• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.4
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• pp.534-541
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• 2015

Objectives: This study was conducted to evaluate the prevalence rate of multiple chemical sensitivity/idiopathic environmental intolerance(MCS/IEI) among workers in the Gumi industrial complex around the region of accidental release of hydrogen fluoride in 2012. Materials: We evaluated MCS/IEI using the Korean version of the Quick Environmental Exposure and Sensitivity Inventory(QEESI). A total of 535 workers at six manufacturing companies in the Gumi industrial complex were investigated using self-administered questionnaires from February to March 2015. After exclusion of incompletely answered questionnaires, 271 were analyzed. Results: The prevalence rate and proved positive rate of MCS/IEI were 5.9%(16 out of 271) and 3.7%(10 out of 271), respectively. The scores of chemical intolerance, other intolerance, symptom severity and life impact were significantly higher(p<0.05) in females than those of males. In terms of masking index scores, males showed significantly higher(p=0.003) than female. The self-reported MCS/IEI prevalence rate, 7.7%, of workers exposed to hydrogen fluoride in 2012 was higher than no-exposure group(5.6%), but not statistically significant(p=0.815). Conclusions: Although the prevalence rate of MCS/IEI symptoms of workers exposed to hydrogen fluoride gas in 2012 was not significantly higher than no-exposure group, it is necessary to conduct follow-up study on the exposure group of hydrogen fluoride.

• Journal of Korean Society for Atmospheric Environment
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• v.32 no.5
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• pp.457-468
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• 2016

Traffic-related air pollutants and particulates from diesel exhaust cause for increasing respiratory health problem. Recent epidemiologic studies have reported adverse effects of urban air pollution on various aspects of respiratory health. Bus or truck terminal workers have high probability of exposure to diesel exhaust particle than general office worker. This study was designed to evaluate the relationship between pulmonary function of people who working at the high-density area of diesel vehicles and pulmonary function of people who working at general office in Seoul. So, this study explored the effects on people with exposure to diesel traffic or exposure to diesel traffic, through the pulmonary function test (PFT). There were significant difference in Forced Vital Capacity (FVC) and Forced Expiratory Volume in 1 second ($FEV_1$) between high-exposure group and control. High-exposure to diesel particle were increased risk of reduction in pulmonary function in this study. These results provide the necessity additional research that manage people who working at the high-density area of diesel vehicles.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7613-7618
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• 2015

Childhood acute lymphoblastic leukemia (ALL) is one of the most common hematologic malignancies which accounts for one fourth of all childhood cancer cases. Exposure to environmental factors around the time of conception or pregnancy can increase the risk of ALL in the offspring. This study aimed to evaluate the influence of prenatal and postnatal exposure to high voltage power lines on the incidence of childhood ALL. It also examines the role of various factors such as environmental factors and alpha-amylase as a marker in the development of leukemia.This cross-sectional case control study was carried out on 22 cases and 100 controls who born and lived in low socioeconomic families in Tehran and were hospitalized for therapeutic purposes in different hospitals ofrom 2013-2014. With regard to the underlying risk factors; familial history and parental factors were detected as risk factors of ALL but in this age, socioeonomic and zonal matched case control study, prenatal and childhood exposure to high voltage power lines was considered as the most important environmental risk factor (p=0.006, OR=3.651, CI 95% 1.692-7.878). As the population study was from low socioeconomic state, use of mobiles, computers and microwaves was negligible. Moreover prenatal and postnatal exposure to all indoor electrically charged objects were not detected as significant environmental factors in the present study. This work defined the risk of environmental especially continuous pre and postnatal exposure to high voltage power lines and living in pollutant regions through the parents or children as well as the previously described risk factors of ALL for the first time in low socioeconomic status Iranian population.

• Journal of Environmental Health Sciences
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• v.32 no.2 s.89
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• pp.164-170
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• 2006

Ethylene oxide is a genotoxic carcinogen with widespread uses as industrial chemical intermediate and gaseous sterilant. 2-hydroxyethylated N-terminal valine in Hb is a good biomarker for biological monitoring of ethylene oxide exposure, because of its stability. For measuring the hemoglobin adduct formed by exposure of ethylene oxide, we studied the determination of (N-2-hydroxy-ethyl)valine(HEV) in hemoglobin adduct by using GC/MS. Firstly we synthesized HEV with 2-amino-ethanol and bromoisovaleric acid(BIVA) and confirmed it with GC/MS-FID. Its fragmentations were m/z 116(base ion, M+-45) and m/z 130(M+-31). For measuring HEV with higher sensitivity, we use derivatives which were PFPITH(pentafluorophenylisothiocianate) and TBDMS (tributyldimethylsilylation) by using Edman procedure. Its fragmentation were m/z 425(M+-57), m/z 383(M+-99) and m/z 172(M+-310) by using GC/MS. We did biological monitoring for mice inhalation exposure with 400 ppm ethylene oxide. The concentrations of hemoglobin adduct were $168{\pm}3.8\;and\;512{\pm}04$(nmol g-1 globin) at 0.5 hr/day 400 ppm ethylene oxide inhalation exposure group, and $631{\pm}17\;and\;2265{\pm}9.4$(nmol g-1 globin) at 1.0 hr/day 400 ppm ethylene oxide inhalation exposure for 1 and 4 weeks, respectively. We confirmed that (N-2-hydroxy-ethyl)valine(HEV) of hemoglobin was a good biomarker for biomonitoring of ethylene oxide exposure, and can measured with derivatives such as PFPITH(pentafluorophenylisothiocianate) and TBDMS(tributyldimethylsilylation) by using GC/MS.

• Annals of Occupational and Environmental Medicine
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• v.34
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• pp.6.1-6.12
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• 2022

Background: To date, little is known about the effects of factors linked to work-related fatigue on vibration-exposed workers. Thus, the purpose of this study was (1) to assess the effects of vibration exposure time per week and work-related fatigue on workers and (2) to identify factors associated with work-related fatigue caused by long-term exposure to occupational vibration. Methods: This study used data collected from the 5th Korean Working Conditions Survey. A total of 34,820 non-vibration-exposed and 10,776 vibration-exposed employees were selected from the data. The χ² and multiple logistic regression were used to determine the effect of vibration exposure time per week and the effects of factors of work-related fatigue on workers. Results: The prevalence of work-related fatigue in vibration-exposed workers (30.5%) was higher than that of non-exposed workers (15.9%). The prevalence of work-related fatigue was higher for female and workers with depression, anxiety, and shift work, and those with authority to control their work pace had statistically significantly higher odds than those who did not. The employees who had the authority to control their order of work (odds ratio [OR]: 0.88; 95% confidence interval [CI]: 0.81-0.95) and method of work (OR: 0.90; 95% CI: 0.82-0.98) had statistically significantly lower odds than those who did not. The OR of workrelated fatigue symptoms was highest among employees whose vibration exposure time per week were 30.0%-40.0% (OR: 2.36; 95% CI: 1.96-2.83). Lower OR was observed as vibration exposure time per week decreased. Conclusions: The results of the present study suggest an association between occupational vibration and work-related fatigue and longer vibration exposure time per week, causing an increased prevalence of work-related fatigue symptoms. Measures to protect workers exposed to occupational vibration from work-related fatigue must be taken.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.16 no.4
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• pp.334-345
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• 2006

The objectives of this study were to analyze and compare 24 hrs personal exposure levels of MF at microenvironments such as home, school, educational institute, internet pc game room, transportation, and other places according to time activity patterns using various metrics for children attending the primary schools located near and away from the power lines, and to characterize the major microenvironments and impact factors attributed personal exposure level. The study was carried out for 44 children attending a primary school away from the lines(school A) and 125 children attending a school away from 154 kV power lines(school B), all who aged 12 years and were 6 grade, from July 2003 to December 2003. All participants filled in a questionnaire about characteristics, residence, use of electrical appliances and others. Children wore a small satchel in which EMDEX II and Lite (Enertech, Co. Ltd) and a diary of activity list for period of registration in 20 minutes blocks. All statistical calculations were made with the SAS System, Releas 6.12. The summary of results was presented below. First, about the characteristics of subjects, there no differences between two groups. The subject almost spent about 56 % of their time at home and about 20~25 % of their time at school. Fifty percent of children spent 2 hours at private educational institutes. Second, the personal exposure measurements of children in school B was statistically higher than those of children in school A by various metrics such as arithmetic mean, geometric mean, percentile(5, 25, 50, 75, 95), maximum, rate of change metric, constant field metric. The arithmetic and geometric mean magnetic fields during the time the children were at school B were 0.98 and $0.86{\mu}T$ and were about 23 times higher than those of children were at school A. In conclusion, the significant major determinants of personal exposure level is the distance from the power line to microenvironments.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.26 no.1
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• pp.58-63
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• 2016

Objectives: One major limitation encountered in retrospective exposure assessment for epidemiological study is the lack of exposure records and information maintained by companies which if they existed would allow the estimation of past exposure to hazardous operations and agents. This study developed a job-specific questionnaire(JSQ) to estimate exposure profiles among semiconductor workers, including operation and job. Methods: This JSQ can be directly applied to workers who work or have worked in a wafer fabrication or a chip packaging and assembly facility. Results and Conclusions: We used this JSQ to obtain past exposure information from semiconductor workers via face-to-face investigation. Major contents include questions on the facilities, operations and jobs to which they have been exposed since they entered employment in the semiconductor industry. The total number of questions in the JSQ is 18. Responses to this JSQ can be used not only to estimate retrospective exposure to operations and jobs in the semiconductor industry, but also to associate with the risk of all causes of death and risk of disease, including cancer.

• Journal of Soil and Groundwater Environment
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• v.16 no.2
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• pp.12-29
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• 2011

Risk-based screening levels (RBSLs) of some pollutants for residential adults were derived with risk assessment tools developed by United States Environmental Protection Agency (USEPA), American Society for Testing and Materials (ASTM), and Korea Ministry of Environment (KMOE) and compared each other. To make the comparison simple, ingestion of soil, dermal contact with soil, outdoor inhalation of vapors, indoor inhalation of vapors, and inhalation of soil particulates were chosen as exposure pathways. The results showed that the derived RBSLs varied for every exposure pathway. For direct exposure pathways (i.e., ingestion of soil and dermal contact with soil), the derived RBSLs varied mainly due to the different default values for exposure factors and toxicity data. When identical default values for the parameters were used, the same RBSLs could be derived regardless of the assessment tools used. For inhalation of vapors and inhalation of soil particulates, however, different analysis methods for cross-media transfer rates were used and different assumptions were established for each tool, identical RBSLs could not be obtained even if the same default values for exposure factors were used. Especially for inhalation of soil particulates pathway, screening level derived using KMOE approach (most conservative) was approximately 5000~10000 times lower than the screening level derived using ASTM approach (least conservative). Our results suggest that, when deriving RBSL using a specific tool, it is a prerequisite to technically review the analysis methods for cross-media transfer rates as well as to understand how the assessment tool derives the default values for exposure factors.

• Safety and Health at Work
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• v.8 no.2
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• pp.220-225
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• 2017

Background: Benzene is a known occupational and environmental pollutant. Its urinary metabolite trans, trans-muconic acid (tt-MA) has been introduced by some environmental and occupational health regulatory associations as a biological index for the assessment of benzene exposure; however, recently, doubts have been raised about the specificity of tt-MA for low-level benzene exposures. In the present study, we investigated the association between urinary levels of tt-MA and inhalational exposure to benzene in different exposure groups. Methods: Benzene exposure was assessed by personal air sampling. Collected benzene on charcoal tube was extracted by carbon disulfide and determined by a gas chromatograph (gas chromatography with a flame ionization detector). Urinary tt-MA was extracted by a strong anion-exchange column and determined with high-performance liquid chromatography-UV. Results: Urinary levels of tt-MA in intensive benzene exposure groups (chemical workers and police officers) were significantly higher than other groups (urban and rural residents), but its levels in the last two groups with significant different exposure levels (mean = 0.081 ppm and 0.019 ppm, respectively) showed no significant difference (mean = $388{\mu}g/g$ creatinine and $282{\mu}g/g$, respectively; p < 0.05). Before work shift, urine samples of workers and police officers showed a high amount of tt-MA and its levels in rural residents' samples were not zero. Conclusion: Our results suggest that tt-MA may not be a reliable biomarker for monitoring low-level (below 0.5 ppm) benzene exposures.

• Environmental Analysis Health and Toxicology
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• v.5 no.3_4
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• pp.47-56
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• 1990

Smoking damages nonsmoker's health who have been exposed to passive smoking as well as smoker's own health. Passive smoking can cause serious health damage to particular groups, such as the old aged, children and pregnant women. The purpose of this study is to investigate the relationship between nicotine concentrations in environmental tobacco smoke (ETS) and urinary cotinine concentrations of nonsmokers exposed to ETS, and to provide basic information related to health risk assessment. The results of this study were summarized as follows: 1. When 180 cigarrette were smoked during S hours (high concentrations exposure) in 132 m$^3$chamber, mean concentrations of nicotine in ETS showed 263.52 $\mu\textrm{g}$/m$^3$${\pm}$51.93. When 45 cigarretts were smoked (low concentrations exposure), it was 69.43${\pm}$8.96 $\mu\textrm{g}$/m$^3$. 2. The urinary cotinine concentrations of each times (0, 2.5, 5, 17 and 24 hours) in nonsmokers ranged from 0.27∼12.52 ng/ml in high concentrations exposure and 0.22∼2.28 ng/ml in low concentrations exposure. Mean while the total urinary cotinine concentrations during 24 hours ranged from 11.62∼31.65 ng/ml in high concentrations exposure and 3.45∼5.64 ng/ml in low concentrations exposure. 3. The correlation equation and coefficient between cotinine concentrations in nonsmokers' urine (y) and nicotine concentrations in ETS (x) was y=0.421+0.0171x and 0:875 (p<0.01) respectively, 4. The quantity of nonsmokers' smoking exposure by passive smoking can be assumed as based on the estimation of nicotine concentrations in ETS by measuring cotinine concentrations of nonsmokers' urine.