Evidence map›Paper›PMID 38040432›Full record

ArticleBMJ open2023

Relationship Between Birth Weight and Asthma Diagnosis: A Cross-Sectional Survey Study Based on the National Survey of Children's Health in the U.S.

Meng Ni, Baihe Li, Qianqian Zhang, Jiuru Zhao, Wei Li, Sudong Qi, Qianwen Shen, Dongting Yao, Ze Chen, Tao Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. 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
1.0field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
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

15 authors at 1 institution in 1 country.

Meng Ni *International Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Baihe Li *International Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Qianqian ZhangInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Jiuru ZhaoInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Wei LiInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Sudong QiInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Qianwen ShenInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Dongting YaoInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Ze ChenInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Tao WangInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Xiya DingInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Zhenying LinInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Chunyu ChengInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China.
Zhiwei LiuInternational Peace Maternity and Child Health Hospital, School of Medicine,Shanghai Jiao Tong University, Shanghai, China chenhao_liu@outlook.com liuzhiwei@hotmail.com.ORCID 0000-0003-4926-1319
Hao ChenDepartments of Neonatology, Children's Hospital of Shanghai, School of Medicine, Shanghai Jiao Tong University, Shanghai, China chenhao_liu@outlook.com liuzhiwei@hotmail.com.
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the association between birth weight and childhood asthma risk using data from the 2019-2020 National Survey of Children's Health database.

designCross-sectional study.

settingThe USA. PATIENTS: A representative cohort of American children. EXPOSURE: The exposure of this study was birth weight regardless of gestational age. Birth weight was divided into three groups: <1500 g, 1500-2500 g and >2500 g.

main outcome measuresPrimary outcomes were parent-reported diagnosis of asthma.

methodThe Rao-Scott χ

resultsA total of 60 172 children aged 3-17 years were enrolled in this study; of these, 5202 (~8.6%) had asthma. Children with asthma were more likely to be born preterm, with low birth weight (LBW) or very LBW (VLBW). The incidence of asthma was the highest in VLBW children at 20.9% and showed a downward trend with an increase in birth weight class, with rates of 10.7% and 8.1% in the LBW and normal birthweight groups, respectively. Children with VLBW (OR 1.97; 95% CI 1.29 to 3.01) had higher odds of developing asthma in the adjusted analysis model. However, VLBW was only shown to be a risk factor for asthma among Hispanics, black/African-Americans and children between the ages of 6 and 12 years, demonstrating racial and age disparities.

conclusionsVLBW increases the risk of childhood asthma; however, racial and age disparities are evident.

Indexed as

AsthmaPremature BirthBirth WeightChildChild HealthCross-Sectional StudiesFemaleHumansInfant, NewbornInfant, Very Low Birth WeightUnited StatesAsthmaEPIDEMIOLOGIC STUDIESFetal medicine

Identifiers

PMID38040432
PMCPMC10693893
OpenAlexW4389219436

What OpenQuestion holds

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LicenceCC BY-NC
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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.