PMID- 35026581
OWN - NLM
STAT- MEDLINE
DCOM- 20220208
LR  - 20220208
IS  - 1090-2414 (Electronic)
IS  - 0147-6513 (Linking)
VI  - 231
DP  - 2022 Feb
TI  - The association between essential trace element mixture and cognitive function in 
      Chinese community-dwelling older adults.
PG  - 113182
LID - S0147-6513(22)00022-7 [pii]
LID - 10.1016/j.ecoenv.2022.113182 [doi]
AB  - BACKGROUND: The evidence about the effect of essential trace element (ETE) 
      mixture on cognitive function amongst older adults is limited. This study aims to 
      evaluate the associations of single ETEs and ETE mixture with cognitive function 
      using a representative sample of community-dwelling older adults in China. 
      METHODS: A total of 3814 older adults were included in the study. Urinary 
      concentrations of selenium (Se), vanadium (V), cobalt (Co), strontium (Sr), and 
      molybdenum (Mo) were detected by inductively coupled plasma mass spectrometry. 
      Cognitive function in older adults was assessed using the Chinese version of the 
      Mini-Mental State Examination (MMSE). Linear regression and Bayesian kernel 
      machine regression (BKMR) were performed to explore the associations of single 
      ETEs and ETE mixture with cognitive function, respectively. RESULTS: Linear 
      regression showed that urinary levels of Se and V were positively associated with 
      MMSE scores in the adjusted single-element models. BKMR also showed marginally 
      positive associations of Se and V with MMSE scores. Moreover, higher urinary 
      levels of ETE mixture were significantly associated with increased MMSE scores in 
      a dose-response pattern, and Se was the most important contributor within the 
      mixture. Both Se and V demonstrated positive additive effects on the associations 
      of other ETEs with MMSE scores, whereas Co had a negative additive effect. 
      CONCLUSIONS: V and Se are positively associated with cognitive function, 
      individually and as a mixture. ETE mixture exhibits a linear dose-response 
      association with improved cognitive function, with Se being the most important 
      component within the mixture. Mixture analyses rather than single ETE analyses 
      may provide a real-world perspective on the relationship between ETE mixture and 
      cognitive function. Further cohort studies are needed to clarify the association 
      of multiple ETEs with cognitive function.
CI  - Copyright (c) 2022 The Authors. Published by Elsevier Inc. All rights reserved.
FAU - Cheng, Bei-Jing
AU  - Cheng BJ
AD  - School of Public Health, Department of Epidemiology and Health Statistics, Anhui 
      Medical University, Hefei, Anhui 230032, China.
FAU - Wang, Jun
AU  - Wang J
AD  - School of Public Health, Department of Epidemiology and Health Statistics, Anhui 
      Medical University, Hefei, Anhui 230032, China.
FAU - Meng, Xiang-Long
AU  - Meng XL
AD  - School of Public Health, Department of Epidemiology and Health Statistics, Anhui 
      Medical University, Hefei, Anhui 230032, China.
FAU - Sun, Liang
AU  - Sun L
AD  - Fuyang Center for Diseases Prevention and Control, Fuyang, Anhui 236069, China.
FAU - Hu, Bing
AU  - Hu B
AD  - Fuyang Center for Diseases Prevention and Control, Fuyang, Anhui 236069, China.
FAU - Li, Huai-Biao
AU  - Li HB
AD  - Fuyang Center for Diseases Prevention and Control, Fuyang, Anhui 236069, China.
FAU - Sheng, Jie
AU  - Sheng J
AD  - School of Public Health, Experimental Center for Public Health, Anhui Medical 
      University, Hefei, Anhui 230032, China.
FAU - Chen, Gui-Mei
AU  - Chen GM
AD  - School of Health Services Management, Anhui Medical University, Hefei, Anhui 
      230032, China.
FAU - Tao, Fang-Biao
AU  - Tao FB
AD  - School of Health Services Management, Anhui Medical University, Hefei, Anhui 
      230032, China; Anhui Provincial Key Laboratory of Population Health and 
      Aristogenics, Hefei, Anhui 230032, China.
FAU - Sun, Ye-Huan
AU  - Sun YH
AD  - School of Public Health, Department of Epidemiology and Health Statistics, Anhui 
      Medical University, Hefei, Anhui 230032, China. Electronic address: 
      yhsun_ahmu_edu@yeah.net.
FAU - Yang, Lin-Sheng
AU  - Yang LS
AD  - School of Public Health, Department of Epidemiology and Health Statistics, Anhui 
      Medical University, Hefei, Anhui 230032, China. Electronic address: 
      yanglinsheng@ahmu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20220110
PL  - Netherlands
TA  - Ecotoxicol Environ Saf
JT  - Ecotoxicology and environmental safety
JID - 7805381
RN  - 0 (Trace Elements)
RN  - H6241UJ22B (Selenium)
SB  - IM
MH  - Aged
MH  - Bayes Theorem
MH  - Cognition
MH  - Humans
MH  - Independent Living
MH  - *Selenium
MH  - *Trace Elements
OTO - NOTNLM
OT  - BKMR
OT  - Cognitive function
OT  - Essential trace element
OT  - Older adults
EDAT- 2022/01/14 06:00
MHDA- 2022/02/09 06:00
CRDT- 2022/01/13 20:26
PHST- 2021/09/25 00:00 [received]
PHST- 2022/01/05 00:00 [revised]
PHST- 2022/01/06 00:00 [accepted]
PHST- 2022/01/14 06:00 [pubmed]
PHST- 2022/02/09 06:00 [medline]
PHST- 2022/01/13 20:26 [entrez]
AID - S0147-6513(22)00022-7 [pii]
AID - 10.1016/j.ecoenv.2022.113182 [doi]
PST - ppublish
SO  - Ecotoxicol Environ Saf. 2022 Feb;231:113182. doi: 10.1016/j.ecoenv.2022.113182. 
      Epub 2022 Jan 10.