PMID- 34738213
OWN - NLM
STAT- MEDLINE
DCOM- 20220308
LR  - 20220308
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 29
IP  - 14
DP  - 2022 Mar
TI  - Mixtures modeling identifies heavy metals and pyrethroid insecticide metabolites 
      associated with obesity.
PG  - 20379-20397
LID - 10.1007/s11356-021-16936-2 [doi]
AB  - We aim to examine the association between chemical mixtures and obesity. Blood 
      and urinary levels of tween-six chemicals were measured in adults who 
      participated in the KoNEHS. We identified the associations of chemicals with 
      obesity using linear regression models. Weighted quantile sum (WQS) regression, 
      quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) 
      were conducted as secondary analyses. Of the 3,692 participants included in the 
      analysis, 18.0% had obesity. In the logistic regression model, mercury (Hg), lead 
      (Pb), and 3PBA levels were associated with obesity, and significant trends were 
      observed for these chemical tertiles (p < 0.001). Hg, Pb, and 3PBA levels were 
      also associated with BMI. The WQS index was significantly associated with both 
      obesity (OR = 2.15, 95% CI: 2.11-2.20) and BMI (beta = 0.39, 95% CI: 0.37-0.51). The 
      qgcomp index also found a significant association between chemicals and both 
      obesity (OR = 1.70, 95% CI: 1.56-1.85) and BMI (beta = 0.40, 95% CI: 0.39-0.41). Hg, 
      Pb, and 3PBA were the most heavily weighed chemicals in these models. In BKMR 
      analysis, the overall effect of the mixture was significantly associated with 
      obesity. Hg, Pb, and 3PBA showed positive trends and were observed as the most 
      important factors associated with obesity. Given increasing exposure to 
      chemicals, there is a need to investigate the associations between chemical 
      exposures, either separately or together, and incident obesity risk factors in 
      well-characterized cohorts of different populations, and to identify potential 
      approaches to chemical exposure prevention.
CI  - (c) 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Nguyen, Hai Duc
AU  - Nguyen HD
AUID- ORCID: 0000-0001-8419-7784
AD  - Department of Pharmacy, College of Pharmacy and Research Institute of Life and 
      Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam, Republic 
      of Korea.
FAU - Oh, Hojin
AU  - Oh H
AD  - Department of Pharmacy, College of Pharmacy and Research Institute of Life and 
      Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam, Republic 
      of Korea.
FAU - Jo, Won Hee
AU  - Jo WH
AD  - Department of Pharmacy, College of Pharmacy and Research Institute of Life and 
      Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam, Republic 
      of Korea.
FAU - Hoang, Ngoc Hong Minh
AU  - Hoang NHM
AD  - Department of Pharmacy, College of Pharmacy and Research Institute of Life and 
      Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam, Republic 
      of Korea.
FAU - Kim, Min-Sun
AU  - Kim MS
AUID- ORCID: 0000-0001-9952-0038
AD  - Department of Pharmacy, College of Pharmacy and Research Institute of Life and 
      Pharmaceutical Sciences, Sunchon National University, Sunchon, Jeonnam, Republic 
      of Korea. minsun@scnu.ac.kr.
LA  - eng
GR  - NRF2013R1A1A3008851/National Research Foundation of Korea/
GR  - 2018R1D1A1B07049610/National Research Foundation of Korea/
PT  - Journal Article
DEP - 20211104
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Insecticides)
RN  - 0 (Metals, Heavy)
RN  - 0 (Pyrethrins)
SB  - IM
MH  - Adult
MH  - Bayes Theorem
MH  - Humans
MH  - *Insecticides
MH  - *Metals, Heavy
MH  - Obesity/epidemiology
MH  - *Pyrethrins
OTO - NOTNLM
OT  - 3PBA
OT  - Chemical mixture
OT  - Lead
OT  - Mercury
OT  - Obesity
EDAT- 2021/11/06 06:00
MHDA- 2022/03/09 06:00
CRDT- 2021/11/05 06:56
PHST- 2021/08/08 00:00 [received]
PHST- 2021/10/04 00:00 [accepted]
PHST- 2021/11/06 06:00 [pubmed]
PHST- 2022/03/09 06:00 [medline]
PHST- 2021/11/05 06:56 [entrez]
AID - 10.1007/s11356-021-16936-2 [pii]
AID - 10.1007/s11356-021-16936-2 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2022 Mar;29(14):20379-20397. doi: 
      10.1007/s11356-021-16936-2. Epub 2021 Nov 4.