The joint effects of prenatal exposure to PM2.5 constituents and reduced fetal growth on children's accelerated growth in the first 3 years: a birth cohort study.

IF 4.1 3区 医学 Q2 ENVIRONMENTAL SCIENCES Journal of Exposure Science and Environmental Epidemiology Pub Date : 2024-03-26 DOI:10.1038/s41370-024-00658-x
Shuang Zhou, Tiantian Li, Na Han, Kai Zhang, Gongbo Chen, Yi Zhang, Qin Li, Yuelong Ji, Jue Liu, Hui Wang, Jianlin Hu, Ting Liu, Hein Raat, Yuming Guo, Haijun Wang
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Abstract

Background: Prenatal fine particulate matter (PM2.5) constituents exposure and reduced fetal growth may be risk factors for accelerated growth in early childhood, an important indicator for lifelong health.

Objective: The study investigated whether the joint effects are present between PM2.5 constituents and reduced fetal growth.

Methods: The study was embedded in a birth cohort in China, including 5424 mother-child pairs. Prenatal PM2.5 and its constituents' [organic carbon (OC), elementary carbon (EC), ammonium (NH4+), nitrate (NO3-), and sulfate (SO42-)] concentrations were estimated based on maternal residential addresses. Fetal growth was evaluated by fetal growth trajectory in utero and preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA). Children's accelerated growth was defined as body mass index (BMI) Z-score change of >0.67 between birth and 3 years. Generalized logistic regression was used to analyze the effects of prenatal PM2.5 constituents exposure and fetal growth on children's accelerated growth. Joint effect was tested on multiplicative scale and additive scale with the relative excess risk due to interaction (RERI).

Results: Children with lower fetal growth trajectory, PTB, LBW, and SGA had increased odds of children's accelerated growth, with odds ratios (ORs) ranging from 1.704 to 11.605. Compared with lower exposure (≤median), higher exposure (>median) of PM2.5, OC, and SO42- were significantly associated with increased odds of children's accelerated growth, varying in ORs from 1.163 to 1.478. Prenatal exposure to OC had joint effects with lower fetal growth on children's accelerated growth. We observed that the interaction was statistically significant on an additive scale in OC and lower fetal growth trajectory (RERI: 0.497, 95% CI: 0.033,0.962).

Impact: Fine particulate matter (PM2.5) is a huge threat to human health worldwide, causing 6.7 million death globally in 2019. According to the theory of DOHaD, prenatal PM2.5 exposure could influence early childhood growth, which is important for lifelong health. We found that prenatal exposure to PM2.5, OC, and SO42- was associated with higher risk of accelerated childhood growth in the first 3 years. More importantly, reduced fetal growth moderated these associations. Our findings highlight the need for policies and interventions on PM2.5 constituents to improve lifelong health, especially for those vulnerable populations with reduced fetal growth.

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产前暴露于 PM2.5 成分和胎儿发育不良对儿童头 3 年加速生长的共同影响:一项出生队列研究。
背景:产前细颗粒物(PM2.5)成分暴露和胎儿生长减慢可能是儿童早期生长加速的风险因素,而儿童早期生长加速是终身健康的重要指标:该研究调查了 PM2.5 成分与胎儿生长减慢之间是否存在联合效应:方法:该研究嵌入了中国的出生队列,包括 5424 对母婴。产前 PM2.5 及其成分[有机碳(OC)、基本碳(EC)、铵(NH4+)、硝酸盐(NO3-)和硫酸盐(SO42-)]的浓度是根据产妇居住地址估算的。胎儿生长情况通过宫内胎儿生长轨迹、早产(PTB)、低出生体重(LBW)和小于胎龄(SGA)进行评估。儿童加速生长的定义是出生至 3 岁期间体重指数(BMI)Z 值变化大于 0.67。采用广义逻辑回归分析产前PM2.5成分暴露和胎儿生长对儿童加速生长的影响。结果显示,胎儿生长轨迹较低的儿童在出生后 3 岁时的生长速度较快,而生长轨迹较高的儿童在出生后 3 岁时的生长速度较慢:结果:胎儿生长轨迹较低、PTB、LBW 和 SGA 的儿童出现生长加速的几率增加,几率比(ORs)从 1.704 到 11.605 不等。与较低的PM2.5、OC和SO42-暴露量(≤中位数)相比,较高的PM2.5、OC和SO42-暴露量(>中位数)与儿童生长加速几率的增加有显著相关性,几率比从1.163到1.478不等。产前暴露于 OC 与胎儿较低的生长速度共同影响了儿童的加速生长。我们观察到,OC 与胎儿较低的生长轨迹之间的交互作用在统计学上具有显著的加法效应(RERI:0.497,95% CI:0.033,0.962):细颗粒物(PM2.5)是全球人类健康的巨大威胁,2019 年将导致全球 670 万人死亡。根据DOHaD理论,产前暴露于PM2.5会影响儿童的早期发育,而这对儿童的终生健康非常重要。我们发现,产前暴露于 PM2.5、OC 和 SO42- 与儿童头 3 年生长加速的较高风险有关。更重要的是,胎儿生长速度的降低缓和了这些关联。我们的研究结果突出表明,有必要制定有关 PM2.5 成分的政策和干预措施,以改善人们的终生健康,尤其是那些胎儿发育迟缓的弱势群体。
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来源期刊
CiteScore
8.90
自引率
6.70%
发文量
93
审稿时长
3 months
期刊介绍: Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines. JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.
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