Evidence map›Paper›PMID 42331891›Full record

ArticleScientific reports2026

Associations between fat distribution and obstructive sleep apnea severity among individuals with type 2 diabetes: an MRI-based study.

Kim Ahtola, Martin Ulander, Jonas Agholme, Farida Amiri, Pontus Henriksson, Olof Dahlqvist Leinhard, Peter Lundberg, Nils Dahlström, Carl-Johan Carlhäll, Stergios Kechagias and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Kim AhtolaDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.ORCID 0009-0005-3776-6071
Martin UlanderDepartment of Biomedical and Clinical Sciences, Division of Neurobiology, Faculty of Medicine, Linköping University, Linköping, Sweden.
Jonas AgholmeDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.ORCID 0009-0000-2041-943X
Farida AmiriDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Pontus HenrikssonDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.ORCID 0000-0003-2482-7048
Olof Dahlqvist LeinhardDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Peter LundbergCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.ORCID 0000-0001-8661-2232
Nils DahlströmDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Carl-Johan CarlhällCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Stergios KechagiasDepartment of Gastroenterology and Hepatology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Patrik NasrCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Mikael ForsgrenDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Mattias EkstedtCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.ORCID 0000-0002-5590-8601
Fredrik IredahlPrimary Health Care Center Åby, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden. fredrik.iredahl@liu.se.ORCID 0000-0002-4245-7565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstructive Sleep Apnea (OSA) affects 1 billion people globally, with a male-to-female ratio of 2:1. While obesity is a major risk factor, sex differences in fat distribution may influence OSA risk. This study examined the relationship between visceral (VAT), subcutaneous (ASAT), and total abdominal fat (TAAT) and OSA severity in patients with type 2 diabetes (T2DM). We enrolled 164 T2DM patients (97 males, 67 females) from the EPSONIP-Sleep study; 151 had complete MRI and polygraphy data. OSA severity was evaluated by home respiratory polygraphy. Linear regression assessed AHI, logistic regression assessed moderate-to-severe OSA, and the Kruskal-Wallis test compared AHI across VAT-z/ASAT-z strata. In males, VAT, ASAT, and TAAT were associated with AHI in unadjusted analyses (β = 1.3, p = 0.009; β = 1.5, p = 0.010; β = 0.85, p = 0.009, respectively). ASAT (OR = 1.23/L, 95% CI 1.01-1.49, p = 0.049) and TAAT (OR = 1.10/L, 95% CI 1.00-1.22, p = 0.02), but not VAT, were associated with moderate-to-severe OSA. No statistically significant associations were detected in females. Associations were attenuated after BMI adjustment. AHI did not differ across VAT-z/ASAT-z strata (p = 0.430). Sex differences influenced the relationship between fat and OSA severity. In males, abdominal fat volumes were associated with higher OSA severity in unadjusted analyses, but not after BMI adjustment. No statistically significant associations were detected in females. These findings should be interpreted cautiously given the modest sample size.

Indexed as

Body Fat DistributionDiabetes Mellitus, Type 2Sleep Apnea, ObstructiveAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPolysomnographyRisk FactorsSeverity of Illness IndexAbdominal adiposityCentral obesityInsulin resistancePolygraphySex-specific risk factors.Sleep-disordered breathing

Identifiers

PMID42331891
PMCPMC13287766

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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.