Evidence map›Paper›PMID 35851591›Full record

ArticleAmerican journal of epidemiology2022

Gestational Weight Gain and Birth Outcome: A Comparison of Methods of Accounting for Gestational Age.

Megan Richards, Matthew J Strickland, W Dana Flanders, Mitchel Klein, Lyndsey A Darrow

Abstract read
In one paragraph

Article in American journal of epidemiology, 2022. 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.

  1. Trial
  2. Article
  3. Article
  4. Factors Associated with Progression to Type 2 Diabetes among Women with Gestational Diabetes.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Megan Richards
Matthew J Strickland
W Dana Flanders
Mitchel Klein
Lyndsey A Darrow

Funding

Extreme heat events and pregnancy duration: a national studyR01ES028346 · NIEHS · EMORY UNIVERSITY · PI CHANG, HOWARD H, DARROW, LYNDSEY · 2018 to 2024
$2.7M
NIEHS NIH HHS R01 ES028346
6 · The paper itself

Abstract

Cross-sectional studies of total gestational weight gain (GWG) and perinatal outcomes have used different approaches to operationalize GWG and adjust for duration of gestation. Using birth records from California (2007-2017), Nevada (2010-2017), and Oregon (2008-2017), we compared 3 commonly used approaches to estimate associations between GWG and cesarean delivery, small-for-gestational-age birth, and low birth weight (LBW): 1) the Institute of Medicine-recommended GWG ranges at a given gestational week, 2) total weight gain categories directly adjusting for gestational age as a covariate, and 3) weight-gain-for-gestational-age z scores derived from an external longitudinal reference population. Among 5,461,130 births, the 3 methods yielded similar conclusions for cesarean delivery and small-for-gestational-age birth. However, for LBW, some associations based on z scores were in the opposite direction of methods 1 and 2, paradoxically suggesting that higher GWG increases risk of LBW. This was due to a greater proportion of preterm births among those with high z scores, and controlling for gestational age in the z score model brought the results in line with the other methods. We conclude that the use of externally derived GWG z scores based on ongoing pregnancies can yield associations confounded by duration of pregnancy when the outcome is strongly associated with gestational age at delivery.

Indexed as

Gestational Weight GainPregnancy ComplicationsPremature BirthBirth WeightBody Mass IndexCross-Sectional StudiesFemaleGestational AgeHumansInfant, NewbornPregnancyPregnancy OutcomeWeight Gaincesarean deliverygestational agegestational weight gainlow birth weightsmall-for-gestational-age birthz scores

Identifiers

PMID35851591
PMCPMC9989346

What OpenQuestion holds

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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.