Evidence map›Paper›PMID 39921528›Full record

ArticleEuropean journal of clinical investigation2025

Body composition markers are more strongly associated with type 2 diabetes than inflammatory markers-Results from the study of health in Pomerania.

Saima Bibi, Muhammad Naeem, Sabine Schipf, Martin Bahls, Marcus Dörr, Nele Friedrich, Matthias Nauck, Robin Bülow, Henry Völzke, Marcello Ricardo Paulista Markus and 1 more

Abstract read
In one paragraph

Article in European journal of clinical investigation, 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. Review
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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.

Saima BibiInstitute for Community Medicine - Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0002-5327-9549
Muhammad NaeemInstitute for Community Medicine - Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Sabine SchipfInstitute for Community Medicine - Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Martin BahlsDepartment of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany.
Marcus DörrDepartment of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany.
Nele FriedrichGerman Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
Matthias NauckGerman Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
Robin BülowInstitute for Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany.
Henry VölzkeInstitute for Community Medicine - Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Marcello Ricardo Paulista MarkusGerman Center for Diabetes Research (DZD) Partner Site Greifswald, Greifswald, Germany.
Till IttermannInstitute for Community Medicine - Department SHIP/ Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.

Funding

Ministry for Social Affairs of the State Mecklenburg-West Pomerania.
6 · The paper itself

Abstract

BACKGROUND AND

aimsEvidence links body composition and inflammatory markers with type 2 diabetes (T2D). However, the comparative analysis of body composition markers derived from different modalities and inflammatory markers in relation to T2D remains unexplored. This study aims to evaluate and compare the association of body composition and inflammatory markers with T2D.

methodsWe included 4043 participants (2081 female, 51.4%) aged 20-84 enrolled in the population-based Study of Health in Pomerania. Multivariable logistic regression models adjusted for confounding were used to analyse associations of standardized body composition markers derived from classic anthropometry, bioelectrical impedance analysis, magnetic resonance imaging as well as inflammatory markers C-reactive protein, white blood cell count, fibrinogen, ferritin and CRP-to-albumin ratio with prevalent T2D.

resultsBody composition markers were more strongly associated with T2D than inflammatory markers. Waist circumference exhibited the strongest association with T2D (female: odds ratio (OR) = 2.55; 95% confidence interval [CI]: 2.17-3.00; male: OR = 2.20; 95% CI: 1.86-2.60). Similarly, body weight (female: 2.07; 1.78-2.41; male: OR = 1.99; 95% CI = 1.71-2.31), waist-to-height ratio (female: OR = 2.39; 95% CI = 2.05-2.77; male: 2.28; 1.92-2.70) and visceral adipose tissue (female: 3.02; 95% CI = 2.11-4.32; male: 1.50; 1.19-1.89) showed strong associations with T2D. Among inflammatory markers, white blood cell count in male and CRP-to-albumin ratio in female exhibit the strongest association with T2D.

conclusionsBody composition markers seem to be more tightly associated with prevalent T2D compared to inflammatory markers.

Indexed as

Body CompositionDiabetes Mellitus, Type 2InflammationAdultAgedAged, 80 and overBiomarkersBody WeightC-Reactive ProteinElectric ImpedanceFemaleFerritinsFibrinogenHumansLeukocyte CountLogistic ModelsBiomarkersC-Reactive ProteinFerritinsFibrinogenSerum AlbuminC‐reactive proteininflammationmagnetic resonance imagingobesitytype 2 diabeteswaist circumference

Identifiers

PMID39921528
PMCPMC11891827

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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.