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Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk
Daily matching of activity and body temperature from wearables may predict future disease and death risk
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Abstract
Analyzing data from approximately 90,000 UK Biobank participants revealed significant associations between wearable-derived activity and temperature rhythms and long-term health outcomes.
- Higher coupling strength between activity and temperature rhythms is associated with a lower risk of type 2 diabetes, cardiovascular disease, depression, sleep apnea, and all-cause mortality.
- Greater phase deviation from expected antiphase is linked to an increased risk of cardiometabolic issues.
- Increased coupling strength is associated with a reduced risk of gastrointestinal and psychiatric conditions.
- Technical replication of the analysis in the SHARE cohort confirms the applicability of the feature-extraction method across different devices.
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