PMID- 37715907 OWN - NLM STAT- MEDLINE DCOM- 20231023 LR - 20231023 IS - 1614-7499 (Electronic) IS - 0944-1344 (Linking) VI - 30 IP - 48 DP - 2023 Oct TI - Study on the correlation and interaction between metals and dyslipidemia: a case-control study in Chinese community-dwelling elderly. PG - 105756-105769 LID - 10.1007/s11356-023-29695-z [doi] AB - Previous studies on the association between metals and dyslipidemia are not completely consistent. There are few studies investigating the relationship between mixed metal exposure and dyslipidemia as well as the effects of metals on dyslipidemia in community-dwelling elderly. To evaluate the correlations and interaction effect between the urinary concentrations of metals and the risk of dyslipidemia in community-dwelling elderly. We designed a case-control study to assess the correlation between urine metals and dyslipidemia in elderly people in the Yinchuan. The urinary levels of 13 metals, including calcium, vanadium, iron, cobalt, zinc, copper, arsenic, selenium, molybdenum, cadmium, tellurium, and thallium, were measured by inductively coupled plasma-mass spectrometry (ICP-MS), and the blood biochemical analyzer was used to measure the blood lipid levels of 3384 senior individuals from four different areas of Yinchuan city. Logistic regression and restricted cubic splines (RCS) were used to explore the correlation and dose-response relationship between urinary metals and the risk of dyslipidemia. Least absolute shrinkage and selection operator (LASSO) regression was used to select metals, and then weighted quantile sum (WQS) regression was used to explore the weight of each metal in mixed metals. Bayesian kernel machine regression (BKMR) was used to explore the interactions between metals on dyslipidemia risk. (1) After selection by LASSO regression, in the multi-metal model, compared with the lowest quartile, the adjusted ORs (95%CI) of the highest quartiles were 0.47 (0.37-0.60) for Fe, 1.43 (1.13-1.83) for Zn, 1.46 (1.11-1.92) for As, 0.59 (0.44-0.80) for Se, 1.53 (1.18-2.00) for Mo, and 1.36 (1.07-1.73) for Te. (2) In the WQS regression model, Fe and Mo accounted for the largest weight in the negative and positive effects of dyslipidemia, respectively. (3) In the BKMR model, there may be a positive interaction between Te and Se on dyslipidemia. Among the mixed metals, Fe, As, Se, Mo, and Te were associated with the prevalence of dyslipidemia, with Fe and Mo contributing the most. There may be certain interactions between Te and Se. CI - (c) 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. FAU - Zhang, Zhongyuan AU - Zhang Z AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. FAU - Wang, Rui AU - Wang R AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. FAU - He, Pei AU - He P AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. FAU - Dai, Yuqing AU - Dai Y AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. FAU - Duan, Siyu AU - Duan S AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. FAU - Li, Meiyan AU - Li M AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. FAU - Shen, Zhuoheng AU - Shen Z AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. FAU - Li, Xiaoyu AU - Li X AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. FAU - Sun, Jian AU - Sun J AD - School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China. 20180016@nxmu.edu.cn. AD - Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China. 20180016@nxmu.edu.cn. LA - eng GR - XAB2022YM18/Light of the west Talent Training Plan Project of Chinese Academy of Sciences/ GR - 2022AAC05028/Natural Science Foundation of Ningxia Province/ PT - Journal Article DEP - 20230916 PL - Germany TA - Environ Sci Pollut Res Int JT - Environmental science and pollution research international JID - 9441769 RN - 00J9J9XKDE (Vanadium) RN - NQA0O090ZJ (Tellurium) SB - IM MH - Humans MH - Aged MH - Case-Control Studies MH - Bayes Theorem MH - *East Asian People MH - *Independent Living MH - Vanadium MH - Tellurium OTO - NOTNLM OT - BKMR OT - Case-control study OT - Combined exposure OT - Dyslipidemia OT - Interaction effect OT - Urine metals EDAT- 2023/09/16 20:44 MHDA- 2023/10/23 01:18 CRDT- 2023/09/16 11:09 PHST- 2023/03/16 00:00 [received] PHST- 2023/08/31 00:00 [accepted] PHST- 2023/10/23 01:18 [medline] PHST- 2023/09/16 20:44 [pubmed] PHST- 2023/09/16 11:09 [entrez] AID - 10.1007/s11356-023-29695-z [pii] AID - 10.1007/s11356-023-29695-z [doi] PST - ppublish SO - Environ Sci Pollut Res Int. 2023 Oct;30(48):105756-105769. doi: 10.1007/s11356-023-29695-z. Epub 2023 Sep 16.