子宫内暴露于环境毒物的婴儿生长动力学的贝叶斯分析。

IF 1.3 4区 数学 Q2 STATISTICS & PROBABILITY Annals of Applied Statistics Pub Date : 2019-03-01 Epub Date: 2019-04-10 DOI:10.1214/18-aoas1199
Jonggyu Baek, Bin Zhu, Peter X K Song
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引用次数: 0

摘要

从出生到3岁的早期婴儿期对婴儿的认知、情绪和社会发展至关重要。在此期间,婴儿的发育速度和结果可能会受到子宫内暴露于内分泌干扰化合物(EDCs)的影响,如双酚A(BPA)和邻苯二甲酸酯。在一项出生队列研究中,我们研究了十种普遍存在的EDC对婴儿体重指数(BMI)生长动力学的影响。建立增长加速模型是为了通过一类半参数随机速度模型来理解“增长力”。这种动态模型的巨大灵活性使我们能够捕捉特定受试者的生长轨迹动态,并评估EDC对潜在生长延迟的影响。我们采用了一种贝叶斯方法,以Ornstein-Uhlenbeck过程作为生长率函数的先验,其中世界卫生组织全球婴儿的生长曲线被整合到我们的分析中。我们发现,在妊娠早期暴露的BPA和大多数邻苯二甲酸酯与BMI增长加速呈负相关,导致婴儿BMI峰值的实现延迟。据报道,这种早期生长缺陷对青春期(如性成熟时间)和成年期的健康结果产生了深远影响。
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BAYESIAN ANALYSIS OF INFANT'S GROWTH DYNAMICS WITH IN UTERO EXPOSURE TO ENVIRONMENTAL TOXICANTS.

Early infancy from at-birth to 3 years is critical for cognitive, emotional and social development of infants. During this period, infant's developmental tempo and outcomes are potentially impacted by in utero exposure to endocrine disrupting compounds (EDCs), such as bisphenol A (BPA) and phthalates. We investigate effects of ten ubiquitous EDCs on the infant growth dynamics of body mass index (BMI) in a birth cohort study.Modeling growth acceleration is proposed to understand the "force of growth" through a class of semiparametric stochastic velocity models. The great flexibility of such a dynamic model enables us to capture subject-specific dynamics of growth trajectories and to assess effects of the EDCs on potential delay of growth. We adopted a Bayesian method with the Ornstein-Uhlenbeck process as the prior for the growth rate function, in which the World Health Organization global infant's growth curves were integrated into our analysis. We found that BPA and most of phthalates exposed during the first trimester of pregnancy were inversely associated with BMI growth acceleration, resulting in a delayed achievement of infant BMI peak. Such early growth deficiency has been reported as a profound impact on health outcomes in puberty (e.g., timing of sexual maturation) and adulthood.

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来源期刊
Annals of Applied Statistics
Annals of Applied Statistics 社会科学-统计学与概率论
CiteScore
3.10
自引率
5.60%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.
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