PMID- 34921822
OWN - NLM
STAT- MEDLINE
DCOM- 20220330
LR  - 20220401
IS  - 1096-0953 (Electronic)
IS  - 0013-9351 (Linking)
VI  - 206
DP  - 2022 Apr 15
TI  - Pre- and postnatal exposure to multiple ambient air pollutants and child 
      behavioral problems at five years of age.
PG  - 112526
LID - S0013-9351(21)01827-2 [pii]
LID - 10.1016/j.envres.2021.112526 [doi]
AB  - Ambient air pollution is emerging as a risk factor for adverse neurological 
      symptoms and early childhood diseases. This study aimed to evaluate the 
      association between pre- and postnatal exposure to air pollutants and childhood 
      behavior by using MOCEH prospective birth cohort data. In total, 353 mother-child 
      pairs at birth, who completed child behavioral assessments using the Korean 
      version of the Child Behavior Checklist at five years of age, were included in 
      the study. Multivariate linear regression (MLR) for single pollutant and Bayesian 
      kernel machine regression (BKMR) for multiple pollutants were conducted. MLR 
      analysis showed that air pollutant exposures during the first trimester were 
      significantly associated with the internalizing problems score after adjusting 
      for covariates. The estimates were 0.19 (0.05-0.32) per 1 mug/m(3) increase in 
      PM(2.5), 0.13 (0.04-0.22) per 1 mug/m(3) increase in PM(10), and 0.20 (0.02-0.37) 
      per 1 ppb increase in NO(2). The BKMR model analysis revealed that the overall 
      effects of multiple air pollutants during the first trimester of pregnancy and 
      0-6 months of the infantile period were significantly associated with behavioral 
      problems. Boys showed a stronger associations than girls. Taken together, these 
      results showed that the first trimester of pregnancy and 0-6 months of the 
      infantile period were important for air pollutant exposure because exposure at 
      these periods was associated with behavioral problems in 5-year-old children. 
      Future efforts are required to control air pollution levels and reduce the health 
      burden of vulnerable populations, including pregnant women and children.
CI  - Copyright (c) 2021 Elsevier Inc. All rights reserved.
FAU - Shin, Jiyoung
AU  - Shin J
AD  - Department of Preventive Medicine, Feinberg School of Medicine, Northwestern 
      University, Chicago, IL, USA; Department of Environmental Medicine, Graduate 
      Program in System Health Science and Engineering, College of Medicine, Ewha 
      Womans University, Seoul, Republic of Korea.
FAU - Park, Hyesook
AU  - Park H
AD  - Department of Preventive Medicine, Graduate Program in System Health Science and 
      Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of 
      Korea.
FAU - Kim, Hae Soon
AU  - Kim HS
AD  - Department of Pediatrics, College of Medicine, Ewha Womans University, Seoul, 
      Republic of Korea.
FAU - Kim, Eui-Jung
AU  - Kim EJ
AD  - Department of Psychiatry, College of Medicine, Ewha Womans University, Seoul, 
      Republic of Korea.
FAU - Kim, Kyoung-Nam
AU  - Kim KN
AD  - Department of Preventive Medicine and Public Health, Ajou University School of 
      Medicine, Suwon, Republic of Korea.
FAU - Hong, Yun-Chul
AU  - Hong YC
AD  - Department of Human Systems Medicine, College of Medicine, Seoul National 
      University, Seoul, Republic of Korea.
FAU - Ha, Mina
AU  - Ha M
AD  - Department of Preventive Medicine, College of Medicine, Dankook University, 
      Cheonan, Republic of Korea.
FAU - Kim, Yangho
AU  - Kim Y
AD  - Department of Occupational and Environmental Medicine, Ulsan University Hospital, 
      University of Ulsan College of Medicine, Ulsan, Republic of Korea.
FAU - Ha, Eunhee
AU  - Ha E
AD  - Department of Environmental Medicine, Graduate Program in System Health Science 
      and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of 
      Korea. Electronic address: eunheeha@ewha.ac.kr.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20211216
PL  - Netherlands
TA  - Environ Res
JT  - Environmental research
JID - 0147621
RN  - 0 (Air Pollutants)
RN  - 0 (Environmental Pollutants)
RN  - 0 (Particulate Matter)
SB  - IM
MH  - *Air Pollutants/analysis
MH  - *Air Pollution/adverse effects/analysis
MH  - Bayes Theorem
MH  - Child, Preschool
MH  - Environmental Exposure/analysis
MH  - *Environmental Pollutants/analysis
MH  - Female
MH  - Humans
MH  - Infant, Newborn
MH  - Male
MH  - Particulate Matter/analysis/toxicity
MH  - Pregnancy
MH  - *Problem Behavior
MH  - Prospective Studies
EDAT- 2021/12/19 06:00
MHDA- 2022/03/31 06:00
CRDT- 2021/12/18 20:13
PHST- 2021/10/08 00:00 [received]
PHST- 2021/11/30 00:00 [revised]
PHST- 2021/12/04 00:00 [accepted]
PHST- 2021/12/19 06:00 [pubmed]
PHST- 2022/03/31 06:00 [medline]
PHST- 2021/12/18 20:13 [entrez]
AID - S0013-9351(21)01827-2 [pii]
AID - 10.1016/j.envres.2021.112526 [doi]
PST - ppublish
SO  - Environ Res. 2022 Apr 15;206:112526. doi: 10.1016/j.envres.2021.112526. Epub 2021 
      Dec 16.