Evidence map›Paper›PMID 33154528›Full record

ArticleScientific reports2020

Novel sex-specific influence of parental factors on small-for-gestational-age newborns.

Meng Yuan Tian, Shi Wu Wen, Ravi Retnakaran, Hao Ren Wang, Shu Juan Ma, Meng Shi Chen, Xiao Lei Wang, Hui Jun Lin, Hong Zhuan Tan

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Meng Yuan TianXiangya School of Public Health, Central South University, Changsha, China.
Shi Wu WenOMNI Research Group, Department of Obstetrics and Gynecology, University of Ottawa, Ottawa, ON, Canada.
Ravi RetnakaranLeadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, ON, Canada.
Hao Ren WangXiangya School of Public Health, Central South University, Changsha, China.
Shu Juan MaXiangya School of Public Health, Central South University, Changsha, China.
Meng Shi ChenXiangya School of Public Health, Central South University, Changsha, China.
Xiao Lei WangXiangya School of Public Health, Central South University, Changsha, China.
Hui Jun LinXiangya School of Public Health, Central South University, Changsha, China.
Hong Zhuan TanXiangya School of Public Health, Central South University, Changsha, China. tanhz99@qq.com.

Funding

CIHR MOP 115183CIHR MOP 86562
6 · The paper itself

Abstract

Since fetal programming is sex-specific, there may also be sex-specific in parental influences on newborn birth weight. We aimed to investigate the influence of parental factors on small-for-gestational-age (SGA) infants of different sexes. Based on a pre-pregnancy cohort, multivariate logistic regression was used. 2275 couples were included for analysis. Significant associations were observed among paternal height, pre-pregnancy body mass index (BMI), and SGA in male infants; among maternal height, pre-pregnancy BMI, and SGA in female infants, and among other maternal factors and SGA in both male and female infants. Such sex specificity may be related to genetic, epigenetic, or hormonal influences between parents and infants. In conclusion, there is a sex specificity in the effect of parental height and pre-pregnancy BMI on SGA. The data suggest that future studies on infants should consider the sex-specific differences between the effects of genetic or environmental factors and infants.

Indexed as

Body Mass IndexInfant, Small for Gestational AgeParentsAdultBirth WeightBody HeightFemaleFetal DevelopmentGestational AgeHumansInfant, NewbornMalePregnancyRisk Factors

Identifiers

PMID33154528
PMCPMC7644766

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.