Evidence map›Paper›PMID 33549112›Full record

ArticleRespiratory research2021

Breastfeeding duration modified the effects of neonatal and familial risk factors on childhood asthma and allergy: a population-based study.

Yabin Hu, Yiting Chen, Shijian Liu, Fan Jiang, Meiqin Wu, Chonghuai Yan, Jianguo Tan, Guangjun Yu, Yi Hu, Yong Yin and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
5.3field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Yabin Hu *Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Pudong, Shanghai, 200127, China.
Yiting Chen *School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu, Shanghai, 200025, China.
Shijian LiuDepartment of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Pudong, Shanghai, 200127, China.
Fan JiangDepartment of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Meiqin WuShanghai Key Laboratory of Environmental and Child Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chonghuai YanShanghai Key Laboratory of Environmental and Child Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jianguo TanShanghai Key Laboratory of Meteorology and Health (Shanghai Meteorological Service), Shanghai, China.
Guangjun YuCenter for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China.
Yi HuCenter for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China.
Yong YinDepartment of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiajie QuShanghai Municipal Education Commission, Shanghai, China.
Shenghui LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu, Shanghai, 200025, China. lsh9907@163.com.
Shilu TongDepartment of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Pudong, Shanghai, 200127, China. tongshilu@scmc.com.cn.ORCID http://orcid.org/0000-0001-9579-6889
Shanghai Jiao Tong University · CNQueensland University of Technology · AUShanghai Children's Hospital · CNShanghai Meteorological Bureau · CNShanghai Municipal Education Commission · CN

Funding

National Natural Science Foundation of China 81874266, 81673183Science and Technology Commission of Shanghai Municipality 18411951600
6 · The paper itself

Abstract

backgroundChildhood asthma and allergic diseases are a significant global problem. There are inconsistent findings on the associations of delivery mode, the number of children in the household and breastfeeding with childhood asthma and allergic diseases. We assessed these associations and examined whether breastfeeding modified the effects of neonatal and familial risk factors on childhood asthma and allergic diseases.

methodsA population-based cross-sectional study was conducted in Shanghai, China. A total of 17 primary schools were randomly selected from 13 districts of Shanghai in this study. The International Study of Asthma and Allergies in Childhood questionnaire was adopted to assess the childhood asthma and allergic diseases. Multivariable logistic regression models were used to evaluate the associations between neonatal and familial factors and childhood asthma and allergic diseases, and to examine the modification effects of breastfeeding on the associations assessed.

resultsOf 10,464 primary school children aged 6-11 years, the overall prevalence of childhood asthma, allergic rhinitis, urticaria, food allergy and drug allergy was 13.9, 22.7, 15.3, 8.1 and 4.6%, respectively. Male sex, high socioeconomic status, cesarean section delivery, only one child in the household and having family history of allergy were associated with increased odds ratio (OR) of childhood asthma and allergic diseases while longer breastfeeding duration (> 6 months) was inversely associated with these diseases. Longer breastfeeding duration also attenuated the OR of neonatal and familial risk factors on childhood asthma and allergic diseases. For instance, the adjusted OR of childhood asthma in the group of vaginal delivery and breastfeeding duration > 6 months was lowest (0.78, 95% confidence interval: 0.66, 0.92).

conclusionsLonger breastfeeding duration was inversely associated with childhood asthma and allergic diseases, and also reduced the OR of neonatal and familial risk factors on these diseases. Giving the prevalence of childhood asthma and allergic diseases is rapidly rising across the globe, these findings may have important clinical and public health implications.

Indexed as

Population SurveillanceAsthmaBreast FeedingChildChinaCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseHumansInfantInfant, NewbornMaleRisk FactorsSurveys and QuestionnairesTime FactorsAllergic diseaseAssociationAsthmaBreastfeedingChildren

Identifiers

PMID33549112
PMCPMC7866653
OpenAlexW3122288139

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.