Evidence map›Paper›PMID 39388339›Full record

ArticleDiabetes care2024

Sleep Irregularity and the Incidence of Type 2 Diabetes: A Device-Based Prospective Study in Adults.

Jean-Philippe Chaput, Raaj Kishore Biswas, Matthew Ahmadi, Peter A Cistulli, Angelo Sabag, Marie-Pierre St-Onge, Emmanuel Stamatakis

Abstract read
In one paragraph

Article in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Sleep loss as a cardiometabolic risk factor: a narrative review of clinical and public health implications.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Review
  3. Article
  4. Review
  5. Sleep and Risk for Heart Disease and Stroke.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  6. Article
  7. Article
  8. Fluctuations in Sleep Duration and Timing and Cardiometabolic Risk.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jean-Philippe ChaputHealthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0002-5607-5736
Raaj Kishore BiswasMackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Matthew AhmadiMackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Peter A CistulliCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Angelo SabagSchool of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Marie-Pierre St-OngeCenter of Excellence for Sleep & Circadian Research and Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
Emmanuel StamatakisMackenzie Wearables Research Hub, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.

Funding

Mechanisms addressing the causal relationships of sleep, circadian rhythms, and cardiometabolic healthR35HL155670 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARIE-PIERRE ST-ONGE · 2021 to 2026
$5.4M
Sleep stability, weight, and glycemic controlR01DK128154 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LAFERRERE, BLANDINE B, ST-ONGE, MARIE-PIERRE · 2021 to 2023
$972k
Australian National Health and Medical Research Council APP1194510NHLBI NIH HHS R35 HL155670NIDDK NIH HHS R01 DK128154
6 · The paper itself

Abstract

objectiveTo prospectively examine the association between device-measured sleep regularity and incidence of type 2 diabetes (T2D) in a population-based sample of adults. We also examined if meeting sleep duration recommendations attenuated or eliminated the effects of irregular sleep on T2D. RESEARCH DESIGN AND

methodsWe conducted a prospective cohort study of adults aged 40-79 years participating in the UK Biobank accelerometer substudy. Participants wore wrist-attached accelerometers for a duration of 7 days, which was used to compute the Sleep Regularity Index (SRI). Participants were categorized as irregular (SRI <71.6), moderately irregular (SRI between 71.6 and 87.3), and regular (SRI >87.3) sleepers. T2D diagnosis was obtained through self-reports and health records.

resultsWe analyzed data from 73,630 individuals observed for 8 years, without a history of T2D and without an event in the first year of follow-up. Compared with regular sleepers, irregular (hazard ratio [HR] 1.38; 95% CI 1.20-1.59) and moderately irregular sleepers (HR 1.35; 95% CI 1.19-1.53) were at higher risk of T2D incidence. Dose-response analyses treating SRI as a continuous measure showed higher T2D incidence with SRI scores <80. Meeting current sleep duration recommendations did not counteract the adverse effects of irregular (HR 1.35; 95% CI 1.09-1.66) or moderately irregular (HR 1.29; 95% CI 1.08-1.54) sleep on T2D incidence.

conclusionsModerate and high sleep irregularity were deleteriously associated with T2D risk, even in participants who slept ≥7 h per night. Future sleep interventions will need to pay more attention to consistency in bedtimes and wake-up times, in addition to sleep duration and quality.

Indexed as

Diabetes Mellitus, Type 2AccelerometryAdultAgedFemaleHumansIncidenceMaleMiddle AgedProspective StudiesSleepSleep Wake Disorders

Identifiers

PMID39388339
PMCPMC12328258

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.