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计算机化认知训练与认知改善之间的剂量反应关系。

Dose-response relationship between computerized cognitive training and cognitive improvement.

作者信息

Liu Liyang, Wang Haibo, Xing Yi, Zhang Ziheng, Zhang Qingge, Dong Ming, Ma Zhujiang, Cai Longjun, Wang Xiaoyi, Tang Yi

机构信息

Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China.

Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China.

出版信息

NPJ Digit Med. 2024 Aug 15;7(1):214. doi: 10.1038/s41746-024-01210-9.

DOI:10.1038/s41746-024-01210-9
PMID:39147783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11327304/
Abstract

Although computerized cognitive training (CCT) is an effective digital intervention for cognitive impairment, its dose-response relationship is understudied. This retrospective cohort study explores the association between training dose and cognitive improvement to find the optimal CCT dose. From 2017 to 2022, 8,709 participants with subjective cognitive decline, mild cognitive impairment, and mild dementia were analyzed. CCT exposure varied in daily dose and frequency, with cognitive improvement measured weekly using Cognitive Index. A mixed-effects model revealed significant Cognitive Index increases across most dose groups before reaching the optimal dose. For participants under 60 years, the optimal dose was 25 to <30 min per day for 6 days a week. For those 60 years or older, it was 50 to <55 min per day for 6 days a week. These findings highlight a dose-dependent effect in CCT, suggesting age-specific optimal dosing for cognitive improvement.

摘要

尽管计算机化认知训练(CCT)是一种针对认知障碍的有效数字干预措施,但其剂量反应关系尚未得到充分研究。这项回顾性队列研究探讨了训练剂量与认知改善之间的关联,以找到最佳的CCT剂量。2017年至2022年期间,对8709名主观认知下降、轻度认知障碍和轻度痴呆患者进行了分析。CCT的暴露在每日剂量和频率上有所不同,每周使用认知指数测量认知改善情况。混合效应模型显示,在达到最佳剂量之前,大多数剂量组的认知指数都有显著提高。对于60岁以下的参与者,最佳剂量是每周6天、每天25至<30分钟。对于60岁及以上的人,最佳剂量是每周6天、每天50至<55分钟。这些发现突出了CCT中的剂量依赖性效应,表明针对认知改善存在特定年龄的最佳剂量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/49629f0366b7/41746_2024_1210_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/d97ee18e8a9a/41746_2024_1210_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/ef5b0787c6d0/41746_2024_1210_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/5c32ceeaa424/41746_2024_1210_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/49629f0366b7/41746_2024_1210_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/d97ee18e8a9a/41746_2024_1210_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/ef5b0787c6d0/41746_2024_1210_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/5c32ceeaa424/41746_2024_1210_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f81/11327304/49629f0366b7/41746_2024_1210_Fig4_HTML.jpg

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