Prenatal exposure to PM2.5 and its composition on child growth trajectories in the first two years: A prospective birth cohort study

IF 7.6 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Pollution Pub Date : 2024-09-05 DOI:10.1016/j.envpol.2024.124896
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Abstract

The findings on the relationship between prenatal exposure to particulate matter with aerodynamic diameter ≤2.5 μm (PM2.5) and its constituent and children's growth trajectories are inconsistent. This association's sensitive exposure time window and possible gender differences remain unclear. Our aim was to determine the association between prenatal exposure to PM2.5 and its component and children's growth trajectories by the age of two. From 2015 to 2021, 6407 mother-infant pairs were enrolled in the study. The PM2.5 include sulfate (SO42−), nitrate (NO3), ammonium (NH4+), organic matter (OM), and black carbon (BC), from the ChinaHighAirPollutants (CHAP) datasets. Children were followed at birth, 1, 3, 6, 9, 12, 18, and 24 months. Population-based and individual-based methods were used to simulate child growth trajectories: slow growth, normal growth, and rapid growth. The distributed lags modeling was used to identify sensitive time windows for the effects of prenatal exposure to PM2.5 and its components on child growth. Sex-stratified analyses estimated sex differences. Median concentrations [interquartile ranges (IQRs)] were 57.46(17.3), 10.59(3.8), 14.26(4.4), 8.69(2.8), 13.05(3.4), and 2.53(0.7) μg/m3 for PM2.5, SO42−, NO3, NH4+, OM, and BC, respectively. Compared with the normal growth trajectory group, exposure to PM2.5 was significantly associated with a higher risk of rapid growth trajectory in boys (ORs with 95% CI for the entire, first trimester, and second trimester of pregnancy, respectively: 1.016[1.006,1.025], 1.007[1.002,1.011], 1.007[1.002,1.011]). Exposure to PM2.5 was significantly associated with a higher risk of slow growth trajectory in girls (ORs with 95% CI for the entire, second trimester, and third trimester of pregnancy, respectively: 1.010 [1.001,1.018], 1.006 [1.001,1.011], 1.007 [1.002,1.012]). Prenatal PM2.5 and its composition exposure was positively associated with BMI peak in boys (βs with 95% CI for PM2.5, SO42−, NO3, NH4+, OM, BC: 0.004[0.000,0.007], 0.025[0.006,0.044], 0.012[0.002,0.023], 0.022[0.004,0.039], 0.016[0.001,0.031], 0.082[0.005,0.159]), and not statistically significant in girls. We observed a more pronounced BC effect in our cohort. Prenatal exposure to PM2.5 and its component, especially at 10–22 weeks of gestation, is associated with a higher risk of rapid growth in boys and a risk of slow growth in girls.

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产前接触 PM2.5 及其成分对儿童头两年生长轨迹的影响:一项前瞻性出生队列研究。
关于产前暴露于空气动力学直径≤2.5 μm的颗粒物(PM2.5)及其成分与儿童生长轨迹之间关系的研究结果并不一致。这种关联的敏感暴露时间窗和可能的性别差异仍不清楚。我们的目的是确定产前暴露于PM2.5及其成分与儿童两岁前的生长轨迹之间的关系。从 2015 年到 2021 年,共有 6407 对母婴参加了这项研究。PM2.5包括硫酸盐(SO42-)、硝酸盐(NO3-)、铵盐(NH4+)、有机物(OM)和黑碳(BC),来自中国高空气污染物(CHAP)数据集。在儿童出生、1、3、6、9、12、18 和 24 个月时对其进行了跟踪调查。采用基于人群和个体的方法来模拟儿童的生长轨迹:缓慢生长、正常生长和快速生长。分布式滞后模型用于确定产前暴露于PM2.5及其成分对儿童生长影响的敏感时间窗。性别分层分析估计了性别差异。PM2.5、SO42-、NO3-、NH4+、OM和BC的中位浓度[四分位数间距(IQR)]分别为57.46(17.3)、10.59(3.8)、14.26(4.4)、8.69(2.8)、13.05(3.4)和2.53(0.7)微克/立方米。与正常生长轨迹组相比,暴露于 PM2.5 与男孩出现快速生长轨迹的较高风险显著相关(整个孕期、怀孕头三个月和怀孕后三个月的 ORs 与 95% CI 分别为:1.016[1.00][1.00]):1.016[1.006,1.025], 1.007[1.002,1.011], 1.007[1.002,1.011]).暴露于PM2.5与女孩生长缓慢的风险较高有显著相关性(整个怀孕期、怀孕期后三个月和怀孕期后三个月的ORs及95%CI分别为1.010 [1.001,1.018], 1.006 [1.001,1.011], 1.007 [1.002,1.012]).产前接触 PM2.5 及其成分与男孩的 BMI 峰值呈正相关(PM2.5、SO42-、NO3-、NH4+、OM、BC 的 βs 与 95% CI:0.004[0.000,0.007],0.025[0.006,0.044],0.012[0.002,0.023],0.022[0.004,0.039],0.016[0.001,0.031],0.082[0.005,0.159]),而在女孩中没有统计学意义。在我们的队列中,我们观察到了更明显的BC效应。产前暴露于PM2.5及其成分(尤其是在妊娠10-22周时)与男孩快速生长的风险较高和女孩生长缓慢的风险较高有关。
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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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