Evidence map›Paper›PMID 32070407›Full record

ArticleItalian journal of pediatrics2020

Association between parity and macrosomia in Shaanxi Province of Northwest China.

Fangliang Lei, Lili Zhang, Yuan Shen, Yaling Zhao, Yijun Kang, Pengfei Qu, Baibing Mi, Shaonong Dang, Hong Yan

Abstract read
In one paragraph

Article in Italian journal of pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

9 authors.

Fangliang LeiDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.ORCID http://orcid.org/0000-0001-7056-6622
Lili ZhangShaanxi Provincial People's Hospital, Xi'an, 710068, Shaanxi, China. 782377048@qq.com.
Yuan ShenDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Yaling ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Yijun KangDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Pengfei QuAssisted Reproduction Center, Northwest women and children's Hospital, Xi'an, 710003, Shaanxi, China.
Baibing MiDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Shaonong DangDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Hong YanXi'an Jiaotong University, Health Science Center, Xi'an, 710061, Shaanxi, China. xjtu_yh.paper@aliyun.com.

Funding

Chinese National Natural Science Foundation for Young Scientists 81703245National Key R&D Program of China 2017YFC0907200, 2017YFC0907201National Natural Science Foundation of China 81230016Shaanxi Health and Family Planning Commission Sxwsjswzfcght2016-013Shaanxi natural science basic research 2014JM2-8153
6 · The paper itself

Abstract

objectiveTo explore the relationship between parity and macrosomia and provide the necessary reference for the maternal and children health service.

methodA cross-sectional epidemiological survey with the purpose to assess the birth outcomes was conducted in Shaanxi province, China.

resultsThe incidence of macrosomia in multiparas was higher than that in primiparas. Univariate analysis showed that maternal age < 25 years, peasant/housework, living in rural areas and female infants were the protective factors of macrosomia. The possibility of having a macrosomic infant also increased with gestational age, maternal education level, household wealth index, living in Central Shaanxi and gestational diabetes. The generalized linear mixed models represented the association between parity and macrosomia. After adjusting for statistically significant factors in univariate analysis from model 1 to model 3, the risk of being born macrosomia was 1.26 times higher for a multipara compared to that for a primipara.

conclusionsPresent study indicated parity of two children was associated with increased risk for macrosomic births compared with parity of one child. Compared to primiparas, multiparas should far strengthen the pre-pregnancy education and the guidance during pregnancy to control pre-pregnancy body mass index and pregnancy weight, and keep the appropriate exercise and balanced diet.

Indexed as

ParityAdultBody Mass IndexChinaCross-Sectional StudiesFemaleFetal MacrosomiaHumansIncidenceMaternal AgePregnancyRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesYoung AdultAssociationMacrosomiaMultiparaParityPrimipara

Identifiers

PMID32070407
PMCPMC7029605

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LicenceCC BY
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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.