• 대한수의학회지
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• 제55권2호
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• pp.75-80
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• 2015

Calf losses have an economic impact on larger Korean native cattle (KNC) breeding farms due to replacement, productivity, and marketing. However, little research on KNC calf mortality or causes of calf death on large-scale breeding farms has been conducted. Based on medical records and autopsy findings from the Hanwoo experimental station of the National Institute of Animal Science, calf death records from 2002 to 2011 were used to identify the causes of mortality. Mortality rate of KNC calves was 5.7%. Large differences (1.8~12.6%) in yearspecific mortalities were observed. Calf deaths were due to digestive diseases (68.7%), respiratory diseases (20.9%), accidents (6.0%), and other known diseases (2.2%). The main cause of calf death was enteritis followed by pneumonia, rumen indigestion, and intestinal obstruction. The greatest number of calf deaths occurred during the fall followed by summer. These results indicated that enteritis and pneumonia were the main reasons for calf death. However, autopsy findings demonstrated that other factors also caused calf death. This study suggested that seasonal breeding and routine vaccinations are the most important factors for preventing calf death, and improving calf health in high land areas with low temperature.

• Journal of the Korean Data and Information Science Society
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• 제27권5호
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• pp.1169-1182
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• 2016

한국인의 전형적인 사망 원인인 암은 보건 분야에서 중요한 문제이다. 통계청이 제시한 Cause of death statistics (2014)에 따르면, 7대 광역시 중 부산의 표준화 사망률 (standardized mortality rate; SMR)이 가장 높게 나타났다. 이 논문에서는 부산지역암센터의 암등록자료를 이용하여 암발생률과 암사망률의 정도를 추정하고자 한다. 2003~2009년 자료를 대상으로 구/동과 같은 소지역 단위를 고려하였으며, 전체 암과 4대 주요암 (위암, 대장암, 폐암, 간암)에 대해 분석하였다. 공간 상관성을 고려한 공간 다수준 모형을 통해 모형 선택과 모수 추정을 수행하였다. 공간 효과에 대해서는 조건부 자기회귀 (conditional autoregressive; CAR)를 가정하였으며 WinBUGS를 이용하였다. 분석의 결과로 각 지역에서의 공간 효과를 어떻게 분석하고 해석하는지 제시하였다.

• Journal of Preventive Medicine and Public Health
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• 제31권4호
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• pp.604-615
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• 1998

Although previous studies revealed the association of physical activity with mortality rate, it is unclear whether there is a linear trend between physical activity and mortality rate. In this study, the association of physical activity with the risk of all-cause mortality was analysed using Cox's proportional hazard model for a cohort of 14,204 healthy Korean men aged 40-59 years followed up for 4 years(Jan. 1993-Dec. 1996). Physical activity and other life style were surveyed by a postal questionnaire in December 1992. Total of 14,204 subjects were grouped into quartiles by physical activity. Using death certificate data, 123 deaths were identified. The second most active quartile had a lowest mortality .ate with relative risk of 0.44(95% C.I. : 0.23-0.84) compared with most sedentary quartile, showing a J-shape pattern of physical activity-mortality curve. By examining the difference in proportion of cause of the death between most active quartile and the other quartiles, there was no significant difference of proportional mortality from cardiovascular deaths, cerebrovascular deaths or deaths from trauma. The covariates were stratified into two group between which the trend of RR was compared to test the effect modification. There was no remarkable effect modification by alcohol intake, smoking, body mass index, calorie consumption, percent fat consumption. In conclusion, moderate activity was found to have more protective effect on all-cause mortality than vigorous activity and that the J-shape pattern of physical activity-mortality curve was not due to the difference of mortality pattern or effect modification by alcohol intake, smoking, body mass index, calorie consumption and percent fat consumption.

• 한국대기환경학회지
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• 제22권5호
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• pp.554-563
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• 2006

Numerous epidemiological studies have shown stronger associations between $PM_{2.5}$ and both mortality and morbidity than $PM_{10}$. The association of $PM_{2.5}$ with respiratory mortality was examined in Seoul, during the period of $1996{\sim}2002$. Because $PM_{2.5}$ data were available for only 10% of this time period, a prediction regression model was developed to estimate $PM_{2.5}$ concentration. Death count due to respiratory-related diseases(total respiratory mortality; ICD-10, J00-J98) and death counts(cause-specific mortality) due to pneumonia(ICD-10, J12-J18), COPD(ICD-10, J40-J44) and asthma(ICD-10, J45-J46) were considered in this study. Averaged daily mortality was 5.6 for total respiratory mortality and 1.1 to 1.6 for cause-specific mortality. Generalized additive Poisson models controlling for confounders were used to evaluate the acute effects of particle exposures on total respiratory mortality and cause-specific mortality. An IQR increase in 5-day moving average of $PM_{2.5}(22.6{\mu}g/m^3)$ was associated with an 8.2%(95% CI: 4.5 to 12.1%) increase in total respiratory mortality The association of $PM_{2.5}$ was stronger for the elderly ($\geq$65 years old, 10.1%, 95% CI: 5.8 to 14.5%) and for males(8.9%, 95% CI: 2.1 to 11.3%). A $10{\mu}g/m^3$ increase in 5-day moving average of $PM_{2.5}$ was strongly associated with total respiratory mortality in winter(9.5%, 95% CI: 6.6 to 12.4%), followed by spring(3.1%, 95% CI: -1.2 to 7.5%), which was a different pattern with the finding in North American cities. However, our results are generally consistent with those observed in recent epidemiological studies, and suggest that $PM_{2.5}$ has a stronger effect on respiratory mortality in Seoul.

• Environmental Analysis Health and Toxicology
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• 제26권
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• pp.9.1-9.9
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• 2011

Objectives: In order to evaluate which temperature index is the best predictor for the health impact assessment of heat stress in Korea, several indexes were compared. Methods: We adopted temperature, perceived temperature (PT), and apparent temperature (AT), as a heat stress index, and changes in the risk of death for Seoul and Daegu were estimated with $^1{\circ}C$ increases in those temperature indexes using generalized additive model (GAM) adjusted for the non-temperature related factors: time trends, seasonality, and air pollution. The estimated excess mortality and Akaike's Information Criterion (AIC) due to the increased temperature indexes for the $75^{th}$ percentile in the summers from 2001 to 2008 were compared and analyzed to define the best predictor. Results: For Seoul, all-cause mortality presented the highest percent increase (2.99% [95% CI, 2.43 to 3.54%]) in maximum temperature while AIC showed the lowest value when the all-cause daily death counts were fitted with the maximum PT for the $75^{th}$ percentile of summer. For Daegu, all-cause mortality presented the greatest percent increase (3.52% [95% CI, 2.23 to 4.80%]) in minimum temperature and AIC showed the lowest value in maximum temperature. No lag effect was found in the association between temperature and mortality for Seoul, whereas for Daegu one-day lag effect was noted. Conclusions: There was no one temperature measure that was superior to the others in summer. To adopt an appropriate temperature index, regional meteorological characteristics and the disease status of population should be considered.

• Neonatal Medicine
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• 제28권3호
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• pp.99-107
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• 2021

Purpose: Studies have been conducted on the prevalence and infant mortality rate of congenital anomalies; however, studies on child mortality are rare. Therefore, we evaluated the characteristics of deaths associated with congenital anomalies among children born in Korea who died within 5 years of age. Methods: Birth-to-death cohort linked data of children under the age of 5 years from 2010 to 2013, and statistical data on the cause of death by age from 1999 to 2019, both provided by the Korea National Statistical Office's Microdata Integrated Service, were retrospectively investigated. We investigated the trends and characteristics of mortality associated with congenital anomalies. Results: Among 1,858,945 children, 6,510 children who died were under 5 years of age, and among them, 1,229 deaths were associated with congenital anomalies, while 5,281 deaths were due to other causes. Deaths associated with congenital anomalies accounted for 18.9% of all deaths. When comparing congenital anomalies by systems, anomalies of the cardiovascular system (52.6%) were the most common. The mortality rate associated with congenital anomalies and those of other causes showed similar declining trends in 21 years. Conclusion: The mortality rate of congenital anomalies during the first 5 years of life did not increase differently from the prevalence of congenital anomalies but rather decreased. Deaths associated with congenital anomalies accounted for 20.5% of all infant deaths and 12.1% of child deaths, since the major causes of death in infants and children are slightly different, continuous and careful monitoring is required.

• 한국임상수의학회지
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• 제19권2호
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• pp.211-214
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• 2002

The mortalities of exotic felids that have been raised in Everland Zoological Gardens within a designated period (1976∼2001) were retrospectively analyzed based on the clinical charts and/or autopsy reports. During that period, a total of 154 exotic folios from 5 species were died. Noninfectious and traumatic factors, respiratory and digestive disorders account for the majority of cause of death. 40% of the death was concentrated in the winter season. The mortality of female and male was 55% and 45% respectively. The mortality of newborn folios(57%) were significantly higher than that of adult(32% and juvenile felids(11%) due to neonatal problems.

• 한국임상수의학회지
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• 제17권1호
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• pp.83-87
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• 2000

The mortalities of the monkeys that have been raised in Everland Zoological Gardens within a designated period (1976-1999) were retrospectively analyzed based on the clinical charts and/or autopsy reports. During that period, a total of 161monkeys from 8 species were died. Noninfectious and traumatic factors, respiratory and digestive disorders account for the majority of cause of death. 62% of the death was concentrated in the winter season. The mortality of female and male was 53 and 47%, respectively. The mortality of adult monkey(62%) due to neoplasia and senile changes.

• 한국인구학
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• 제16권2호
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• pp.65-83
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• 1993

The purpose of this study is estimate limits of Korean life expectancy at birth by 'Gompertz growth curse Model', 'Cause-Elimination Model' and Multidimensional models of Senescencee and Mortality'. Data used in Gompertz curve were obtained from all life tables published from 1905 to 1990 in Korea, and life expectancies at birth of eighteen groups were selected at five-year interval in consideration of time-series changes. Data used in Cause-Elimination Model are 'Cause of Death statistics in 1991' published in 1992 by National Bureau of Statistics of Korea and 'life table of 1989' published in 1990 by National Bureau of Statistics, Economic Planning Board of Korea. The materials are all classifiable death data, 119, 253 cases of male and 82, 420 cases of female, which is from 1991 Causes of Death statistics. The cases of death analyzed belong to one of 8 categories; i.e., Infectious and Parasitic Diseases(001-139; with notation of Infectious Diseases), Malignant Neoplasms(140-208), Hypertensive Diseases(401-405), Ischemic Heart Dieases and Diseases of Pulmonary Circulation and Other Forms of Heart Diseases(410-429;with notation of Heart Disease), Cerebrovascular Diseases(430-438), Chronic Liver Diseases and Cirrhosis(571; with notation of Liver Diseases), Injury and Poisoning(800-999) and all other disease. Data used in 'Multidimensional models of senescence and mortality' were life table of 1989 published by National Bureau of statistics, Economic Planning Board of Korea and life table of 1970, 1978-79, 1983, 1985 and 1987. The major findings may be summarised as follows: 1. Estimate equations of Gompertz growth curve using life expectancy at birth during the 1905-1990 period are as the following. Male : y = 88.047697 $\times$ $0.199690^{0.903381x}$ Female : y = 95.632828 $\times$ $0.199690^{0.903381x}$ Limits of life expectancy at birth, which were estimated by Gompertz growth curve, are 88.05 for male and 95.63 for female. 2. The effect on life expectancy at birth eliminationg all causes death is 14.04 years(for male) and 10.86 years(for female). Astonishingly, eliminating the malignant neoplasms increase life expectancy at birth by 2.85 years for male 2.03 years for female in 1991. In table 8 we show the effect on life expectancy at birth of separately eliminating each of the 8 categorical causes of death. The theoretical limit to life expectancy by Cause-Elimination Model is 80.96 for male and 85.82 for female. 3. If the same rate of delay [0.376 year(male), 0.435 year(femable) per calendar year] continued, then life expectancy at birth would reach 74.82(male) years and 84, 10(female) years in 2010. With 14.04-years(male) and 10.86-years(female) effect attributable in 2010 would be 88.86 years(male) and 94.96(femable) years. 4. 'Multidimensional models of senescence and death' permits calculations of the value of the attribution coefficient (B), percent of loss per year of physiologic function. The results of Ro and B during the 1970-1989 period are listed in table 9. Estimate of limit to Korean life expectancy at birth by 'Multidimensional models of senescence and death' is 99.47 years for male and 104.74 years for female in 1989.

• Asian Pacific Journal of Cancer Prevention
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• 제16권3호
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• pp.1069-1072
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• 2015

Background: Colorectal cancer (CRC) is an important cause of mortality and morbidity in many communities worldwide. This population based study was conducted to assess determinants of colorectal mortality in Iranian patients. Materials and Methods: A cohort of 1,127 cases of confirmed colorectal cancer registered in a population based registry covering 10 referral hospital in Tehran, Iran, were followed for five years. Information about tumor characteristics, smoking status and family history were collected at base line and survival status were followed every six months by contacting patient or next of kin (if patients died during the follow-up). The cause of death for each case was validated by verbal autopsy and referring to patient medical records at the time of death. The data were analyzed by Stata software using univariate and multivariate analysis (Cox regression). In building the model a p value of less than 5% was considered as significant. Results: The age at diagnosis was $53.5{\pm}14$ years. Sixty one percent were male. Colorectal mortality among the patients was 96.9 person-years among men and 83 person-years among women. Seventy five percent of patients lived for 2.72 years, 50% for 5.83, and 25% for 13 years after the diagnosis of colorectal cancer. The age at diagnosis was significantly different between men and women (p<0.03). Higher tumor grade predicted higher death rate; the adjusted hazard ratios were 1.79 (95%CI, 0.88-3.61), 2.16 (95%CI, 1.07-4.37), and 3.1 (95%CI, 1.51-6.34) for grades II, III, and IV respectively when they were compared with grade I as reference. Ethnicity, marital status, family history of cancer, and smoking were related to survival with different degrees of magnitude. Conclusions: Among many factors related to survival among the colorectal patients, tumor grade and smoking showed the highest magnitudes of association.