Evidence map›Paper›PMID 37485032›Full record

ArticleThe journal of allergy and clinical immunology. Global2023

Maternal asthma in relation to infant size and body composition.

Danielle R Stevens, Edwina Yeung, Stefanie N Hinkle, William Grobman, Andrew Williams, Marion Ouidir, Rajesh Kumar, Leah M Lipsky, Matthew C H Rohn, Jenna Kanner and 3 more

Abstract read
In one paragraph

Article in The journal of allergy and clinical immunology. Global, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

13 authors.

Danielle R StevensEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park.
Edwina YeungEpidemiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda.
Stefanie N HinkleEpidemiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda.
William GrobmanWexner Medical Center, The Ohio State University, Columbus.
Andrew WilliamsSchool of Medicine and Health Sciences, University of North Dakota, Grand Forks.
Marion OuidirEpidemiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda.
Rajesh KumarFeinberg School of Medicine, Northwestern University, Chicago.
Leah M LipskyEpidemiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda.
Matthew C H RohnEpidemiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda.
Jenna KannerEpidemiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda.
Seth ShermanEmmes Company, Rockville.
Zhen ChenBiostatistics Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda.
Pauline MendolaEpidemiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda.

Funding

NICHD NIH HHS HHSN275201300013CNICHD NIH HHS HHSN275201300014CNICHD NIH HHS HHSN275201300026I
6 · The paper itself

Abstract

Background: Asthma affects 10% of pregnancies and may influence offspring health, including infant size and body composition, through hypoxic and inflammatory pathways. Objective: We sought to determine associations between maternal asthma and asthma phenotypes during pregnancy and infant size and body composition. Methods: The B-WELL-Mom study (2015-19) is a prospective cohort of 418 pregnant persons with and without asthma recruited in the first trimester of pregnancy from 2 US obstetric clinics. Exposures were maternal self-reported active asthma (n = 311) or no asthma (n = 107), and asthma phenotypes were classified on the bases of atopy, onset, exercise induced, control, severity, symptomology, and exacerbations. Outcomes were infant weight, length, head circumference, and skinfold measurements at birth and postnatal follow-up, as well as fat and lean mass assessed by air displacement plethysmography at birth. Adjusted multivariable linear regression examined associations of maternal asthma and asthma phenotypes with infant outcomes. Results: Offspring were born at a mean ± SD of 38 ± 2.3 weeks' gestation and were 18 ± 2.2 weeks of age at postnatal follow-up. Infants of participants with asthma had a mean ± SD fat mass of 11.0 ± 4.2%, birth weight of 3045.8 ± 604.3 g, and postnatal follow-up weight of 6696.4 ± 964.2 g, which were not different from infants of participants without asthma (respectively, β [95% confidence interval]: -0.1 [-1.4, 1.3], -26.7 [-156.9, 103.4], and 107.5 [-117.3, 332.3]). Few associations were observed between asthma or asthma phenotypes and infant size or body composition. Conclusions: In a current obstetric cohort, maternal asthma during pregnancy was not associated with differential infant size or body composition.

Indexed as

adiposityanthropometryasthmaatopyInfantpregnancyprospective study

Identifiers

PMID37485032
PMCPMC10361394

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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.