PMID- 37498425 OWN - NLM STAT- MEDLINE DCOM- 20230825 LR - 20240327 IS - 1614-7499 (Electronic) IS - 0944-1344 (Linking) VI - 30 IP - 40 DP - 2023 Aug TI - Combined exposure to multiple metals on hypertension in NHANES under four statistical models. PG - 92937-92949 LID - 10.1007/s11356-023-28902-1 [doi] AB - Metals exposure has gained increasing attention in the hypertension prevention. However, previous studies have focused on the impacts of single or separated metals on hypertension, and the critical metals contributing to the prevalence of hypertension are still under discussion. We collected data from 5092 participants across three consecutive National Health and Nutrition Examination Survey (NHANES) circles (2011-2016). Weighted logistic regression, weighted quantile sum (WQS) regression, quantile-based g-computation (QGC), and Bayesian kernel machine regression (BKMR) analyses were conducted to evaluate the combined and individual effects of 15 urinary metals, as well as to identify the critical metals on the development of hypertension. In our study, the weighted prevalence of hypertension was 37.9%, and the average age was 47.42 years. Manganese, uranium and tin were found as the independent risk factors for hypertension, while barium, lead, and thallium were found to have protective effects against hypertension. Lead, barium, tungsten, uranium, and tin were determined as critical elements for the prediction of hypertension. No significant interaction relationship was detected between multiple metals. There might be potential positive combined effects of urinary metal mixture on hypertension. Tungsten, uranium, and tin were positively associated with hypertension while lead and barium were negatively associated with hypertension. The underlying mechanisms of urinary metal exposure on the risk of hypertension deserve further investigations. CI - (c) 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. FAU - Zhao, Songfeng AU - Zhao S AD - Department of Neurosurgery, the Third Xiangya Hospital, Central South University, Hunan, China. FAU - Fan, Liqiaona AU - Fan L AD - Department of General Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China. FAU - Wang, Yutong AU - Wang Y AD - Department of Neurosurgery, the Third Xiangya Hospital, Central South University, Hunan, China. FAU - Dong, Siyuan AU - Dong S AD - Department of Neurosurgery, the Third Xiangya Hospital, Central South University, Hunan, China. FAU - Han, Mingyang AU - Han M AD - Department of Neurosurgery, the Third Xiangya Hospital, Central South University, Hunan, China. FAU - Qin, Yongkai AU - Qin Y AD - Department of Neurosurgery, the Third Xiangya Hospital, Central South University, Hunan, China. FAU - Chen, Jigang AU - Chen J AD - Department of Burn and Plastic Surgery, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China. FAU - Liu, Aihua AU - Liu A AUID- ORCID: 0000-0002-6391-805X AD - Department of Neurosurgery, the Third Xiangya Hospital, Central South University, Hunan, China. liuaihuadoctor@163.com. AD - Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. liuaihuadoctor@163.com. LA - eng GR - 81771233,82171290/Natural Science Foundation of China/ GR - GN-2020R0007/Research and Promotion Program of Appropriate Techniques for Intervention of Chinese High-risk Stroke People/ GR - Z181100009618035/BTH Coordinated Development- Beijing Science and Technology Planning Project/ GR - DFL20190501/Beijing Municipal Administration of Hospitals' Ascent Plan/ GR - 19L2013/Beijing Natural Science Foundation/ GR - 22G10396/Beijing Natural Science Foundation/ PT - Journal Article DEP - 20230727 PL - Germany TA - Environ Sci Pollut Res Int JT - Environmental science and pollution research international JID - 9441769 RN - 24GP945V5T (Barium) RN - V9306CXO6G (Tungsten) RN - 4OC371KSTK (Uranium) RN - 7440-31-5 (Tin) SB - IM MH - Humans MH - Middle Aged MH - Nutrition Surveys MH - Environmental Exposure/analysis MH - Barium MH - Tungsten MH - *Uranium MH - Bayes Theorem MH - Tin MH - Models, Statistical MH - *Hypertension/chemically induced/epidemiology OTO - NOTNLM OT - Bayesian kernel machine regression (BKMR) OT - Metals OT - National Health and Nutrition Examination Survey (NHANES) OT - Quantile-based g-computation (QGC) OT - Restricted cubic splines (RCS) OT - Weighted quantile sum (WQS) EDAT- 2023/07/27 13:10 MHDA- 2023/08/25 06:42 CRDT- 2023/07/27 11:09 PHST- 2023/03/01 00:00 [received] PHST- 2023/07/17 00:00 [accepted] PHST- 2023/08/25 06:42 [medline] PHST- 2023/07/27 13:10 [pubmed] PHST- 2023/07/27 11:09 [entrez] AID - 10.1007/s11356-023-28902-1 [pii] AID - 10.1007/s11356-023-28902-1 [doi] PST - ppublish SO - Environ Sci Pollut Res Int. 2023 Aug;30(40):92937-92949. doi: 10.1007/s11356-023-28902-1. Epub 2023 Jul 27.