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Featured researches published by Naroo Lee.


Occupational and Environmental Medicine | 1999

Evaluation of exposure to ethylene glycol monoethyl ether acetates and their possible haematological effects on shipyard painters

Yangho Kim; Naroo Lee; Tadashi Sakai; Kyoo-Sang Kim; Jeong Sun Yang; Seung-Hyun Park; Choong Ryeol Lee; Hae-Kwan Cheong; Young-Hahn Moon

OBJECTIVES: To evaluate exposure to mixed solvents containing ethylene glycol monoethyl ether acetate (EGEEA) in shipyard painters, to determine if EGEEA is toxic to the bone marrow. METHODS: An industrial hygiene survey was performed to identify exposure to EGEEA of two groups of shipyard painters, a low exposure group (n = 30) and a high exposure group (n = 27). Urinary ethoxyacetic acid and methyl hippuric acid as well as haemoglobin, packed cell volume, red cell indices, total and differential white blood cell counts (WBCs), and platelet count for the shipyard painters and the control subjects were measured. RESULTS: The mean (range) exposure concentration (ppm) to EGEEA in the high and low exposure groups were 3.03 (not detectable to 18.27), 1.76 (not detectable to 8.12), respectively. The concentrations of methyl hippuric acid and ethoxyacetic acid in the high exposure group were significantly higher than those in the control group. The mean WBCs in the high exposure group were significantly lower than in the control group, and a significant proportion, six (11%) of the 57 painters, were leucopenic; none of the controls were affected. CONCLUSION: The high rate of possible haematological effects among shipyard painters and a hygienic evaluation of their working environment in the present study suggests that EGEEA might be toxic to bone marrow.


Safety and health at work | 2010

Characteristics of Occupational Exposure to Benzene during Turnaround in the Petrochemical Industries

Eun-Kyo Chung; Jung-Ah Shin; Byung-Kyu Lee; Jiwoon Kwon; Naroo Lee; Kwang-Jae Chung; Jong-Han Lee; In-Seop Lee; Seong-Kyu Kang; Jae-Kil Jang

Objectives The level of benzene exposure in the petrochemical industry during regular operation has been well established, but not in turnaround (TA), where high exposure may occur. In this study, the characteristics of occupational exposure to benzene during TA in the petrochemical companies were investigated in order to determine the best management strategies and improve the working environment. This was accomplished by evaluating the exposure level for the workers working in environments where benzene was being produced or used as an ingredient during the unit process. Methods From 2003 to 2008, a total of 705 workers in three petrochemical companies in Korea were studied. Long- and short-term (< 1 hr) samples were taken during TAs. TA was classified into three stages: shut-down, maintenance and start-up. All works were classified into 12 occupation categories. Results The long-term geometric mean (GM) benzene exposure level was 0.025 (5.82) ppm (0.005-42.120 ppm) and the short-term exposure concentration during TA was 0.020 (17.42) ppm (0.005-61.855 ppm). The proportions of TA samples exceeding the time-weighted average, occupational exposure level (TWA-OEL in Korea, 1 ppm) and the short-term exposure limit (STEL-OEL, 5 ppm) were 4.1% (20 samples of 488) and 6.0% (13 samples of 217), respectively. The results for the benzene exposure levels and the rates of exceeding the OEL were both statistically significant (p < 0.05). Among the 12 job categories of petrochemical workers, mechanical engineers, plumbers, welders, fieldman and scaffolding workers exhibited long-term samples that exceeded the OEL of benzene, and the rate of exceeding the OEL was statistically significant for the first two occupations (p < 0.05). Conclusion These findings suggest that the periodic work environment must be assessed during non-routine works such as TA.


Safety and health at work | 2012

Outbreak of Sudden Cardiac Deaths in a Tire Manufacturing Facility: Can It Be Caused by Nanoparticles?

Eun-A Kim; Jungsun Park; Kun-Hyung Kim; Naroo Lee; Dae-Seong Kim; Seong-Kyu Kang

Objectives The purpose of this study was to review clinical characteristics and working environments of sudden cardiac death (SCD) cases associated with a tire manufacturer in Korea, and review possible occupational risk factors for cardiovascular disease including nanoparticles (ultrafine particles, UFPs). Methods We reviewed (i) the clinical course of SCD cases and (ii) occupational and non-occupational risk factors including chemicals, the physical work environment, and job characteristics. Results Possible occupational factors were chemicals, UFPs of rubber fume, a hot environment, shift work, overworking, and noise exposure. The mean diameter of rubber fume (63-73 nm) was (larger than diesel exhaust [12 nm] and outdoor dust [50 nm]). The concentration of carbon disulfide, carbon monoxide and styrene were lower than the limit of detection. Five SCD cases were exposed to shift work and overworking. Most of the cases had several non-occupational factors such as hypertension, overweight and smoking. Conclusion The diameter of rubber fume was larger than outdoor and the diesel exhaust, the most well known particulate having a causal relationship with cardiovascular disease. The possibility of a causal relation between UFPs of rubber fume and SCD was not supported in this study. However, it is necessary to continue studying the relationship between large sized UFPs and SCD.


Safety and health at work | 2016

Comparison of Real Time Nanoparticle Monitoring Instruments in the Workplaces

Seunghon Ham; Naroo Lee; Ig-chun Eom; Byoungcheun Lee; Perng-Jy Tsai; Kiyoung Lee; Chungsik Yoon

Background Relationships among portable scanning mobility particle sizer (P-SMPS), condensation particle counter (CPC), and surface area monitor (SAM), which are different metric measurement devices, were investigated, and two widely used research grade (RG)-SMPSs were compared to harmonize the measurement protocols. Methods Pearson correlation analysis was performed to compare the relation between P-SMPS, CPC, and SAM and two common RG-SMPS. Results For laboratory and engineered nanoparticle (ENP) workplaces, correlation among devices showed good relationships. Correlation among devices was fair in unintended nanoparticle (UNP)-emitting workplaces. This is partly explained by the fact that shape of particles was not spherical, although calibration of sampling instruments was performed using spherical particles and the concentration was very high at the UNP workplaces to allow them to aggregate more easily. Chain-like particles were found by scanning electron microscope in UNP workplaces. The CPC or SAM could be used as an alternative instrument instead of SMPS at the ENP-handling workplaces. At the UNP workplaces, where concentration is high, real-time instruments should be used with caution. There are significant differences between the two SMPSs tested. TSI SMPS showed about 20% higher concentration than the Grimm SMPS in all workplaces. Conclusions For nanoparticle measurement, CPC and SAM might be useful to find source of emission at laboratory and ENP workplaces instead of P-SMPS in the first stage. An SMPS is required to measure with high accuracy. Caution is necessary when comparing data from different nanoparticle measurement devices and RG-SMPSs.


Journal of Applied Statistics | 2017

Comparison of data analysis procedures for real-time nanoparticle sampling data using classical regression and ARIMA models

Seunghon Ham; Sunju Kim; Naroo Lee; Pilje Kim; Ig-chun Eom; Byoungcheun Lee; Perng-Jy Tsai; Kiyoung Lee; Chungsik Yoon

ABSTRACT Real-time monitoring is necessary for nanoparticle exposure assessment to characterize the exposure profile, but the data produced are autocorrelated. This study was conducted to compare three statistical methods used to analyze data, which constitute autocorrelated time series, and to investigate the effect of averaging time on the reduction of the autocorrelation using field data. First-order autoregressive (AR(1)) and autoregressive-integrated moving average (ARIMA) models are alternative methods that remove autocorrelation. The classical regression method was compared with AR(1) and ARIMA. Three data sets were used. Scanning mobility particle sizer data were used. We compared the results of regression, AR(1), and ARIMA with averaging times of 1, 5, and 10 min. AR(1) and ARIMA models had similar capacities to adjust autocorrelation of real-time data. Because of the non-stationary of real-time monitoring data, the ARIMA was more appropriate. When using the AR(1), transformation into stationary data was necessary. There was no difference with a longer averaging time. This study suggests that the ARIMA model could be used to process real-time monitoring data especially for non-stationary data, and averaging time setting is flexible depending on the data interval required to capture the effects of processes for occupational and environmental nano measurements.


Occupational and Environmental Medicine | 2016

O48-4 Exposure assessment at the seven cabon nanotube (CNT) manufacturing workplaces

Seunghon Ham; Songha Kim; Jinho Lee; Naroo Lee; Chungsik Yoon

Introduction Exposed to carbon nanotubes (CNT) may cause potential adverse health effect. Worker may expose to CNT during the manufacturing processes. But there is limited number of studies about CNT exposure at workplaces. The purpose of this study was to conduct exposure assessment of CNT at the CNT manufacturers in lab-scale and large-scale. Methods Seven sites were investigated at five lab-scale and two large-scale workplaces. Measurement was conducted by tasks. Area and personal samples were collected for mass concentration of EC (Elemental Carbon), according to National Institute for Occupational Safety and Health (NIOSH) Method 5040. Real time monitoring such as Scanning Mobility Particle Sizer etc. Transmission/Scanning electron microscopy (TEM/SEM) samples were collected and analysed to CNT agglomerate and shapes. Results The three of seven sites exceeded the NIOSH recommended exposure limit (REL) (1 µg/m³). Concentration of EC ranged from 1.21 to 14.24 µg/m³ at large-scale manufacturing and 0.3 to 4.49 µg/m³ at lab-scale handling. Preventive maintenance task showed the highest concentrations and packaging process also higher than other tasks. Relatively high exposure was found during preventive maintenance tasks and packaging by real time monitor. From the electron microscope analysis, we found that the presence of airborne CNT during weighing, sonication, and packing tasks. Conclusions The number of tasks were exceeded NIOSH REL. At the large scale manufacturing site, the concentration of EC was higher than the NIOSH REL than lab scale site and control of working environment during CNT manufacturing process is required. Therefore, protection of worker should be considered and further exposure assessment study of CNT should be conducted. Acknowledgement This work was supported by Korea Occupational Safety and Health Agency (2016-OSHRI-1044).


Industrial Health | 2009

First Korean Working Conditions Survey: a comparison between South Korea and EU countries.

Jungsun Park; Naroo Lee


Science of The Total Environment | 2002

Evaluation of lead exposure in workers at secondary lead smelters in South Korea: with focus on activity of erythrocyte pyrimidine 5'-nucleotidase (P5N)

Yangho Kim; Hun Lee; Cheong Ryeol Lee; Dong Uk Park; Jeong Sun Yang; In Jeong Park; Kwang Yong Lee; Mi-Young Lee; Tae-Kyun Kim; Nam-Seok Sohn; Young Sook Cho; Naroo Lee; Ho Keun Chung


Environmental Health | 2014

Exposure characteristics of familial cases of lung injury associated with the use of humidifier disinfectants

Donguk Park; Jong-Han Leem; Kyoung-Mu Lee; Heung-Kyu Lim; Yeyong Choi; Jong-Ju Ahn; Sinye Lim; Jeongim Park; Kyungho Choi; Naroo Lee; Hyejung Jung; Jongsik Ha; Domyung Paek


Safety and health at work | 2012

Work environments and exposure to hazardous substances in korean tire manufacturing.

Naroo Lee; Byung-kyu Lee; Sijeong Jeong; Gwang Yong Yi; Jung-Ah Shin

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Chungsik Yoon

Seoul National University

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Seunghon Ham

Seoul National University

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Ig-chun Eom

National Institute of Environmental Research

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Kiyoung Lee

Seoul National University

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Perng-Jy Tsai

National Cheng Kung University

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Byoungcheun Lee

National Institute of Environmental Research

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Jeong Sun Yang

Korea Occupational Safety and Health Agency

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Jinho Lee

Seoul National University

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Jung-Ah Shin

Korea Occupational Safety and Health Agency

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Jungsun Park

Korea Occupational Safety and Health Agency

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