Evidence map›Paper›PMID 39222156›Full record

ArticleDiabetologia2024

Dietary patterns during pregnancy and maternal and birth outcomes in women with type 1 diabetes: the Environmental Determinants of Islet Autoimmunity (ENDIA) study.

Rebecca L Thomson, James D Brown, Helena Oakey, Kirsten Palmer, Pat Ashwood, Megan A S Penno, Kelly J McGorm, Rachel Battersby, Peter G Colman, Maria E Craig and 10 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. 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

20 authors.

Rebecca L ThomsonAdelaide Medical School, Faculty of Health and Medical Sciences and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia. r.thomson@adelaide.edu.au.ORCID http://orcid.org/0000-0002-7807-4144
James D BrownAdelaide Medical School, Faculty of Health and Medical Sciences and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0001-5190-4833
Helena OakeyAdelaide Medical School, Faculty of Health and Medical Sciences and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0003-1057-7615
Kirsten PalmerMonash Women's, Monash Health, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0001-7421-6291
Pat AshwoodAdelaide Medical School, Faculty of Health and Medical Sciences and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0003-4654-3281
Megan A S PennoAdelaide Medical School, Faculty of Health and Medical Sciences and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0002-9617-0826
Kelly J McGormAdelaide Medical School, Faculty of Health and Medical Sciences and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0002-7893-6998
Rachel BattersbyDepartment of Nutrition & Food Services, Women's and Children's Hospital, North Adelaide, SA, Australia.
Peter G ColmanDepartment of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0001-8718-6175
Maria E CraigSchool of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Randwick, NSW, Australia.ORCID http://orcid.org/0000-0001-6004-576X
Elizabeth A DavisTelethon Kids Institute, Centre for Child Health Research, The University of Western Australia, Nedlands, WA, Australia.ORCID http://orcid.org/0000-0003-4244-5473
Tony HuynhDepartment of Endocrinology and Diabetes, Queensland Children's Hospital, South Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-7909-3670
Leonard C HarrisonWalter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0002-2500-8944
Aveni HaynesTelethon Kids Institute, Centre for Child Health Research, The University of Western Australia, Nedlands, WA, Australia.ORCID http://orcid.org/0000-0001-9954-5016
Richard O SinnottMelbourne eResearch Group, School of Computing and Information Services, University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-5998-222X
Peter J VuillerminFaculty of Health, School of Medicine, Deakin University, Geelong, VIC, Australia.ORCID http://orcid.org/0000-0002-6580-0346
John M WentworthDepartment of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0002-5197-3529
Georgia SoldatosSchool of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia.
Jennifer J CouperAdelaide Medical School, Faculty of Health and Medical Sciences and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0003-4448-8629
ENDIA Study Group

Funding

Juvenile Diabetes Research Foundation Australia 1-SRA-2019-871-M-BJuvenile Diabetes Research Foundation Australia 3-SRA-2020-966-M-NJuvenile Diabetes Research Foundation Australia 3-SRA-2023-1374-M-NJuvenile Diabetes Research Foundation Australia 4-SRA-2015-127-M-BNational Health and Medical Research Council Centre of Research Excellence for the Protection oNational Health and Medical Research Council project grant APP1025083
6 · The paper itself

Abstract

aims/hypothesisDietary patterns characterised by high intakes of vegetables may lower the risk of pre-eclampsia and premature birth in the general population. The effect of dietary patterns in women with type 1 diabetes, who have an increased risk of complications in pregnancy, is not known. The aim of this study was to investigate the relationship between dietary patterns and physical activity during pregnancy and maternal complications and birth outcomes in women with type 1 diabetes. We also compared dietary patterns in women with and without type 1 diabetes.

methodsDiet was assessed in the third trimester using a validated food frequency questionnaire in participants followed prospectively in the multi-centre Environmental Determinants of Islet Autoimmunity (ENDIA) study. Dietary patterns were characterised by principal component analysis. The Pregnancy Physical Activity Questionnaire was completed in each trimester. Data for maternal and birth outcomes were collected prospectively.

resultsQuestionnaires were completed by 973 participants during 1124 pregnancies. Women with type 1 diabetes (n=615 pregnancies with dietary data) were more likely to have a 'fresh food' dietary pattern than women without type 1 diabetes (OR 1.19, 95% CI 1.07, 1.31; p=0.001). In women with type 1 diabetes, an increase equivalent to a change from quartile 1 to 3 in 'fresh food' dietary pattern score was associated with a lower risk of pre-eclampsia (OR 0.37, 95% CI 0.17, 0.78; p=0.01) and premature birth (OR 0.35, 95% CI 0.20, 0.62, p<0.001). These associations were mediated in part by BMI and HbA CONCLUSIONS/

interpretationA dietary pattern higher in fresh foods during pregnancy was associated with sizeable reductions in risk of pre-eclampsia and premature birth in women with type 1 diabetes.

Indexed as

Diabetes Mellitus, Type 1DietPregnancy OutcomeAdultAutoimmunityFemaleHumansPre-EclampsiaPregnancyPregnancy in DiabeticsPremature BirthProspective StudiesSurveys and QuestionnairesBirth outcomesDietary patternsPre-eclampsiaPregestational diabetesPregnancy complicationsType 1 diabetes

Identifiers

PMID39222156
PMCPMC11519125

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Registered trials

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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.