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Multi-element Exposure and Cognitive Function in Rural Elderly Chinese.

Authors :
Duan, Lidan
Su, Liqin
He, Xiaohong
Du, Yegang
Duan, Yanying
Xu, Ning
Wu, Rangpeng
Zhu, Yunfeng
Shao, Ranqi
Unverzagt, Frederick W.
Hake, Ann M.
Jin, Yinlong
Gao, Sujuan
Source :
Biological Trace Element Research; Apr2024, Vol. 202 Issue 4, p1401-1410, 10p
Publication Year :
2024

Abstract

To investigate the relationship between selenium (Se) based multi-element combined exposure and cognitive function in rural elderly individuals, a cross-sectional study was conducted. The study involved 416 older adults aged 60 and above, residing in four different areas of Enshi county, China, with varying soil Se levels. Inductively coupled plasma mass spectrometry (ICP-MS) was employed to measure the concentrations of Se, copper (Cu), iron (Fe), zinc (Zn), calcium (Ca), magnesium (Mg), cadmium (Cd), arsenic (As), and lead (Pb) in whole blood. Nine standard cognitive tests were applied to assess cognitive function. Analysis of the least absolute shrinkage and selection operator regression (LASSO), covariance (ANCOVA), and generalized linear model (GLM) were utilized to investigate the relationship between element exposure and cognitive function. The results of LASSO revealed that Se, Cu, Fe, Zn, Ca, and Pb were independently identified to be associated with cognition. Both ANCOVA and GLM demonstrated that Se and Ca were correlated with cognitive function. The multi-element model showed higher composite Z scores of 0.32 (95% CI: 0.09 to 0.55) for log-transformed Se (P = 0.007), 0.75 (95% CI: 0.01 to 1.49) for log-transformed Cu (P = 0.048), and a lower score of − 0.67 (95% CI: − 1.26 to − 0.08) for log-transformed Ca (P = 0.025). Furthermore, there was evidence that Se could counteract the negative impact of Ca on cognitive function (P for interaction = 0.031). Our findings suggested that higher levels of Se and Cu were associated with better cognitive function in the elderly and Se can counteract the cognitive damage caused by Ca. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01634984
Volume :
202
Issue :
4
Database :
Complementary Index
Journal :
Biological Trace Element Research
Publication Type :
Academic Journal
Accession number :
175361075
Full Text :
https://doi.org/10.1007/s12011-023-03774-1