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The Relevance of Hyperuricemia and Metabolic Syndrome and the Effect of Blood Lead Level on Uric Acid Concentration in Steelmaking Workers
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Deul Lee, Won-Jun Choi, Jae-Seok Oh, Min-Kee Yi, Sung-Woo Han, Jong-Wan Yun, Sang-Hwan Han
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Ann Occup Environ Med 2013;25:27-27. Published online October 25, 2013
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DOI: https://doi.org/10.1186/2052-4374-25-27
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Abstract
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- Objectives
Uric acid concentration is known to increase the prevalence of metabolic syndrome by affecting its components, resulting in increased risk of cerebrovascular and cardiovascular diseases, and long-term lead exposure is known to affect this serum uric acid level. In this study, we aimed to examine the association between the causes of hyperuricemia and metabolic syndrome, and to determine whether an increased blood lead level affects hyperuricemia. MethodAnthropometric measurements, surveys, and blood tests were conducted between May and June 2012 in 759 men working in the steelmaking process at a domestic steel company. Workers were divided into 2 groups according to the presence or absence of hyperuricemia, and an analysis was performed to examine its association with metabolic syndrome. In addition, the workers were divided into 3 groups according to the blood lead level to analyze the association between blood lead and hyperuricemia. ResultsThe geometric mean (standard deviation) of the blood lead levels in the hyperuricemia group was significantly higher than that of the healthy group (3.8 [1.8] vs. 3.3 [1.8] μg/dL). The adjusted odds ratio for metabolic syndrome of the hyperuricemia group increased significantly to 1.787 (1.125–2.839) compared with the healthy group. In addition, the adjusted odds ratios for the occurrence of hyperuricemia in the tertile 2 (2.61–4.50 μg/dL) and tertile 3 groups (>4.50 μg/dL) according to blood lead level significantly increased to 1.763 (1.116–2.784) and 1.982 (1.254–3.132), respectively, compared with the tertile 1 group (< 2.61 μg/dL). ConclusionHyperuricemia is believed to function as an independent risk factor for metabolic syndrome, while lead seems to increase the serum uric acid level even at a considerably low blood level. Therefore, attention should be given to patients with hyperuricemia and metabolic syndrome who are prone to lead exposure, and a prospective study should be conducted to identify their causal relationship.
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Citations
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- A systematic review and meta-analysis of the hyperuricemia risk from certain metals
Tingting Gu, Guorong Cao, Miao Luo, Nannan Zhang, Ting Xue, Rongchun Hou, Min Leng Clinical Rheumatology.2022; 41(12): 3641. CrossRef - Environmental factors and risk of gout
Zheng-Dong Wu, Xiao-Ke Yang, Yi-Sheng He, Jing Ni, Jie Wang, Kang-Jia Yin, Ji-Xiang Huang, Yue Chen, Ya-Ting Feng, Peng Wang, Hai-Feng Pan Environmental Research.2022; 212: 113377. CrossRef - Association of hyperuricemia and metabolic syndrome in type 2 diabetes mellitus patients in Dakar
Oumou Kesso Barry Nènè, Djite Moustapha, Matar Kandji Pape, Hadji Malick Ndour El, Assane Ndour Michel, Diedhiou Demba, Fatou Gueye-Tall, Palanga Koboyo Alix, Marieme Thioune Ndeye, Fatou Coly Najah, Doupa Dominique, Ndour Mbaye Maimouna, Cisse Aynina, Am African Journal of Biochemistry Research.2021; 15(3): 43. CrossRef - Frequency of daily tooth brushing and subsequent cardiovascular events
Daiki Kobayashi, Atsushi Mizuno, Rie Mitsui, Takuro Shimbo Coronary Artery Disease.2020; 31(6): 545. CrossRef - Occupational exposure to inorganic dust and risk of gout: a population-based study
Valgerdur Sigurdardottir, Lennart Jacobsson, Linus Schiöler, Anna Svärd, Mats Dehlin, Kjell Toren RMD Open.2020; 6(2): e001178. CrossRef - Associations between blood lead, cadmium, and mercury levels with hyperuricemia in the Korean general population: A retrospective analysis of population‐based nationally representative data
Wonkil Jung, Yunkyung Kim, Hoseob Lihm, Jihun Kang International Journal of Rheumatic Diseases.2019; 22(8): 1435. CrossRef - The role of cadmium in obesity and diabetes
Alexey A. Tinkov, Tommaso Filippini, Olga P. Ajsuvakova, Jan Aaseth, Yordanka G. Gluhcheva, Juliana M. Ivanova, Geir Bjørklund, Margarita G. Skalnaya, Eugenia R. Gatiatulina, Elizaveta V. Popova, Olga N. Nemereshina, Marco Vinceti, Anatoly V. Skalny Science of The Total Environment.2017; 601-602: 741. CrossRef
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Risk Assessment for Cardiovascular Diseases in Male Workers: Comparing KOSHA Guidelines and the Framingham Risk Score System
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In Yong Um, Won Jun Choi, Deul Lee, Jae Seok Oh, Min Kee Yi, Jong Wan Yoon, Sang Hwan Han
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Korean Journal of Occupational and Environmental Medicine 2012;24(4):365-374. Published online December 31, 2012
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DOI: https://doi.org/10.35371/kjoem.2012.24.4.365
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Abstract
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- OBJECTIVES
This study aimed to investigate the 10-year risk of cardiovascular disease (CVD) by Framingham risk score (FRS) who classified as "healthy group" by Korean Occupational Safety and Health Agent (KOSHA)' s cardiovascular risk assessment. METHODS The subjects of this study were 1,781 male workers in a large steel company. Health status was obtained periodically through medical examinations and questionnaires. We assessed cardiovascular risk using KOSHA guidelines and calculated the 10-year risk of cardiovascular disease using the Framingham risk score for those categorized to the "healthy group" by KOSHA guideline. A closer examination of cardiovascular risk factors was performed in 62 subjects paradoxically placed in the "healthy group" by KOSHA guidelines and the "high-risk group" by FRS. RESULTS Among the "healthy group" by KOSHA's cardiovascular risk assessment, 230(15.8%) subjects had more than 3 CVD risk factors and 62(4.2%) subjects were high risk group (more than 20%) in 10-years risk of CVD by Framingham risk score. Modifiable risk factors included cigarette smoking (96.8%), high serum total cholesterol (82.3%), high serum triglyceride (66.1%), insufficient physical activity (66.1%), and obesity (58.1%). CONCLUSIONS Among subjects with normal blood pressure, it seems that KOSHA guidelines underestimate CVD risk, identified by the Framingham risk score. For the effective prevention and management of CVD, modifiable risk factors, such as cigarette smoking, dyslipidemia, and obesity, need to be constructively controlled.
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Citations
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- Comparing Korea Occupational Safety & Health Agency and National Health Insurance Service’s cardio-cerebrovascular diseases risk-assessment tools using data from one hospital’s health checkups
Yunrae Cho, Dong Geon Kim, Byung-Chan Park, Seonhee Yang, Sang Kyu Kim Annals of Occupational and Environmental Medicine.2023;[Epub] CrossRef - Comparison of risk-assessment tools for cardio-cerebrovascular diseases (CVD) in male shipyard workers: a cross-sectional study
Jea Chul Ha, Jun Seok Son, Young Ouk Kim, Chang Ho Chae, Chan Woo Kim, Hyoung Ouk Park, Jun Ho Lee, Young Hoo Shin, Hyun Woo Park Annals of Occupational and Environmental Medicine.2019;[Epub] CrossRef - Cardiovascular Disease According to Job Type and Life Style
Wan-Young Yoon Journal of Digital Convergence.2016; 14(2): 501. CrossRef - The Assessment of Framingham Risk Score and 10 Year CHD Risk according to Application of LDL Cholesterol or Total Cholesterol
Se Young Kwon, Young Ak Na Korean Journal of Clinical Laboratory Science.2016; 48(2): 54. CrossRef - 10-Year Risk for Cardiovascular Disease Among Male Workers in Small-Sized Industries
Kyongok Park, Seon Young Hwang Journal of Cardiovascular Nursing.2015; 30(3): 267. CrossRef
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