Associations between urinary heavy metal concentrations and blood pressure in residents of Asian countries View Full Text


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Article Info

DATE

2021-10-08

AUTHORS

Yuki Mizuno, Hana Shimizu-Furusawa, Shoko Konishi, Tsukasa Inaoka, Sk Akhtar Ahmad, Makiko Sekiyama, Oekan S. Abdoellah, Budhi Gunawan, Rajendra Prasad Parajuli, Yukio Ikemoto, Tran Dinh Lam, Chiho Watanabe, Masahiro Umezaki

ABSTRACT

BACKGROUND: Previous studies have suggested that exposures to heavy metals (arsenic, cadmium, lead, and selenium) may be associated with differences in blood pressure. However, the findings of these studies have been inconsistent. This study was performed to examine the associations between urinary heavy metal concentrations and blood pressure among residents of four Asian countries (Bangladesh, Indonesia, Nepal, and Vietnam). METHODS: This cross-sectional study examined 1899 adults in four Asian countries. Urinary concentrations of heavy metals were measured by inductively coupled plasma mass spectrometry. A questionnaire survey was administered regarding individual characteristics. Anthropometric measurements (height and weight) were performed. Systolic and diastolic blood pressures were measured after a short rest. Multiple linear regression models were applied to investigate associations between urinary heavy metal concentrations and blood pressure after adjustments for age, sex, and body mass index. RESULTS: The geometric means of the urinary concentrations of arsenic, cadmium, lead, and selenium were 84.6, 0.885, 2.09, and 16.5 μg/g creatinine, respectively. The urinary arsenic concentrations were slightly higher than those typically reported in non-polluted populations, while urinary cadmium, lead, and selenium concentrations were equivalent or slightly lower. The urinary lead concentrations were positively associated with both systolic and diastolic blood pressure, but urinary selenium concentrations were negatively associated with them. CONCLUSIONS: Variations in the urinary concentrations of lead and selenium were associated with blood pressure at low levels of exposure/intake. More... »

PAGES

101

References to SciGraph publications

  • 2016-09-15. Cadmium body burden and increased blood pressure in middle-aged American Indians: the Strong Heart Study in JOURNAL OF HUMAN HYPERTENSION
  • 2003-03-21. No clear-cut evidence for cadmium-induced renal tubular dysfunction among over 10,000 women in the Japanese general population: a nationwide large-scale survey in INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH
  • 2011-04-21. Oxidative stress and endothelial dysfunction in hypertension in HYPERTENSION RESEARCH
  • 2015-11-03. A Western dietary pattern is associated with higher blood pressure in Iranian adolescents in EUROPEAN JOURNAL OF NUTRITION
  • 1997-07. Lack of association between copper, zinc, selenium and blood pressure among healthy children in JOURNAL OF HUMAN HYPERTENSION
  • 2016-02-17. Longitudinal association between selenium levels and hypertension in a rural elderly Chinese cohort in THE JOURNAL OF NUTRITION, HEALTH & AGING
  • 2016-10-01. Is Urinary Cadmium a Biomarker of Long-term Exposure in Humans? A Review in CURRENT ENVIRONMENTAL HEALTH REPORTS
  • 2000-03. Correlation between urine and blood concentrations, and dietary intake of cadmium and lead among women in the general population of Japan in INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH
  • 2014-07-31. Higher urinary heavy metal, phthalate and arsenic concentrations accounted for 3–19% of the population attributable risk for high blood pressure: US NHANES, 2009–2012 in HYPERTENSION RESEARCH
  • 2015-08-16. Influence of Physical Activity on Hypertension and Cardiac Structure and Function in CURRENT HYPERTENSION REPORTS
  • 2013-02-27. Investigation of lead concentrations in whole blood, plasma and urine as biomarkers for biological monitoring of lead exposure in JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY
  • 2011-09-14. Selenium interactions and toxicity: a review in CELL BIOLOGY AND TOXICOLOGY
  • 2017-03-07. Chronic exposure to arsenic, LINE-1 hypomethylation, and blood pressure: a cross-sectional study in Bangladesh in ENVIRONMENTAL HEALTH
  • 1990-04. Urinary selenium levels in Japanese males and females in BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY
  • 2013-04-21. Association of urinary monomethylated arsenic concentration and risk of hypertension: a cross-sectional study from arsenic contaminated areas in northwestern China in ENVIRONMENTAL HEALTH
  • Journal

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    URI

    http://scigraph.springernature.com/pub.10.1186/s12199-021-01027-y

    DOI

    http://dx.doi.org/10.1186/s12199-021-01027-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1141742819

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34625018


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