Evidence map›Paper›PMID 37164320›Full record

ArticleAmerican journal of perinatology2024

Prenatal Weight Change Trajectories and Perinatal Outcomes among Twin Gestations.

Amy R Nichols, Sina Haeri, Anthony Rudine, Natalie Burns, Paul J Rathouz, Monique M Hedderson, Steven A Abrams, Saralyn F Foster, Rachel Rickman, Mollie McDonnold and 1 more

Abstract read
In one paragraph

Article in American journal of perinatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Amy R NicholsDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, Texas.ORCID 0000-0002-3085-7377
Sina HaeriWomen's Center of Texas, St. David's Healthcare, Austin, Texas.
Anthony RudineOffice of Research, St. David's Healthcare, Austin, Texas.
Natalie BurnsDepartment of Statistics, University of Florida, Gainesville, Florida.
Paul J RathouzDepartment of Population Health and Biomedical Data Science Hub, The University of Texas at Austin Dell Medical School, Austin, Texas.
Monique M HeddersonDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Steven A AbramsDepartment of Pediatrics, The University of Texas at Austin Dell Medical School, Austin, Texas.
Saralyn F FosterDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, Texas.
Rachel RickmanDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, Texas.
Mollie McDonnoldOffice of Research, St. David's Healthcare, Austin, Texas.
Elizabeth M WidenDepartment of Nutritional Sciences, The University of Texas at Austin, Austin, Texas.ORCID 0000-0002-9574-6109

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Pregnancy weight trajectories and offspring adiposityR00HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2018 to 2020
$744k
Pregnancy weight trajectories and offspring adiposityK99HD086304 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI WIDEN, ELIZABETH MARIE · 2016 to 2017
$258k
Eunice Kennedy Shriver National Institute of Child Health and Human Development to the University of Texas at Austin NIH R00HD086304NICHD NIH HHS K99 HD086304NICHD NIH HHS P2C HD042849NICHD NIH HHS R00 HD086304
6 · The paper itself

Abstract

objectiveDespite an increase in twin pregnancies in recent decades, the Institute of Medicine twin weight gain recommendations remain provisional and provide no guidance for the pattern or timing of weight change. We sought to characterize gestational weight change trajectory patterns and examine associations with birth outcomes in a cohort of twin pregnancies. STUDY

designPrenatal and delivery records were examined for 320 twin pregnancies from a maternal-fetal medicine practice in Austin, TX 2011-2019. Prenatal weights for those with >1 measured weight in the first trimester and ≥3 prenatal weights were included in analyses. Trajectories were estimated to 32 weeks (mean delivery: 33.7 ± 3.3 weeks) using flexible latent class mixed models with low-rank thin-plate splines. Associations between trajectory classes and infant outcomes were analyzed using multivariable Poisson or linear regression.

resultsWeight change from prepregnancy to delivery was 15.4 ± 6.3 kg for people with an underweight body mass index, 15.4 ± 5.8 kg for healthy weight, 14.7 ± 6.9 kg for overweight, and 12.5 ± 6.4 kg for obesity. Three trajectory classes were identified: low (Class 1), moderate (Class 2), or high gain (Class 3). Class 1 (24.7%) maintained weight for 15 weeks and then gained an estimated 6.6 kg at 32 weeks. Class 2 (60.9%) exhibited steady gain with 13.5 kg predicted total gain, and Class 3 (14.4%) showed rapid gain across pregnancy with 21.3 kg predicted gain. Compared to Class 1, Class 3 was associated with higher birth weight

conclusionGestational weight change followed a low, moderate, or high trajectory; both moderate and high gain patterns were associated with increased infant size outcomes. Optimal patterns of weight change that balance risk during the prenatal, perinatal, and neonatal periods require further investigation, particularly in high-risk twin pregnancies. KEY POINTS: · A majority gained weight below IOM twin recommendations.. · Three patterns of GWC across pregnancy were identified.. · Moderate or high GWC was associated with infant size..

Indexed as

Gestational Weight GainPregnancy, TwinAdultBirth WeightBody Mass IndexBody-Weight TrajectoryFemaleGestational AgeHumansInfant, NewbornLinear ModelsMaleObesityOverweightPregnancyPregnancy Outcome

Identifiers

PMID37164320
PMCPMC10782825

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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.