PMID- 37533572 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20230804 IS - 2296-861X (Print) IS - 2296-861X (Electronic) IS - 2296-861X (Linking) VI - 10 DP - 2023 TI - Dose-response relationship between multiple trace elements and risk of all-cause mortality: a prospective cohort study. PG - 1205537 LID - 10.3389/fnut.2023.1205537 [doi] LID - 1205537 AB - OBJECTIVES: We aimed to prospectively investigate the independent and combined relationship between trace elements concentrations [blood (selenium, manganese), serum (copper, zinc), and urine (cobalt, molybdenum, tin, strontium, iodine)] and all-cause mortality. METHODS: This study included 5,412 individuals with demographical, examination, and laboratory data from the National Health and Nutrition Examination Survey. Three statistical models, including Cox proportional hazards models, restricted cubic spline models, and Bayesian kernel machine regression (BKMR) models, were conducted to estimate the longitudinal relationship between trace elements and all-cause mortality. RESULTS: There were 356 deaths documented with a median follow-up time of 70 months. In the single-exposure model, the results showed that compared with the lowest quartile, the adjusted hazard ratios (HRs) of mortality for the highest quartile of selenium, manganese, and strontium were 0.47 (95% CI: 0.28-0.79), 1.57 (95% CI: 1.14-2.14), and 0.47 (95% CI: 0.26-0.86), respectively. A nonlinear relationship between zinc, cobalt and mortality was also observed. Furthermore, a significant overall effect of mixtures of trace elements on all-cause mortality was identified, especially when the mixture was at the 60th percentile or lower. CONCLUSION: The association of multiple trace elements with all-cause mortality was identified in this study. It is recommended that healthcare providers and relevant public health agencies should strengthen the surveillance and management of trace elements. Emphasis should be placed on monitoring the sources of trace elements such as the body, food, and environment. More population studies and animal experiments should be conducted to identify the underlying mechanisms. CI - Copyright (c) 2023 Zhao, Wang, Yang and Shen. FAU - Zhao, Shaohua AU - Zhao S AD - Department of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan, China. AD - Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital of Shandong University, Jinan, China. FAU - Wang, Shaohua AU - Wang S AD - Department of Internal Medicine, Jinan Hospital, Jinan, China. FAU - Yang, Xiaorong AU - Yang X AD - Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, China. AD - Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China. FAU - Shen, Lin AU - Shen L AD - Department of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan, China. AD - Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital of Shandong University, Jinan, China. LA - eng PT - Journal Article DEP - 20230718 PL - Switzerland TA - Front Nutr JT - Frontiers in nutrition JID - 101642264 PMC - PMC10391637 OTO - NOTNLM OT - dose-response OT - epidemiology OT - mixtures OT - mortality OT - trace element COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2023/08/03 06:42 MHDA- 2023/08/03 06:43 PMCR- 2023/01/01 CRDT- 2023/08/03 03:53 PHST- 2023/04/14 00:00 [received] PHST- 2023/06/27 00:00 [accepted] PHST- 2023/08/03 06:43 [medline] PHST- 2023/08/03 06:42 [pubmed] PHST- 2023/08/03 03:53 [entrez] PHST- 2023/01/01 00:00 [pmc-release] AID - 10.3389/fnut.2023.1205537 [doi] PST - epublish SO - Front Nutr. 2023 Jul 18;10:1205537. doi: 10.3389/fnut.2023.1205537. eCollection 2023.