• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.10 no.2
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• pp.124-128
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• 2005

Marine reservoir correction $({\Delta}R)$ values are measured using two species of mollusk tests collected by NFRDI in 1942 before nuclear bomb testing to convert the radiocarbon age to calendar age in Korean coastal waters more accurately. The ${\Delta}R$ values are calculated to be $-117\pm45\;^{14}C\;yr$ in the southwestern coast of Korea and $-160\pm35\;^{14}C\;yr$ in southeastern coast. These values are similar to those in Chinese coast of the Yellow Sea $(-81\pm60\~-178\pm50\;^{14}C\;yr$, indicating that regional reservoir $^{14}C$ ages of these areas are lower than mean global reservoir $^{14}C$ age. The lower ${\Delta}R$ values in these areas are presumed to be mainly caused by influence of fresh-water inflow. The ${\Delta}R$ values presented In this study enhance the accuracy in converting radiocarbon age to calendar age in Korean coastal waters.

• Korean Journal of Heritage: History & Science
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• v.43 no.3
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• pp.48-101
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• 2010

This paper estimated the calendar date of pottery with ring-rim(粘土帶土器) with the radiocarbon dating. This was based on archaeological facts with comparing line relations and radiocarbon dates of Yayoi pottery(彌生土器). As a result, I understood that pottery with circle ring-rim(圓形粘土帶土器) appeared in BC 6c, pottery with triangle ringrim(三角形粘土帶土器) appeared at the time in BC 300 . Based on the calendar date and aspect of ironware and pottery in grave, I kept in BC 4c with appearance date of ironware. And I kept in BC 5c with appearance date of the slim bronze dagger culture. Korea and Japan common chronological order were built for the first time based on radiocarbon dates, line relations of pottery with ring-rim and Yayoi pottery. This is the calendar date to date back approximately 100~300 years from the existing the calendar date. Current periodization does not match in the calendar date when I built it newly. Therefore I suggested it as follows. Early iron age is from the first~middle part BC 4c to BC 100. And the latter half of Bronze age is from BC 6c to the front appearance of ironware. Then Songguk-ri type(松菊里式) becomes staudard type of pottery in the middle stage of Bronze age.

• Journal of Preventive Medicine and Public Health
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• v.49 no.5
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• pp.288-300
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• 2016

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.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.7
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• pp.4387-4392
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• 2013

Projection of load of cancer mortality helps in quantifying the burden of cancer and is essential for planning cancer control activities. As per our knowledge, there have not been many attempts to project the cancer mortality burden at the country level in India mainly due to lack of data on cancer mortality at the national and state level. This is an attempt to understand the magnitude of cancer mortality problem for the various calendar years from 2011 to 2026 at 5-yearly intervals. Age, sex and site-wise specific cancer mortality data along with populations covered by the registries were obtained from the report of National Cancer Registry Programme published by Indian Council of Medical Research for the period 2001-2004. Pooled age sex specific cancer mortality rates were obtained by taking weighted average of these six registries with respective registry populations as weights. The pooled mortality rates were assumed to represent the country's mortality rates. Populations of the country according to age and sex exposed to the risk of cancer mortality in different calendar years were obtained from the report of Registrar General of India providing population projections for the country for the years from 2011 to 2026. Population forecasts were combined with the pooled mortality rates to estimate the projected number of cancer mortality cases by age, sex and site of cancer at various 5-yearly periods Viz. 2011, 2016, 2021 and 2026. The projections were carried out for the various cancer-leading sites as well as for 'all sites' of cancer. The results revealed that an estimated 0.44 million died due to cancer during the year 2011, while 0.51 million and 0.60 million persons are likely to die from cancer in 2016 and 2021. In the year 2011 male mortality was estimated to be 0.23 million and female mortality to be 0.20 million. The estimated cancer mortality would increase to 0.70 million by the year 2026 as a result of change in size and composition of population. In males increase will be to 0.38 millions and in females to 0.32 millions. Among women, cancer of the breast, cervical and ovary account for 34 percent of all cancer deaths. The leading sites of cancer mortality in males are lung, oesophagus, prostrate and stomach. The above results show a need for commitment for tackling cancer by reducing risk factors and strengthening the existing screening and treatment facilities.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.7
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• pp.4379-4386
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• 2013

Projection of cancer incidence is essential for planning cancer control actions, health care and allocation of resources. Here we project the cancer burden at the National and State level to understand the magnitude of cancer problem for the various calendar years from 2011 to 2026 at 5-yearly intervals. The age, sex and site-wise cancer incidence data along with populations covered by the registries were obtained from the report of National Cancer Registry Programme published by Indian Council of Medical Research for the period 2001-2004. Pooled age sex specific cancer incidence rates were obtained by taking weighted averages of these seventeen registries with respective registry populations as weights. The pooled incidence rates were assumed to represent the country's incidence rates. Populations of the country according to age and sex exposed to the risk of development of cancer in different calendar years were obtained from the report of Registrar General of India providing population projections for the country for the years from 2001 to 2026. Population forecasts were combined with the pooled incidence rates to estimate the projected number of cancer cases by age, sex and site of cancer at various 5-yearly periods Viz. 2011, 2016, 2021 and 2026. The projections were carried out for the various leading sites as well as for 'all sites' of cancer. In India, in 2011, nearly 1,193,000 new cancer cases were estimated; a higher load among females (603,500) than males (589,800) was noted. It is estimated that the total number of new cases in males will increased from 0.589 million in 2011 to 0.934 million by the year 2026. In females the new cases of cancer increased from 0.603 to 0.935 million. Three top most occurring cancers namely those of tobacco related cancers in both sexes, breast and cervical cancers in women account for over 50 to 60 percent of all cancers. When adjustments for increasing tobacco habits and increasing trends in many cancers are made, the estimates may further increase. The leading sites of cancers in males are lung, oesophagus, larynx, mouth, tongue and in females breast and cervix uteri. The main factors contributing to high burden of cancer over the years are increase in the population size as well as increase in proportion of elderly population, urbanization, and globalization. The cancer incidence results show an urgent need for strengthening and augmenting the existing diagnostic/treatment facilities, which are inadequate even to tackle the present load.

• Korean Journal of Radiology
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• v.19 no.6
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• pp.1172-1178
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• 2018

Objective: To analyze and compare the age of data in contemporary research articles published in representative general radiology journals. Materials and Methods: We searched for articles reporting original research studies analyzing patient data that were published in the print issues of the Korean Journal of Radiology (KJR), European Radiology (ER), and Radiology in 2017. Eligible articles were reviewed to extract data collection period (time from first patient recruitment to last patient follow-up) and age of data (time between data collection end and publication). The journals were compared in terms of the proportion of articles reporting the data collection period to the level of calendar month and regarding the age of data. Results: There were 50, 492, and 254 eligible articles in KJR, ER, and Radiology, respectively. Of these, 44 (88%; 95% confidence interval [CI]: 75.8-94.8%), 359 (73%; 95% CI: 68.9-76.7%), and 211 (83.1%; 95% CI: 78-87.2%) articles, respectively, provided enough details of data collection period, revealing a significant difference between ER and Radiology (p = 0.002). The age of data was significantly greater in KJR (median age: 826 days; range: 299-2843 days) than in ER (median age: 570 days; range: 56-4742 days; p < 0.001) and Radiology (median age: 618; range: 75-4271 days; p < 0.001). Conclusion: Korean Journal of Radiology did not fall behind ER or Radiology in reporting of data collection period, but showed a significantly greater age of data than ER and Radiology, suggesting that KJR should take measures to improve the timeliness of its data.

• Journal of Labour Economics
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• v.41 no.3
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• pp.161-186
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• 2018

Albeit numerous endeavors in matching names and surveying inventors, inventor-level studies of patent data have been scarce because unique inventors can not be identified across patents. Using the Korean patent data with inventor IDs, birth year, and gender available, we construct unique inventor-level panel data. As the first undertaking with our data, we investigate the age profile of patent productivity among inventors. We find an inverted U-shaped profile with the peak at age 31. We also find an increasing productivity for younger cohorts of inventors. These findings are robust after we control for the calendar year effects and the quality of patents.

• Journal of Preventive Medicine and Public Health
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• v.52 no.3
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• pp.188-194
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• 2019

Objectives: Outbreaks of scarlet fever in Mexico in 1999, Hong Kong and mainland China in 2011, and England in 2014-2016 have received global attention, and the number of notified cases in Korean children, including in Jeju Province, has also increased since 2010. To identify relevant hypotheses regarding this emerging outbreak, an age-period-cohort (APC) analysis of scarlet fever incidence was conducted among children in Jeju Province, Korea. Methods: This study analyzed data from the nationwide insurance claims database administered by the Korean National Health Insurance Service. The inclusion criteria were children aged ${\leq}14years$ residing in Jeju Province, Korea who received any form of healthcare for scarlet fever from 2002 to 2016. The age and year variables were categorized into 5 groups, respectively. After calculating the crude incidence rate (CIR) for age and calendar year groups, the intrinsic estimator (IE) method was applied to conduct the APC analysis. Results: In total, 2345 cases were identified from 2002 to 2016. Scarlet fever was most common in the 0-2 age group, and boys presented more cases than girls. Since the CIR decreased with age between 2002 and 2016, the age and period effect decreased in all observed years. The IE coefficients suggesting a cohort effect shifted from negative to positive in 2009. Conclusions: The results suggest that the recent outbreak of scarlet fever among children in Jeju Province might be explained through the cohort effect. As children born after 2009 showed a higher risk of scarlet fever, further descriptive epidemiological studies are needed.

• Journal of agricultural medicine and community health
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• v.23 no.2
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• pp.215-227
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• 1998

To find health problems of Pohang city and to plan the activities to solve them in the situation of localization, the mortalities of the citizens in recent three years from 1994 to 1996 were analyzed from the notices and the certificates of death. The ratios of the notices with the certificates of death In the rural area of Pohang city were higher than those of whole country, the ratios of the urban area were lower than the respective ones, and the ratio differences between the rural and urban area were increasing. It may be that medical facilities are not within easy access of the rural inhabitants. especially in the rural south district with high population density. The proportional mortality indicators(PMI) were lower them those of whole country, much lower in male. So the health status of young aged males is relatively unsatisfactory. The urban inhabitants died in hospitals about two times more than the rural inhabitants and the differences were increasing. It may be that living and housing conditions and socio-cultural differences affected on the places of death. Because it is thought that death in hospitals will be growing at high speed, it is necessary to enlarge facilities fur funeral services. The age standardized mortalities were lower than those of whole country and age grouped mortalities were also the same. There were not any consistent and meaningful findings in the sex ratios of mortality according to the age groups or the calendar years. The mortalities by neoplasms and cardiovascular diseases according to the twenty one major causes of death were rapidly increased from the middle ages in both male and female. So it is important to plan the activities for early detection and health maintenance or promotion by behavior modifications. The leading causes of death were cardiovascular diseases, hypertensive diseases, and traffic accidents. And accidental drowning because of coastal area, liver diseases in male, and low respiratory tract diseases in female were the leading causes of death in part of age groups.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.22
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• pp.10021-10025
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• 2014

Background: The study aimed to describe the age distribution of breast cancer diagnosis among Chinese females for comparison with the United States and the European Union, and provide evidence for the screening target population in China. Materials and Methods: Median age was estimated from hospital databases from 7 tertiary hospitals in China. Population-based data in China, United States and European Union was extracted from the National Central Cancer Registry, SEER program and GLOBOCAN 2008, respectively. Age-standardized distribution of breast cancer at diagnosis in the 3 areas was estimated based on the World Standard Population 2000. Results: The median age of breast cancer at diagnosis was around 50 in China, nearly 10 years earlier than United States and European Union. The diagnosis age in China did not vary between subgroups of calendar year, region and pathological characteristics. With adjustment for population structure, median age of breast cancer at diagnosis was 50~54 in China, but 55~59 in United States and European Union. Conclusions: The median diagnosis age of female breast cancer is much earlier in China than in the United States and the European Union pointing to racial differences in genetics and lifestyle. Screening programs should start at an earlier age for Chinese women and age disparities between Chinese and Western women warrant further studies.