- Reconstruction of Radiation Dose Received by Diagnostic Radiologic Technologists in Korea
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Yeongchull Choi, Jaeyoung Kim, Jung Jeung Lee, Jae Kwan Jun, Won Jin Lee
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J Prev Med Public Health. 2016;49(5):288-300. Published online August 23, 2016
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DOI: https://doi.org/10.3961/jpmph.16.064
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- Objectives
Diagnostic medical radiation workers in Korea have been officially monitored for their occupational radiation doses since 1996. The purpose of this study was to design models for reconstructing unknown individual radiation doses to which diagnostic radiation technologists were exposed before 1996.
Methods Radiation dose reconstruction models were developed by using cross-sectional survey data and the personal badge doses of 8167 radiologic technologists. The models included calendar year and age as predictors, and the participants were grouped into six categories according to their sex and facility type. The annual doses between 1971 and 1995 for those who were employed before 1996 were estimated using these models.
Results The calendar year and age were inversely related to the estimated radiation doses in the models of all six groups. The annual median estimated doses decreased from 9.45 mSv in 1971 to 1.26 mSv in 1995, and the associated dose variation also decreased with time. The estimated median badge doses from 1996 (1.22 mSv) to 2011 (0.30 mSv) were similar to the measured doses (1.68 mSv to 0.21 mSv) for the same years. Similar results were observed for all six groups.
Conclusions The reconstruction models developed in this study may be useful for estimating historical occupational radiation doses received by medical radiologic technologists in Korea.
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- Trends in Occupational Radiation Doses for U.S. Radiologic Technologists Performing General Radiologic and Nuclear Medicine Procedures, 1980–2015
Daphnée Villoing, David Borrego, Dale L. Preston, Bruce H. Alexander, André Rose, Mark Salasky, Martha S. Linet, Choonsik Lee, Cari M. Kitahara Radiology.2021; 300(3): 605. CrossRef - Estimation of the historical radiation dose of Korean radiation workers, 1961–1983
Dalnim Lee, Won Jin Lee, Young Woo Jin, Jiyeong Kim, Soojin Park, Sunhoo Park, Songwon Seo Journal of Radiological Protection.2021; 41(4): 1005. CrossRef - OCCUPATIONAL EXPOSURE CHARACTERISTICS AND FACTORS ASSOCIATED WITH RADIATION DOSES AMONG KOREAN RADIATION WORKERS
Jiyeong Kim, Songwon Seo, Dal Nim Lee, Soojin Park, Ki-Jung Im, Sunhoo Park, Young Woo Jin Radiation Protection Dosimetry.2020; 189(1): 106. CrossRef - Thyroid cancer risks among medical radiation workers in South Korea, 1996–2015
Won Jin Lee, Dale L. Preston, Eun Shil Cha, Seulki Ko, Hyeyeun Lim Environmental Health.2019;[Epub] CrossRef - ESTIMATION OF ORGAN DOSES AMONG DIAGNOSTIC MEDICAL RADIATION WORKERS IN SOUTH KOREA
Yeongchull Choi, Eun Shil Cha, Ye Jin Bang, Seulki Ko, Mina Ha, Choonsik Lee, Won Jin Lee Radiation Protection Dosimetry.2018; 179(2): 142. CrossRef - Projected lifetime cancer risks from occupational radiation exposure among diagnostic medical radiation workers in South Korea
Won Jin Lee, Yeongchull Choi, Seulki Ko, Eun Shil Cha, Jaeyoung Kim, Young Min Kim, Kyoung Ae Kong, Songwon Seo, Ye Jin Bang, Yae Won Ha BMC Cancer.2018;[Epub] CrossRef - Assessing the health effects associated with occupational radiation exposure in Korean radiation workers: protocol for a prospective cohort study
Songwon Seo, Wan Young Lim, Dal Nim Lee, Jung Un Kim, Eun Shil Cha, Ye Jin Bang, Won Jin Lee, Sunhoo Park, Young Woo Jin BMJ Open.2018; 8(3): e017359. CrossRef - Occupational radiation exposure and its health effects on interventional medical workers: study protocol for a prospective cohort study
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- Psychological Distress and Occupational Injury: Findings from the National Health Interview Survey 2000-2003.
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Jaeyoung Kim
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J Prev Med Public Health. 2008;41(3):200-207.
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DOI: https://doi.org/10.3961/jpmph.2008.41.3.200
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4,990
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- OBJECTIVES
This study examined whether serious psychological distress (SPD) is associated with occupational injury among US employees. METHODS: The employed population aged 18-64 years was examined (n=101,855) using data from the National Health Interview Survey (NHIS) 2000-2003. SPD was measured using the Kessler 6-item Psychological Distress Scale (K-6), a screening scale designed to identify persons with serious mental illness. The predicted marginal prevalence of psychological distress and occupational injury with the adjusted odds ratio were estimated using multiple logistic regression analyses. RESULTS: The age-adjusted 3-month prevalence of occupational injury was 0.80+/-0.12% in workers with SPD, which was 37% greater than in workers without SPD (0.58+/-0.03%). The odds of occupational injury in workers with SPD were higher compared to workers without SPD (OR=1.34, 95% CI=0.93-1.92), after controlling for sex, age, race, education, occupation, and activity limitation by at least one medical condition. Male, service and blue collar occupation, and activity limiation by co-morbidity showed significantly higher odds of occupational injury for workers with SPD. CONCLUSIONS: The findings suggest that SPD accounts for an increased likelihood of occupational injury among US employees. A further longitudinal study is needed to differentiate the mechanism or causal pathways linking individual injury risk at the workplace, SPD, and socioeconomic factors.
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- Socioeconomic Disparities in Breast Cancer Screening among US Women: Trends from 2000 to 2005.
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Jaeyoung Kim, Soong Nang Jang
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J Prev Med Public Health. 2008;41(3):186-194.
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DOI: https://doi.org/10.3961/jpmph.2008.41.3.186
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This study describes trends in the socioeconomic disparities in breast cancer screening among US women aged 40 or over, from 2000 to 2005. We assessed 1) the disparities in each socioeconomic dimension; 2) the changes in screening mammography rates over time according to income, education, and race; and 3) the sizes and trends of the disparities over time. METHODS: Using data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2000 to 2005, we calculated the age-adjusted screening rate according to relative household income, education level, health insurance, and race. Odds ratios and the relative inequality index (RII) were also calculated, controlling for age. RESULTS: Women in their 40s and those with lower relative incomes were less likely to undergo screening mammography. The disparity based on relative income was greater than that based on education or race (the RII among low-income women across the survey years was 3.00 to 3.48). The overall participation rate and absolute differences among socioeconomic groups changed little or decreased slightly across the survey years. However, the degree of each socioeconomic disparity and the relative inequality among socioeconomic positions remained quite consistent. CONCLUSIONS: These findings suggest that the trend of the disparity in breast cancer screening varied by socioeconomic dimension. ontinued differences in breast cancer screening rates related to income level should be considered in future efforts to decrease the disparities in breast cancer among socioeconomic groups. More focused interventions, as well as the monitoring of trends in cancer screening participation by income and education, are needed in different social settings.
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