Evidence map›Paper›PMID 38714546›Full record

ArticleEuropean journal of nutrition2024

Differential association of dietary scores with the risk of type 2 diabetes by metabotype.

Zhongyi Deng, Nina Wawro, Dennis Freuer, Annette Peters, Margit Heier, Christine Meisinger, Taylor A Breuninger, Jakob Linseisen

Abstract read
In one paragraph

Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Zhongyi DengInstitute for Medical Information Processing, Biometry, and Epidemiology - IBE, Ludwig- Maximilians University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Nina WawroChair of Epidemiology, Medical Faculty, University of Augsburg, University Hospital of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
Dennis FreuerChair of Epidemiology, Medical Faculty, University of Augsburg, University Hospital of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
Annette PetersInstitute for Medical Information Processing, Biometry, and Epidemiology - IBE, Ludwig- Maximilians University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Margit HeierInstitute of Epidemiology, Helmholtz Munich (GmbH) - German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
Christine MeisingerChair of Epidemiology, Medical Faculty, University of Augsburg, University Hospital of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
Taylor A BreuningerChair of Epidemiology, Medical Faculty, University of Augsburg, University Hospital of Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
Jakob LinseisenInstitute for Medical Information Processing, Biometry, and Epidemiology - IBE, Ludwig- Maximilians University of Munich, Marchioninistr. 15, 81377, Munich, Germany. jakob.linseisen@med.uni-augsburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to examine the association between dietary patterns and type 2 diabetes mellitus (T2DM) while considering the potential effect modification by metabolic phenotypes (metabotypes). Additionally, we aimed to explore the association between dietary scores and prediabetes.

methodsA total of 1460 participants (11.8% with T2DM) from the cross-sectional population-based KORA FF4 study were included. Participants, classified into three metabotype subgroups, had both their FSAm-NPS dietary index (underpinning the Nutri-Score) and ultra-processed foods (UPF) intake (using NOVA classification) calculated. Glucose tolerance status was assessed via oral glucose tolerance tests (OGTT) in non-diabetic participants and was classified according to the American Diabetes Association criteria. Logistic regression models were used for both the overall and metabotype-stratified analyses of dietary scores' association with T2DM, and multinomial probit models for their association with prediabetes.

resultsParticipants who had a diet with a higher FSAm-NPS dietary index (i.e., a lower diet quality) or a greater percentage of UPF consumption showed a positive association with T2DM. Stratified analyses demonstrated a strengthened association between UPF consumption and T2DM specifically in the metabolically most unfavorable metabotype (Odds Ratio, OR 1.92; 95% Confidence Interval, CI 1.35, 2.73). A diet with a higher FSAm-NPS dietary index was also positively associated with prediabetes (OR 1.19; 95% CI 1.04, 1.35).

conclusionOur study suggests different associations between poorer diet quality and T2DM across individuals exhibiting diverse metabotypes, pointing to the option for stratified dietary interventions in diabetes prevention.

Indexed as

Diabetes Mellitus, Type 2DietAdultAgedCross-Sectional StudiesFemaleGermanyGlucose Tolerance TestHumansMaleMiddle AgedPrediabetic StateRisk FactorsDietary scoresGlucose tolerance statusMetabotypeNutri-scoreType 2 diabetesUltra-processed foods

Identifiers

PMID38714546
PMCPMC11377363

What OpenQuestion 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 OpenQuestion graph.