Evidence map›Paper›PMID 41200836›Full record

ArticleEnvironmental science & technology2025

Associations of Long-Term Exposure to Temperature Variability with Glucose Metabolism: Results from KORA F4 and FF4.

Wenli Ni, Siqi Zhang, Christian Herder, Susanne Breitner-Busch, Kathrin Wolf, Minqi Liao, Nikolaos Nikolaou, Regina Pickford, Wolfgang Koenig, Wolfgang Rathmann and 5 more

Abstract read
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Article in Environmental science & technology, 2025. 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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0citing papers in PubMed
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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

15 authors.

Wenli NiInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.ORCID 0000-0003-2355-8464
Siqi ZhangInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.
Christian HerderInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf 40225, Germany.ORCID 0000-0002-2050-093X
Susanne Breitner-BuschInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.
Kathrin WolfInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.
Minqi LiaoInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.
Nikolaos NikolaouInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.
Regina PickfordInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.
Wolfgang KoenigSchool of Medicine and Health, German Heart Centre, TUM University Hospital, Technical University of Munich, Munich 80636, Germany.
Wolfgang RathmannGerman Center for Diabetes Research (DZD e.V.), München-Neuherberg, Munich D-85764, Germany.
Lars SchwettmannInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg 85764, Germany.
Michael RodenInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf 40225, Germany.
Barbara ThorandInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.
Alexandra SchneiderInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg D-85764, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of rising temperature variability driven by climate change on metabolic health remains understudied, especially considering the global increase in diabetes prevalence, with long-term effects on glucose metabolism unexplored. This study investigated associations between long-term temperature variability exposure and glucose metabolism in a population-based cohort of 2997 participants (4954 observations) over a 7-year period from KORA F4 and FF4 cohorts in Augsburg, Germany. Long-term exposure to temperature variability was estimated as the standard deviation of the daily mean air temperature over the 365-day period preceding each examination. We applied generalized estimating equations to examine the longitudinal associations between long-term exposure to temperature variability and multiple glucose metabolism biomarkers: fasting glucose, 2h glucose, fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), homeostasis model assessment of β-cell function (HOMA-B), quantitative insulin sensitivity check index (QUICKI), and glycated hemoglobin (HbA1c). We found that a 1 °C higher temperature variability was significantly associated with higher fasting insulin, HOMA-IR, and HbA1c with % changes (95% CI) of 2.62 (0.79; 4.49), 2.81 (0.79; 4.87), and 2.38 (1.97; 2.79), respectively, and lower QUICKI (-0.41 [-0.70; -0.11]). These findings suggest that increasing temperature variability exposure may contribute to metabolic dysfunction, potentially accelerating the global diabetes epidemic.

Indexed as

GlucoseTemperatureAdultBlood GlucoseClimate ChangeFemaleGermanyHumansInsulin ResistanceMaleMiddle AgedBlood GlucoseGlucosefasting insulinglucose metabolismHbA1cHOMA-IRlong-term effectsQUICKItemperature variability

Identifiers

PMID41200836
PMCPMC12631984

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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.