Evidence map›Paper›PMID 38864868›Full record

ArticleEuropean journal of nutrition2024

Healthy dietary pattern is associated with lower glycemia independently of the genetic risk of type 2 diabetes: a cross-sectional study in Finnish men.

Ulla Tolonen, Maria Lankinen, Markku Laakso, Ursula Schwab

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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ulla TolonenInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, PO Box 1627, Kuopio, 70211, Finland. ulla.tolonen@uef.fi.ORCID http://orcid.org/0000-0002-0564-9920
Maria LankinenInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, PO Box 1627, Kuopio, 70211, Finland.ORCID http://orcid.org/0000-0002-9158-283X
Markku LaaksoInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland.ORCID http://orcid.org/0000-0002-3394-7749
Ursula SchwabInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, PO Box 1627, Kuopio, 70211, Finland.ORCID http://orcid.org/0000-0003-1838-7525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHyperglycemia is affected by lifestyle and genetic factors. We investigated if dietary patterns associate with glycemia in individuals with high or low genetic risk for type 2 diabetes (T2D).

methodsMen (n = 1577, 51-81 years) without T2D from the Metabolic Syndrome in Men (METSIM) cohort filled a food-frequency questionnaire and participated in a 2-hour oral glucose tolerance test. Polygenetic risk score (PRS) including 76 genetic variants was used to stratify participants into low or high T2D risk groups. We established two data-driven dietary patterns, termed healthy and unhealthy, and investigated their association with plasma glucose concentrations and hyperglycemia risk.

resultsHealthy dietary pattern was associated with lower fasting and 2-hour plasma glucose, glucose area under the curve, and better insulin sensitivity (Matsuda insulin sensitivity index) and insulin secretion (disposition index) in unadjusted and adjusted models, whereas the unhealthy pattern was not. No interaction was observed between the patterns and PRS on glycemic measures. Healthy dietary pattern was negatively associated with the risk for hyperglycemia in an adjusted model (OR 0.69, 95% CI 0.51-0.95, in the highest tertile), whereas unhealthy pattern was not (OR 1.08, 95% CI 0.79-1.47, in the highest tertile). No interaction was found between diet and PRS on the risk for hyperglycemia (p = 0.69 for healthy diet, p = 0.54 for unhealthy diet).

conclusionOur findings suggest that healthy diet is associated with lower glucose concentrations and lower risk for hyperglycemia in men with no interaction with the genetic risk.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Diet, HealthyAgedAged, 80 and overCohort StudiesCross-Sectional StudiesDietFinlandGenetic Predisposition to DiseaseGlucose Tolerance TestHumansHyperglycemiaInsulinInsulin ResistanceMaleBlood GlucoseInsulinDiabetesDietGeneGlucoseGlycemiaHuman

Identifiers

PMID38864868
PMCPMC11490453

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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.