Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk
Year: 2026
Type: article
Abstract: ABSTRACT Circadian rhythms coordinate physiology with the 24 h light‐dark cycle, and their disruption contributes to diseases spanning metabolic, cardiovascular, and neuropsychiatric domains. Whether the temporal coherence between wearable‐derived activity and temperature rhythms predicts long‐term health outcomes in free‐living humans remains unknown. Here, analyzing week‐long concurrent wrist‐worn acceleration and device temperature recordings from approximately 90,000 UK Biobank participants (median age 63 years), we decompose the circular cross‐correlation between behavioral and device temperature signals into three alignment features, including 24 h coupling strength (M 24 ), phase deviation from expected antiphase (D 24 ), and 12 h harmonic magnitude (M 12 ). Over 7–11 years of prospective follow‐up, higher M 24 is associated with lower risk of type 2 diabetes, cardiovascular disease, depression, sleep apnea, and all‐cause mortality, whereas higher D 24 is associated with increased cardiometabolic risk. Higher M 12 was associated with a lower risk of gastrointestinal and psychiatric conditions. Technical replication in the SHARE cohort supported the portability of the feature‐extraction framework across device protocols. These findings highlight wearable‐derived cross‐domain diurnal alignment as a scalable, prospective predictor of disease risk, with potential implications for population health surveillance.
Source: Advanced Science
DOI: 10.1002/advs.76217
Language: English
Subfield: Endocrine and Autonomic Systems
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,730
Awards: Social Sciences & Humanities Open Cloud, Multinational Advancement of Research Infrastructures on Ageing, G1178032220, G1237079599, G1291135678, G1330667123, G1397107050, G1398022599, G1428006373, G1537099751, G1565542540, G1608581485, G1639777389, G1708035608, G1750703574, G1756054413, G1778268290, G1781191216, G1817814383, G1820526844, G2019724928, G2077389594, G2343781458, G24207250, G2465118858, G2496819784, G2521976690, G2576676356, G2593358879, G2841052746, G2881429984, G288447808, G3166864496, G323020161, G3253759911, Achieving world-class standards in all SHARE countries, G3361099077, G3440788226, G3457581384, G3497955178, G352270758, G3654244103, G3687180791, G3784121119, HEALTH AND ECONOMIC STATUS IN OLDER POPULATIONS, G4096536797, G4165969582, RAND Center for the Study of Aging, G4290142911, Upgrading the Survey of Health, Ageing and Retirement in Europe – preparatory phase, G4545110052, G4569152855, G4587185496, Cohesion in further developing and innovating SHARE across all 28 member countries, G4723430573, G4847675667, G486354615, HRS Minority Sample Expansion Competitive Revision, G5021238699, G503278667, G504669776, G5062201959, G5138836547, Data Service Infrastructure for the Social Sciences and Humanities, G5207492846, G5285467101, G5618942462, Non-intended health, economic and social effects of the COVID-19 epidemic control decisions: Lessons from SHARE (SHARE-COVID19), G5857780965, G6053673296, G6055688980, G6122222817, G6346833705, G6476390097, G6678519423, G6767647029, G6969501727, G6978085111, Synergies for Europe's Research Infrastructures in the Social Sciences, G751768989, DEVELOPING AN ISRAELI VERSION OF THE HRS/SHARE PROJECT, Enhancing the Comparability of SHARE with HRS and ELSA, G786570015, G8072554765, G8553071250, G859642178, G8677177991, Longitudinal Enhancement and Access imProvement of the SHARE infrastructure, G8806983220, G8875743412, G8957671751, Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related Dementias, G920888440, G93458789
OpenAlex ID: W7165143249