PMID- 37783357
OWN - NLM
STAT- MEDLINE
DCOM- 20231102
LR  - 20231102
IS  - 1879-1298 (Electronic)
IS  - 0045-6535 (Linking)
VI  - 344
DP  - 2023 Dec
TI  - Associations of mixed urinary metals exposure with metabolic syndrome in the US 
      adult population.
PG  - 140330
LID - S0045-6535(23)02600-0 [pii]
LID - 10.1016/j.chemosphere.2023.140330 [doi]
AB  - BACKGROUND: Metals are harmful to human health in many ways. However, the 
      association between metals and metabolic syndrome (MetS) remains unclear. Aims of 
      this study is to discuss the relationship between urinary metal and MetS. 
      METHODS: This study included 3419 adult participants from the National Health and 
      Nutrition Examination Survey (NHANES) (2005-2018). Logistic regression analysis, 
      Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS), and 
      restricted cubic spline (RCS) were used to explore the associations of nine 
      urinary metal and MetS. RESULTS: BKMR and WQS showed the effects of combined nine 
      urinary metal were negatively correlated with MetS. Logistic regression analysis, 
      WQS, and BKMR all suggested that cesium (Cs) and lead (Pb) were negatively 
      correlated with MetS (all P(FDCR) <0.05). And RCS suggested log(2)-transformed Cs 
      (chi2 = 20, P < 0.001) and log(2)-transformed Pb (chi2 = 19.9, P < 0.001) were 
      negatively and linearly associated with MetS. CONCLUSION: Existing evidence 
      suggests that urine metal content is related to MetS. Cs and Pb are negatively 
      related to MetS. It is still necessary to study and further discuss the causal 
      relationship and mechanism.
CI  - Copyright (c) 2023 Elsevier Ltd. All rights reserved.
FAU - Zha, Bowen
AU  - Zha B
AD  - Department of Education, Beijing Anzhen Hospital, Capital Medical University, 
      Beijing, 100029, PR China; Department of Endoscopy, National Cancer 
      Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese 
      Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, PR 
      China. Electronic address: zhabw@ccmu.edu.cn.
FAU - Liu, Yuqi
AU  - Liu Y
AD  - Department of Education, Beijing Luhe Hospital, Capital Medical University, 
      Beijing, 101149, PR China.
FAU - Xu, Huanchang
AU  - Xu H
AD  - Department of Education, Beijing Luhe Hospital, Capital Medical University, 
      Beijing, 101149, PR China.
LA  - eng
PT  - Journal Article
DEP - 20230930
PL  - England
TA  - Chemosphere
JT  - Chemosphere
JID - 0320657
RN  - 2P299V784P (Lead)
RN  - 1KSV9V4Y4I (Cesium)
SB  - IM
MH  - Humans
MH  - Adult
MH  - Bayes Theorem
MH  - *Lead
MH  - *Metabolic Syndrome/epidemiology
MH  - Nutrition Surveys
MH  - Cesium
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - Metabolic syndrome
OT  - National health and nutrition examination survey
OT  - Restricted cubic spline
OT  - Urinary metals
OT  - Weighted quantile sum
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/10/03 00:42
MHDA- 2023/11/02 12:44
CRDT- 2023/10/02 19:23
PHST- 2023/04/20 00:00 [received]
PHST- 2023/09/19 00:00 [revised]
PHST- 2023/09/28 00:00 [accepted]
PHST- 2023/11/02 12:44 [medline]
PHST- 2023/10/03 00:42 [pubmed]
PHST- 2023/10/02 19:23 [entrez]
AID - S0045-6535(23)02600-0 [pii]
AID - 10.1016/j.chemosphere.2023.140330 [doi]
PST - ppublish
SO  - Chemosphere. 2023 Dec;344:140330. doi: 10.1016/j.chemosphere.2023.140330. Epub 
      2023 Sep 30.