Evidence map›Paper›PMID 41462270›Full record

ArticleBMC medicine2025

Prenatal exposure to hyperglycemia and child growth trajectories in the first 3 years of life: a prospective birth cohort.

Yiyuan Chen, Xia Chi, Shuting Wu, Jing Wei, Zheng Yong, Hong Lv, Yuanyan Dou, Yuxin Liu, Xin Xu, Rui Qin and 12 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

22 authors.

Yiyuan Chen *State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Xia Chi *Department of Child Health Care, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, China.
Shuting Wu *State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Jing Wei *Department of Obstetrics and Gynecology, Taizhou People's Hospital, Affiliated to Nanjing Medical University, Taizhou, Jiangsu, China.
Zheng YongState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Hong LvState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Yuanyan DouState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Yuxin LiuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Xin XuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Rui QinState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Xiaoyu LiuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Xiumei HanState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Bo XuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Kun ZhouState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Yangqian JiangState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Tao JiangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Hongxia MaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Yuan LinState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Kan YeDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China. yekan001@163.com.
Zhibin HuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China. zhibin_hu@njmu.edu.cn.
Jiangbo DuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China. dujiangbo@njmu.edu.cn.
CNBC Group

Funding

National Key Research and Development Program of China 2021YFC2700600National Key Research and Development Program of China 2021YFC2700705National Natural Science Foundation of China 82103854National Natural Science Foundation of China 82373581National Natural Science Foundation of China 82574115National Science and Technology Major Project 2024ZD0532103
6 · The paper itself

Abstract

backgroundInfants exposed to hyperglycemia in pregnancy (HIP) in utero are known to have higher risks of macrosomia at birth and obesity in adulthood, but longitudinal growth patterns in early childhood remain poorly characterized. This study aimed to examine HIP-associated differences in early childhood growth trajectories.

methodsIn the population-based prospective Jiangsu Birth Cohort (JBC) study, 8780 children (23.3% HIP exposed) were included. Linear mixed models were used to assess the associations of maternal HIP with repeated growth measures in children. Latent class mixed models (LCMM) were used to identify trajectories for weight-for-age (WAZ), length/height-for-age (LAZ) and weight-for-length z-scores (WFL). Models were fitted to the full 0-36-month age range, with measurements at ages 0, 3, 6, 8, 12, 18, 24, 30, and 36 months, respectively. Adjusted associations between maternal HIP and child trajectory classes were evaluated with modified Poisson regression.

resultsA higher proportion of LGA in the HIP-exposed group was observed. During the follow-up period from birth to 36 months, maternal HIP was associated with lower WAZ (aβ = - 0.075, 95% CI: - 0.117, - 0.034), LAZ (aβ = - 0.054, 95% CI: - 0.099, - 0.009), and WFL (aβ = - 0.061, 95% CI: - 0.100, - 0.022) in children. HIP was also correlated with reduced weight and body mass index (BMI) growth velocity at 0-3 and 6-8 months. Three distinct trajectory groups were identified, namely, moderate-stable, high-decreasing and low-increasing group. HIP exposed children were more likely to follow the high-decreasing WFL trajectory (aRR = 1.14, 95% CI: 1.01, 1.29).

conclusionsMaternal HIP was associated with slower growth in early childhood and an increased likelihood of following a high-decreasing growth trajectory, suggesting its potential long-term implications for child growth regulation.

Indexed as

Child DevelopmentHyperglycemiaPrenatal Exposure Delayed EffectsAdultBirth CohortChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMalePregnancyProspective StudiesCatch-down growthCohort studyHyperglycemia in pregnancyInfant growth trajectoriesLatent class mixed model

Identifiers

PMID41462270
PMCPMC12750834

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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.