Evidence map›Paper›PMID 41652263›Full record

ArticleDiabetologia2026

Red meat intake during pregnancy and childhood and risk of type 1 diabetes: findings from the ABIS birth cohort.

Anna-Maria Lampousi, Jiayi Zeng, Josefin E Löfvenborg, Sofia Carlsson, Johnny Ludvigsson

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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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Anna-Maria LampousiDivision of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden. annamaria.lampousi@ki.se.ORCID http://orcid.org/0000-0002-3640-3827
Jiayi ZengDepartment of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID http://orcid.org/0000-0002-3156-930X
Josefin E LöfvenborgDivision for Risk and Benefit Assessment, Swedish Food Agency, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-0099-969X
Sofia CarlssonInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-9497-2331
Johnny LudvigssonDivision of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.ORCID http://orcid.org/0000-0003-1695-5234

Funding

Forskningsrådet för Arbetsliv och Socialvetenskap FAS2004-1775JDRF Wallenberg Foundation K 98-99D-12813-01AVetenskapsrådet K2005-72X-11242-11AVetenskapsrådet K2008-69X-20826-01-4
6 · The paper itself

Abstract

aims/hypothesisThe role of red meat in type 1 diabetes risk remains unclear. We examined whether maternal and early-life red meat intake is associated with the development of type 1 diabetes and whether such associations are modified by genetic susceptibility.

methodsWe analysed data from 15,717 children participating in the All Babies In Southeast Sweden (ABIS) cohort, followed for type 1 diabetes diagnosis via national registers until the age of 24-26 years. Dietary intake was assessed through food frequency questionnaires during pregnancy and at ages 1, 2.5 and 5 years. Cox models estimated adjusted HRs and 95% CIs for type 1 diabetes in relation to red meat, including beef, pork and sausage, analysed as high vs low intake frequency and per serving/week. Analyses were stratified by HLA risk genotype and family history of type 1 diabetes.

resultsFrequency of red meat intake during pregnancy or at age 1 was not associated with type 1 diabetes risk. The corresponding HRs per serving/week were 0.98 (95% CI 0.90, 1.07) and 0.98 (95% CI 0.88, 1.08), respectively. In type-specific analyses, higher frequency of beef intake at age 5 was associated with an increased risk of type 1 diabetes (HR 1.29 [95% CI 1.05, 1.58]), with a similar tendency for exposure at age 2.5 (HR 1.12 [95% CI 0.93, 1.36]). The association at age 5 was evident among children with high-risk HLA genotypes (HR 1.40 [95% CI 1.11, 1.78]) or a family history of type 1 diabetes (HR 1.56 [95% CI 1.08, 2.26]). In contrast, no statistically significant association was observed among children with low-risk HLA genotypes (HR 0.34 [95% CI 0.10, 1.19]) or without a family history of type 1 diabetes (HR 1.20 [95% CI 0.92, 1.56]). No associations were found for higher frequency of beef consumption during pregnancy or at age 1, nor for pork and sausage at any age. CONCLUSIONS/

interpretationChildhood beef consumption may contribute to type 1 diabetes development in genetically at-risk individuals. Further research is needed to confirm this finding and clarify underlying mechanisms.

Indexed as

Diabetes Mellitus, Type 1Red MeatAdultAnimalsBirth CohortChild, PreschoolCohort StudiesDietFemaleGenetic Predisposition to DiseaseHumansInfantMalePregnancyRisk FactorsSwedenBeefDietGenetic susceptibilityHLARed meatType 1 diabetes

Identifiers

PMID41652263
PMCPMC13005828

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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.