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Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
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Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
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Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank

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Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
Journal Article

Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank

2023
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Overview
Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which have circadian as well as sleep-wake behavior/environmental evoked components. Here, we investigated the association of wrist temperature amplitudes with a future onset of disease in the UK Biobank one year after actigraphy. Among 425 disease conditions (range n  = 200-6728) compared to controls (range n  = 62,107-91,134), a total of 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature (Benjamini-Hochberg FDR q < 0.05) and 26 (6.1%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05). A two-standard deviation (1.8° Celsius) lower wrist temperature amplitude corresponded to hazard ratios of 1.91 (1.58-2.31 95% CI) for NAFLD, 1.69 (1.53-1.88) for type 2 diabetes, 1.25 (1.14-1.37) for renal failure, 1.23 (1.17-1.3) for hypertension, and 1.22 (1.11-1.33) for pneumonia (phenome-wide atlas available at http://bioinf.itmat.upenn.edu/biorhythm_atlas/ ). This work suggests peripheral thermoregulation as a digital biomarker. Many chronic diseases present with desynchronized sleep-wake cycles, indicative of disrupted biorhythms. Here, the authors propose peripheral thermoregulation as a digital biomarker based on the association between lower temperature rhythms measured from wearable activity trackers with future onset of disease, such as type 2 diabetes, non-alcoholic fatty liver disease, hypertension and pneumonia.