Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment.

IF 2.6 3区 心理学 Q3 NEUROSCIENCES
Neuropsychology Pub Date : 2024-11-18 DOI:10.1037/neu0000984
Maureen Schmitter-Edgecombe, Catherine Luna, Brooke Beech, Shenghai Dai, Diane J Cook
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引用次数: 0

Abstract

Objective: 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.

Method: One hundred seventy-four community-dwelling individuals (Mage = 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.

Results: Across all groups, findings indicated an acceptable task adherence rate (> 78%; n = 174) and response rate (> 89%; n = 158 n-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, n-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 n-back measures after four to six posttraining trials and excellent test-retest reliability for total correct after 5 months. Finally, combining n-back and clinical measures improved classification accuracy.

Conclusions: Findings suggest the smartwatch n-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) 2024 APA, all rights reserved).

利用智能手表 n-back 任务和生态瞬间评估,在认知能力下降的连续过程中捕捉日常生活环境中的认知能力。
目的:利用移动技术进行认知测试有助于早期发现认知能力下降。我们采用生态学瞬间评估方法,研究了智能手表n-back任务(1-back)对不同认知能力的成年人的可行性、可靠性和有效性:174名居住在社区的健康老年人、主观认知能力下降者和轻度认知障碍者(Mage = 70.51)完成了神经认知评估电池,并佩戴智能手表7天以上。每天提示参与者在智能手表上完成 4 次 "n-back "任务:在所有组别中,研究结果表明任务坚持率(> 78%;n = 174)和响应率(> 89%;n = 158 n-back分析样本)均可接受。与健康老年人和主观认知能力下降者相比,轻度认知障碍参与者的准确率较低、总正确率较低、初始水平较低,ω²s > .09,这证明了外部有效性。与健康老年人相比,轻度认知障碍组的个体内部变异性更大,但主观认知能力下降组与这两组没有显著差异(ω² = .12)。在判别效度和收敛效度方面,n-back总正确率与执行注意力标准化评估的表现相关,而个体内变异性则与现实世界因素(即情境、日常功能)相关。可靠性评估显示,经过四到六次训练后,n-back 测量结果保持稳定,5 个月后,总正确率的测试-再测试可靠性极佳。最后,N-back和临床测量相结合提高了分类的准确性:研究结果表明,智能手表的n-back任务可用于收集整个认知连续体的认知数据,在日常环境中使用生态瞬时评估的可靠性和有效性已得到证实。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
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来源期刊
Neuropsychology
Neuropsychology 医学-神经科学
CiteScore
4.10
自引率
4.20%
发文量
132
审稿时长
6-12 weeks
期刊介绍: Neuropsychology publishes original, empirical research; systematic reviews and meta-analyses; and theoretical articles on the relation between brain and human cognitive, emotional, and behavioral function.
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