{"title":"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。","authors":"Maureen Schmitter-Edgecombe, Catherine Luna, Brooke Beech, Shenghai Dai, Diane J Cook","doi":"10.1037/neu0000984","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Method: </strong>One hundred seventy-four community-dwelling individuals (<i>M</i><sub>age</sub> = 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.</p><p><strong>Results: </strong>Across all groups, findings indicated an acceptable task adherence rate (> 78%; <i>n</i> = 174) and response rate (> 89%; <i>n</i> = 158 <i>n</i>-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, <i>n</i>-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 <i>n</i>-back measures after four to six posttraining trials and excellent test-retest reliability for total correct after 5 months. Finally, combining <i>n</i>-back and clinical measures improved classification accuracy.</p><p><strong>Conclusions: </strong>Findings suggest the smartwatch <i>n</i>-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).</p>","PeriodicalId":19205,"journal":{"name":"Neuropsychology","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment.\",\"authors\":\"Maureen Schmitter-Edgecombe, Catherine Luna, Brooke Beech, Shenghai Dai, Diane J Cook\",\"doi\":\"10.1037/neu0000984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Method: </strong>One hundred seventy-four community-dwelling individuals (<i>M</i><sub>age</sub> = 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.</p><p><strong>Results: </strong>Across all groups, findings indicated an acceptable task adherence rate (> 78%; <i>n</i> = 174) and response rate (> 89%; <i>n</i> = 158 <i>n</i>-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, <i>n</i>-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 <i>n</i>-back measures after four to six posttraining trials and excellent test-retest reliability for total correct after 5 months. Finally, combining <i>n</i>-back and clinical measures improved classification accuracy.</p><p><strong>Conclusions: </strong>Findings suggest the smartwatch <i>n</i>-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).</p>\",\"PeriodicalId\":19205,\"journal\":{\"name\":\"Neuropsychology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuropsychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1037/neu0000984\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuropsychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/neu0000984","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment.
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).
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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