- Assessment of Di (2-ethylhexyl) Phthalate Exposure by Urinary Metabolites as a Function of Sampling Time.
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Moon Seo Park, Yun Jung Yang, Yeon Pyo Hong, Sang Yon Kim, Yong Pil Lee
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J Prev Med Public Health. 2010;43(4):301-308.
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DOI: https://doi.org/10.3961/jpmph.2010.43.4.301
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5,502
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Abstract
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- OBJECTIVES
In most DEHP exposure assessment studies, single spot urine sample was used. It could not compare the exposure level among studies. Therefore, we are going to represent the necessity of selection of proper sampling time of spot urine for assessing the environmental DEHP exposure, and the association urinary DEHP metabolites with steroid hormones. METHODS: We collected urine and plasma from 25 men. The urine sampling times were at the end of the shift (post-shift) and the next morning before the beginning of the shift (pre-shift). Three metabolites of DEHP {mono(2-ethylhexyl) phthalate [MEHP], mono-(2-ethyl-5-hydroxyhexyl)phthalate [MEHHP], and mono(2-ethyl-5-oxohexyl)phthalate [MEOHP]} in urine were analyzed by HPLC/MS/MS. Plasma luteinzing hormone, follicle stimulating hormone, testosterone, and 17beta-estradiol were measured at pre-shift using a ELISA kit. A log-transformed creatinine-adjusted urinary MEHP, MEHHP, and MEOHP concentration were compared between the post- and pre-shift. The Pearson's correlation was calculated to assess the relationships between log-transformed urinary MEHP concentrations in pre-shift urine and hormone levels. RESULTS: The three urinary metabolite concentrations at post-shift were significantly higher than the concentrations in the pre-shift (p<0.0001). The plasma hormones were not significantly correlated with log-transformed creatinine - adjusted DEHP metabolites. CONCLUSIONS: To assess the environmental DEHP exposure, it is necessary to select the urine sampling time according to the study object. There were no correlation between the concentration of urinary DEHP metabolites and serum hormone levels.
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Summary
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Citations
Citations to this article as recorded by
- A Study of the Relationship between Phthalate Exposure and the Occurrence of Adult Asthma in Taiwan
Tsai-Hui Duh, Chih-Jen Yang, Chien-Hung Lee, Ying-Chin Ko Molecules.2023; 28(13): 5230. CrossRef - Effect of the phthalates exposure on sex steroid hormones in the US population
Yuan-duo Zhu, Xu Han, Xin-qi Wang, Tan-xi Ge, Hang Liu, Lin Fan, Li Li, Li-qin Su, Xian-liang Wang Ecotoxicology and Environmental Safety.2022; 231: 113203. CrossRef - The Impairment of Thyroid Hormones Homeostasis after Short-Term
Exposure to Di(2-ethylhexyl)phthalate in Adolescent Male Rats
Sang-Yon Kim, Yeon-Pyo Hong, Yun-Jung Yang Development & Reproduction.2021; 25(4): 293. CrossRef - Biomonitoring of occupational exposure to phthalates: A systematic review
Nadine Fréry, Tiina Santonen, Simo P. Porras, Aleksandra Fucic, Veruscka Leso, Radia Bousoumah, Radu Corneliu Duca, Mounia El Yamani, Marike Kolossa-Gehring, Sophie Ndaw, Susana Viegas, Ivo Iavicoli International Journal of Hygiene and Environmental Health.2020; 229: 113548. CrossRef - Phthalate exposure and male reproductive outcomes: A systematic review of the human epidemiological evidence
Elizabeth G. Radke, Joseph M. Braun, John D. Meeker, Glinda S. Cooper Environment International.2018; 121: 764. CrossRef - Impact of Di-2-Ethylhexyl Phthalate Metabolites on Male Reproductive Function: a Systematic Review of Human Evidence
Birgit Bjerre Høyer, Virissa Lenters, Aleksander Giwercman, Bo A.G. Jönsson, Gunnar Toft, Karin S. Hougaard, Jens Peter E. Bonde, Ina Olmer Specht Current Environmental Health Reports.2018; 5(1): 20. CrossRef - Feminization of the fat distribution pattern of children and adolescents in a recent German population
Christiane Scheffler, Melanie Dammhahn American Journal of Human Biology.2017;[Epub] CrossRef - Serum Phthalate Levels and Time to Pregnancy in Couples from Greenland, Poland and Ukraine
Ina Olmer Specht, Jens Peter Bonde, Gunnar Toft, Christian H. Lindh, Bo A. G. Jönsson, Kristian T. Jørgensen, Jodi Pawluski PLOS ONE.2015; 10(3): e0120070. CrossRef - Associations between serum phthalates and biomarkers of reproductive function in 589 adult men
Ina Olmer Specht, Gunnar Toft, Karin S. Hougaard, Christian H. Lindh, Virissa Lenters, Bo A.G. Jönsson, Dick Heederik, Aleksander Giwercman, Jens Peter E. Bonde Environment International.2014; 66: 146. CrossRef - Di(2‐ethylhexyl) phthalate metabolites as markers for blood transfusion in doping control: Intra‐individual variability of urinary concentrations
E. Solymos, S. Guddat, H. Geyer, A. Thomas, M. Thevis, W. Schänzer Drug Testing and Analysis.2011; 3(11-12): 892. CrossRef - Rapid determination of urinary di(2-ethylhexyl) phthalate metabolites based on liquid chromatography/tandem mass spectrometry as a marker for blood transfusion in sports drug testing
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- Determination of Appropriate Sampling Time for Job Stress Assessment: the Salivary Chromogranin A and Cortisol in Adult Females.
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Ran Hi Hong, Yun Jung Yang, Sang Yon Kim, Won Young Lee, Yeon Pyo Hong
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J Prev Med Public Health. 2009;42(4):231-236.
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DOI: https://doi.org/10.3961/jpmph.2009.42.4.231
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5,844
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170
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14
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- OBJECTIVES
This study was conducted to determine the appropriate sampling time of the salivary stress markers, chromogranin A (CgA) and cortisol as objective indices of job stress assessment in adult females. METHODS: The subjects were 20~39-year-old women (13 office workers, 11 sales-service workers, and 11 college students) who were eligible for the study and free of acute and chronic medical conditions. Salivary CgA and cortisol levels were determined by enzyme-linked immunosorbent assay (ELISA). Saliva samples were collected (2ml each) at 7:00, 8:00, 10:30, 12:00, 17:30, and 22:30 on a typical day. Salivary CgA and cortisol levels, according to sampling time, were compared among the three groups using general linear model. The full version of the Korean Occupational Stress Scale (KOSS), which includes socioeconomic characteristics, health behavior, work-related characteristics, and BMI, was used to access the subjects' job stress. Multiple regression analysis of the job stressors identified by the KOSS was performed on salivary CgA and cortisol levels. RESULTS: The salivary CgA level peaked at 7:00 (time of awakening), then decreased and were maintained at a low level throughout the day, and increased slightly at 17:30. The salivary cortisol level increased steeply within the 1st hour after awakening, followed by a gradual decrease by 12:00, and was then maintained at a low level throughout the day. The salivary cortisol levels of subjects who worked < or =5 days per week and graduated from the university were significantly lower at 8:00 (p=0.006). The salivary cortisol levels of non-smokers were significantly lower at 7:00 (p=0.040) and 8:00 (p=0.003) compared to smokers. There were no significant differences in salivary CgA and cortisol levels at 10:30 and 12:00 in general characteristics. The regression coefficients on salivary CgA level were significant with interpersonal conflict at 17:30 and job insecurity at 22:30. Regression coefficients on salivary cortisol level were significant with organizational system and total job stressors at 17:30. CONCLUSIONS: We suggest that the appropriate sampling times for the salivary stress markers, CgA and cortisol, are at 7:00 (time of awakening), 8:00 (1 hour after awakening), 17:30 (early evening), and 22:30 (before sleep).
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