Jun Ha Chang, Yunwen Huang, Ying Zhang, Su Chen, Daniel L Murman, Vaishali Phatak, Matthew Rizzo
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引用次数: 0
Abstract
Introduction: Sleep disturbances are common in older adults, particularly those with cognitive impairment. This study examines how day-to-day sleep quality impacts real-world driving behaviors, offering insight into sleep as a potential functional biomarker of cognitive health.
Methods: We monitored 149 community-dwelling older adults (90 cognitively impaired, 59 unimpaired) over 12 weeks. Sleep was measured via wrist-worn actigraphy, and driving data were collected via an in-vehicle sensor system. A zero-inflated Poisson regression model examined whether sleep efficiency was associated with next-day driving likelihood and frequency, and whether these relationships varied by cognitive status.
Results: Better sleep efficiency increased the likelihood of driving the next day more for cognitively impaired participants than for unimpaired participants. Higher sleep efficiency was associated with increased driving frequency in both groups.
Discussion: These findings underscore the importance of daily sleep variability as a potential digital biomarker for functional abilities in older adults, highlighting opportunities for early intervention to preserve mobility and independence.
Highlights: A 1 standard deviation increase in sleep efficiency increases next-day trip counts (incidence rate ratio = 1.014).In cognitively impaired participants, better sleep lowers the odds of not driving the next day (odds ratio = 0.877).Among those who choose to drive, trip counts do not differ by cognitive status.
期刊介绍：
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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