• Korea journal of population studies
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• v.11 no.1
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• pp.197-203
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• 1988

In order to examine cause-specific mortality in Korea by comparing mortality of Japan, various mortality indicators are calculated using 1995 of ficial statistics of twonations. The mortality measures are cause-specific mortality rate by sex, age, andmarital status, cause-specific age-standardized death rate and potential years of lifelost, and their ratios by sex and nation. Items of major causes of death include allcauses (total deaths),tuberculosis, malignant neoplasm, diabetes mellitushypertensive diseases, heart diseases, cerebrovascular diseases, liver diseasestransport accidents, and suicide. Major characteristics of mortality in Korea are asfollows . (1) Death rates from most causes except suicide are higher in Korea thanJapan and especially death rates from tuberculosis, hypertensive diseases, liverdiseases, and transport accidents are higher for economically active Koreans : (2)Death rates from tuberculosis, liver diseases, transport accidents, and malignantneoplasm are salient for Korean children (3) Sex-differentials in mortality fromliver diseases, tuberculosis , and transport accidents are large for economically activeKoreans, because male mortality is higher than female mortality : (4) Suicide ratesare lower for economically active males, and higher for females aged 10s and 20s inKorea than Japan : (5) Death rates are highest f3r divorced or widowed under 45years of age depending on causes, but death rates from all causes are highest fornever-married of the age 45 and over in Korea : and (6) Sex-differentials inmortality are greatest for widowed in Korea and for divorced in Japan.

• Korean journal of applied entomology
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• v.43 no.2
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• pp.111-116
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• 2004

The development of Aphis gossypii was studied at various constant temperatures ranging from 15 to 35$^{\circ}C$, with 60-70％ RH, and photoperiod of 16：8 (L：D h). Mortality of A. gossypii was high in the early developmental stages, and at high temperatures. The total immature developmental period ranged from 4.6 to 11.5 days. The lower developmental threshold temperature and effective cumulated temperature for all immature stages were 5.0$^{\circ}C$ and 106.8 degree-day, respective. The nonlinear shape of temperature-dependent development was well described by the modified Sharpe and DeMichele model. The normalized cumulative frequency distributions of developmental period for each life stage were fitted to the three-parameter Weibull function.

• The Journal of the Korean life insurance medical association
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• v.25
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• pp.9-24
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• 2006

지속적으로 증가 하고 있는 악성 종양 발병률의 증가, 생존률의 향상, 조기발견의 증가 등이 암 기왕자의 보험 수요 상승을 가져오고 있으며, 보험시장에서 더 이상 암 기왕자를 도외시하기 어렵게 만들고 있다. 그러나, 현재 국내에서는 암 기왕자를 인수할 수 있는 상품과 언더라이팅 인수 기법이 부족한 실정이다. 본 논문은 이러한 상황 하에서 기존에 거절체로 인식되었던 암 기왕자의 적극적인 인수를 위해 악성종양에 대한 보험 의학적인 고찰과 사망률, 위험도에 대해 분석하고, 국내에서 암 기왕자의 보험 인수 시 문제점과 그 해결방안을 모색해 보았다. 종양은 종양세포의 성장과 확산의 정도를 나타내는 병기와 조직학적 등급에 의해 그 예후와 경과가 예측 가능하며, 이 병기를 표준화하려는 국제적 시도로 1977년 American Joint Committee on Cancer(AJCC)는 TNM system 을 제시하였다. 병기를 기초로 치료의 결정도 함께 이루어지는데, 주요 치료법을 수술, 방사선치료, 항암치료, 면역요법이 있다. 이러한 치료법들은 후기 부작용을 일으키거나 이차성 암(Secondary malignant neoplasm)의 원인이 되기도 한다. 병기에 따른 암환자의 사망률을 살펴 보면, 암은 일정시기 동안 사망률이 급격히 증가하다가 이후에 점차 사망률이 감소하고, 그 이후에는 사망률에 영향을 미치지 않는다. 이러한 사망률 변화의 특성은 암 기왕자에게 평준식 정액 할증법(Per mille flat extra)의 적용이 적절함을 보여준다. 그러나, 현재 국내에서는 악성 종양 기왕자를 위한 상품이 전무한 상태이며, 암의 병리적 병기와 치료에 관련된 정보를 얻을 수 있는 도구도 부족하고, 명확한 인수 기법이 없다. 또한, 자체의 경험통계의 부족으로 위험에 대한 부담감이 큰 것이 현실이다. 하지만, 병기에 따른 사망률의 변화에서도 알 수 있듯이 평준식 정액 할증법의 도입이나, 악성종양의 병기(Stage)별 정액 할증률을 삭감법으로 전환하는 기준을 개발한다면, 종신보험은 충분히 인수가 가능하다. 또한, CI 보험도 암에 대한 부담보를 하는 선진사의 인수 기법을 도입하거나, 암 기왕자만을 위한 CI 상품을 개발하는 등 새로운 인수 기법을 모색한다면, 암기왕자 인수의 폭은 넓어질 것이다. 이와 같은 노력과 함께, 언더라이팅의 정보 획득을 위한 암 기왕자만의 고지서를 개발하고, 전문 언더라이터의 양성을 위한 노력을 게을리 하지 않는다면, 암기왕자를 적극적으로 인수할 수 있을 것이다. 앞으로 국내 보험사가 위와 같은 노력을 지속적으로 해 나가고, 비교적 예후와 경과가 양호한 0기와 1기 암 기왕자부터 단계적으로 종신보험의 인수를 시도한다면, 비교적 안전하게 경험치를 축적할 수 있을 것이다. 뿐만 아니라 국내 보험업계는 새로운 시장의 확보와 보험에 대한 대외 이미지 개선이라는 효과도 함께 얻게 될 것이다.

• Korea journal of population studies
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• v.26 no.2
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• pp.1-32
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• 2003

An analysis on cause-specific mortality at the provincial level provides essential information for policy formulation and makes it possible to draw hypotheses regarding various diseases and causes of death. Although the mortality level and causes of death at the provincial level are determined by the multiple effects of socioeconomic, cultural, medical and ecological factors, this study primarily intends to examine similarities and differences of cause-specific mortality at the provincial level. Utilizing the registered death and the registered population as of 1998, the delayed death registration and unreported infant deaths were supplemented at the provincial level and age-standardized death rates and life tables were calculated. Regarding the mortality level due to all causes, major findings were as follow: (1) For both sexes as a whole, Seoul showed the lowest mortality level, and Jeonnam showed the highest mortality level; and (2) The differences of the mortality level among provinces were greater for males than females and for those less than 65 years than those 65 years and over. Regarding the cause-specific mortality level revealed in all indicators (cause-specific age-standardized mortality rates and the probability of dying at birth due to a specific cause for males, females, and both sexes combined respectively), the major findings were as follow: (1) The mortality level due to heart diseases was the highest in Busan and the lowest in Gangweon; (2) The mortality level due to liver diseases was the highest in Chonnam; and (3) The mortality level due to traffic accidents was the highest in Chungnam and the lowest in Inchon. As the mortality differentials at the provincial level are related to various factors, exploratory statistical analysis is attempted for the 25 explanatory variables including socioeconomic variables and 90 mortality variables. Mortality due to all causes are related to socioeconomic variables. Among cause-specific mortality, mortality due to liver diseases and traffic accidents is related to socioeconomic variables. Finally, the need to improve the quality of death certificate is discussed.

• Spatial Information Research
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• v.20 no.6
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• pp.23-32
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• 2012

This study applied an exploratory analysis based on Self Organizing Map and GIS to cause specific age-standardized regional death rates data related to ten types of male cancers to find meaning patterns in the data. Then the patterns revealed from the exploratory analysis was evaluated to investigate possible relationship between these patterns and regional socio-economic status represented by regional educational attainment levels of head of household. The results from this analysis show that SI-GUN-GUs in Korea can be clustered to eighteen unique clusters in the stand point of male cancer death rates and these clusters are also spatially clustered. Also, the results reveal that regions with higher socio-economic status show lower level of the death rates compared with the regions with lower socio-economic status. However, for some cancer types, the regions with higher socio-economic status show relatively higher death rates. These patterns imply that the prevention, detection, and treatment of male cancers might be strongly affected by regional factors such as socio-economic status, environmental factors, and cultures and norms in Korea. Especially, one of the eighteen clusters, which includes Gangnam-Gu and Seocho-Gu, shows lower death rates in many of male cancer types. This implies that socio-economic status may be one of the most influential factors for regional cancer control.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.325-334
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• 2015

Elderly suicide rates tend to be high in Korea. Suicide by the elderly is no longer a personal problem; consequently, further research on risk and regional factors is necessary. Disease mapping in epidemiology estimates spatial patterns for disease risk over a geographical region. In this study, we use a simultaneous conditional autoregressive model for spatial correlations between neighboring areas to estimate standard mortality ratios and mapping. The method is illustrated with cause of death data from 2006 and 2010 to analyze regional patterns of elderly suicide in Korea. By considering spatial correlations, the Bayesian spatial models, mean educational attainment and percentage of the elderly who live alone was the significant regional characteristic for elderly suicide. Gibbs sampling and grid method are used for computation.

• The Korean Journal of Applied Statistics
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• v.9 no.1
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• pp.31-43
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• 1996

The purpose of this study is to reconstruct the Specific Abridged Life Tables of Koreans, based on the Complete Life Tables of the Insurrence Companies of Korea which were constructed by the Korean Actuaries Society in 1988-1991. We compared chronologically the SDRs of the Life Tables by the National STstistica Office and the Specific Abridged Life Tables based on the Empirical Life Tables respectively. And besides, we compared the SDRs of Life Tables by National Statistical Office with the Specific Abrddged Life tabled based on the Empirical Life Tables by the Korean Actuaries Society in 1988-1991. The results of the SDRs of Koresans reveal that the tredns of the Korean Mortality from 1979 to 1991 was on decrease remarkably.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1169-1182
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• 2016

Cancer is a typical cause of death in Korea that becomes a major issue in health care. According to Cause of Death Statistics (2014) by National Statistical Office, SMRs (standardized mortality rates) in Busan were counted as the highest among all cities. In this paper, we used data of Busan Regional Cancer Center to estimate the extent of the cancer incidence rate and cancer mortality rate. The data are considered in small areas of administrative units such as Gu/Dong from years 2003 to 2009. All cancer including four major cancers (stomach cancer, colorectal cancer, lung cancer, liver cancer) have been analyzed. We carried out model selection and parameter estimation using spatial multi-level model incorporating a spatial correlation. For the spatial effects, CAR (conditional autoregressive model) has been assumed.

• Clinical and Experimental Pediatrics
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• v.51 no.11
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• pp.1158-1164
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• 2008

Purpose : To investigate the discriminative ability of pediatric index of mortality 2 (PIM2) and pediatric risk of mortality III (PRISM III) in predicting mortality in children admitted into the intensive care unit (ICU). Methods : We retrospectively analyzed variables of PIM2 and PRISM III based on medical records with children cared for in a single hospital ICU from January 2003 to December 2007. Exclusions were children who died within 2 h of admission into ICU or hopeless discharge. We used Students t test and ANOVA for general characteristics and for correlation between survivors and non-survivors for variables of PIM2 and PRISM III. In addition, we performed multiple logistic regression analysis for Hosmer-Lemeshow goodness-of-fit, receiver operating characteristic curve (ROC) for discrimination, and calculated standardized mortality ratio (SMR) for estimation of prediction. Results : We collected 193 medical records but analyzed 190 events because three children died within 2 h of ICU admission. The variables of PIM2 correlated with survival, except for the presence of post-procedure and low risk. In PRISM III, there was a significant correlation for cardiovascular/neurologic signs, arterial blood gas analysis but not for biochemical and hematologic data. Discriminatory performance by ROC showed an area under the curve 0.858 (95% confidence interval; 0.779-0.938) for PIM2, 0.798 (95% CI; 0.686-0.891) for PRISM III, respectively. Further, SMR was calculated approximately as 1 for the 2 systems, and multiple logistic regression analysis showed ${\chi}^2(13)=14.986$, P=0.308 for PIM2, ${\chi}^2(13)=12.899$, P=0.456 for PRISM III in Hosmer-Lemeshow goodness-of-fit. However, PIM2 was significant for PRISM III in the likelihood ratio test (${\chi}^2(4)=55.3$, P<0.01). Conclusion : We identified two acceptable scoring systems (PRISM III, PIM2) for the prediction of mortality in children admitted into the ICU. PIM2 was more accurate and had a better fit than PRISM III on the model tested.

• Journal of agricultural medicine and community health
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• v.37 no.1
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• pp.36-51
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• 2012

Objectives: This study was conducted to implement Health Plus Happiness Plus projects in Gyeongsangnam-Do and assess the policy implications of initiatives to address regional health inequalities. Methods: Health Plus Happiness Plus projects were started as strategies to address regional health inequalities in Gyeongsangnam-Do. The principles of these projects are taken from the Health Action Zones initiatives in England: participation, partnership, resource concentration in project areas. The time period for these projects is from 2010 to 2017, and the total budget is 5.6 billion won. In 2010, a 6.8 hundred million won total budget was invested in 17 project areas. Such investments fell into four broad categories: establishment of the means and local framework; survey development to analyze the health determinants; development of an education and training center; and establishment of a technical support center. Results: Education and training programs for practitioners and coordinators were provided, and project teams and project promotion committees were established in project areas. Health survey result briefing meetings were held, and 17 health committees were established in project areas. Conclusions: Health Plus Happiness Plus projects have some problems in relation to participation and partnerships, however, if these principled projects are performed continuously, they will contribute to a reduction of standardized mortality rate and regional health inequalities in Gyeongsangnam-Do and the improvement of residents' well-being in project areas.