-
The association between mercury concentrations and lipid profiles in the Korean National Environmental Health Survey (KoNEHS) cycle 3
-
Soo Ho Sohn, Han Cheol Heo, Seongmin Jo, Chulyong Park, Joon Sakong
-
Ann Occup Environ Med 2020;32:e19. Published online June 22, 2020
-
DOI: https://doi.org/10.35371/aoem.2020.32.e19
-
-
Abstract
PDFPubReaderePub
- Background
High concentrations of mercury intake from seafood are known to cause various side effects in humans, including on the nervous system. Various studies have reported the effects of mercury concentrations in humans; however, the association between dyslipidemia, a cardiovascular disease risk factor, and mercury remains controversial. Therefore, this study aimed to investigate the association between mercury accumulation and cholesterol concentrations in a Korean population. MethodsWe analyzed data of a sample of 3,228 respondents obtained from the Korean National Environmental Health Survey cycle 3, surveyed between 2015 and 2017, to determine how lipid profiles changed according to the blood mercury concentrations (BHg) and urine mercury concentrations (UHg). Multiple regression analysis was used to determine the effects of mercury concentrations among various factors affecting blood cholesterol levels. ResultsThe arithmetic mean (AM) of BHg was 2.91 (2.81–3.02) μg/L, and the geometric mean (GM) was 2.71 (2.59–2.85) μg/L. The AM of UHg was 0.52 (0.48–0.56) μg/L, and the GM was 0.35 (0.33–0.38) μg/L. Lipid profiles were more related to the BHg than to the UHg. Total cholesterol (total-C), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels increased significantly as BHg increased in males, and total-C, triglyceride, and LDL-C levels increased significantly in females. Multiple regression analysis indicated that BHg were significantly associated with total-C, HDL-C, and LDL-C levels. ConclusionsWe found an association between mercury exposure and the risk of dyslipidemia; however, further studies are required to elucidate a causal association.
-
Citations
Citations to this article as recorded by
- Do blood metals influence lipid profiles? Findings of a cross-sectional population-based survey
Sabit Cakmak, Kimberly Mitchell, Anna Lukina, Robert Dales Environmental Research.2023; 231: 116107. CrossRef - Association of Blood Total Mercury with Dyslipidemia in a sample of U.S. Adolescents: Results from the National Health and Nutrition Examination Survey Database, 2011–2018
Chibuzor Abasilim, Victoria Persky, Mary E. Turyk Hygiene and Environmental Health Advances.2023; 6: 100047. CrossRef - Association of Blood Mercury Level with Liver Enzymes in Korean Adults: An Analysis of 2015–2017 Korean National Environmental Health Survey
Jin-Wook Chung, Dilaram Acharya, Jitendra Kumar Singh, Joon Sakong International Journal of Environmental Research and Public Health.2023; 20(4): 3290. CrossRef - Heavy metal-induced lipogenic gene aberration, lipid dysregulation and obesogenic effect: a review
Yang Zhou, Frank Peprah Addai, Xinshuang Zhang, Yuelin Liu, Yinfeng Wang, Feng Lin, Alex Tuffour, Jie Gu, Guangxiang Liu, Haifeng Shi Environmental Chemistry Letters.2022; 20(3): 1611. CrossRef - Mercury may reduce the protective effect of sea fish consumption on serum triglycerides levels in Chinese adults: Evidence from China National Human Biomonitoring
Bing Wu, Yingli Qu, Yifu Lu, Saisai Ji, Liang Ding, Zheng Li, Miao Zhang, Heng Gu, Qi Sun, Bo Ying, Feng Zhao, Xulin Zheng, Yidan Qiu, Zheng Zhang, Ying Zhu, Zhaojin Cao, Yuebin Lv, Xiaoming Shi Environmental Pollution.2022; 311: 119904. CrossRef - Misuse of Cardiac Lipid upon Exposure to Toxic Trace Elements—A Focused Review
Kaviyarasi Renu, Anirban Goutam Mukherjee, Uddesh Ramesh Wanjari, Sathishkumar Vinayagam, Vishnu Priya Veeraraghavan, Balachandar Vellingiri, Alex George, Ricardo Lagoa, Kamaraj Sattu, Abhijit Dey, Abilash Valsala Gopalakrishnan Molecules.2022; 27(17): 5657. CrossRef - The effects of chemical mixtures on lipid profiles in the Korean adult population: threshold and molecular mechanisms for dyslipidemia involved
Hai Duc Nguyen, Hojin Oh, Min-Sun Kim Environmental Science and Pollution Research.2022; 29(26): 39182. CrossRef - Association between Heavy Metal Exposure and Dyslipidemia among Korean Adults: From the Korean National Environmental Health Survey, 2015–2017
Do-won Kim, Jeongwon Ock, Kyong-Whan Moon, Choong-Hee Park International Journal of Environmental Research and Public Health.2022; 19(6): 3181. CrossRef
-
71
View
-
0
Download
-
6
Web of Science
-
8
Crossref
-
Validity assessment of self-reported smoking status in firefighters using the urine cotinine test
-
Han Cheol Heo, Young Seok Byun, Soo Ho Sohn, Seong Min Jo, Sung Kyu Park, Joon Sakong
-
Ann Occup Environ Med 2020;32:e2. Published online January 2, 2020
-
DOI: https://doi.org/10.35371/aoem.2020.32.e2
-
-
Abstract
PDFPubReaderePub
- Background
In firefighters, smoking management is important because they are exposed to various harmful substances in their occupational environment. Accurate surveys of smoking status are essential to control tobacco use. The main disadvantage of self-report questionnaires, which are commonly used for investigating smoking status, is the possibility that the subjects' response are invalid. If the validity of firefighters' answers on smoking questionnaires is not adequate, different methods will be needed for investigating smoking status in firefighters. MethodsThis study was conducted on 445 male firefighters from 9 fire stations in Daegu (the city in South Korea) who visited a medical institution for medical checkup in 2016. The urine cotinine test strip (DCT-102; CLIAwaived Inc., cut-off value = 200 ng/mL) was used to classify the actual smoking status and to assess the validity of self-reported smoking status on questionnaires. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the smoking questionnaires were analyzed. Subjects testing positive in the urine cotinine test (assumed the actual current smokers) were selected. The frequency at which actual current smokers were misclassified as current non-smokers by the questionnaire was calculated. Subjects' characteristics were analyzed for possible association with any discrepancy between self-reported smoking status and urine cotinine test results. ResultsThe smoking rates among firefighters surveyed using the smoking questionnaire and the urine cotinine test were 22.47% and 51.24%, respectively. Of the all subjects, 29.66% (n = 132) were misclassified. The sensitivity of the smoking questionnaire was 42.98%, the specificity was 99.08%, the PPV was 98.00%, and the NPV was 62.32%. In the 228 subjects classified as current actual smokers by the urine cotinine test, 57.02% (n = 130) were misclassified on the questionnaire. The misclassification rate increased with age. The degree of misclassification also increased when subjects had a history of disease. ConclusionsIn present study, the validity of the smoking questionnaire for firefighters was not suitable for investigating smoking status due to low sensitivity. To increase the validity of smoking status monitoring in firefighters, consideration of the various factors like survey environment, subjects' characteristics, and occupational factors is needed.
-
Citations
Citations to this article as recorded by
- Association between Smoking Status and the Risk of Hip Fracture in Patients with Type 2 Diabetes: A Nationwide Population-Based Study
Se-Won Lee, Jun-Young Heu, Ju-Yeong Kim, Jinyoung Kim, Kyungdo Han, Hyuk-Sang Kwon Endocrinology and Metabolism.2023; 38(6): 679. CrossRef - Smoking Prevalence and Factors Associated with False Reporting in Korean Adolescents: The Korea National Health and Nutrition Examination Survey (2016-2020)
Seong Jun Park, Yoo Bin Seo, Jungun Lee, Seung Hee Kim, Chung Hwan Kim Korean Journal of Family Practice.2022; 12(5): 375. CrossRef - Combustible cigarettes, heated tobacco products, combined product use, and periodontal disease: A cross-sectional JASTIS study
Takashi Yoshioka, Takahiro Tabuchi, Stanton A. Glantz PLOS ONE.2021; 16(3): e0248989. CrossRef - Biomonitoring of smoke exposure in firefighters: A review
Biban Gill, Philip Britz-McKibbin Current Opinion in Environmental Science & Health.2020; 15: 57. CrossRef
-
76
View
-
0
Download
-
3
Web of Science
-
4
Crossref
|