Evidence map›Paper›PMID 34906992›Full record

ArticleCMAJ open

Prevalence of and risk factors for excess weight gain in pregnancy: a cross-sectional study using survey data.

Jamie L Benham, Jane E Booth, Lois E Donovan, Alexander A Leung, Ronald J Sigal, Doreen M Rabi

Abstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

6 authors.

Jamie L BenhamDepartments of Medicine (Benham, Donovan, Leung, Sigal, Rabi), of Community Health Sciences (Benham, Booth, Leung, Sigal, Rabi), of Obstetrics and Gynecology (Donovan) and of Cardiac Sciences (Sigal, Rabi), Cumming School of Medicine, University of Calgary; Alberta Children's Hospital Research Institute (Donovan), Calgary, Alta. jlbenham@ucalgary.ca.
Jane E BoothDepartments of Medicine (Benham, Donovan, Leung, Sigal, Rabi), of Community Health Sciences (Benham, Booth, Leung, Sigal, Rabi), of Obstetrics and Gynecology (Donovan) and of Cardiac Sciences (Sigal, Rabi), Cumming School of Medicine, University of Calgary; Alberta Children's Hospital Research Institute (Donovan), Calgary, Alta.
Lois E DonovanDepartments of Medicine (Benham, Donovan, Leung, Sigal, Rabi), of Community Health Sciences (Benham, Booth, Leung, Sigal, Rabi), of Obstetrics and Gynecology (Donovan) and of Cardiac Sciences (Sigal, Rabi), Cumming School of Medicine, University of Calgary; Alberta Children's Hospital Research Institute (Donovan), Calgary, Alta.
Alexander A LeungDepartments of Medicine (Benham, Donovan, Leung, Sigal, Rabi), of Community Health Sciences (Benham, Booth, Leung, Sigal, Rabi), of Obstetrics and Gynecology (Donovan) and of Cardiac Sciences (Sigal, Rabi), Cumming School of Medicine, University of Calgary; Alberta Children's Hospital Research Institute (Donovan), Calgary, Alta.
Ronald J SigalDepartments of Medicine (Benham, Donovan, Leung, Sigal, Rabi), of Community Health Sciences (Benham, Booth, Leung, Sigal, Rabi), of Obstetrics and Gynecology (Donovan) and of Cardiac Sciences (Sigal, Rabi), Cumming School of Medicine, University of Calgary; Alberta Children's Hospital Research Institute (Donovan), Calgary, Alta.
Doreen M RabiDepartments of Medicine (Benham, Donovan, Leung, Sigal, Rabi), of Community Health Sciences (Benham, Booth, Leung, Sigal, Rabi), of Obstetrics and Gynecology (Donovan) and of Cardiac Sciences (Sigal, Rabi), Cumming School of Medicine, University of Calgary; Alberta Children's Hospital Research Institute (Donovan), Calgary, Alta.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal weight gain during pregnancy is required for fetal development; however, excess gestational weight gain is associated with increased maternal and neonatal morbidity. We aimed to determine the proportion of Canadian women who gained excess weight during pregnancy and to identify risk factors for excess gestational weight gain.

methodsSelf-reported data on maternal weight gain were collected from the 2015/16 and 2017/18 cycles of the Canadian Community Health Survey (CCHS), a cross-sectional population-based survey. We included females aged 15 to 54 years with data on height, prepregnancy weight and gestational weight gain. We defined excess gestational weight gain in terms of preconception body mass index (BMI) according to the 2009 guideline of the US Institute of Medicine. We used logistic regression to evaluate potential risk factors for excess gestational weight gain.

resultsOf 1 335 615 Canadian women (weighted from approximately 9300 survey respondents), 422 043 (32%) gained excess weight during pregnancy. Women with obesity had 33% lower odds of gaining excess weight relative to women with overweight (odds ratio 0.67, 95% confidence interval 0.48-0.94). Risk factors for excess gestational weight gain were lower education level, white or Indigenous identity, smoking, mood disorder, anxiety disorder and Canadian citizenship.

interpretationOne-third of Canadian women in this survey had excess gestational weight gain during pregnancy, and women with obesity had lower odds of gaining excess weight during pregnancy relative to women with overweight. Strategies are needed to reduce the proportion of Canadian women who gain excess weight during pregnancy, regardless of preconception BMI.

Indexed as

Gestational Weight GainAdolescentAdultBody Mass IndexCanadaCesarean SectionCitizenshipComorbidityCross-Sectional StudiesFemaleGestational AgeHumansHypertension, Pregnancy-InducedMiddle AgedPregnancyPregnancy in Obesity

Identifiers

PMID34906992
PMCPMC8687487

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LicenceCC BY-NC-ND
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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.