Evidence map›Paper›PMID 37608089›Full record

ArticleInternational journal of obesity (2005)2023

Association between maternal hyperglycemia in pregnancy and offspring anthropometry in early childhood: the pandora wave 1 study.

Angela Titmuss, Federica Barzi, Elizabeth L M Barr, Vanya Webster, Anna Wood, Joanna Kelaart, Marie Kirkwood, Christine Connors, Jacqueline A Boyle, Elizabeth Moore and 7 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of obesity (2005), 2023. 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
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

17 authors at 8 institutions in 1 country.

Angela TitmussWellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia. Angela.titmuss@menzies.edu.au.ORCID 0000-0002-9865-1252
Federica BarziWellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Elizabeth L M BarrWellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.ORCID 0000-0003-4284-1716
Vanya WebsterWellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Anna WoodWellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Joanna KelaartAboriginal Health Domain, Baker Heart and Diabetes Institute, Alice Springs, NT, Australia.
Marie KirkwoodWellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Christine ConnorsNorthern Territory Department of Health, Darwin, NT, Australia.
Jacqueline A BoyleWellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Elizabeth MoorePublic Health Unit, Aboriginal Medical Services Alliance of Northern Territory, Darwin, NT, Australia.
Jeremy OatsMelbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
H David McIntyreFaculty of Medicine, Mater Medical Research Institute, University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0001-8819-5794
Paul ZimmetDepartment of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia.ORCID 0000-0003-0627-0776
Alex D H BrownUniversity of South Australia, Adelaide, SA, Australia.
Jonathan E ShawClinical and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Maria E CraigSchool of Women's and Children's Health, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0001-6004-576X
Louise J Maple-BrownWellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Charles Darwin University · AUBaker Heart and Diabetes Institute · AUNorthern Territory Health Services · AUThe University of Queensland · AUAustralian National University · AUMonash University · AUThe University of Melbourne · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn-utero hyperglycemia exposure influences later cardiometabolic risk, although few studies include women with pre-existing type 2 diabetes (T2D) or assess maternal body mass index (BMI) as a potential confounder.

objectiveTo explore the association of maternal T2D and gestational diabetes mellitus (GDM) with childhood anthropometry, and the influence of maternal BMI on these associations.

methodsThe PANDORA cohort comprises women (n = 1138) and children (n = 1163). Women with GDM and T2D were recruited from a hyperglycemia in pregnancy register, and women with normoglycemia from the community. Wave 1 follow-up included 423 children, aged 1.5-5 years (median follow-up age 2.5 years). Multivariable linear regression assessed associations between maternal antenatal variables, including BMI and glycemic status, with offspring anthropometry (weight, height, BMI, skinfold thicknesses, waist, arm and head circumferences).

resultsGreater maternal antenatal BMI was associated with increased anthropometric measures in offspring independent of maternal glycemic status. After adjustment, including for maternal BMI, children exposed to maternal GDM had lower mean weight (-0.54 kg, 95% CI: -0.99, -0.11), BMI (-0.55 kg/m

conclusionsChildren exposed to GDM had greater suprailiac skinfold thickness than unexposed children, despite having lower mean weight, BMI and mid-upper arm circumference, and both GDM and T2D were associated with smaller mean head circumference. Future research should assess whether childhood anthropometric differences influence lifetime cardiometabolic and neurodevelopmental risk.

Indexed as

Cardiovascular DiseasesDiabetes, GestationalDiabetes Mellitus, Type 2HyperglycemiaPrediabetic StateAnthropometryBody Mass IndexChildChild, PreschoolFemaleHumansPregnancy

Identifiers

PMID37608089
PMCPMC10599996
OpenAlexW4386070256

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.