• Korea journal of population studies
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• v.26 no.1
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• pp.1-30
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• 2003

This paper attempts to explore the effects of ecological and socioeconomic factors on the level of mortality and the changing trends of such effects during the period of 1990∼2000. For this purpose the population census data and micro-data from the vital statistics for years 1990, 1995 and 2000 were used. As indicators of mortality, the crude death rate(CDR), the standardized death rate(SDR) and the longevity rate were calculated for 170 'Si' s and 'Gun's. Using GIS, this paper first presents the mortality and longevity maps for years 1990, 1995 and 2000. Then ANOVA and regression analyses are carried out in an effort to generalize the effects of ecological and socioeconomic factors on the CDR, the SDR and the longevity rate. When the mortality and longevity maps are examined, three indices of mortality are found to be markedly high in the southwest coastal regions of Cholla-Nam-Do. By contrast, Seoul and Pusan metropolitan areas show substantially low level of mortality and longevity in these indices. It is also found that the regional differentials in the SDR and the longevity rate show a trend of becoming smaller after 1990. The research, however, does not find any linear relationship between the SDR and the longevity rate. The causal mechanisms of the two indices are found to be different. The results of the ANOVA and the regression analysis reveal that the locational factors of both mountainous and farming regions tend to increase the CDR and SDR while both coastal and farming regions disclose a tendency of increasing the longevity rate. The level of statistical significance of these analytical results is found to be weaker when socioeconomic factors such as education, income, marital status, availability of medical care, and sanitary conditions of the region are taken into account. The regional differentials in the mortality level seem to have a clear relationship not only with the socioeconomic factors but also with the age structure influenced by the age selectivity of migration during the past 40 years.

• Journal of the Korean Data and Information Science Society
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• v.8 no.2
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• pp.153-161
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• 1997

A Korean exporience life table(male) is constructed by using a mixture of weighted moving average(WMA) model and Gompertz' parametric survival model based on 25,000,000 insured of major 6 life insurance companies from 1988 to 1992. The graduated values are taken as those which minimize the composite measure of fittness and smoothness. Moreover, we propose closed form estimators for three parameters of Gompertz' model.

• Journal of the Korean Geographical Society
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• v.51 no.3
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• pp.367-380
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• 2016

This study reviewed and compared methods for mapping aggregated low birth weight (LBW) and geographic variations in LBW in South Korea. Based on this review, we produced LBW maps in South Korea. Standardized mortality/morbidity ratios (SMRs) and crude mortality rates have been widely used for many years in epidemiological research. However, SMR-based maps are likely to be affected by sample size of unit area. Therefore, this study adopted a model-based approach using Bayesian estimates to reduce noisy variability in the SMR. By using a Bayesian model, we can calculate a statistically reliable RR values. We used the full Bayes estimator, as well as empirical Bayes estimators. As a result, variations in the two Bayes models were similar. The SMR-based statistics had the largest variation. The result maps can be used to identify regions with a high risk of LBW in South Korea.

• Journal of Preventive Medicine and Public Health
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• v.25 no.2 s.38
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• pp.115-126
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• 1992

To estimate the cancer mortality rates among Koreans, a mortality survey was carried out in the province of $Ky{\breve{o}}ngsangnam-do$. The study population are the beneficiaries of Korea Medical Insurance Corporation(KMIC), $Ky{\breve{o}}ngsangnam-do$ area, among which the 3,867 deaths occurred from January, 1989 to December, 1990, were reviewed to confirm the cancer deaths. These were based upon the death certificates and medical utilization records before dying which were available through the computerized databases on medical care utility of KMIC. The survey was conducted along three steps. At first, the death certificates were examined, as a second step medical utilization records were reviewed, and finally direct contacts to the family members of the deceased were done. As a result, 990 deaths were found due to cancer. Using them, age and sex specific cancer(all sites and several sites) mortality rates were estimated. Overall cancer mortality rate in the area was estimated 138.7 per 100,000 person-years in males, and 65.7 in females, respectively. And the orders of site-specific cancer mortality rates were the cancers of stomach, liver, lung, esophagus, and cancers of the hematopoietic system among males, In females, followed by gastric cancer, cancers of lung and liver are the 2nd and 3rd in rank, respectively and cancers of breast and uterine cervix are the 4th and the 5th in rank.