Evidence mapPaperPMID 42502136Full record

ArticleDiabetologia2026

Association of long-term exposure to air pollution, built environment and air temperature with the incidence of prediabetes phenotypes, and prediabetes remission and progression to type 2 diabetes: a longitudinal study in the KORA cohort.

Yue Xi, Barbara Thorand, Alexandra Schneider, Kathrin Wolf, Marco Dallavalle, Nikolaos Nikolaou, Birgit Linkohr, Florian Kronenberg, Wolfgang Rathmann, Sabrina Schlesinger and 6 more

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

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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

16 authors.

Yue XiInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID http://orcid.org/0000-0002-5909-8378
Barbara ThorandInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID http://orcid.org/0000-0002-8416-6440
Alexandra SchneiderInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Kathrin WolfInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID http://orcid.org/0000-0002-4343-201X
Marco DallavalleInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID http://orcid.org/0000-0002-6986-3934
Nikolaos NikolaouInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID http://orcid.org/0000-0003-0346-3142
Birgit LinkohrInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID http://orcid.org/0000-0002-3387-5685
Florian KronenbergInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID http://orcid.org/0000-0003-2229-1120
Wolfgang RathmannInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0001-7804-1740
Sabrina SchlesingerInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0003-4244-0832
Christian HerderGerman Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-2050-093X
Lars SchwettmannDepartment of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID http://orcid.org/0000-0003-0935-6989
Tanja ZellerInstitute of Cardiogenetics, University Heart Center Lübeck, University Medical Center Schleswig-Holstein, University of Lübeck, Lübeck, Germany.ORCID http://orcid.org/0000-0003-3379-2641
Reiner Jumpertz von SchwartzenbergGerman Center for Diabetes Research (DZD), Partner Munich-Neuherberg, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-5544-099X
Susanne Breitner-Busch *Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany. susanne.breitner@helmholtz-munich.de.ORCID http://orcid.org/0000-0002-0956-6911
Annette Peters *Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID http://orcid.org/0000-0001-6645-0985

Funding

European Union's Horizon 2020 research and innovation programme 874627
6 · The paper itself

Abstract

aims/hypothesisEnvironmental exposures have been adversely associated with the risk of diabetes but their role in the remission and progression of prediabetes (impaired glucose tolerance [IGT] and/or impaired fasting glucose [IFG]), especially different phenotypes, is poorly understood. This study aimed to investigate the relationship between environmental exposures and remission or progression of prediabetes phenotypes.

methodsData were derived from the KORA (Cooperative Health Research in the Region of Augsburg) cohort in Southern Germany (2006-2022). Glucose tolerance status was defined according to the 1999/2006 WHO criteria. We included annual values of particulate matter (PM), light at night (LAN), normalised difference vegetation index (NDVI), imperviousness (IMP) and air temperature variation (T

resultsDuring the follow-up, 370/1618 participants developed prediabetes (124 iIFG, 199 iIGT and 47 IFG+IGT). Among participants with prediabetes, 136/367 (without medication) regressed to NGT and 133/420 progressed to type 2 diabetes. We observed consistent associations of air pollutants and the built environment with iIGT or IFG+IGT. For example, an IQR increase in PM CONCLUSIONS/

interpretationThe findings indicate potential heterogeneity in environmental exposures and prediabetes phenotypes. Specifically, they are associated with increased incidence of IGT and decreased remission of iIFG.

Indexed as

Air pollutionAir temperatureBuilt environmentPrediabetes phenotypesPrediabetes remission

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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 Socratic graph.