Evidence map›Paper›PMID 40841750›Full record

ArticleScientific reports2025

A study on the correlation between pregnancy risk factors and birth outcomes.

Yan Li, Ying Zhao, Yang Wu, Gang Luo

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Yan LiLiaoning Maternal and Child Health Hospital, Shenyang, Liaoning, China.
Ying ZhaoLiaoning Maternal and Child Health Hospital, Shenyang, Liaoning, China.
Yang WuLiaoning Maternal and Child Health Hospital, Shenyang, Liaoning, China.
Gang LuoLiaoning Maternal and Child Health Hospital, Shenyang, Liaoning, China. sfy_lg@163.com.

Funding

Liaoning Provincial Natural Science Foundation 2024-BS-300Supported by LiaoNing Revitalization Talents Program XLYC2412090
6 · The paper itself

Abstract

Adverse birth outcomes-including low birth weight (LBW, < 2500 g), preterm birth (PTB, < 37 weeks), and intrauterine growth abnormalities-remain major global public health challenges, particularly in low- and middle-income countries. Although maternal body mass index (BMI) and gestational weight gain (GWG) are established risk factors in Western populations, their interactions with metabolic and sociodemographic factors in Asian cohorts, particularly within China's rapidly urbanizing populations, warrant further investigation. This prospective cohort study analyzed 1,026,294 singleton pregnancies (2012-2018) from the Liaoning Maternal and Child Health Information System. Using multivariate logistic regression models, we calculated adjusted risk ratios (RR) with 95% confidence intervals (CI) to evaluate associations between prenatal exposures… and birth outcomes: low birth weight (LBW), macrosomia (> 4000 g), Small-for-gestational-age (SGA, < 10th percentile), Large-for-gestational-age (LGA, > 90th percentile), PTB. Pre-pregnancy underweight (RR = 1.58, 95% CI 1.47-1.70), insufficient gestational weight gain (RR = 1.44, 95% CI 1.36-1.53), and preeclampsia (RR = 3.61, 95% CI 3.18-4.10) were strongly associated with low birth weight. For SGA, pre-pregnancy underweight (RR = 1.68, 95% CI 1.62-1.74) and insufficient GWG (RR = 1.40, 95% CI 1.29-1.51) were key predictors. Conversely, pre-pregnancy obesity (RR = 2.79, 95% CI 2.72-2.85) and excessive GWG (RR = 2.15, 95% CI 2.07-2.23) elevated macrosomia risk. PTB was strongly associated with pre-pregnancy obesity (RR = 1.29, 95% CI 1.25-1.33), assisted reproductive conception (RR = 3.39, 95% CI 3.01-3.83), and early-pregnancy hyperglycemia (RR = 1.19, 95% CI 1.15-2.22). Pre-pregnancy BMI, gestational weight gain (GWG), hypertensive disorders, and metabolic markers (e.g., fasting glucose, hemoglobin) constitute critical modifiable determinants of adverse birth outcomes. These findings quantify region-specific risk thresholds (e.g., 38.1% pre-pregnancy overweight/obesity vs. national 24.8%, Liaoning macrosomia 11.62% vs. national 8.9%) to prioritize GWG monitoring and metabolic screening in Northeast China's urban transition.

Indexed as

Pregnancy ComplicationsPregnancy OutcomeAdultBody Mass IndexChinaFemaleFetal MacrosomiaGestational Weight GainHumansInfant, Low Birth WeightInfant, NewbornInfant, Small for Gestational AgePregnancyPremature BirthProspective StudiesRisk FactorsAdverse birth outcomesGestational weight gainMaternal BMIMetabolic risk factorsPopulation-based cohortPreterm birth

Identifiers

PMID40841750
PMCPMC12371034

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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.