Daily matching of activity and body temperature from wearables may predict future disease and death risk

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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