PMID- 35810818
OWN - NLM
STAT- MEDLINE
DCOM- 20220830
LR  - 20220928
IS  - 1096-0953 (Electronic)
IS  - 0013-9351 (Linking)
VI  - 214
IP  - Pt 1
DP  - 2022 Nov
TI  - Associations of prenatal exposure to perfluoroalkyl substances with preterm 
      birth: A family-based birth cohort study.
PG  - 113803
LID - S0013-9351(22)01130-6 [pii]
LID - 10.1016/j.envres.2022.113803 [doi]
AB  - Studies have investigated associations between maternal exposure to PFAS and 
      preterm birth, but the impact of paternal and overall family exposure to PFAS 
      mixtures on preterm birth remains unknown. To address this knowledge gap, a total 
      of 355 preterm births and 481 controls were selected for a family-based birth 
      cohort study in a coastal area of China, between 2016 and 2018. Seven PFAS, 
      including perfluorobutanoic acid (PFBA), perfluorohexanoic acid (PFHxA), 
      perfluorohexanesulfonic acid (PFHxS), perfluorooctanoic acid (PFOA), 
      perfluorooctanesulfonic acid (PFOS), perfluorononanoic acid (PFNA) and 
      perfluorodecanoic acid (PFDA), were quantified in maternal, paternal and neonatal 
      sera. Preterm birth was defined as live delivery at <37 completed gestational 
      weeks. Bayesian kernel machine regression (BKMR) model was used to inspect the 
      combined effect of family PFAS mixtures. Latent class analysis was used to 
      identify family-level PFAS exposure profiles. Multiple linear regression analysis 
      showed higher odds of preterm birth in association with higher maternal PFBA 
      (OR = 1.16, 95%CI:1.09, 1.25), PFOA (OR = 1.51, 95%CI:1.27, 1.80), PFOS 
      (OR = 2.07, 95%CI:1.70, 2.52) and PFNA (OR = 1.36, 95%CI: 1.01, 1.83), and 
      neonatal PFBA (OR = 1.16, 95%CI:1.05,1.29), PFHxA (OR = 1.46, 95%CI:1.32, 1.62), 
      PFHxS (OR = 1.15, 95%CI:1.05, 1.26) and PFNA (OR = 1.30, 95%CI:1.09,1.56). The 
      associations were reversed between individual paternal PFAS exposures and preterm 
      birth. At the family level, higher PFAS mixture concentration was associated with 
      higher odds of preterm birth. In particular, higher PFNA and PFDA exposure was 
      associated with greater preterm birth risk (OR = 2.55, 95%CI:1.45, 4.50). The 
      PFAS-preterm association was modified by family-level seafood consumption. Our 
      results suggest that higher family-level PFNA and PFDA exposure was associated 
      with greater preterm birth risk, although the results for individual paternal, 
      maternal and neonatal PFAS exposures were contradictory. If replicated in other 
      coastal areas, these findings highlight a need to focus on the family triad and 
      to consider seafood consumption when assessing the reproductive toxicity of PFAS 
      exposure.
CI  - Copyright (c) 2022 Elsevier Inc. All rights reserved.
FAU - Yu, Yunjiang
AU  - Yu Y
AD  - State Environmental Protection Key Laboratory of Environmental Pollution Health 
      Risk Assessment, South China Institute of Environmental Sciences, Ministry of 
      Environmental Protection, Guangzhou, 510655, China.
FAU - Qin, Xiao-Di
AU  - Qin XD
AD  - Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 
      511436, China.
FAU - Bloom, Michael S
AU  - Bloom MS
AD  - Department of Global and Community Health, George Mason University, Fairfax, VA, 
      22030, USA.
FAU - Chu, Chu
AU  - Chu C
AD  - Guangdong Provincial Engineering Technology Research Center of Environmental 
      Pollution and Health Risk Assessment, Department of Occupational and 
      Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 
      510080, China.
FAU - Dai, Xin
AU  - Dai X
AD  - Allergy and Lung Health Unit, Center for Epidemiology and Biostatistics, School 
      of Population & Global Health, The University of Melbourne, Melbourne, VIC, 3010, 
      Australia.
FAU - Li, Qin-Qin
AU  - Li QQ
AD  - Guangdong Provincial Engineering Technology Research Center of Environmental 
      Pollution and Health Risk Assessment, Department of Occupational and 
      Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 
      510080, China.
FAU - Chen, Zan-Xiong
AU  - Chen ZX
AD  - Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of 
      Maoming City, Maoming, 525000, Guangdong, China.
FAU - Kong, Min-Li
AU  - Kong ML
AD  - Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of 
      Maoming City, Maoming, 525000, Guangdong, China.
FAU - Xie, Yan-Qi
AU  - Xie YQ
AD  - Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of 
      Maoming City, Maoming, 525000, Guangdong, China.
FAU - Meng, Wen-Jie
AU  - Meng WJ
AD  - State Environmental Protection Key Laboratory of Environmental Pollution Health 
      Risk Assessment, South China Institute of Environmental Sciences, Ministry of 
      Environmental Protection, Guangzhou, 510655, China.
FAU - Yang, Bo-Yi
AU  - Yang BY
AD  - Guangdong Provincial Engineering Technology Research Center of Environmental 
      Pollution and Health Risk Assessment, Department of Occupational and 
      Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 
      510080, China.
FAU - Hu, Li-Wen
AU  - Hu LW
AD  - Guangdong Provincial Engineering Technology Research Center of Environmental 
      Pollution and Health Risk Assessment, Department of Occupational and 
      Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 
      510080, China.
FAU - Zeng, Xiao-Wen
AU  - Zeng XW
AD  - Guangdong Provincial Engineering Technology Research Center of Environmental 
      Pollution and Health Risk Assessment, Department of Occupational and 
      Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 
      510080, China.
FAU - Zhao, Xiao-Miao
AU  - Zhao XM
AD  - Department of Reproductive Medicine, Department of Obstetrics and Gynecology, 
      Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 
      Guangzhou, 510080, China. Electronic address: zhaoxmiao@163.com.
FAU - Zhou, Yang
AU  - Zhou Y
AD  - State Environmental Protection Key Laboratory of Environmental Pollution Health 
      Risk Assessment, South China Institute of Environmental Sciences, Ministry of 
      Environmental Protection, Guangzhou, 510655, China; Guangdong Provincial 
      Engineering Technology Research Center of Environmental Pollution and Health Risk 
      Assessment, Department of Occupational and Environmental Health, School of Public 
      Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address: 
      zhouyang@scies.org.
FAU - Dong, Guang-Hui
AU  - Dong GH
AD  - Guangdong Provincial Engineering Technology Research Center of Environmental 
      Pollution and Health Risk Assessment, Department of Occupational and 
      Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 
      510080, China. Electronic address: donggh5@mail.sysu.edu.cn.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220708
PL  - Netherlands
TA  - Environ Res
JT  - Environmental research
JID - 0147621
RN  - 0 (Alkanesulfonic Acids)
RN  - 0 (Environmental Pollutants)
RN  - 0 (Fluorocarbons)
SB  - IM
MH  - *Alkanesulfonic Acids
MH  - Bayes Theorem
MH  - Birth Cohort
MH  - Cohort Studies
MH  - *Environmental Pollutants
MH  - Female
MH  - *Fluorocarbons
MH  - Humans
MH  - Infant, Newborn
MH  - Pregnancy
MH  - *Premature Birth
MH  - *Prenatal Exposure Delayed Effects
OTO - NOTNLM
OT  - Family exposure
OT  - Family-based birth cohort
OT  - PFAS
OT  - Preterm birth
EDAT- 2022/07/11 06:00
MHDA- 2022/08/31 06:00
CRDT- 2022/07/10 19:23
PHST- 2022/03/28 00:00 [received]
PHST- 2022/06/15 00:00 [revised]
PHST- 2022/06/29 00:00 [accepted]
PHST- 2022/07/11 06:00 [pubmed]
PHST- 2022/08/31 06:00 [medline]
PHST- 2022/07/10 19:23 [entrez]
AID - S0013-9351(22)01130-6 [pii]
AID - 10.1016/j.envres.2022.113803 [doi]
PST - ppublish
SO  - Environ Res. 2022 Nov;214(Pt 1):113803. doi: 10.1016/j.envres.2022.113803. Epub 
      2022 Jul 8.