PMID- 37742758
OWN - NLM
STAT- Publisher
LR  - 20231011
IS  - 1879-1298 (Electronic)
IS  - 0045-6535 (Linking)
VI  - 343
DP  - 2023 Dec
TI  - Association between multiple metals exposure and sleep disorders in a Chinese 
      population: A mixture-based approach.
PG  - 140213
LID - S0045-6535(23)02483-9 [pii]
LID - 10.1016/j.chemosphere.2023.140213 [doi]
AB  - OBJECTIVE: Previous studies have suggested a possible association between metals 
      and sleep disorders. This study aimed to explore the association between Zn, Cu, 
      Se, Mg and Ca and sleep disorders in single and multi-metal co-exposure models. 
      METHODS: Logistic regression models, restricted cubic spline model (RCS), 
      Quantile g computation (Q-gcomp), Weighted Quantile Sum (WQS), and Bayesian 
      kernel machine regression (BKMR) models were used to investigate the association 
      between metal levels and sleep disorders. RESULTS: Logistic regression showed 
      that in the total population, the second, third, and fourth quartile Zn 
      concentration exhibited a lower risk of sleep disorders compared with the first 
      quartile, with odds ratios (ORs) of 0.783, 0.711, and 0.704, respectively. 
      Compared with Zn/Cu and Zn/Se in the first quartile, the third and fourth 
      quartiles showed a lower risk of sleep disorders. In the 30-59 years group, the 
      risk of sleep disorders was 0.699 times greater for the fourth quartile Mg 
      concentration than that for the first quartile. The risk of sleep disorders in 
      Mg/Ca concentration in the third quartile was 0.737 times higher than in the 
      first quartile. Q-gcomp, WQS, and BKMR model analysis showed the negative overall 
      effect of mixtures of the five metals on sleep disorders, with Zn being the 
      largest contributor. CONCLUSION: Our study showed that plasma Zn, Mg, Zn/Cu, 
      Zn/Se, and Mg/Ca reduced the risk of sleep disorders, and the combined effect of 
      multiple metals was negatively associated with the risk of sleep disorders, with 
      Zn being the largest contributor to this relationship.
CI  - Copyright (c) 2023 Elsevier Ltd. All rights reserved.
FAU - Yufu, Lu
AU  - Yufu L
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China.
FAU - Qiumei, Liu
AU  - Qiumei L
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China.
FAU - Tiantian, Zhang
AU  - Tiantian Z
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China.
FAU - Jiansheng, Cai
AU  - Jiansheng C
AD  - School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, 
      Guangxi, China.
FAU - Xu, Tang
AU  - Xu T
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China.
FAU - Yanfei, Wei
AU  - Yanfei W
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China.
FAU - Xiaoting, Mo
AU  - Xiaoting M
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China.
FAU - Shenxiang, Huang
AU  - Shenxiang H
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China.
FAU - Yinxia, Lin
AU  - Yinxia L
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China.
FAU - You, Li
AU  - You L
AD  - School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, 
      Guangxi, China.
FAU - Tingyu, Luo
AU  - Tingyu L
AD  - School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, 
      Guangxi, China.
FAU - Jian, Qin
AU  - Jian Q
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China; Key Laboratory of Longevity and Aging-related 
      Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning 
      530021, China; Guangxi Colleges and Universities Key Laboratory of Prevention and 
      Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical 
      University, Nanning 530021, China; Guangxi Key Laboratory of Environment and 
      Health Research, Guangxi Medical University, Nanning 530021, China. Electronic 
      address: qinjian@gxmu.edu.cn.
FAU - Zhiyong, Zhang
AU  - Zhiyong Z
AD  - School of Public Health, Guangxi Medical University, Shuangyong Road No.22, 
      Nanning, 530021, Guangxi, China; School of Public Health, Guilin Medical 
      University, 20 Lequn Road, Guilin, Guangxi, China. Electronic address: 
      rpazz@163.com.
LA  - eng
PT  - Journal Article
DEP - 20230922
PL  - England
TA  - Chemosphere
JT  - Chemosphere
JID - 0320657
SB  - IM
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - Essential metals
OT  - Multiple mixture models
OT  - Sleep disorders
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- 2023/09/25 00:42
MHDA- 2023/09/25 00:42
CRDT- 2023/09/24 19:14
PHST- 2023/05/18 00:00 [received]
PHST- 2023/08/27 00:00 [revised]
PHST- 2023/09/18 00:00 [accepted]
PHST- 2023/09/25 00:42 [pubmed]
PHST- 2023/09/25 00:42 [medline]
PHST- 2023/09/24 19:14 [entrez]
AID - S0045-6535(23)02483-9 [pii]
AID - 10.1016/j.chemosphere.2023.140213 [doi]
PST - ppublish
SO  - Chemosphere. 2023 Dec;343:140213. doi: 10.1016/j.chemosphere.2023.140213. Epub 
      2023 Sep 22.