在纽约市怀孕队列中,化学物质暴露和饮食对出生结果的影响:通过有利的胎儿生长条件进行调解。

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-05-28 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0322399
Eunsil Seok, Akhgar Ghassabian, Yuyan Wang, Yelena Afanasyeva, Shilpi S Mehta-Lee, Kurunthachalam Kannan, Leonardo Trasande, Mengling Liu
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引用次数: 0

摘要

背景:胎儿生长是由父母特征、环境暴露、营养摄入和遗传易感性等复杂的相互作用形成的。在流行病学研究中,出生体重被广泛用作胎儿生长受损或良好的指标;但它无法提供一个全面的衡量标准,特别是如果单独使用的话。方法:在来自纽约大学儿童健康与环境研究(NYU CHES)的538对母胎队列中,我们使用多元线性回归和结构方程模型(SEM)来评估各种决定因素-母亲特征,化学暴露和饮食因素-对胎儿生长的影响。为了全面评估胎儿生长,我们采用了潜在变量有利胎儿生长条件(FFGC)的概念,以及三个观察结果:出生体重、出生长度和胎龄。结果:在线性回归和扫描电镜的FFGC中,母亲的身高、体重指数、种族/民族和母亲的酒精摄入量等特征与出生体重、出生长度和胎龄显著相关。然而,扫描电镜还揭示了线性回归未检测到的显著关系。其中,邻苯二甲酸二(2-乙基己基)酯(DEHP)潜在因子与FFGC呈负相关(β=-0.16, 95%可信区间(CI)=-0.27, -0.04)。饮食潜变量对FFGC有正向影响(β=0.15, 95% CI=0.04, 0.25),而总热量摄入对FFGC有负向影响(β=-0.13, 95% CI=-0.22, -0.05)。结论:扫描电镜提供了对化学混合物、饮食摄入和母亲特征等多种因素影响胎儿发育的多方面途径的透彻理解,揭示了在直接效应模型中不明显的细微关联。我们的研究结果强调了母体特征、化学物质暴露和饮食因素在塑造胎儿生长中的复杂相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Effects of chemical exposures and diet on birth outcomes in a New York City pregnancy cohort: Mediation through favorable fetal growth conditions.

Effects of chemical exposures and diet on birth outcomes in a New York City pregnancy cohort: Mediation through favorable fetal growth conditions.

Effects of chemical exposures and diet on birth outcomes in a New York City pregnancy cohort: Mediation through favorable fetal growth conditions.

Effects of chemical exposures and diet on birth outcomes in a New York City pregnancy cohort: Mediation through favorable fetal growth conditions.

Background: Fetal growth is shaped by a complex interplay of parental traits, environmental exposures, nutritional intake, and genetic predispositions. In epidemiological research, birth weight is widely used as a proxy of impaired or favorable fetal growth; but it fails to provide a comprehensive measure, particularly if used alone.

Methods: In a cohort of 538 mother-fetal pairs from the New York University Children's Health and Environment Study (NYU CHES), we utilized multiple linear regression and structural equation modeling (SEM) to assess the influence of various determinants-maternal characteristics, chemical exposures, and dietary factors-on fetal growth. To comprehensively evaluate fetal growth, we employed the concept of latent variable Favorable Fetal Growth Conditions (FFGC), together with three observed outcomes: birth weight, birth length, and gestational age.

Results: Maternal characteristics such as height, BMI, race/ethnicity, and maternal alcohol intake were significantly associated with birth weight, birth length, and gestational age in both the linear regression and with FFGC in the SEM. However, SEM additionally revealed significant relationships that were not detected by linear regression. Specifically, di(2-ethylhexyl) phthalate (DEHP) latent factor showed a negative association with the FFGC (β=-0.16, 95% confidence interval (CI)=-0.27, -0.04). The diet latent variable positively impacted FFGC (β=0.15, 95% CI=0.04, 0.25), whereas total calorie intake exhibited a negative effect (β=-0.13, 95% CI=-0.22, -0.05).

Conclusion: The SEM provided a thorough understanding of the multifaceted pathways through which multiple factors of chemical mixtures, diet intakes, and maternal characteristics affected fetal development, uncovering nuanced associations that were not apparent in direct effects models. Our findings highlight the intricate interplay of maternal characteristics, chemical exposures, and dietary factors in shaping fetal growth.

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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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