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

Author

Listed:
  • Thomas G. Brooks

    (University of Pennsylvania Perelman School of Medicine)

  • Nicholas F. Lahens

    (University of Pennsylvania Perelman School of Medicine)

  • Gregory R. Grant

    (University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine)

  • Yvette I. Sheline

    (University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine)

  • Garret A. FitzGerald

    (University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine)

  • Carsten Skarke

    (University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine)

Abstract

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

Suggested Citation

  • Thomas G. Brooks & Nicholas F. Lahens & Gregory R. Grant & Yvette I. Sheline & Garret A. FitzGerald & Carsten Skarke, 2023. "Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40977-5
    DOI: 10.1038/s41467-023-40977-5
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    References listed on IDEAS

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    1. Harry R Kennard & Gesche M Huebner & David Shipworth & Tadj Oreszczyn, 2020. "The associations between thermal variety and health: Implications for space heating energy use," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-12, July.
    2. Aiden Doherty & Karl Smith-Byrne & Teresa Ferreira & Michael V. Holmes & Chris Holmes & Sara L. Pulit & Cecilia M. Lindgren, 2018. "GWAS identifies 14 loci for device-measured physical activity and sleep duration," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    3. Tae-Won Jang & Hyunjoo Kim & Suk-Hoon Kang & Sang-Hyo Choo & In-Seok Lee & Kyung-Hwa Choi, 2017. "Circadian Rhythm of Wrist Temperature among Shift Workers in South Korea: A Prospective Observational Study," IJERPH, MDPI, vol. 14(10), pages 1-9, September.
    4. Aiden Doherty & Dan Jackson & Nils Hammerla & Thomas Plötz & Patrick Olivier & Malcolm H Granat & Tom White & Vincent T van Hees & Michael I Trenell & Christoper G Owen & Stephen J Preece & Rob Gillio, 2017. "Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-14, February.
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