Evidence map›Paper›PMID 28882122›Full record

ArticleBMC pregnancy and childbirth2017

Prevalence and predictors of early gestational weight gain associated with obesity risk in a diverse Australian antenatal population: a cross-sectional study.

K Cheney, S Berkemeier, K A Sim, A Gordon, K Black

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  9. Exploring the diets of mothers and their partners during pregnancy: Findings from the Queensland Family Cohort pilot study.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2022
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  15. Factors associated with early gestational weight gain among women with pre-pregnancy overweight or obesity.Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology · 2021
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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

5 authors at 3 institutions in 1 country.

K CheneyWomen's and Babies, Royal Prince Alfred Hospital, Missenden Road, Camperdown, Sydney, NSW, 2050, Australia. kate.cheney@sswahs.nsw.gov.au.
S BerkemeierDivision of Obstetrics and Gynaecology, Campbelltown Hospital, Sydney, NSW, 2560, Australia.
K A SimThe Boden Institute, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
A GordonDiscipline of Obstetrics, Gynaecology and Neonatology, The University of Sydney, Sydney, NSW, 2006, Australia.
K BlackWomen's and Babies, Royal Prince Alfred Hospital, Missenden Road, Camperdown, Sydney, NSW, 2050, Australia.
Royal Prince Alfred Hospital · AUUniversity of Sydney · AUCamden and Campbelltown Hospitals · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess gestational weight gain (GWG) leads to adverse short- and long-term consequences for women and their offspring. Evidence suggests that excess GWG in early pregnancy may be particularly detrimental, contributing to the intergenerational cycle of obesity. The primary outcome was to investigate the prevalence and predictors of excess GWG in early pregnancy, and if women understand the risks to themselves and their offspring stratified by maternal body mass index (BMI).

methodsThis was a secondary analysis (n = 2131) of a cross-sectional study (n = 2338) conducted over 6 months in 2015 of pregnant women attending antenatal clinics at four maternity hospitals across Sydney, Australia before 22 completed weeks gestation An self-completed questionnaire was used to investigate knowledge of expected weight gain in pregnancy, understanding of risks associated with excess GWG, self-reported anthropometric measures and socio-demographic data.

resultsOne third (34.2%) of women gained weight in excess of the recommendations by 22 completed weeks gestation. Women who were overweight (OR: 1.69, 95% CI: 1.33-2.14) or obese (OR: 1.64, 95% CI: 1.20-2.24) pre-pregnancy were more likely to gain excess weight in early pregnancy compared to normal weight women; as were women from lower socio-economic areas (OR: 1.89, 95% CI: 1.49-2.41). Half (51%) the women were unsure about the effect of excess GWG on their baby; 11% did not believe that excess GWG would affect the weight of the baby and 14% did not believe that excess GWG would affect longer term outcomes for their baby. Women who gained weight above the recommendations were significantly more likely to believe that excessive GWG in pregnancy would not have any adverse future effect on health outcomes or weight of their baby.

conclusionsThe women at particular risk of excess early GWG are those who are overweight and obese and/or residing in lower socio-economic areas. These women need to be targeted for appropriate counselling preconception or in early pregnancy. Given the significant adverse outcomes associated with excess GWG in early pregnancy, preconception or early pregnancy counselling with respect to GWG and intervention research regarding best approach remains a public health priority.

Indexed as

Health Knowledge, Attitudes, PracticeWeight GainAdolescentAdultAustraliaBody Mass IndexCross-Sectional StudiesFemaleGestational AgeHumansObesityPoverty AreasPregnancyPregnancy ComplicationsPregnancy Trimester, FirstPregnancy Trimester, SecondEarly pregnancyGestational weight gainObesityOverweight

Identifiers

PMID28882122
PMCPMC5590236
OpenAlexW2753088633

What OpenQuestion 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 OpenQuestion graph.