Evidence map›Paper›PMID 37620332›Full record

ArticleNature communications2023

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

Thomas G Brooks, Nicholas F Lahens, Gregory R Grant, Yvette I Sheline, Garret A FitzGerald, Carsten Skarke

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
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  5. A Fully Self-Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. HairTime: A noninvasive assay for estimating circadian phase from a single hair sample.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Quantifying Sleep-Wake Rhythms in the Hospital Environment with Digital Technologies.medRxiv : the preprint server for health sciences · 2025
    Article
  10. Article
  11. Article
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  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Thomas G BrooksInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. thobr@sas.upenn.edu.ORCID http://orcid.org/0000-0002-6980-0079
Nicholas F LahensInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Gregory R GrantInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Yvette I ShelineDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-6929-9659
Garret A FitzGeraldInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-5885-6819
Carsten SkarkeInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. cskarke@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0001-5145-3681

Funding

Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Dimensional connectomics of anxious miseryU01MH109991 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHELINE, YVETTE I · 2016 to 2019
$2.8M
STRESS AND INFLAMMATION IN THE PATHOPHYSIOLOGY OF LATE-LIFE DEPRESSIONR01MH098260 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHELINE, YVETTE I · 2013 to 2018
$2.4M
Integrative Training in the Neurocircuitry of Affective DisordersT32MH106442 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHELINE, YVETTE I · 2016 to 2020
$1.1M
NCATS NIH HHS UL1 TR000003NIMH NIH HHS R01 MH098260NIMH NIH HHS T32 MH106442NIMH NIH HHS U01 MH109991
6 · The paper itself

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 < 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.

Indexed as

Biological Specimen BanksDiabetes Mellitus, Type 2Circadian RhythmHumansTemperatureUnited KingdomWrist

Identifiers

PMID37620332
PMCPMC10449859

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.