Literature DB >> 32898563

Airborne metals exposure and risk of hypertension in the Sister Study.

Jing Xu1, Alexandra J White2, Nicole M Niehoff2, Katie M O'Brien2, Dale P Sandler3.   

Abstract

BACKGROUND: Hypertension-related disease burden is a major challenge globally, with an estimated 1.56 billion adults expected to be affected by hypertension by 2025. Environmental factors, such as metals, could be risk factors for hypertension, but the relationship between airborne metals and hypertension is rarely studied.
METHODS: Census-tract airborne metal concentrations (arsenic, cadmium, chromium, cobalt, lead, manganese, mercury, nickel, selenium, and antimony) from the U.S. Environmental Protection Agency 2005 National Air Toxics Assessment database were linked to enrollment residential addresses of 47,595 women in the Sister Study cohort. Hypertension was defined as high systolic (≥140 mm Hg) or diastolic (≥90 mm Hg) blood pressure measured by trained examiners at enrollment or taking anti-hypertensive medications. Multivariable log binomial regression was used to estimate adjusted prevalence ratios (PRs) and 95% confidence intervals (CIs) for the association between individual metals and hypertension, with and without co-adjustment for other metals. Quantile-based g-computation was used to estimate the joint effect of the overall metal mixture.
RESULTS: Comparing the highest to lowest quartiles, risk of hypertension was higher among women with higher residential exposure to arsenic (PR = 1.05, 95%CI = 1.02,1.09), lead (PR = 1.04, 95%CI = 1.01,1.08), chromium (PR = 1.03, 95%CI = 1.00,1.06), cobalt (PR = 1.03, 95%CI = 1.00,1.07), and manganese (PR = 1.03, 95%CI = 1.00,1.06). Selenium was associated with lower risk of hypertension (PR = 0.96, 95%CI = 0.93,0.99). Results were similar with mutual adjustment for all other metals. The associations varied by race/ethnicity, with greater PRs in other races/ethnicities (Hispanic, black, and other participants) compared to non-Hispanic white participants. The joint effect of a quartile increase in exposure to all the metals was 1.02 (95%CI = 0.99,1.04).
CONCLUSION: We found that living in areas of higher exposure to arsenic, lead, chromium, cobalt, and manganese was related to higher risk of hypertension, whereas living in areas with higher selenium was inversely related to the risk of hypertension. Published by Elsevier Inc.

Entities:  

Keywords:  Hypertension; Metals; Mixture

Year:  2020        PMID: 32898563      PMCID: PMC7658027          DOI: 10.1016/j.envres.2020.110144

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  6 in total

1.  Family History of Hypertension and Cobalt Exposure Synergistically Promote the Prevalence of Hypertension.

Authors:  Cailiang Zhang; Qibing Zeng; Yalan Liu; Zixiu Qin; Leilei Liu; Junyan Tao; Linyuan Zhang; Qianyuan Yang; Juan Lei; Xuejie Tang; Qiaorong Wang; Liubo Zheng; Feng Hong
Journal:  Biol Trace Elem Res       Date:  2021-04-12       Impact factor: 3.738

2.  Expression Profiles of Circular RNA in Aortic Vascular Tissues of Spontaneously Hypertensive Rats.

Authors:  Ying Liu; Ying Dong; Zhaojie Dong; Jiawei Song; Zhenzhou Zhang; Lirong Liang; Xiaoyan Liu; Lanlan Sun; Xueting Li; Miwen Zhang; Yihang Chen; Ran Miao; Jiuchang Zhong
Journal:  Front Cardiovasc Med       Date:  2021-12-20

3.  Association of blood cobalt concentrations with dyslipidemia, hypertension, and diabetes in a US population: A cross-sectional study.

Authors:  Hongxin Wang; Feng Li; Jianghua Xue; Yanshuang Li; Jiyu Li
Journal:  Medicine (Baltimore)       Date:  2022-01-14       Impact factor: 1.817

Review 4.  Human gut microbiota in health and disease: Unveiling the relationship.

Authors:  Muhammad Afzaal; Farhan Saeed; Yasir Abbas Shah; Muzzamal Hussain; Roshina Rabail; Claudia Terezia Socol; Abdo Hassoun; Mirian Pateiro; José M Lorenzo; Alexandru Vasile Rusu; Rana Muhammad Aadil
Journal:  Front Microbiol       Date:  2022-09-26       Impact factor: 6.064

5.  How do environmental characteristics jointly contribute to cardiometabolic health? A quantile g-computation mixture analysis.

Authors:  Noémie Letellier; Steven Zamora; Jiue-An Yang; Dorothy D Sears; Marta M Jankowska; Tarik Benmarhnia
Journal:  Prev Med Rep       Date:  2022-09-26

Review 6.  Exposure to Metal Mixtures in Association with Cardiovascular Risk Factors and Outcomes: A Scoping Review.

Authors:  Gyeyoon Yim; Yuting Wang; Caitlin G Howe; Megan E Romano
Journal:  Toxics       Date:  2022-03-01
  6 in total

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