Evidence map›Paper›PMID 30627431›Full record

ArticleJournal of nutritional science2018

Differential associations between diet and prediabetes or diabetes in the KORA FF4 study.

Taylor A Breuninger, Anna Riedl, Nina Wawro, Wolfgang Rathmann, Konstantin Strauch, Anne Quante, Annette Peters, Barbara Thorand, Christa Meisinger, Jakob Linseisen

Open access · goldAbstract read
In one paragraph

Article in Journal of nutritional science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 5 institutions in 1 country.

Taylor A BreuningerHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Anna RiedlHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Nina WawroHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Wolfgang RathmannDeutsches Diabetes-Zentrum (DDZ), Institute for Biometrics and Epidemiology, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany.
Konstantin StrauchHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Genetic Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Anne QuanteHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Genetic Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Annette PetersHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Barbara ThorandHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Christa MeisingerHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Jakob LinseisenHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
Helmholtz Zentrum München · DEDeutsches Diabetes-Zentrum e.V. · DEHeinrich Heine University Düsseldorf · DELudwig-Maximilians-Universität München · DEUniversity of Augsburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is a global public health epidemic. Diet and lifestyle changes have been demonstrated as effective measures in managing T2DM and preventing or delaying the progression from prediabetes to diabetes, yet the relationship between diet, prediabetes and diabetes is still not entirely clear. The present study aimed to further elucidate the relationship between diet, diabetes and especially prediabetes. A total of 1542 participants of the cross-sectional, population-based Cooperative Health Research in the Region of Augsburg (KORA) FF4 study (2013/2014) were included in this analysis. Dietary intake was derived using a method combining information from a FFQ and repeated 24-h food lists. Glucose tolerance status was assessed via oral glucose tolerance tests in all participants without a previous physician-confirmed diagnosis of T2DM, and was classified according to the 2003 American Diabetes Association criteria. Crude and fully adjusted multinomial logistic regression models were fitted to examine associations between diet and prediabetes, undetected diabetes mellitus (UDM) and prevalent T2DM. After adjusting for major covariates, fruit was significantly inversely and total meat, processed meat, sugar-sweetened beverages and moderate alcohol significantly associated with UDM and/or prevalent diabetes. Sex-specific analyses showed that in men, coffee was significantly inversely (OR 0·80; 95 % CI 0·67, 0·96) and heavy alcohol significantly (OR 1·84; 95 % CI 1·14, 2·95) associated with prediabetes. Our findings on diet and T2DM are consistent with current literature, while our results regarding coffee, heavy alcohol consumption and prediabetes highlight new possible targets for primary prevention of the derangement of glucose homeostasis.

Indexed as

24HFL, 24-h food listAlcoholBVSII, Bavarian Food Consumption Survey IICoffeeFruitKORA, Cooperative Health Research in the Region of AugsburgMeat: enable-ClusterNGT, normal glucose toleranceSSB, sugar-sweetened beveragesT2DM, type 2 diabetes mellitusUDM, undetected diabetes mellitus

Identifiers

PMID30627431
PMCPMC6313408
OpenAlexW2907613052

What Socratic holds

Textmetadata
LicenceCC BY
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.