Evidence map›Paper›PMID 30953457›Full record

ArticleBMC pregnancy and childbirth2019

Interpregnancy change in body mass index and infant outcomes in Texas: a population-based study.

Renata H Benjamin, Sarah Littlejohn, Mark A Canfield, Mary K Ethen, Fei Hua, Laura E Mitchell

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Predictors of Adverse Pregnancy Outcomes in Pregnant Women Living with Obesity: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. The impact of interpregnancy weight change on perinatal outcomes in women and their children: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020
    Pooled it
  3. Pooled it
  4. Examining Interpregnancy Weight Change Across a Birthing Population in Aotearoa, New Zealand.The Australian & New Zealand journal of obstetrics & gynaecology · 2025
    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

6 authors at 3 institutions in 1 country.

Renata H BenjaminUTHealth School of Public Health, Department of Epidemiology, Human Genetics and Environmental Sciences, 1200 Pressler Street, Houston, TX, 77030, USA.
Sarah LittlejohnUTHealth School of Public Health, Department of Epidemiology, Human Genetics and Environmental Sciences, 1200 Pressler Street, Houston, TX, 77030, USA.
Mark A CanfieldBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, TX, USA.
Mary K EthenBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, TX, USA.
Fei HuaCenter for Health Statistics, Texas Department of State Health Services, Austin, TX, USA.
Laura E MitchellUTHealth School of Public Health, Department of Epidemiology, Human Genetics and Environmental Sciences, 1200 Pressler Street, Houston, TX, 77030, USA. laura.e.mitchell@uth.tmc.edu.
Texas Department of State Health Services · USUniversity of Texas Health Science Center at Dallas · USThe University of Texas Health Science Center at Houston · US

Funding

Spina Bifida and Maternal Weight: Moving from Association to PreventionU01DD001179 · DD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MITCHELL, LAURA E. · 2015 to 2017
$720k
Health Resources and Services Administration Title V Maternal and Child Health Block GrantNational Center on Birth Defects and Developmental Disabilities U01 DD 001179NCBDD CDC HHS U01 DD001179
6 · The paper itself

Abstract

backgroundMaternal prepregnancy body mass index (BMI) is associated with several infant outcomes, but it is unclear whether these associations reflect causal relationships. We conducted a study of interpregnancy change in BMI (IPC-BMI) to improve understanding of the associations between BMI and large for gestational age (LGA), small for gestational age (SGA), and preterm birth (PTB).

methodsBirth certificate data from 2481 linked sibling pairs (Texas, 2005-2012) were used to estimate IPC-BMI and evaluate its association with LGA, SGA, and PTB in the younger sibling of the pair. Multivariable logistic regression was used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) using data from the full sample and within strata defined by prepregnancy BMI for the older sibling.

resultsOn average, women gained 1.1 BMI units between pregnancies. In the full sample, interpregnancy BMI decreases were associated with reduced odds of LGA and increased odds of SGA and PTB (IPC-BMI < -1 versus 0 to < 1: LGA aOR 0.7, 95% CI 0.4, 1.1; SGA aOR 1.6, 95% CI 1.0, 2.7; PTB aOR 1.9, 95% CI 1.3, 2.8). In stratified analyses, similar associations were observed in some, but not all, strata. Findings for interpregnancy BMI increases were less consistent, with little evidence for associations between these outcomes and the most extreme IPC-BMI increases.

conclusionsThere is growing evidence that interpregnancy BMI decreases are associated with LGA, SGA, and PTB. However, taken as a whole, the literature provides insufficient evidence to establish causal links between maternal BMI and these outcomes.

Indexed as

Birth WeightBody Mass IndexWeight GainAdultBirth IntervalsFemaleGestational AgeHumansInfant, NewbornInfant, Small for Gestational AgeLogistic ModelsMultivariate AnalysisObesityOdds RatioPregnancyPregnancy ComplicationsBody mass indexInterpregnancy weight changeLarge for gestational agePretermSmall for gestational age

Identifiers

PMID30953457
PMCPMC6451298
OpenAlexW2943000802

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.