Evidence map›Paper›PMID 29281119›Full record

ArticlePaediatric and perinatal epidemiology2018

Gestational Weight Gain-for-Gestational Age Z-Score Charts Applied across U.S. Populations.

Stephanie A Leonard, Jennifer A Hutcheon, Lisa M Bodnar, Lucia C Petito, Barbara Abrams

Abstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2018. 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
–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

21 citing papers in PubMed.

  1. Article
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  6. Polybrominated diphenyl ethers and gestational weight gain: a multi-center prospective cohort study.BJOG : an international journal of obstetrics and gynaecology · 2024
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  7. Observational
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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.

Stephanie A LeonardDivision of Epidemiology, School of Public Health, University of California, Berkeley, CA.ORCID 0000-0001-8213-1319
Jennifer A HutcheonDepartment of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-0502-3423
Lisa M BodnarDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0001-9427-5467
Lucia C PetitoDivision of Biostatistics, School of Public Health, University of California, Berkeley, CA.
Barbara AbramsDivision of Epidemiology, School of Public Health, University of California, Berkeley, CA.

Funding

Innovative Approaches to Inform Evidence-Based Pregnancy Weight Gain GuidelinesR01HD072008 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M, HUTCHEON, JENNIFER ANNE · 2013 to 2016
$2.4M
Innovative approaches to inform evidence-based pregnancy weight gain guidelinesR01HD094777 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M, HUTCHEON, JENNIFER ANNE · 2018 to 2021
$2.1M
Informing Evidence-based Maternal Weight Gain Guidelines for Twin PregnanciesR01NR014245 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M, HUTCHEON, JENNIFER ANNE · 2013 to 2016
$1.9M
NICHD NIH HHS R01 HD072008NICHD NIH HHS R01 HD094777NINR NIH HHS R01 NR014245
6 · The paper itself

Abstract

backgroundGestational weight gain may be a modifiable contributor to infant health outcomes, but the effect of gestational duration on gestational weight gain has limited the identification of optimal weight gain ranges. Recently developed z-score and percentile charts can be used to classify gestational weight gain independent of gestational duration. However, racial/ethnic variation in gestational weight gain and the possibility that optimal weight gain differs among racial/ethnic groups could affect generalizability of the z-score charts. The objectives of this study were (1) to apply the weight gain z-score charts in two different U.S. populations as an assessment of generalisability and (2) to determine whether race/ethnicity modifies the weight gain range associated with minimal risk of preterm birth.

methodsThe study sample included over 4 million live, singleton births in California (2007-2012) and Pennsylvania (2003-2013). We implemented a noninferiority margin approach in stratified subgroups to determine weight gain ranges for which the adjusted predicted marginal risk of preterm birth (gestation <37 weeks) was within 1 or 2 percentage points of the lowest observed risk.

resultsThere were minimal differences in the optimal ranges of gestational weight gain between California and Pennsylvania births, and among several racial/ethnic groups in California. The optimal ranges decreased as severity of prepregnancy obesity increased in all groups.

conclusionsThe findings support the use of weight gain z-score charts for studying gestational age-dependent outcomes in diverse U.S. populations and do not support weight gain recommendations tailored to race/ethnicity.

Indexed as

Gestational AgeWeight GainAdolescentAdultCaliforniaChildData Interpretation, StatisticalFemaleHumansObesityPennsylvaniaPregnancyPregnancy ComplicationsRacial GroupsRisk FactorsYoung Adultethnic groupsgestational agegrowth chartspregnancypremature birthweight gain

Identifiers

PMID29281119
PMCPMC6637422

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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.