Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumula...

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Main Authors: Wei-Lun Wen, Chih-Wen Wang, Da-Wei Wu, Szu-Chia Chen, Chih-Hsing Hung, Chao-Hung Kuo
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/12/9/2666
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spelling doaj-306dff1813a14d21918860be04aba70e2020-11-25T03:37:19ZengMDPI AGNutrients2072-66432020-09-01122666266610.3390/nu12092666Associations of Heavy Metals with Metabolic Syndrome and Anthropometric IndicesWei-Lun Wen0Chih-Wen Wang1Da-Wei Wu2Szu-Chia Chen3Chih-Hsing Hung4Chao-Hung Kuo5Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, TaiwanDepartment of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, TaiwanDepartment of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, TaiwanDepartment of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, TaiwanResearch Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung 807, TaiwanDepartment of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, TaiwanPrevious studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; <i>p</i> = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; <i>p</i> < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear <i>p</i> ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.https://www.mdpi.com/2072-6643/12/9/2666heavy metalsmetabolic syndromeanthropometric indices
collection DOAJ
language English
format Article
sources DOAJ
author Wei-Lun Wen
Chih-Wen Wang
Da-Wei Wu
Szu-Chia Chen
Chih-Hsing Hung
Chao-Hung Kuo
spellingShingle Wei-Lun Wen
Chih-Wen Wang
Da-Wei Wu
Szu-Chia Chen
Chih-Hsing Hung
Chao-Hung Kuo
Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices
Nutrients
heavy metals
metabolic syndrome
anthropometric indices
author_facet Wei-Lun Wen
Chih-Wen Wang
Da-Wei Wu
Szu-Chia Chen
Chih-Hsing Hung
Chao-Hung Kuo
author_sort Wei-Lun Wen
title Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices
title_short Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices
title_full Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices
title_fullStr Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices
title_full_unstemmed Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices
title_sort associations of heavy metals with metabolic syndrome and anthropometric indices
publisher MDPI AG
series Nutrients
issn 2072-6643
publishDate 2020-09-01
description Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; <i>p</i> = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; <i>p</i> < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear <i>p</i> ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.
topic heavy metals
metabolic syndrome
anthropometric indices
url https://www.mdpi.com/2072-6643/12/9/2666
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