Evidence mapPaperPMID 39349356Full record

ArticleJournal of sleep research2025

Associations of polysomnographic measures of obstructive sleep apnea, and nocturnal oxygen saturation with incident type 2 diabetes mellitus in middle-aged and older men.

Sarah L Appleton, Ganesh Naik, Duc Phuc Nguyen, Barbara Toson, Bastien Lechat, Kelly Loffler, Peter G Catcheside, Andrew Vakulin, Sean A Martin, Gary A Wittert and 1 more

Abstract read
In one paragraph

Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Sarah L AppletonFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.ORCID 0000-0001-7292-9714
Ganesh NaikFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.
Duc Phuc NguyenFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.
Barbara TosonFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.
Bastien LechatFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.ORCID 0000-0003-0760-0714
Kelly LofflerFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.
Peter G CatchesideFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.
Andrew VakulinFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.ORCID 0000-0002-3919-1313
Sean A MartinFreemasons Centre for Male Health and Wellbeing, Level 7, South Australian Health and Medical Research Institute (SAHMRI), Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Gary A WittertFreemasons Centre for Male Health and Wellbeing, Level 7, South Australian Health and Medical Research Institute (SAHMRI), Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Robert J AdamsFlinders Health and Medical Research Institute-- Sleep Health (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.

Funding

Freemasons Centre for Male Health and WellbeingHospital Research FoundationNational Heath and Medical Research Council of Australia 1122342National Heath and Medical Research Council of Australia 627227
6 · The paper itself

Abstract

Obstructive sleep apnea (OSA) has been associated with incident type 2 diabetes mellitus (T2DM); however, few prospective epidemiological studies have accounted for important T2DM predictors including pre-diabetes status and testosterone. Participants in the longitudinal Men Androgens Inflammation Lifestyles Environment and Stress (MAILES) study, who underwent eight-channel home-based polysomnography (PSG) in 2010-2011 (n = 824) and were free of diabetes at baseline were included in the analysis (n = 682). From 2015 to 2021, 78.6% (n = 536) completed at least one follow-up assessment. Incident T2DM was determined by self-reported doctor diagnosis, diabetes medications, plasma glucose (fasting ≥7.0 mmol/L or random ≥11.0 mmol/L) or glycated haemoglobin ≥6.5%. Conservative hierarchical Poisson regression models adjusted associations of PSG metrics (categorical and continuous) for age, waist circumference, baseline fasting glucose and testosterone concentrations. In all, 52 men (9.7%) developed T2DM over a mean (range) of 8.3 (3.5-10.5) years. Significant age- and waist circumference-adjusted association of incident T2DM with rapid eye movement (REM) sleep apnea-hypopnea index (AHI) ≥20 events/h (incidence rate ratio [IRR] 1.5, 95% confidence interval [CI] 0.8-2.8; p = 0.23] and highest quartile of delta index (IRR 2.1, 95% CI 0.95-4.6; p = 0.066) were attenuated after adjustment for baseline glucose and testosterone, and the association with the lowest quartile of mean oxygen saturation persisted (IRR 4.2, 95% CI 1.7-10.3; p = 0.029). Categorical measures of AHI severity, oxygen desaturation index, and hypoxia burden index (HBI) were not independently associated with incident T2DM. Associations with T2DM were similar when continuous PSG variables were used; however, HBI was significant (IRR 1.015, 95% CI 1.006-1.024; p = 0.007). In a sub-sample with OSA treatment data (n = 479), these significant associations persisted after excluding adequately treated OSA (n = 32). Understanding underlying OSA endotypes generating hypoxaemia may identify opportunities for diabetes prevention.

Indexed as

Diabetes Mellitus, Type 2Oxygen SaturationPolysomnographySleep Apnea, ObstructiveAgedHumansIncidenceLongitudinal StudiesMaleMiddle AgedProspective StudiesTestosteroneTestosteronediabetes mellitusepidemiologymensleep apnea, obstructive

Identifiers

PMID39349356
PMCPMC12069753

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.