• Proceedings of the Korean Statistical Society Conference
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• 2005.05a
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• pp.59-64
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• 2005

유배우율과 생명표의 작성기법을 응용하여 작성된 결혼생명표를 이용하여 1960${\sim}$2000년까지의 연령별 유배우율의 추이, 평균적으로 부부가 함께 생활하는 기간인 유배우 기대여명의 변화, 유배우 잠재 기대여명과 유배우 기대여명의 관계 등을 알아보았다.

• The Korean Journal of Applied Statistics
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• v.27 no.2
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• pp.211-226
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• 2014

This paper discusses life expectancy differentials of beneficiaries of national pension old-age benefit and benefit-cost analysis in Korea. These results are useful indicators for the assessment of retirement income security of beneficiaries and old-age benefits. This paper analyzes benefit-cost ratio, internal rate of return and generation transfer amount, using life tables by lifetime incomes. The result of the actuarial analysis for male life expectancy is approximately 21.69 to 24.63 years. The result of the actuarial analysis for female life expectancy is approximately 27.63 to 29.81 years. The result of the actuarial analysis of low income level is that the benefit-cost ratio is lower approximately 2.68 to 4.83%, the internal rate of return lower approximately 0.00 to 0.74%, the generation transfer amount lower approximately 3.00 to 5.74%, than total income level. The result of the actuarial analysis of high income level is that the benefit-cost ratio is higher approximately 2.07 to 4.98%, the internal rate of return higher approximately 0.03 to 1.73%, the generation transfer amount higher approximately 2.53 to 9.68%, than the total income level. The results by income varies due to the effect of income redistribution and life expectancy on the national pension.

• Journal of Hospice and Palliative Care
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• v.15 no.3
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• pp.155-161
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• 2012

Purpose: In this study, we evaluated the effects of training for survival prediction of terminally ill patients in terms of medical professionals' confidence, accuracy and knowledge of survival prediction. Methods: Twenty-nine participants completed a self-administered questionnaire where they scored their confidence, accuracy and knowledge of survival prediction before and after the training session. The training was provided in July 2009 at a university hospital located in Gyeonggi province, Republic of Korea. The participants were instructed by a professor of family medicine specialized in hospice palliative medicine to predict survival of a case using the palliative prognostic score and objective prognostic score. The training was provided in the form of a PowerPoint presentation for 40 minutes. Results: Participants' confidence in survival prediction significantly increased from $4.00{\pm}1.73$ ($mean{\pm}SD$) (0~10, visual analogue scale) to $5.83{\pm}1.71$ after the training (P<0.001). Before training, participant's level of confidence significantly correlated with their age (P=0.04). The training significantly improved the correlation between the confidence level and the number of terminal cancer patients whom they have experienced (P=0.005 before training, P=0.017 after training). Participant's accuracy in survival prediction also significantly improved from 14 of 29 (48%) to 27 of 29 (93.1%) (P<0.001). The change in knowledge of survival prediction was too small to be statistically analyzed. Conclusion: After training, the confidence and accuracy scores significantly improved. Further study with a greater number of participants is needed to generalize this finding.

• Korea journal of population studies
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• v.21 no.1
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• pp.80-104
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• 1998

In order to examine differential mortality, the life tables for the insured persons in national pension scheme were estimated by sex and types of coverage(the insured in workplaces vs. the insured in rural areas). The averages of 1994-1996 data are used for insured in workplaces, but 1996 data are used for insured in rural areas. Life expectancies at the age of 18 are 59.5 years and 67.2 years each for insured males and females and thus 7.7 years longer for females than males in workplaces. Sex difference in mortality reduces as age increases, and more rapidly at younger ages than old ages. For insured in rural areas, life expectancies at the age of 18 are 51.4 years and 61.1 years each for insured males and females and thus sex difference is 9.7 years. The greater sex difference in mortality in rural areas can be explained by sex selective migration. The difference of life expectancy between insured in workplaces and insured in rural areas is 8.1 years for males, and 6.1 years for females. Because rural-urban difference in educational attainment is greater for males than females, the greater difference in life expectancy is observed for males than females.

• Korea journal of population studies
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• v.11 no.1
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• pp.146-158
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• 1988

In order to examine differential mortality, the life tables for the insured persons in national pension scheme were estimated by sex and types of coverage(the insured in workplaces vs. the insured in rural areas). The averages of 1994-1996 data are used for insured in workplaces, but 1996 data are used for insured in rural areas. Life expectancies at the age of 18 are 59.5 years and 67.2 years each for insured males and females and thus 7.7 years longer for females than males in workplaces. Sex difference in mortality reduces as age increases, and more rapidly at younger ages than old ages. For insured in rural areas, life expectancies at the age of 18 are 51.4 years and 61.1 years each for insured males and females and thus sex difference is 9.7 years. The greater sex difference in mortality in rural areas can be explained by sex selective migration. The difference of life expectancy between insured in workplaces and insured in rural areas is 8.1 years for males, and 6.1 years for females. Because rural-urban difference in educational attainment is greater for males than females, the greater difference in life expectancy is observed for males than females.

• Korea journal of population studies
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• v.19 no.1
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• pp.123-137
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• 1996

The goal of this study was to measure the level of health quantitatively by combining mortality and morbidity level of the Korean people. The 1989 Life Table was used for the mortality data. For the morbidity data, the 15-day morbidity survey (10, 940) the hospitalized patient survey (1, 770), chronic morbidity survey (7, 241) of the 1989 National Health Sunvey conducted by Korean Institute of Health and Social Affairs were utilized. The life table analysis technique of Sullivan was adopted. The morbidity period and disability period required for this method were estimated by measuring disability period rate and disability rate. The disability free life expectancy was estimated by excluding disability life expectancy from life expectancy. In case of males, the disability-free life expectancy at birth was 60.48 years. In case of females, the disability-free life expectancy at birth was 63.80 years. The percent of disability-free life expectancy to life expectancy was 90.63% at birth in case of males and 85.20% in case of females. The portion of females was lower than that of males in all age brackets. Therefore, the percent of time spent without disability condition to life expectancy was higher for females than males. Estimating disability-free life expectancy by region, it was 61.52 years at birth in urban area and 59.34 years in rural area in case of males. In case of females, it was estimated to be 64.60 years in urban area and 63.08 years in rural area. The life expectancy of Koreans was 66.73 years for males and 74.88 years for females, 8.15 years higher than males while disability-free life expectancy was 60.48 years for males, 63.80 years for females, only 3.32 years higher than males.

• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.195-197
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• 2009

본 연구는 산부인과 내원환자에 대한 미래경영 예측하고자 한 대학병원 의무기록정보통계를 활용하여 외래환자, 입원환자 및 분만관련 자료를 분석한 결과 다음과 같다. 신환환자의 경우 평균 140.9명이었며, 각 연도가 증가함에 따라 유의하게 감소하는 경향을 보였으며(p=0.000), 최초년도(2001)에 212.6명이던 것이 최종년도(2007)에는 80.9명으로 약 140여명의 환자가 감소하였다. 입원 실인원의 경우 평균 124.6명이었며, 각 연도가 증가함에 따라 유의하게 감소하는 경향을 보였으며(p=0.000), 최초년도(2001)에 144.6명이던 것이 최종년도(2007)에는 104.8명으로 약 40여명의 환자가 감소하였다. 입원 환자 특성 및 분만관련 요인 등의 변수를 독립변수로, 입원환자수를 종속변수로 하여 다중회귀분석을 실시하였다. 그 결과, 입원환자수에 영향을 미치는 요인으로는 신환, 연인원 분만수 등이 선정되었으며 이들의 설명력은 62.8%이었다. 이상과 같은 결과 병원은 마케팅보다 환자관리라는 서비스가 우선되어야 하지만 환자 유인 효과도 현재 무시할 수 없으며 이는 환자의 병에 대해 관심을 써주는 병원의 배려가 신뢰로 연결될 수 있을 것이다.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.286-288
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• 2015

국내 전체 조종사 배출 인원은 연 평균 1,200여명을 훌쩍 넘긴 가운데, 이 중 항공기사용업체를 통해 배출된 조종사 인원은 최근 5년 사이 2~3.5배 이상의 증가추세를 보이며 약 650여명 이상을 배출함으로써 전체 인원의 반 이상을 차지하고 있다. 그러나 현행 법령은 비행훈련과정을 운영하는 대학을 포함하여 항공기사용사업의 업무영역을 고려한 등록 요건 및 안전 고려가 부족하며, 비행훈련은 미래의 조종사를 양성하는 중요한 영역임에도 불구하고 훈련프로그램에 관한 요건이 규정되지 않아 비행안전은 물론, 양질의 조종사 인력양성을 위한 제도적 장치가 부족한 상황이다. 본 연구는 최근 발생한 항공기 사고/준사고 및 안전장애 유형을 토대로 항공기사용사업체에 대해 분석하고, 시행중인 비행훈련에 대한 법과 제도, 안전관련 개선방안에 대해 살펴보고자 한다.

• Korea journal of population studies
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• v.32 no.1
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• pp.93-111
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• 2009

This study aims to find out changes of marital status and average marital life expectancy in Korea according to educational attainment. The study produces Korean marriage life table to accomplish the goal of study by introducing Wolfbein-Wool style working life table. Specific data utilized in this study are collected from the Population & Housing Census 2005 and Death Census 2005. Educational attainment is divided into four categories to accommodate to this study: elementary school course and lower, middle school course, high school course, college course and higher. Marriage rate, divorce rate, widowhood rate and death rate according to educational attainment are used as basicdata to analyze marital life expectancy. The results of this study are as follows: 1. As subjects age is younger, the average marital life expectancy of the highly educated tends to be higher. The disparity of average marital life expectancy according to educational attainment is apt to become narrow as subjects age is older. However, the gap between people who graduated from middle school and high school in older age group does not distinctive. 2. Males marital life expectancy is higher than females controlling for their educational attainment. 3. Males live with their wife for most of their lives but females live alone more than 10 years in every single educational categories. Based on the above, this study concludes that the average marital life expectancy is differentiated among age and sex according to educational attainment. Marital rate tends to be higher as educational level is higher. Divorce rate is lower in the highlyeducated group as their age is younger but this is apt to reverse as age is older. Furthermore, bereavement rate shows division according to educational attainmentsince one tends to marry other who has similar level of education with him or her. Therefore, educational attainment acts as an significant factor in Korean average life expectancy.

• Korea journal of population studies
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• v.35 no.2
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• pp.209-232
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• 2012

The purposes of this study is to calculate the gender-based Life Expectancy and Disability Free Life Expectancy of 65-year-olds in accordance with the regions of 16 in Korea based on the years 2005 and 2010 by using the Sullivan method. We used the Census in 2005, 2010, the Korea National Statistical Office(10% sample). We also reviewed examining the changes in LE and DFLE and understanding the relevance between the DFLE of 65-year-olds of the year 2010 and related factors. As a result of this study, it was shown that the LE of the group of all 65-year-old in Korea increased from 18.15 years in 2005 to 19.75 years in 2010 and DFLE increased from 11.41 years in 2005 to 11.64 years in 2010. Regionally, the highest LE for total of 65-year-olds was found to be the entire Jeju area and DFLE was the highest in the city of Seoul. And the highest LE and the highest DFLE for 65-year-old male were found to be in the city of Seoul. Regarding the regional LE of 65-year-old female, both in 2005 and 2010 Jeju area was seen to be the highest. The results of a correlation analysis showed that the DFLE of 65-year-olds in 2010 was found to be increasing with high LE and high population density and in regions with low average temperatures, low number of beds and low age standardized death rates of malignant neoplasms and circulatory disease.