Annals of Occupational and Environmental Medicine

Research Article

Association between urinary phthalate metabolites and obesity in adult Korean population: Korean National Environmental Health Survey (KoNEHS), 2012–2014: Yangwon Kang, Juha Park, Kanwoo Youn; Ann Occup Environ Med 2019;31:e23. Published online September 9, 2019; DOI: https://doi.org/10.35371/aoem.2019.31.e23

Background

Phthalate is a chemical that is commonly used as a plasticizer in processing plastic products and as a solvent in personal care products. Although previous experimental studies have reported that phthalate metabolites are associated with obesity, epidemiological study results have been inconsistent and insufficient. The objective of the present study was to investigate the association between urinary phthalate metabolites and obesity in adult Korean population.

Methods

The present study selected 4,752 Korean adults aged 19 years or older from the 2012–2014 Korean National Environmental Health Survey data. The concentrations of urinary di-(2-ethyl-5-carboxypentyl) phthalate (DEHP) metabolites—i.e., mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) and mono-(2-ethyl-5-carboxypentyl) phthalate—mono-benzyl phthalate (MBzP) and mono-n-butyl phthalate (MnBP) were adjusted using the urinary creatinine. We used logistic regression analysis to investigate the association between urinary phthalate metabolite concentration and body mass index (BMI) with respect to sex and age.

Results

Among women, urinary MEHHP and DEHP concentrations were found to have statistically significantly positive associations with obesity (Q4 versus Q1; odds ratio (OR): 1.72, 95% confidence interval (CI): 1.19–2.49 for MEHHP and OR: 1.52, 95% CI: 1.04–2.21 for DEHP). Among men, urinary MnBP concentration was found to have statistically significantly negative association with obesity (Q4 versus Q1; OR: 0.71, 95% CI: 0.50–0.99). In the analysis stratified by sex and age, women aged ≥ 50 years showed statistically significantly positive associations between the concentrations of urinary DEHP metabolites, DEHP, MBzP, and obesity (Q4 versus Q1; OR: 1.94, 95% CI: 1.28–2.94 for MEHHP, OR: 1.88, 95% CI: 1.21–2.94 for MEOHP, OR: 2.04, 95% CI: 1.31–3.18 for DEHP, and Q3 versus Q1; OR: 1.45, 95% CI: 1.02–2.05 for MBzP). Meanwhile, men aged ≥ 50 years showed no significant associations between urinary phthalate concentrations and obesity.

Conclusions

In the present study, we found differences in the associations between urinary phthalate metabolites and BMI according to sex and age. However, because the present study was cross-sectional in nature, additional support through prospective studies is needed to estimate the causal associations.

Citations

Citations to this article as recorded by

Gender-specific abdominal fat distribution and insulin resistance associated with organophosphate esters and phthalate metabolites exposure
Xiaoliu Shi, Wanyue Wang, Jiafan Feng, Xiaochun Ma, Mengting Xu, Cui Wang
Environmental Pollution.2024; 349: 123959. CrossRef
Phthalates’ exposure leads to an increasing concern on cardiovascular health
Melissa Mariana, Miguel Castelo-Branco, Amadeu M. Soares, Elisa Cairrao
Journal of Hazardous Materials.2023; 457: 131680. CrossRef
Association between phthalate exposure and obesity risk: A meta-analysis of observational studies
Qian Wu, Gang Li, Chen-Yang Zhao, Xiao-Lin Na, Yun-Bo Zhang
Environmental Toxicology and Pharmacology.2023; 102: 104240. CrossRef
Risk of Nonalcoholic Fatty Liver Disease Is Associated with Urinary Phthalate Metabolites Levels in Adults with Subclinical Hypothyroidism: Korean National Environmental Health Survey (KoNEHS) 2012–2014
Eun-Jung Yang, Byung-Sun Choi, Yun-Jung Yang
International Journal of Environmental Research and Public Health.2022; 19(6): 3267. 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 of Exposure to Phthalate Metabolites With Sex Hormones, Obesity, and Metabolic Syndrome in US Women
Pallavi Dubey, Sireesha Y. Reddy, Vishwajeet Singh, Ted Shi, Mallorie Coltharp, Deborah Clegg, Alok K. Dwivedi
JAMA Network Open.2022; 5(9): e2233088. CrossRef
Mixtures modeling identifies heavy metals and pyrethroid insecticide metabolites associated with obesity
Hai Duc Nguyen, Hojin Oh, Won Hee Jo, Ngoc Hong Minh Hoang, Min-Sun Kim
Environmental Science and Pollution Research.2022; 29(14): 20379. CrossRef
Life-Time Environmental Chemical Exposure and Obesity: Review of Epidemiological Studies Using Human Biomonitoring Methods
Nayan Chandra Mohanto, Yuki Ito, Sayaka Kato, Michihiro Kamijima
Frontiers in Endocrinology.2021;[Epub] CrossRef
Relationships between di-(2-ethylhexyl) phthalate exposure and lipid metabolism in adolescents: Human data and experimental rat model analyses
Shuang Ding, Wen Qi, Qi Xu, Tianyang Zhao, Xu Li, Jianli Yin, Ruxuan Zhang, Chuanyi Huo, Liting Zhou, Lin Ye
Environmental Pollution.2021; 286: 117570. CrossRef
Association between Blood Mercury Levels and Non-Alcoholic Fatty Liver Disease in Non-Obese Populations: The Korean National Environmental Health Survey (KoNEHS) 2012–2014
Yun-Jung Yang, Eun-Jung Yang, Kyongjin Park, Subin Oh, Taehyen Kim, Yeon-Pyo Hong
International Journal of Environmental Research and Public Health.2021; 18(12): 6412. CrossRef
The association between urinary bisphenol A levels and nonalcoholic fatty liver disease in Korean adults: Korean National Environmental Health Survey (KoNEHS) 2015-2017
Sang Joon An, Eun-Jung Yang, Subin Oh, Kyong Jin Park, Taehyen Kim, Yeon-pyo Hong, Yun-Jung Yang
Environmental Health and Preventive Medicine.2021;[Epub] CrossRef
Urinary Phthalate Levels Associated with the Risk of Nonalcoholic Fatty Liver Disease in Adults: The Korean National Environmental Health Survey (KoNEHS) 2012–2014
Yun-Jung Yang, Taehyen Kim, Yeon-Pyo Hong
International Journal of Environmental Research and Public Health.2021; 18(11): 6035. CrossRef
Benzyl Butyl Phthalate Induced Early lncRNA H19 Regulation in C3H10T1/2 Stem Cell Line
Jian Zhang, Mahua Choudhury
Chemical Research in Toxicology.2021; 34(1): 54. CrossRef
Relationship between urinary phthalate metabolites and diabetes: Korean National Environmental Health Survey (KoNEHS) cycle 3 (2015–2017)
Do Jin Nam, Yeji Kim, Eun Hye Yang, Hyo Choon Lee, Jae-Hong Ryoo
Annals of Occupational and Environmental Medicine.2020;[Epub] CrossRef
Urinary bisphenol A, phthalate metabolites, and obesity: do gender and menopausal status matter?
Jung-eun Lim, BongKyoo Choi, Sun Ha Jee
Environmental Science and Pollution Research.2020; 27(27): 34300. CrossRef
Phthalate metabolites and biomarkers of oxidative stress in the follicular fluid of women undergoing in vitro fertilization
Xiao-Qiong Yuan, Yao-Yao Du, Chong Liu, Na Guo, Xue-Mei Teng, Xiang Hua, Yang-Cheng Yao, Yan-Ling Deng, Qiang Zeng, Tao-Ran Deng, Yu-Feng Li
Science of The Total Environment.2020; 738: 139834. CrossRef

59 View
0 Download
14 Web of Science
16 Crossref

Research Article

Assessment of Arsenic Exposure by Measurement of Urinary Speciated Inorganic Arsenic Metabolites in Workers in a Semiconductor Manufacturing Plant: Kiwhan Byun, Yong Lim Won, Yang In Hwang, Dong-Hee Koh, Hosub Im, Eun-A Kim; Ann Occup Environ Med 2013;25:21-21. Published online October 11, 2013; DOI: https://doi.org/10.1186/2052-4374-25-21

Abstract PDF PubReader ePub

Objectives

The purpose of this study was to evaluate the exposure to arsenic in preventive maintenance (PM) engineers in a semiconductor industry by detecting speciated inorganic arsenic metabolites in the urine.

Methods

The exposed group included 8 PM engineers from the clean process area and 13 PM engineers from the ion implantation process area; the non-exposed group consisted of 14 office workers from another company who were not occupationally exposed to arsenic. A spot urine specimen was collected from each participant for the detection and measurement of speciated inorganic arsenic metabolites. Metabolites were separated by high performance liquid chromatography-inductively coupled plasma spectrometry-mass spectrometry.

Results

Urinary arsenic metabolite concentrations were 1.73 g/L, 0.76 g/L, 3.45 g/L, 43.65 g/L, and 51.32 g/L for trivalent arsenic (As³⁺), pentavalent arsenic (As⁵⁺), monomethylarsonic acid (MMA), dimethylarsinic acid (DMA), and total inorganic arsenic metabolites (As³⁺ + As⁵⁺ + MMA + DMA), respectively, in clean process PM engineers. In ion implantation process PM engineers, the concentrations were 1.74 g/L, 0.39 g/L, 3.08 g/L, 23.17 g/L, 28.92 g/L for As³⁺, As⁵⁺, MMA, DMA, and total inorganic arsenic metabolites, respectively. Levels of urinary As³⁺, As⁵⁺, MMA, and total inorganic arsenic metabolites in clean process PM engineers were significantly higher than that in the non-exposed group. Urinary As³⁺ and As⁵⁺ levels in ion implantation process PM engineers were significantly higher than that in non-exposed group.

Conclusion

Levels of urinary arsenic metabolites in PM engineers from the clean process and ion implantation process areas were higher than that in office workers. For a complete assessment of arsenic exposure in the semiconductor industry, further studies are needed.

Citations

Citations to this article as recorded by

Examining carcinogenic and noncarcinogenic health risks related to arsenic exposure in Ethiopia: A longitudinal study
Solomon Demissie, Seblework Mekonen, Tadesse Awoke, Birhanu Teshome, Bezatu Mengistie
Toxicology Reports.2024; 12: 100. CrossRef
Arsenic Exposure and Methylation Efficiency in Relation to Oxidative Stress in Semiconductor Workers
Chih-Hong Pan, Ching-Yu Lin, Ching-Huang Lai, Hueiwang Anna Jeng
Atmosphere.2020; 11(5): 464. CrossRef
Arsenic burden in e-waste recycling workers – A cross-sectional study at the Agbogbloshie e-waste recycling site, Ghana
Jennie Yang, Jens Bertram, Thomas Schettgen, Peter Heitland, Damian Fischer, Fatima Seidu, Michael Felten, Thomas Kraus, Julius N. Fobil, Andrea Kaifie
Chemosphere.2020; 261: 127712. CrossRef
Early Environmental Exposures and Contaminants: a Design Framework for Biospecimen Collection and Analysis for a Prospective National Birth Cohort
Julie M. Croff, Ryan Bogdan, Sara B. Johnson, Ludmila N. Bakhireva
Adversity and Resilience Science.2020; 1(4): 269. CrossRef
Occupational Characteristics of Semiconductor Workers with Cancer and Rare Diseases Registered with a Workers' Compensation Program in Korea
Dong-Uk Park, Sangjun Choi, Seunghee Lee, Dong-Hee Koh, Hyoung-Ryoul Kim, Kyong-Hui Lee, Jihoon Park
Safety and Health at Work.2019; 10(3): 347. CrossRef
Exposure assessment of process by-product nanoparticles released during the preventive maintenance of semiconductor fabrication facilities
Bo-Xi Liao, Neng-Chun Tseng, Ziyi Li, Yingshu Liu, Jen-Kun Chen, Chuen-Jinn Tsai
Journal of Nanoparticle Research.2018;[Epub] CrossRef
Occupational Exposure to Arsenic and Cadmium in Thin-Film Solar Cell Production

The Annals of Occupational Hygiene.2015;[Epub] CrossRef
Considerations in deriving quantitative cancer criteria for inorganic arsenic exposure via inhalation
Ari S. Lewis, Leslie A. Beyer, Ke Zu
Environment International.2015; 74: 258. CrossRef
Reproductive Hazards Still Persist in the Microelectronics Industry: Increased Risk of Spontaneous Abortion and Menstrual Aberration among Female Workers in the Microelectronics Industry in South Korea
Inah Kim, Myoung-Hee Kim, Sinye Lim, Roger C. Young
PLOS ONE.2015; 10(5): e0123679. CrossRef
The separation of arsenic metabolites in urine by high performance liquid chromatographyinductively coupled plasma-mass spectrometry
Jin-Yong Chung, Hyoun-Ju Lim, Young-Jin Kim, Ki-Hoon Song, Byoung-Gwon Kim, Young-Seoub Hong
Environmental Health and Toxicology.2014; 29: e2014018. CrossRef

66 View
0 Download
12 Web of Science
10 Crossref

First
Prev
Page of 1
Next
Last

Search