Gao H, Harris J, Maupin D, Schneider S, Hernandez R, Jin H
School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, 30 Priestley Rd, Guildford, GU2 7YH, UK.
Center for Self-Report Science & Center for Economic and Social Research, University of Southern California, 645 Exposition Blvd, Los Angeles, CA, 90089, USA; Department of Psychology, University of Southern California, 3620 McClintock Ave, Los Angeles, CA, 90089, USA.
Public Health. 2025 Jun 23;246:105822. doi: 10.1016/j.puhe.2025.105822.
Rapid technological advancements and societal shifts have reshaped older adults' daily lives. Emerging evidence suggests that Advanced Activities of Daily Living (AADL)-complex tasks beyond basic Activities of Daily Living (ADL) and Instrumental ADL (IADL)-may signal cognitive impairment earlier than traditional measures. This scoping review aims to identify AADL that could serve as early indicators of cognitive impairment.
Scoping review.
This review followed Arksey and O'Malley's framework and adhered to the PRISMA-ScR guideline. We systematically searched Web of Science, PubMed, and PsycINFO for relevant studies published between 2013 and 2023.
From 16,185 initially identified articles, 45 studies conducted across 11 countries were included after thorough screening and eligibility assessment. These studies examined eight domains of AADL (e.g., digital technology use, social engagement, cultural activities, naturalistic driving), across cognitive impairment stages from mild cognitive impairment (MCI) to dementia. Findings highlighted that frequent engagement in certain leisure, social, and intellectually stimulating activities (e.g., reading, playing board games, volunteering) was consistently associated with a reduced risk of cognitive decline. Digital behavioural indicators (e.g., computer usage patterns, naturalistic driving metrics, survey response times) showed promising predictive potential for early cognitive impairment identification, with several studies reporting good predictive accuracy (e.g., AUC >0.80).
AADL indicators hold promise for early detection and potential prevention of cognitive impairment among older adults. Future research should explore the feasibility, acceptability, and clinical integration of AADL assessments into routine geriatric care and public health practice, particularly in low- and middle-income countries.
快速的技术进步和社会变革重塑了老年人的日常生活。新出现的证据表明,日常生活高级活动(AADL)——超出基本日常生活活动(ADL)和工具性ADL(IADL)的复杂任务——可能比传统测量方法更早地预示认知障碍。本范围综述旨在确定可作为认知障碍早期指标的AADL。
范围综述。
本综述遵循阿克斯西和奥马利的框架,并遵循PRISMA-ScR指南。我们系统地检索了科学网、PubMed和PsycINFO,以查找2013年至2023年期间发表的相关研究。
在初步识别的16185篇文章中,经过全面筛选和资格评估后,纳入了来自11个国家的45项研究。这些研究考察了AADL的八个领域(如数字技术使用、社交参与、文化活动、自然驾驶),涵盖了从轻度认知障碍(MCI)到痴呆的认知障碍阶段。研究结果强调,经常参与某些休闲、社交和智力刺激活动(如阅读、玩棋盘游戏、志愿服务)与认知能力下降风险降低始终相关。数字行为指标(如计算机使用模式、自然驾驶指标、调查响应时间)在早期认知障碍识别方面显示出有前景的预测潜力,多项研究报告了良好的预测准确性(如AUC>0.80)。
AADL指标在早期检测和潜在预防老年人认知障碍方面具有前景。未来的研究应探索将AADL评估纳入常规老年护理和公共卫生实践的可行性、可接受性以及临床整合,特别是在低收入和中等收入国家。