Urinary Concentrations of Bisphenol Mixtures during Pregnancy and Birth Outcomes: The MAKE Study

Seyoung Kim, Eunjung Park, Eun-Kyo Park, Seulbi Lee, Jeoung-A Kwon, Bo-Hye Shin, Sora Kang, Eun-Young Park and Byungmi Kim
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Seyoung Kim: National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea
Eunjung Park: Hanyang University Institute for Rheumatology Research, Seoul 04763, Korea
Eun-Kyo Park: Department of Occupational and Environmental Medicine, Ewha Medical Research Institute, Seoul 07804, Korea
Seulbi Lee: Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
Jeoung-A Kwon: Institute of Health Services Research, Yonsei University, Seoul 03722, Korea
Bo-Hye Shin: National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea
Sora Kang: Department of Medical Informatics, School of Medicine, Ajou University, Suwon 16499, Korea
Eun-Young Park: National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea
Byungmi Kim: National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea

IJERPH, 2021, vol. 18, issue 19, 1-13

Abstract: Bisphenols are endocrine disruptors that may be associated with altered fetal growth in humans, and they have similar biological functions to mimic hormones. In addition, aggregated chemicals showed an adverse effect although individual concentration was at a low level. However, most studies between bisphenols and birth outcomes have focused on the effect of individual bisphenol. Thus, we explored the associations of urinary bisphenol mixtures with birth outcomes. We conducted a prospective birth cohort study in South Korea. One hundred eighty mother-infant pairs were recruited from 2017 to 2019. Bisphenol A (BPA), bisphenol F (BPF), and bisphenol S (BPS) in one spot urine were analyzed using ultra-performance liquid chromatography–tandem mass spectrometry. We used two statistical approaches to examine potential associations of BPA, BPF, and BPS with birth weight and gestational age: (1) multivariable linear regression; (2) Bayesian kernel machine regression (BKMR). The geometric means of BPA, BPF, and BPS were 2.1, 0.2, and 0.1 ?g/L, respectively. In stratified linear analyses by each median value, a higher BPF was positively associated with birth weight (g) (? = 125.5; 95% CI: 45.0 to 205.9). Mixture analyses using BKMR suggested an inverse association between bisphenol mixtures and birth weight. Our findings suggest that in utero bisphenol exposure may influence birth weight and that such relationships may differ considering non-linearity and the combined effect.

Keywords: bisphenol; birth weight; birth outcome; mixtures analyses; Bayesian kernel machine regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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