Evidence map›Paper›PMID 40640972›Full record

ArticleItalian journal of pediatrics2025

The impact of maternal health and lifestyle on low birth weight: a prospective cohort study.

Xiaorui Ruan, Kebin Chen, Ziye Li, Jianhui Wei, Ye Chen, Qi Zou, Yuan Peng, Manjun Luo, Mengting Sun, Tingting Wang and 1 more

Abstract read
In one paragraph

Article in Italian journal of pediatrics, 2025. 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

11 authors.

Xiaorui RuanDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Kebin ChenDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Ziye LiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Jianhui WeiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Ye ChenDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Qi ZouDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Yuan PengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Manjun LuoDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Mengting SunDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China.
Tingting WangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410013, China. wangting91123@126.com.ORCID http://orcid.org/0000-0002-6440-4827
Jiabi QinDepartment of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, 650500, China. qinjiabi123@163.com.ORCID http://orcid.org/0000-0002-9360-4991

Funding

Hunan Provincial Science and Technology Talent Support Project 2020TJ-N07Key Research and Development Program of Hunan Province of China 2018SK2063National Natural Science Foundation of China 82073653National Natural Science Foundation of China 82473644Natural Science Foundation of Hunan Province 2022JJ40207Open Project from NHC Key Laboratory of Birth Defect for Research and Prevention KF2020006Outstanding Youth Scientist Foundation of Hunan Province 2022JJ10087
6 · The paper itself

Abstract

backgroundTo explore maternal pregestational and periconceptional factors associated with low birth weight in offspring and inform the development of targeted interventions.

methodsA prospective birth cohort involving 34,104 pregnant women and their offspring was constructed. The participants were enrolled during 8-14 gestational weeks and followed up at 3 months postpartum. Modified Poisson regression with robust error variances was employed to examine the associations between low birth weight and various maternal factors, including demographics, medical history, obstetric factors, lifestyle behaviors, nutrition, and environmental exposures.

resultsThe incidence of low birth weight was 8.9% (95%CI: 8.6-9.2). Maternal demographic factors, including advanced gestational age (≥ 35 years, RR = 1.14), urban residence (RR = 1.74) and a lower education level, were found to be associated with low birth weight. Pregestational medical and behavioral factors significantly increased the risk of low birth weight, including multiparity, a history of preterm birth, diseases such as tuberculosis and syphilis, and alcohol consumption (RRs: 1.71, 1.56, 2.27, 2.25, and 1.54, respectively). Additionally, periconceptional factors also significantly contributed to low birth weight, including medical factors (infections, gestational complications such as preeclampsia, a lack of folic acid supplementation; RRs: 2.36, 5.97, 1.48), nutritional factors (being underweight before conception, weight gain < 10 kg during pregnancy, imbalanced diet; RRs: 1.59, 2.42, 1.34), behavioral factors (alcohol consumption and moderate-to-high physical activity; RRs: 1.23 and 1.22), and exposure to renovation pollutants (RR = 1.21). Overall, observed modifiable risk factors accounted for 40.92% of low birth weight cases, with a greater proportion found in mothers with advanced gestational age than in those under 35 years (44.61% vs. 31.91%). Among these factors, achieving adequate weight gain during pregnancy (≥ 10 kg) could prevent 20.59% (18.68-22.45) of cases. Furthermore, the incidence of low birth weight may be effectively reduced through maintaining a balanced diet, supplementing folic acid, and avoiding excessive physical activity during pregnancy.

conclusionsMothers at risk for delivering low-birth-weight infants can be identified based on pregestational and periconceptional factors. This could be prevented through targeted interventions, including nutritional and behavioral measures. Tailored interventions should be prioritized by antenatal care providers.

trial registrationThe study was retrospectively registered in Chinese Clinical Trial Registry Center on 06/14/2018, registration number: ChiCTR1800016635, available at: https://www.chictr.org.cn/showproj.html?proj=28300 .

Indexed as

Infant, Low Birth WeightLife StyleMaternal HealthAdultChinaFemaleHumansIncidenceInfant, NewbornMalePregnancyProspective StudiesRisk FactorsYoung AdultAssociated factorGestational complicationGestational nutritionLifestyle behaviorLow birth weightPopulation attributable fractionPreterm birth

Identifiers

PMID40640972
PMCPMC12247386

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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.