PMID- 37788750 OWN - NLM STAT- MEDLINE DCOM- 20231102 LR - 20231102 IS - 1879-1298 (Electronic) IS - 0045-6535 (Linking) VI - 344 DP - 2023 Dec TI - Association between exposure to mixture of heavy metals and hyperlipidemia risk among U.S. adults: A cross-sectional study. PG - 140334 LID - S0045-6535(23)02604-8 [pii] LID - 10.1016/j.chemosphere.2023.140334 [doi] AB - Previous studies have suggested that exposure to heavy metals might increase the risk of hyperlipidemia. However, limited research has investigated the association between exposure to mixture of heavy metals and hyperlipidemia risk. To explore the independent and combined effects of heavy metal exposure on hyperlipidemia risk, this study involved 3293 participants from the National Health and Nutrition Examination Survey (NHANES), including 2327 with hyperlipidemia and the remaining without. In the individual metal analysis, the logistic regression model confirmed the positive effects of barium (Ba), cadmium (Cd), mercury (Hg), Lead (Pb), and uranium (U) on hyperlipidemia risk, Ba, Cd, Hg and Pb were further validated in restricted cubic splines (RCS) regression model and identified as positive linear relationships. In the metal mixture analysis, weighted quantile sum (WQS) regression, Bayesian kernel machine regression (BKMR), and quantile-based g computation (qgcomp) models consistently revealed a positive correlation between exposure to metal mixture and hyperlipidemia risk, with Ba, Cd, Hg, Pb, and U having significant positive driving roles in the overall effects. These associations were more prominent in young/middle-aged individuals. Moreover, the BKMR model uncovered some interactions between specific heavy metals. In conclusion, this study offers new evidence supporting the link between combined exposure to multiple heavy metals and hyperlipidemia risk, but considering the limitations of this study, further prospective research is required. CI - Copyright (c) 2023 Elsevier Ltd. All rights reserved. FAU - Wang, Guosheng AU - Wang G AD - Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. FAU - Fang, Lanlan AU - Fang L AD - Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. FAU - Chen, Yuting AU - Chen Y AD - Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. FAU - Ma, Yubo AU - Ma Y AD - Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. FAU - Zhao, Hui AU - Zhao H AD - Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. FAU - Wu, Ye AU - Wu Y AD - Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. FAU - Xu, Shengqian AU - Xu S AD - Department of Rheumatism and Immunity, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China. FAU - Cai, Guoqi AU - Cai G AD - Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. FAU - Pan, Faming AU - Pan F AD - Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. Electronic address: famingpan@ahmu.edu.cn. LA - eng PT - Journal Article DEP - 20231001 PL - England TA - Chemosphere JT - Chemosphere JID - 0320657 RN - 00BH33GNGH (Cadmium) RN - 2P299V784P (Lead) RN - 0 (Metals, Heavy) RN - FXS1BY2PGL (Mercury) RN - 24GP945V5T (Barium) RN - 4OC371KSTK (Uranium) SB - IM MH - Middle Aged MH - Adult MH - Humans MH - Cross-Sectional Studies MH - Nutrition Surveys MH - Cadmium/toxicity MH - Bayes Theorem MH - *Hyperlipidemias/chemically induced/epidemiology MH - Lead MH - *Metals, Heavy/toxicity MH - *Mercury/toxicity MH - Barium MH - *Uranium OTO - NOTNLM OT - Co-exposure OT - Heavy metals OT - Hyperlipidemia OT - Mixture 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- 2023/10/04 00:42 MHDA- 2023/11/02 12:42 CRDT- 2023/10/03 19:14 PHST- 2023/05/28 00:00 [received] PHST- 2023/09/20 00:00 [revised] PHST- 2023/09/28 00:00 [accepted] PHST- 2023/11/02 12:42 [medline] PHST- 2023/10/04 00:42 [pubmed] PHST- 2023/10/03 19:14 [entrez] AID - S0045-6535(23)02604-8 [pii] AID - 10.1016/j.chemosphere.2023.140334 [doi] PST - ppublish SO - Chemosphere. 2023 Dec;344:140334. doi: 10.1016/j.chemosphere.2023.140334. Epub 2023 Oct 1.