的信度和效度。(PsycInfo数据库记录(c)2025美国心理学会,保留所有权利)