PMID- 36403877
OWN - NLM
STAT- MEDLINE
DCOM- 20230105
LR  - 20230413
IS  - 1873-6424 (Electronic)
IS  - 0269-7491 (Linking)
VI  - 317
DP  - 2023 Jan 15
TI  - Relationship of multiple metals mixture and osteoporosis in older Chinese women: 
      An aging and longevity study.
PG  - 120699
LID - S0269-7491(22)01913-3 [pii]
LID - 10.1016/j.envpol.2022.120699 [doi]
AB  - Osteoporosis has become a major health problem in older women. Previous studies 
      have linked individual metals exposure with osteoporosis, but combined effects 
      remain inconclusive. We aimed to explore the individual and combined association 
      between multiple metals mixture and osteoporosis risk in older Chinese women. A 
      total of 2297 older women (aged >/=60) from the Hongshuihe region of Guangxi, 
      southern China included. We measured 22 blood metal levels through inductively 
      coupled plasma mass spectrometry. And osteoporosis was defined as a T score </= 
      -2.5. The least absolute shrinkage and selection operator (LASSO) penalized 
      regression, and Bayesian kernel machine regression (BKMR) models were performed 
      to explore the association between blood metals and osteoporosis risk. Of 2297 
      older women, there were 829 osteoporosis and 1468 non-osteoporosis participants. 
      The median age was 71 and 68 years old in the osteoporosis and the 
      non-osteoporosis group, respectively. In the single-metal model, rubidium and 
      vanadium were negatively associated with osteoporosis (P for trend = 0.02 and 
      0.002, respectively), and lead presented the reverse trend (P for trend = 0.01). 
      The LASSO penalized regression model selected nine metals (calcium, cadmium, 
      cobalt, lead, magnesium, rubidium, strontium, vanadium and zinc), which were 
      included in the subsequent analysis. And the multiple-metal model presented a 
      consistent trend with the single-metal model using the selected metals. 
      Furthermore, we performed BKMR to explore the combined effect, and found an 
      overall negative effect between metals mixture and osteoporosis risk when all the 
      metals were fixed at 50th, and rubidium and vanadium were the main contributors. 
      In addition, blood Rb and V were significantly negatively related to OP risk with 
      other metals at different levels (25th, 50th and 75th percentiles). The study 
      suggests metal mixture exposure and osteoporosis risk in older Chinese women, and 
      further studies need to be conducted.
CI  - Copyright (c) 2022 Elsevier Ltd. All rights reserved.
FAU - Feng, Xiuming
AU  - Feng X
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic 
      and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized 
      Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized 
      Medicine, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Zan, Gaohui
AU  - Zan G
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic 
      and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized 
      Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized 
      Medicine, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Wei, Yue
AU  - Wei Y
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Ge, Xiaoting
AU  - Ge X
AD  - Department of Public Health, School of Medicine, Guangxi University of Science 
      and Technology, Liuzhou, Guangxi, China.
FAU - Cai, Haiqing
AU  - Cai H
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Long, Tianzhu
AU  - Long T
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Xie, Lianguang
AU  - Xie L
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China; Department of Public 
      Health, School of Medicine, Guangxi University of Science and Technology, 
      Liuzhou, Guangxi, China.
FAU - Tong, Lei
AU  - Tong L
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Liu, Chaoqun
AU  - Liu C
AD  - Department of Nutrition and Food Hygiene, School of Public Health, Guangxi 
      Medical University, Nanning, Guangxi, China.
FAU - Li, Longman
AU  - Li L
AD  - Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic 
      and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic 
      and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Huang, Lulu
AU  - Huang L
AD  - Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic 
      and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic 
      and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Wang, Fei
AU  - Wang F
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Chen, Xing
AU  - Chen X
AD  - Department of Sanitary Chemistry, School of Public Health, Guangxi Medical 
      University, Nanning, Guangxi, China.
FAU - Zhang, Haiying
AU  - Zhang H
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Zou, Yunfeng
AU  - Zou Y
AD  - Department of Toxicology, School of Public Health, Guangxi Medical University, 
      Nanning, 530021, China.
FAU - Zhang, Zhiyong
AU  - Zhang Z
AD  - School of Public Health, Guilin Medical University, Guilin, Guangxi, China.
FAU - Yang, Xiaobo
AU  - Yang X
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic 
      and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized 
      Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized 
      Medicine, Guangxi Medical University, Nanning, Guangxi, China. Electronic 
      address: yangx@gxmu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20221117
PL  - England
TA  - Environ Pollut
JT  - Environmental pollution (Barking, Essex : 1987)
JID - 8804476
RN  - 00J9J9XKDE (Vanadium)
RN  - MLT4718TJW (Rubidium)
SB  - IM
CIN - Environ Pollut. 2023 May 1;324:121351. PMID: 36863434
MH  - Humans
MH  - Female
MH  - Aged
MH  - *Vanadium
MH  - *Rubidium
MH  - Bayes Theorem
MH  - East Asian People
MH  - China/epidemiology
MH  - Aging
OTO - NOTNLM
OT  - Aging
OT  - Lead
OT  - Metal mixture
OT  - Osteoporosis
OT  - Rubidium
OT  - Vanadium
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- 2022/11/21 06:00
MHDA- 2023/01/06 06:00
CRDT- 2022/11/20 19:34
PHST- 2022/08/14 00:00 [received]
PHST- 2022/10/21 00:00 [revised]
PHST- 2022/11/17 00:00 [accepted]
PHST- 2022/11/21 06:00 [pubmed]
PHST- 2023/01/06 06:00 [medline]
PHST- 2022/11/20 19:34 [entrez]
AID - S0269-7491(22)01913-3 [pii]
AID - 10.1016/j.envpol.2022.120699 [doi]
PST - ppublish
SO  - Environ Pollut. 2023 Jan 15;317:120699. doi: 10.1016/j.envpol.2022.120699. Epub 
      2022 Nov 17.