Multiple metal exposures and metabolic syndrome: A cross-sectional analysis of the National Health and Nutrition Examination Survey 2011–2014

Epidemiologic studies suggest toxic metals are linked with diabetes and cardiovascular disease, while experimental studies indicate nutritionally essential metals are involved in the metabolism of macronutrients and defense against oxidative stress. We sought to evaluate how essential and toxic meta...

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Veröffentlicht in:Environmental research 2019-01, Vol.168, p.397-405
Hauptverfasser: Bulka, Catherine M., Persky, Victoria W., Daviglus, Martha L., Durazo-Arvizu, Ramon A., Argos, Maria
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container_start_page 397
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creator Bulka, Catherine M.
Persky, Victoria W.
Daviglus, Martha L.
Durazo-Arvizu, Ramon A.
Argos, Maria
description Epidemiologic studies suggest toxic metals are linked with diabetes and cardiovascular disease, while experimental studies indicate nutritionally essential metals are involved in the metabolism of macronutrients and defense against oxidative stress. We sought to evaluate how essential and toxic metals are cross-sectionally related to metabolic syndrome, a clustering of cardiometabolic conditions. Using data from the 2011–2014 National Health and Nutrition Examination Survey (n = 1088), we characterized metal concentrations as measured in spot urine (arsenic, cadmium, and inorganic/elemental mercury), whole blood (manganese, lead, methylmercury, and selenium), and serum (copper and zinc) samples. Principal component analysis was performed to derive patterns of exposures. Metabolic syndrome was defined according to the 2009 Joint Scientific Statement as the presence of ≥ 3 of the following conditions: high blood pressure, high triglycerides, low HDL cholesterol, high fasting glucose, and abdominal obesity. After adjustment for potential confounders, prevalence ratios for metabolic syndrome comparing the highest to the lowest quartiles were 1.41 (95% CI: 1.18–1.67) for the arsenic-inorganic/elemental mercury pattern, 0.95 (0.78–1.16) for the methylmercury-manganese pattern, 0.73 (0.57–0.94) for the cadmium-lead pattern, 0.91 (0.76–1.10) for the copper pattern, and 1.36 (1.13–1.63) for the selenium-zinc pattern. The positive associations observed for the arsenic-inorganic/elemental mercury pattern were due to an elevated prevalence of high blood pressure, low HDL cholesterol, and high triglycerides among those with greater exposures. Associations for the selenium-zinc pattern were driven by a positive relationship with high triglycerides. Greater lead-cadmium co-exposures were related to a lower prevalence of dyslipidemia and abdominal obesity. These cross-sectional findings suggest both toxic and essential metal exposures may contribute to cardiometabolic health, but need to be confirmed with prospective data. •Metabolic syndrome affects 1 in 3 adults within the United States.•Little is known about the cardiometabolic health effects of low-level toxic metal exposures.•Research on essential metals in relation to cardiometabolic health is also sparse.•In this study, metal biomarkers were associated with prevalent metabolic syndrome.
doi_str_mv 10.1016/j.envres.2018.10.022
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We sought to evaluate how essential and toxic metals are cross-sectionally related to metabolic syndrome, a clustering of cardiometabolic conditions. Using data from the 2011–2014 National Health and Nutrition Examination Survey (n = 1088), we characterized metal concentrations as measured in spot urine (arsenic, cadmium, and inorganic/elemental mercury), whole blood (manganese, lead, methylmercury, and selenium), and serum (copper and zinc) samples. Principal component analysis was performed to derive patterns of exposures. Metabolic syndrome was defined according to the 2009 Joint Scientific Statement as the presence of ≥ 3 of the following conditions: high blood pressure, high triglycerides, low HDL cholesterol, high fasting glucose, and abdominal obesity. After adjustment for potential confounders, prevalence ratios for metabolic syndrome comparing the highest to the lowest quartiles were 1.41 (95% CI: 1.18–1.67) for the arsenic-inorganic/elemental mercury pattern, 0.95 (0.78–1.16) for the methylmercury-manganese pattern, 0.73 (0.57–0.94) for the cadmium-lead pattern, 0.91 (0.76–1.10) for the copper pattern, and 1.36 (1.13–1.63) for the selenium-zinc pattern. The positive associations observed for the arsenic-inorganic/elemental mercury pattern were due to an elevated prevalence of high blood pressure, low HDL cholesterol, and high triglycerides among those with greater exposures. Associations for the selenium-zinc pattern were driven by a positive relationship with high triglycerides. Greater lead-cadmium co-exposures were related to a lower prevalence of dyslipidemia and abdominal obesity. 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After adjustment for potential confounders, prevalence ratios for metabolic syndrome comparing the highest to the lowest quartiles were 1.41 (95% CI: 1.18–1.67) for the arsenic-inorganic/elemental mercury pattern, 0.95 (0.78–1.16) for the methylmercury-manganese pattern, 0.73 (0.57–0.94) for the cadmium-lead pattern, 0.91 (0.76–1.10) for the copper pattern, and 1.36 (1.13–1.63) for the selenium-zinc pattern. The positive associations observed for the arsenic-inorganic/elemental mercury pattern were due to an elevated prevalence of high blood pressure, low HDL cholesterol, and high triglycerides among those with greater exposures. Associations for the selenium-zinc pattern were driven by a positive relationship with high triglycerides. Greater lead-cadmium co-exposures were related to a lower prevalence of dyslipidemia and abdominal obesity. 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After adjustment for potential confounders, prevalence ratios for metabolic syndrome comparing the highest to the lowest quartiles were 1.41 (95% CI: 1.18–1.67) for the arsenic-inorganic/elemental mercury pattern, 0.95 (0.78–1.16) for the methylmercury-manganese pattern, 0.73 (0.57–0.94) for the cadmium-lead pattern, 0.91 (0.76–1.10) for the copper pattern, and 1.36 (1.13–1.63) for the selenium-zinc pattern. The positive associations observed for the arsenic-inorganic/elemental mercury pattern were due to an elevated prevalence of high blood pressure, low HDL cholesterol, and high triglycerides among those with greater exposures. Associations for the selenium-zinc pattern were driven by a positive relationship with high triglycerides. Greater lead-cadmium co-exposures were related to a lower prevalence of dyslipidemia and abdominal obesity. 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source MEDLINE; Elsevier ScienceDirect Journals
subjects arsenic
blood serum
cadmium
copper
Cross-Sectional Studies
diabetes
Environmental Exposure - statistics & numerical data
Environmental Pollutants - metabolism
epidemiological studies
Epidemiology
Essential metals
Female
glucose
high density lipoprotein cholesterol
Humans
hyperlipidemia
hypertension
lead
Male
manganese
mercury
Metabolic syndrome
Metabolic Syndrome - epidemiology
Metabolic Syndrome - metabolism
metabolism
Metals - metabolism
methylmercury compounds
National Health and Nutrition Examination Survey
Nutrition Surveys
principal component analysis
Prospective Studies
selenium
Toxic metals
toxicity
triacylglycerols
urine
zinc
title Multiple metal exposures and metabolic syndrome: A cross-sectional analysis of the National Health and Nutrition Examination Survey 2011–2014
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