• Journal of the Korean Data and Information Science Society
• /
• v.24 no.3
• /
• pp.571-584
• /
• 2013

Various risk factors other than age and sex affecting human mortality have been identified and quantitatively analyzed by previous studies in many area of research. Marital status is one of key mortality risk factors which affect life expectancy directly or indirectly. Relevant results have implication on risk management for both of social and private insurance. In this paper, a mortality model to reflect mortality differential according to marital status and possible transitions among marital status is designed. Various actuarial calculations were performed and related issues were discussed.

• Health Policy and Management
• /
• v.13 no.4
• /
• pp.99-114
• /
• 2003

This study was performed to determine the effect of social class distribution as measured by lower social class rate on all cause and cause specific mortality in Korea. I obtained data on social class, fiscal autonomy of municipalities, number of medical doctors, region(Si/Gun) from 1955 Korea Census Data and Regional Statistics Data. And all of the data on mortality adjusted for age for 1995 for each district from the National Statistics Office. Lower social class rate ranged from 18.9％ for Kangnam gu to 85.7％ for Imsil gun and age standardized mortality ranged from 385/100,000 population for Kangnam go to 803/100,000 population for Sinan gun. Lower social class showed had a significant correlation with total mortality adjusted for age(r=0.81, p<0.0001). The association of the rate to total mortality remained highly significant after adjusted for number of medical doctors per 1,000 population, fiscal autonomy of municipalities and region(p<0.0001). Effects of the lower social class were also found for neoplasm (p=0.0008)； cardiovascular disease (p<0.0001)； infectious disease(p=0.0115)； respiratory disease(p=0.0085)； gastrointestinal disease(p<0.0001)； accident ＆ poisoning (p<0.0001). The findings suggest that policies that deal with the inequality in social class may have an important impact on the health of the population.

• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.10
• /
• pp.5681-5685
• /
• 2013

Background: To compare breast cancer incidence and mortality trends in Central Serbia between males and females in the period 1999-2009. Materials and Methods: In this descriptive study, mortality data were obtained from the National Statistics Institute and morbidity data were derived from Institute of Public Health of Serbia for the period of interest. Results: Breast cancer is a leading cancer in the female population of Central Serbia, whereas in male population it is not on the list of 10 leading localizations, concerning both incidence as well as mortality. In the period 1999-2009 the average standardized incidence rates of breast cancer were 60.5/100,000 in women and 1.4/100,000 in men, while average standardized mortality rates were 20.4/100,000 and 0.4/100,000. The average standardized incidence and mortality rates were about 45 times higher in females than males. Male breast cancer comprises approximately 2.1% of all breast cancer cases. The average age-specific mortality and incidence rates increased with age in both sexes. In the observed period standardized mortality rates of breast cancer increased significantly only in men ($y=0.320+0.0215{\times}$, p=0.044). Conclusions: The increase of breast cancer incidence in both sexes and mortality in men, indicate an urgent need for Serbian health professionals to apply existing cancer control and preventive measures. Male breast cancer is more present than in other world regions, with an outstanding increase of mortality, which demands a timely identification (screening) and adequate treatment. A national policy including mammography should be considered in the light of the newest findings.

• The Korean Journal of Applied Statistics
• /
• v.18 no.3
• /
• pp.639-654
• /
• 2005

The Lee and Carter method has widely used to forecast mortality because of the simple structure of model and the stable forecasting. The Lee and Carter method, however, also has limitations. The assumption of the rate of decline in mortality at each age remaining invariant over time has been violated in several decades. And, there is no way to include covariates in the model for better forecasts. Here we introduce Park, Choi and Kim method to make up for Lee and Carter's weak points by using two random processes. We discuss structural features of two methods. furthermore, for each method, we forecast life expectancy for 2005 to 2050 using South Korea data and compare the results.

• The Korean Journal of Applied Statistics
• /
• v.30 no.5
• /
• pp.701-717
• /
• 2017

The interest of Korean society and government on future demographic structures is increasing due to rapid aging. Korea's mortality rate is decreasing, but the declined gap is variable. In this study, we compare the Lee-Carter, Lee-Miller, Booth-Maindonald-Smith model and functional data model (FDM) as well as Coherent FDM using non-parametric smoothing technique. We are then examine a reasonable model for projecting on mortality declined rate trend in terms of accuracy of mortality rate by ages and life expectancy. The possibility of using non-parametric techniques for the prediction of mortality in Korea was also examined. Based on the analysis results, FDM and Coherent FDM, which uses the non-parametric technique and reflects the trend of recent data, are excellent. As a result, FDM and Coherent FDM are good fit, and predictability is also excellent assuming no significant future changes.

• Health Policy and Management
• /
• v.25 no.4
• /
• pp.277-284
• /
• 2015

Background: This study investigates the relationship of socioeconomic status with adverse birth outcomes (low birth weight, preterm birth) and the relationship of socioeconomic status with infant mortality, using the birth cohort in Korea, 1995-2010. Methods: 8,648,035 births from National Statistics Offics, 1995-2010 were studied with respect to social variation in adverse birth outcomes and infant mortality in Korea. The effect of social inequality was examined against adverse birth outcomes and infant mortality using multivariate logistic regression after controlling for other covariates. Results: Social inequality were observed in adverse birth outcomes: low birth weight (LBW, 1,500-2,499 g), very LBW (1,000-1,499 g), and extremely LBW (500-999 g) as well as moderately preterm birth (PTB, 33-36 weeks), very PTB (28-32 weeks), extremely PTB (22-27 weeks), and infant mortality. The effect of social inequality was higher among moderately LBW (1,500-2,499 g) and PTB (33-36 weeks) than very or extremely LBW and PTB. Conclusion: The social inequality in adverse birth outcomes (low birth weight and preterm) and infant mortality existed and increased in Korea from 1995 to 2010. The effect of maternal education on adverse birth outcomes as well as infant mortality was apparent in the study results. Especially, social inequailiy in infant mortality was greater among the sub-normal births (low birth weight [1,500-2,499 g] or preterm birth [33-36 weeks]), which suggests, social interventions should aim at more among the subnormal births. This study suggest that tackling inequality in births as well as infant mortality should be focused on the social inequality itself.

• The Korean Journal of Applied Statistics
• /
• v.36 no.5
• /
• pp.447-455
• /
• 2023

COVID-19 is an emerging infectious disease that is hard to predict in terms of fatality rate, treatments, and the timing of its end. World is developing treatments and vaccines for COVID-19. Several treatments and vaccines currently have emergency use authorization, but the treatments are only allowed for critically ill patients with COVID-19. Therefore, the aim of this study is to analyze the confirmed cases of COVID-19, including mortality and testing, in OECD countries and to assess the effect of vaccination on mortality. Looking at the confirmed cases, mortality, and vaccination rates of COVID-19, the number of confirmed cases was lower than previously reported cases after full vaccination. In early 2022, with Omicron, the confirmed cases increased sharply, while mortality dropped, and the mortality showed a gentle curve as the cumulative fully vaccinated exceeded 50%. This indicates that COVID-19 vaccines have an effect on reducing mortality. However, the duration of effectiveness of vaccines was considerably short, which decreased the initial inoculation effect and increased the monthly mortality. As this study was carried out during the COVID-19 pandemic, there was not enough data to analyze comprehensively. However, it is meaningful to compare and analyze the impact of COVID-19 by country.

• Communications for Statistical Applications and Methods
• /
• v.4 no.1
• /
• pp.33-39
• /
• 1997

Tsutakawa(1988) proposed a mixed model for using empirical Bayes method to study the geographic variability in mortality rates of a disease. In particular cases of the analysis in mortality rate, we need to consider the effect of time. If observed data are collected annually for the time period, then time effect will be emphasized. Here, an extended model for estimating the geographic effect and the mortality rates of the disease with time effect is proposed.

• Women's Health Nursing
• /
• v.29 no.4
• /
• pp.348-356
• /
• 2023

Purpose: This study aims to analyze the number of suicide deaths in women, trends in suicide mortality, characteristics of suicide by age, and outcomes of suicide means over the past decade (2011-2021) in South Korea. Methods: Using cause of death data from Statistics Korea, an in-depth analysis of Korean women's suicide trends was conducted for the period of 2011-2021. Results: In 2021, women's suicide death in Korea was 4,159, a rate of 16.2 per 100,000 population. The rate increased by 1.4% from the previous year. Since 2011, women's suicide rate has been on a steady downward trend, but since 2018, it has been on the rise again. Suicide rates among women in their 20s and 30s have increased, especially since the coronavirus disease 2019 pandemic, and suicide rates among women over 70 years remain high. As compared to 2011, pesticide poisoning and hanging among the means of suicide have decreased significantly, while drug and carbon monoxide continue to increase. Conclusion: Suicide rates for Korean women in their 20s and 30s have increased significantly in recent years, and those for women over 70 years remain high. Therefore, it is necessary to investigate the causes and establish national policies for targeted management of these age groups, which contributes significantly to the rising suicide rate among Korean women.

• Journal of Preventive Medicine and Public Health
• /
• v.31 no.1 s.60
• /
• pp.82-90
• /
• 1998

A large number of studies have indicated associations between particulate air pollution and daily mortality. Daily measurements of total suspended particulates (TSP) by high volume air sampler were matched to daily death counts supplied by the National Statistics Office, Korea. All deaths, except deaths from accidents, occurred at Ulsan from 1 January 1991 to 31 December 1994 were considered in the poisson regression analysis. The multiple regression models were used to investigate a main effects of air particulate pollution controlling for $SO_2$ levels, air temperature, relative humidity, seasonal variation, and calendar year. The results indicated that the effects of TSP, $SO_2$, temperature, and relative humidity were not significantly associated with all cause mortality. It could, however, be emphasized that the size of the parameter estimate of TSP was very similar to that of previous studies. An increase in particulates of $100{\mu}g/m^3$ was associated with a 3% increase in mortality. This relationship was observed at TSP levels well below the current National Ambient Air Quality Standard of $150{\mu}g/m^3$ in Korea as well.