دورية أكاديمية
Bayesian analysis of infant’s growth dynamics with in utero exposure to environmental toxicants
| العنوان: | Bayesian analysis of infant’s growth dynamics with in utero exposure to environmental toxicants |
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| المؤلفون: | Baek, Jonggyu, Zhu, Bin, Song, Peter X. K. |
| بيانات النشر: | The Institute of Mathematical Statistics |
| سنة النشر: | 2019 |
| المجموعة: | Project Euclid (Cornell University Library) |
| مصطلحات موضوعية: | Body mass index, Markov chain Monte Carlo (MCMC), Ornstein–Uhlenbeck process, prenatal exposure, semiparametric stochastic velocity model |
| الوصف: | 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. |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1932-6157 1941-7330 |
| العلاقة: | https://projecteuclid.org/euclid.aoas/1554861650Test; Ann. Appl. Stat. 13, no. 1 (2019), 297-320 |
| DOI: | 10.1214/18-AOAS1199 |
| الإتاحة: | https://doi.org/10.1214/18-AOAS1199Test https://projecteuclid.org/euclid.aoas/1554861650Test |
| حقوق: | Copyright 2019 Institute of Mathematical Statistics |
| رقم الانضمام: | edsbas.A79C4FBC |
| قاعدة البيانات: | BASE |
| تدمد: | 19326157 19417330 |
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| DOI: | 10.1214/18-AOAS1199 |