PMID- 34686995
OWN - NLM
STAT- MEDLINE
DCOM- 20220617
LR  - 20220617
IS  - 1559-0720 (Electronic)
IS  - 0163-4984 (Linking)
VI  - 200
IP  - 8
DP  - 2022 Aug
TI  - The Effect of Mixture of Heavy Metals on Obesity in Individuals >/=50 Years of Age.
PG  - 3554-3571
LID - 10.1007/s12011-021-02972-z [doi]
AB  - Little is known about the association between a mixture of heavy metals and 
      obesity among individuals >/=50 years of age with comorbidities. Thus, we 
      identified the associations of serum cadmium (Cd), lead (Pb), and mercury (Hg) 
      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 6434 subjects 
      included in the analysis, 13.8% had obesity and 44.6% had abdominal obesity. In 
      the logistic regression model, serum Hg was associated with obesity and abdominal 
      obesity, and significant trends were observed for these heavy metal tertiles (p < 
      0.001). Serum Hg levels were also associated with body mass index (BMI) and waist 
      circumference (WC). The WQS index was significantly associated with both obesity 
      (OR = 1.43, 95% CI: 1.40-1.46) and abdominal obesity (beta = 1.51, 95% CI: 
      1.48-1.54). The qgcomp index also found a significant association between heavy 
      metals and both obesity (OR = 1.35, 95% CI: 1.12-1.63) and abdominal obesity (OR 
      = 1.34, 95% CI: 1.12-1.60). Serum Hg was the most heavily weighed heavy metal in 
      these models. In BKMR analysis, the overall effect of the mixture was 
      significantly associated with obesity, BMI, and WC. Serum Hg showed positive 
      trends and was observed as the most important factor associated with obesity, 
      BMI, and WC. Our findings were largely robust to secondary analyses that used 
      three novel mixture modeling approaches: WQS, qpcomp, and BKMR. Given increasing 
      exposure to heavy metals, well-characterized cohorts of individuals aged >/=50 
      years are required to determine the mixed effects of heavy metals on obesity and 
      related diseases.
CI  - (c) 2021. The Author(s), under exclusive licence to Springer Science+Business 
      Media, LLC, part of Springer Nature.
FAU - Duc, Hai Nguyen
AU  - Duc HN
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 - 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
PT  - Journal Article
DEP - 20211022
PL  - United States
TA  - Biol Trace Elem Res
JT  - Biological trace element research
JID - 7911509
RN  - 0 (Metals, Heavy)
RN  - FXS1BY2PGL (Mercury)
SB  - IM
MH  - Bayes Theorem
MH  - Humans
MH  - *Mercury
MH  - *Metals, Heavy
MH  - Middle Aged
MH  - Obesity/epidemiology
MH  - Obesity, Abdominal
OTO - NOTNLM
OT  - Chemical mixture
OT  - Heavy metals
OT  - Mercury
OT  - Obesity
EDAT- 2021/10/24 06:00
MHDA- 2022/06/18 06:00
CRDT- 2021/10/23 06:20
PHST- 2021/08/09 00:00 [received]
PHST- 2021/10/13 00:00 [accepted]
PHST- 2021/10/24 06:00 [pubmed]
PHST- 2022/06/18 06:00 [medline]
PHST- 2021/10/23 06:20 [entrez]
AID - 10.1007/s12011-021-02972-z [pii]
AID - 10.1007/s12011-021-02972-z [doi]
PST - ppublish
SO  - Biol Trace Elem Res. 2022 Aug;200(8):3554-3571. doi: 10.1007/s12011-021-02972-z. 
      Epub 2021 Oct 22.