• Asian Pacific Journal of Cancer Prevention
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• 제15권10호
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• pp.4307-4309
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• 2014

Purpose: To calculate the probability of one person's life-time death caused by a malignant tumor and provide theoretical basis for cancer prevention. Materials and Methods: The probability of one person's death caused by a tumor was calculated by a probability additive formula and based on an abridged life table. All data for age-specific mortality were from the third retrospective investigation of death cause in China. Results: The probability of one person's death caused by malignant tumor was 18.7% calculated by the probability additive formula. On the same way, the life-time death probability caused by lung cancer, gastric cancer, liver cancer, esophageal cancer, colorectal and anal cancer were 4.47%, 3.62%, 3.25%, 2.25%, 1.11%, respectively. Conclusions: Malignant tumor is still the main cause of death in one's life time and the most common causes of cancer death were lung, gastric, liver, esophageal, colorectal and anal cancers. Targeted forms of cancer prevention and treatment strategies should be worked out to improve people's health and prolong life in China. The probability additive formula is a more scientific and objective method to calculate the probability of one person's life-time death than cumulative death probability.

• 보건행정학회지
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• 제11권1호
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• pp.1-18
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• 2001

The purpose of the present study was to assess the agreement of survival probability estimated by International Classification of Diseases l0th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with professional panel's judgment on preventable death. ICISS has a promise as an alternative to Trauma and Injury Severity Score(TRISS) which have served as a standard measure of trauma severity, but requires more validation studies. Furthermore as original version of ICISS was based ICD-9CM, it is necessary to test its performance employing ICD-10 which has been used in Korea and is expected to replace ICD-9 in many countries sooner or later. Methods : For 1997 and 1998 131 trauma deaths and 1,785 blunt trauma inpatients from 6 emergency medical centers were randomly sampled and reviewed. Trauma deaths were reviewed by professional panels with hospital records and survival probability of trauma inpatients was assessed using ICD-10 based ICISS. For trauma mortality degree of agreement between ICISS survival probability with judgment of professional panel on preventable death was assessed and correlation between W-score and preventable death rate by each emergency medical center was assessed. Results : Overall agreement rate of ICISS survival probability with preventable death judged by professional panel was 66.4%(kappa statistic 0.36). Spearman's correlation coefficient between W-score and preventable death rate by each emergency medical center was -0.77(p=0.07) and Pearson's correlation coefficient between them was -0.90(p=0.01). Conclusions : The agreement rate of ICD-10 based ICISS survival probability with of professional panel's judgment on preventable death was similar to TRISS. The W-scores of emergency medical centers derived from ICD-10 based ICISS were highly correlated with preventable death rates of them with marginal statistical significance.

• 응용통계연구
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• 제24권5호
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• pp.769-789
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• 2011

생명표는 특정 집단의 사망 경험(mortality expereience)을 반영하여 각 연령에서의 기대여명을 추정하는 통계적 모형이다. 사망 경험은 사망확률(death probability)을 통해 반영되는데, 사망확률을 추정하기 위해서는 세 가지 사항이 고려되어야 한다. 첫째는 사망률(death rate)로부터 사망확률을 추정하는 방법의 선택이며, 둘째는 사망확률의 불규칙성을 해결하기 위한 평활 방법, 셋째는 초고령 자료의 신뢰성 문제를 해결하기 위한 사망확률 추정 및 확장 문제이다. 본 논문에서는 사망확률 추정방법의 선택을 위해 Chiang 방법, 상수방법, Greville 방법, Reed and Merrell 방법 및 Keyfitz and Frauenthal 방법을 비교하며, 평활 방법으로는 Beers 방법, Greville 방법 및 이동평균 방법을 비교하도록 한다. 또한 초고령에서 사망확률 추정 및 확장을 위해 총 12가지 수학적 함수를 비교한다. 본 논문에서는 각 방법들을 비교함으로써 우리나라에 적합한 생명표 작성 방법을 제시하고, 이를 이용하여 2005년부터 2009년까지의 생명표를 작성하도록 한다. 또한 기간별 성별 기대여명의 역전현상(cross-over)현상을 해결하기 위한 방법을 제시한다.

• 한국노년학
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• 제40권4호
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• pp.707-727
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• 2020

본 연구는 확장된(Expanding) Andersen 행동 모델(2002)에 기반하여 독거노인의 고독사 가능성 인식이 지각된 사회적 지지와 시설 돌봄 선호와의 관계에서 어떠한 역할을 하는지 실증적으로 분석해 보고자 하였다. 이를 위해 2018년 서울시에서 실시한 노인실태조사에서 독거노인을 추출해 연구대상(n=676)으로 삼았으며, 지각된 사회적 지지를 독립변수, 시설 돌봄 선호를 종속변수, 고독사 가능성 인식을 매개변수로 Baron&Kenny(1986)의 3단계 매개 효과 분석을 위해 이항 로지스틱 회귀분석을 실시하였다. 연구 결과 지각된 사회적 지지는 시설 돌봄 선호와 고독사 가능성 인식에 부적인 영향을, 고독사 가능성 인식은 독거노인의 시설 돌봄 선호에 정적인 영향을 미칠 가능성이 있음을 확인하였다. 마지막으로 지각된 사회적 지지가 시설 돌봄 선호에 미치는 영향에서 고독사 가능성 인식은 부분 매개 효과가 있는 것으로 분석되었다. 연구의 목적과 주요결과에 따른 실천적 제안은 다음과 같다. 첫째, 증가하는 독거노인을 대상으로 시설 돌봄 선호의 가능성 요인으로 확인된 지각된 사회적 지지의 수준을 높이기 위한 다양한 프로그램의 개발과 지원이 요구된다. 둘째, 고독사 가능성 인식은 시설 돌봄 선호의 심리사회적 요인으로 확인된 바, 독거노인을 대상으로 고독사 준비를 위한 교육과 지원이 보다 활성화 될 필요가 있다. 본 연구결과는 노인돌봄 정책의 컨셉 중 하나인 "aging in place" 실현에 관한 논의의 기초자료로서 활용될 수 있을 것이다.

• 한국인구학
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• 제6권1호
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• pp.43-69
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• 1983

This study was conducted to make the life tables from specific causes of death in Korea. Both "Life tables of Korea in l978-79" and "the statistics on causes of death statistics in 1980" issued by Economic Planning Board were used as source of data for this study. Among the 58, 187 death certificates reported to the concerned authorities, 39, 801 causes were drawn for the purpose of this study. As a result, it is revealed that two thirds of men in Korea died from these 10 major causes of death. The summarized results are as follows: 1. According to recent statistics, 10 major causes of death in 1980 were shown in the order of 1) malignant neoplasms, 2) cerebrovascular disease, 3) accidents and adverse effects, 4)hypertensive disease, 5) ischaemic heart disease and heart attack, 6) chronic liver disease and cirrhosis, 7) tuberculosis, 8) pneumonia, bronchitis, emphysema and asthma, 9) suicide, 10) diabetes mellitis. 2. The major causes of death in Korea were very similar to those of developed countries such as West Germany, Denmark and Japan. This means that our pattern of death causes is almost approaching to that of developed countries. 3. Our crude death rate in 1980 was on the line of 6.6 per 1, 000 people. This is very low level, compared with 12.1 in West Germany and 10.0 in Denmark, however, our age sepcific death rate was on the verge of doubled level in each age category as to that of West Germany, Denmark and Japan. The fact tells us that our death rate is very high yet, especially in young and prime adult age, and the proportion of the aged is quite low. 4. Average ages of people died from malignant neoplasms, cerebro vascular diseases and hypertensive diseases were 63.1, 66.6, 67.3 respectively, however, that of accidents and adverse effect was only 42.5. This shows that accidents occur indifferently from age. 5. In the curve of eventual death probability, the curve of malignant neoplasms was the highest of all curves before 60 in age. However, the probability curve of eventually dying from accidents and adverse effects tends to decline with age. 6. In this study five life tables from major causes of death (four leading causes of death and of tuberculosis) were constructed for 1979. These life tables are reflecting accurately the effects of age distribution on the specific cause of death. In the surviving curje of these tables we can see that the curve of accidents is adversely related to age. While curves of neoplasms, hypertension and tuberculosis are not diminishing before 40 in age, they are going sharply downward after 50 in age.ard after 50 in age.

• 한국산업보건학회지
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• 제29권1호
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• pp.69-81
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• 2019

Objective: The purpose of this study was to find out what kind of change in death rate when job stress is solved by calculating job stress relieve coefficient. Methods: This study used the data of the fourth working condition survey. Regression analysis was used to determine the relationship between health effects recognition and Death rate per 10,000 workers. After that the recognizing and non - recognizing groups were categorized by health effects recognition, and the differences between the two groups were confirmed by cross tabulation analysis. Results: Regress analysis P-value is 0.011 and $R^2$ is 0.979. Death rate per 10,000 worker increased with the increase in the number of non - health impact recognizing group. The relieve factors were (1) work culture(2.859) (2) physical environment(2.184), (3) improper reward (1,839), (4) relationship conflict(1.646), (5) job requirement(1.613), (6) job autonomy(1.354), (7) job instability(1.334), And (8) organizational system(1.201). The higher the relieve coefficient is, the higher the probability of belonging to the non - health impact recognizing group when there is no job stress factor. Conclusions: When job stress is resolved, there is a high probability that the health impact recognition is reduced, which can lead to an increase in death rate. but according to previous studies, Job stress can cause accidents by reducing the safety behavior of accidents. The job stress management plan should simultaneously consider reducing job stress and increasing health impact recognition.

• 한국산학기술학회논문지
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• 제20권8호
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• pp.514-522
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• 2019

본 연구는 대학생과 노인을 대상으로 웰다잉(Well-dying) 프로그램을 적용하여 죽음불안, 좋은 죽음에 대한 인식, 죽음준비도에 미치는 효과를 파악하기 위한 두집단 사전 사후 설계연구이다. 연구는 G도, C시 C대학교 대학생 9명과 노인 14명을 대상으로 웰다잉(Well-dying) 프로그램을 12시간 제공하고 그 효과를 검증하였다. 자료 수집 기간은 2018년 10월 1일부터 12월 31일까지였다. 자료분석은 IBM SPSS 24.0을 이용하여 자료를 분석하였으며, 변수들의 정규성 검증은 Shapiro-Wilk 검증을 실시하였다. 동질성은 실수와 백분율 및 Fisher's exact probability test와 Independent t-test, Mann-Whitney test를 사용하였다. 두집단의 프로그램 효과 검정을 위해 Repeated Measure ANOVA, Friedman test를 이용하여 분석하였다. 연구 결과, 노인군과 대학생군의 죽음불안, 좋은 죽음인식은 시점과 그룹간의 교호작용이 없었으나, 시점에 따라 유의한 차이가 있었다(p<.030). 죽음준비도는 시점과 그룹간의 교호작용이 있었고(p=.030), 그룹간 유의한 차이가 있었다((p=.003). 본 연구의 웰다잉 프로그램은 대상자의 죽음불안과 좋은 죽음에 대한 인식 상승에 도움을 주는 프로그램이며, 특히 노인의 죽음준비에 도움이 되는 프로그램으로 나타났다.

• 한국국방경영분석학회지
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• 제6권2호
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• pp.129-149
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• 1980

In medical follow-up, equipment lifetesting, various military situations, and other fields, one often desires to calculate survival probability as a function of time, p(t). If the observer is able to record the time of occurrence of the event of interest (called a 'death'), then an empirical, non-parametric estimate may simply by obtained from the fraction of survivors after various elapsed times. The estimation is more complicated when the data are truncated, i.e., when the observer loses track of some individuals before death occurs. The product-limit method of Kaplan and Meier is one way of estimating p(t) when the mechanism causing truncation is independent of the mechanism causing death. This paper proposes jackknife estimators of logistic trans-formation and compares it to the product-limit method. A computer simulation is used to generate the times of death and truncation from a variety of assumed distributions.

• Journal of Korean Neurosurgical Society
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• 제54권1호
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• pp.42-46
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• 2013

Objective : Despite several limitations, the Trauma Injury Severity Score (TRISS) is normally used to evaluate trauma systems. The aim of this study was to evaluate the preventable trauma death rate using the TRISS method in severe trauma patients with traumatic brain injury using our emergency department data. Methods : The use of the TRISS formula has been suggested to consider definitively preventable death (DP); the deaths occurred with a probability of survival (Ps) higher than 0.50 and possible preventable death (PP); the deaths occurred with a Ps between 0.50 and 0.25. Deaths in patients with a calculated Ps of less than 0.25 is considered as non-preventable death (NP). A retrospective case review of deaths attributed to mechanical trauma occurring between January 1, 2011 and December 31, 2011 was conducted. Results : A total of 565 consecutive severe trauma patients with ISS>15 or Revised Trauma Score<7 were admitted in our institute. We excluded a total of 24 patients from our analysis : 22 patients younger than 15 years, and 2 patients with burned injury. Of these, 221 patients with head injury were analyzed in the final study. One hundred eighty-two patients were in DP, 13 in PP and 24 in NP. The calculated predicted mortality rates were 11.13%, 59.04%, and 90.09%. The actual mortality rates were 12.64%, 61.547%, and 91.67%, respectively. Conclusion : Although it needs to make some improvements, the present study showed that TRISS performed well in predicting survival of traumatic brain injured patients. Also, TRISS is relatively exact and acceptable compared with actual data, as a simple and time-saving method.

• 대한수의학회지
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• 제44권3호
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• pp.373-378
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• 2004

To help the interpretation of causes of death, it is critical that the background incidence of factors contributing to death be recorded and archived. Information was gathered from the control groups of 19 rat carcinogenicity studies. All cases of death occurring within the 2-year period were reviewed. Out of 1124 males and 1084 females, 720 male (64.1%) and 689 female (63.6%) decedents were recorded. There was no difference in the probability of survival between two sexes. Analysis of factors contributing to death revealed that 400 males (48.7%) had neoplastic changes, 189 males (23.0%) had non-neoplastic lesions, and 232 males (28.3%) died from unknown causes. In females, these figures were 627 (76.4%), 62 (7.6%) and 132 (16.0%), for neoplastic, non-neoplastic and unknown findings, respectively. It could be suggested that the risk of death by non-neoplastic reasons was higher in the males than in the females, whereas females were more likely to be affected by tumours. In the neoplastic causes of death, pituitary tumours were the most common in both sexes, followed by mammary tumours in females, and haemopoietic tumours in males. In non-neoplastic cause of death, renal diseases were the most common in both sexes, followed by skin diseases and cardiovascular diseases in males, and skin diseases and poditis in males. A relatively large number of animals (28.3% in males and 16.0% in females) were found dead, without any significant clinical or histologically identifiable cause. Most of the animals with pituitary tumours were killed in extremis and the proportion of females (70.1%) being greater than males (46.8%). There were no case which died by accident, and also only minimal incidence which died by bleeding procedures.