Evidence map›Paper›PMID 35105311›Full record

ArticleBMC pregnancy and childbirth2022

Trends in percentages of gestational diabetes mellitus attributable to overweight, obesity, and morbid obesity in regional Victoria: an eight-year population-based panel study.

George Mnatzaganian, Mark Woodward, H David McIntyre, Liangkun Ma, Nicola Yuen, Fan He, Helen Nightingale, Tingting Xu, Rachel R Huxley

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Combined triple screening and BMI models for gestational diabetes prediction.Turkish journal of obstetrics and gynecology · 2026
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  19. Gestational Diabetes and International Migration.Journal of the Endocrine Society · 2022
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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

9 authors at 7 institutions in 3 countries.

George MnatzaganianRural Department of Community Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia. G.Mnatzaganian@latrobe.edu.au.
Mark WoodwardThe George Institute for Global Health, Imperial College, London, UK.
H David McIntyreObstetric Medicine, Mater Health Services, University of Queensland, Brisbane, Queensland, Australia.
Liangkun MaDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China.
Nicola YuenDepartment of Women's & Children's Services, Bendigo Health, Bendigo, Victoria, Australia.
Fan HeRural Department of Community Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia.
Helen NightingaleRural Department of Nursing and Midwifery, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia.
Tingting XuDepartment of Health Policy and Management, School of Public Health, Capital Medical University, Beijing, China.
Rachel R HuxleyThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
La Trobe University · AUBendigo Health · AUCapital Medical University · CNImperial College London · GBMater Health Services · AUPeking Union Medical College Hospital · CNThe George Institute for Global Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is the fastest growing type of diabetes in Australia with rates trebling over the past decades partially explained by rising obesity rates and maternal age among childbearing women. Percentage of GDM attributable to obesity has been documented, mostly focusing on metropolitan populations. In parts of regional (areas outside capital cities) and rural Australia where overweight, obesity and morbid obesity are more prevalent, intertwined with socioeconomic disadvantage and higher migrant communities, trends over time in adjusted percentages of GDM attributed to obesity are unknown.

methodsIn this population-based retrospective panel study, women, without pre-existing diabetes, delivering singletons between 2010 and 2017 in a tertiary regional hospital that serves 26% of Victoria's 6.5 million Australian population were eligible for inclusion. Secular trends in GDM by body mass index (BMI) and age were evaluated. The percentage of GDM that would have been prevented each year with the elimination of overweight or obesity was estimated using risk-adjusted regression-based population attributable fractions (AFp). Trends in the AFp over time were tested using the augmented Dickey-Fuller test.

resultsOverall 7348 women, contributing to 10,028 births were included. The age of expecting mothers, their BMI, proportion of women born overseas, and GDM incidence significantly rose over time with GDM rising from 3.5% in 2010 to 13.7% in 2017, p <  0.001, increasing in all BMI categories. The incidence was consistently highest among women with obesity (13.8%) and morbid obesity (21.6%). However, the highest relative increase was among women with BMI < 25 kg/m

conclusionsBesides increasing prevalence of obesity over time, this study suggests that GDM risk factors, other than obesity, are also increasing over time.

Indexed as

AdultBody Mass IndexDiabetes, GestationalFemaleHumansIncidenceLongitudinal StudiesMaternal AgeMiddle AgedObesity, MorbidOverweightPregnancyPregnancy in ObesityRetrospective StudiesRoutinely Collected Health DataTertiary Care CentersGestational diabetes mellitusIncidenceObesityPopulation attributable fractionsTrends

Identifiers

PMID35105311
PMCPMC8809044
OpenAlexW4210606489

What OpenQuestion holds

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LicenceCC BY
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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.