IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i11p1093-d82308.html
   My bibliography  Save this article

Arsenic Exposure and Predicted 10-Year Atherosclerotic Cardiovascular Risk Using the Pooled Cohort Equations in U.S. Hypertensive Adults

Author

Listed:
  • Qingjiao Nong

    (Department of Epidemiology, Guangxi Medical University School of Public Health, 22 Shuangyong Road, Nanning 530021, China)

  • Yiyi Zhang

    (Departments of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Eliseo Guallar

    (Departments of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Qiuan Zhong

    (Department of Epidemiology, Guangxi Medical University School of Public Health, 22 Shuangyong Road, Nanning 530021, China)

Abstract

This study was to evaluate the association of urine arsenic with predicted 10-year atherosclerotic cardiovascular disease (ASCVD) risk in U.S. adults with hypertension. Cross-sectional analysis was conducted in 1570 hypertensive adults aged 40–79 years in the 2003–2012 National Health and Nutrition Examination Survey (NHANES) with determinations of urine arsenic. Predicted 10-year ASCVD risk was estimated by the Pooled Cohort Equations, developed by the American College of Cardiology/American Heart Association in 2013. For men, after adjustment for sociodemographic factors, urine dilution, ASCVD risk factors and organic arsenic intake from seafood, participants in the highest quartiles of urine arsenic had higher 10-year predicted ASCVD risk than in the lowest quartiles; the increases were 24% (95% confidence interval (CI): 2%, 53%) for total arsenic, 13% (95% CI: 2%, 25%) for dimethylarsinate and 22% (95% CI: 5%, 40%) for total arsenic minus arsenobetaine separately. For women, the corresponding increases were 5% (95% CI: −15%, 29%), 10% (95% CI: −8%, 30%) and 0% (95% CI: −15%, 19%), respectively. Arsenic exposure, even at low levels, may contribute to increased ASCVD risk in men with hypertension. Furthermore, our findings suggest that particular circumstances need urgently to be considered while elucidating cardiovascular effects of low inorganic arsenic levels.

Suggested Citation

  • Qingjiao Nong & Yiyi Zhang & Eliseo Guallar & Qiuan Zhong, 2016. "Arsenic Exposure and Predicted 10-Year Atherosclerotic Cardiovascular Risk Using the Pooled Cohort Equations in U.S. Hypertensive Adults," IJERPH, MDPI, vol. 13(11), pages 1-17, November.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:11:p:1093-:d:82308
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/11/1093/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/11/1093/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zierold, K.M. & Knobeloch, L. & Anderson, H., 2004. "Prevalence of chronic diseases in adults exposed to arsenic-contaminated drinking water," American Journal of Public Health, American Public Health Association, vol. 94(11), pages 1936-1937.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guili Chang & Yueliang Hu & Qian Ge & Shaoli Chu & Alberto Avolio & Junli Zuo, 2023. "Arterial Stiffness as a Predictor of the Index of Atherosclerotic Cardiovascular Disease in Hypertensive Patients," IJERPH, MDPI, vol. 20(4), pages 1-13, February.
    2. Lingqian Xu & Debapriya Mondal & David A. Polya, 2020. "Positive Association of Cardiovascular Disease (CVD) with Chronic Exposure to Drinking Water Arsenic (As) at Concentrations below the WHO Provisional Guideline Value: A Systematic Review and Meta-anal," IJERPH, MDPI, vol. 17(7), pages 1-24, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Johanna Brinkel & Mobarak H. Khan & Alexander Kraemer, 2009. "A Systematic Review of Arsenic Exposure and Its Social and Mental Health Effects with Special Reference to Bangladesh," IJERPH, MDPI, vol. 6(5), pages 1-11, May.
    2. Klaus F. Zimmermann, 2016. "Health shocks and well-being," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 59(1), pages 155-164, March.
    3. Chowdhury, Shyamal & Krause-Pilatus, Annabelle & Zimmermann, Klaus F., 2015. "Arsenic Contamination of Drinking Water and Mental Health," IZA Discussion Papers 9400, Institute of Labor Economics (IZA).
    4. Yongfang Li & Da Wang & Xin Li & Quanmei Zheng & Guifan Sun, 2015. "A Potential Synergy between Incomplete Arsenic Methylation Capacity and Demographic Characteristics on the Risk of Hypertension: Findings from a Cross-Sectional Study in an Arsenic-Endemic Area of Inn," IJERPH, MDPI, vol. 12(4), pages 1-18, March.
    5. Tongzhang Zheng & Simin Liu & Yana Bai & Ning Cheng & Stephone Buka & Aimin Yang & Kunchong Shi & Xichi Zhang & Yuanyuan Li & Shunqing Xu & Bin Zhang & John Wise, 2018. "Current Understanding of the Relationship between Metal Exposures and Risk of Type 2 Diabetes," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 7(2), pages 40-48, May.
    6. Fen Wu & Yu Chen & Ana Navas-Acien & Michela L. Garabedian & Jane Coates & Jonathan D. Newman, 2021. "Arsenic Exposure, Arsenic Metabolism, and Glycemia: Results from a Clinical Population in New York City," IJERPH, MDPI, vol. 18(7), pages 1-9, April.
    7. Tongzhang Zheng & Simin Liu & Yana Bai & Ning Cheng & Stephone Buka & Aimin Yang & Kunchong Shi & Xichi Zhang & Yuanyuan Li & Shunqing Xu & Bin Zhang & John Wise, 2018. "Current Understanding of the Relationship between Metal Exposures and Risk of Type 2 Diabetes," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 7(2), pages 1-9, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:11:p:1093-:d:82308. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.