产前全氟和多氟烷基物质混合物和出生至12个月的体重：新罕布什尔州出生队列研究

IF 8 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Science of the Total Environment Pub Date : 2025-04-30 DOI:10.1016/j.scitotenv.2025.179446

Gyeyoon Yim , Caitlin G. Howe , Lisa G. Gallagher , Diane Gilbert-Diamond , Antonia M. Calafat , Julianne Cook Botelho , Margaret R. Karagas , Megan E. Romano

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引用次数: 0

摘要

目的探讨产前全氟和多氟烷基物质（PFAS）混合物血浆浓度与出生尺寸和出生后人体测量的联合关系。材料和方法目前的研究包括来自新罕布什尔州出生队列研究的641对母子。在妊娠期间（中位数：妊娠28周）收集的母体血浆样本中，对PFAS浓度进行量化。婴儿体重和身高信息从医疗记录中提取，并根据世界卫生组织的标准曲线转换为性别和年龄标准化的身高体重z分数。使用贝叶斯核机回归（BKMR）研究怀孕期间多种PFAS浓度与出生、6个月和12个月时体重/长度z评分的联合关系。为了解释纵向结果，我们还拟合了PFAS暴露负担评分（一种量化PFAS混合物总暴露负担的新方法）与出生至12个月体重/长度变化之间的线性混合效应模型。采用乘法交互项（“PFAS负担评分×时间[出生作为参考，6个月和12个月]”）来评估潜在的时变关系。所有模型都根据产妇年龄、教育程度、婚姻状况、胎次、吸烟、海鲜消费、孕前体重指数和妊娠周抽血进行了调整。结果在BKMR模型中，95%可信区间均包含零值。在线性混合效应模型中，PFAS暴露负担评分与较低的体重长度z评分相关(β = - 0.20；95%置信区间= - 0.35,- 0.04)。乘法交互项在6月龄和12月龄均显著(P <；两个时间点均为0.01)，特别是在女婴中，这表明产前PFAS混合物与婴儿体重长度z分数之间的正相关转变。结论产前PFAS混合剂对胎儿和婴儿人体测量的影响可能因生命阶段和生理性别的不同而不同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Prenatal per- and polyfluoroalkyl substance mixtures and weight for length from birth to 12 months: The New Hampshire Birth Cohort Study

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Prenatal per- and polyfluoroalkyl substance mixtures and weight for length from birth to 12 months: The New Hampshire Birth Cohort Study

Objective

To examine the joint associations of plasma concentrations of prenatal per- and polyfluoroalkyl substances (PFAS) mixtures with birth size and postnatal anthropometry measures.

Material and methods

The current study included 641 mother-child dyads from the New Hampshire Birth Cohort Study. PFAS concentrations were quantified in maternal plasma samples collected during pregnancy (median: 28 weeks of gestation). Information on infant weight and length were abstracted from medical records and converted to sex- and age-standardized weight-for-length z-score according to the World Health Organization standard curves. Bayesian kernel machine regression (BKMR) was used to investigate the joint associations of multiple PFAS concentrations during pregnancy with weight-for-length z score at birth, 6-months, and 12-months. To account for longitudinal outcomes, we also fit linear mixed effect models between PFAS exposure burden score, a novel method to quantify total exposure burden to PFAS mixtures, and changes in weight-for-length from birth to 12 months of age. A multiplicative interaction term (“PFAS burden score

\times

time [birth as a reference, 6 months, and 12 months of age]”) was included to evaluate a potential time-varying relationship. All models were adjusted for maternal age, education, marital status, parity, smoking, seafood consumption, pre-pregnancy body mass index, and gestational week of blood draw.

Results

In BKMR models, all 95 % credible intervals included the null value. In linear mixed effects models, PFAS exposure burden score was associated with a lower weight-for-length z-score (β = −0.20; 95 % confidence interval = −0.35, −0.04). The multiplicative interaction term was significant at both 6 and 12 months of age (P < 0.01 for both time points), particularly among female infants, suggesting a shift toward positive associations between the prenatal PFAS mixtures and weight-for-length z-score during infancy.

Conclusions

Prenatal PFAS mixtures may affect fetal and infant anthropometry measures differently by life stage and biological sex.

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来源期刊

Science of the Total Environment 环境科学-环境科学

CiteScore

17.60

自引率

10.20%

发文量

8726

审稿时长

2.4 months

期刊介绍： The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.