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J Health Info Stat > Volume 39(2); 2014 > Article
J Health Info Stat 2014;39(2):77-90.
사망원인과 지역의 관련성에 관한 연구
조성인 , 김병수 , 전민수
A Study on the Relation between the Cause of Death and the Regions
Seong In Cho , Byung Soo Kim , Min Soo Jeon
This study aims to examine the relation between the cause of death and the regions.
It is examined what differences are in the cause of death based on regions and, if there are some differences, it is also examined in regard to regional characteristics focused on lift what the cause of death which has big differences is based on regions. Also, regional characteristics related to regional differences in the cause of death are traced out by using correlation coefficient. For the cause of death, the ones which are more than 10,000 among the ones which are applicable to the intermediate level for Korean Standard Classification of Diseases are examined and the regions are examined based on the unit of provincial governments and the one of municipal governments.
According to the result of analysis, lift for diabetes and suicide is the highest at Dongducheon-si and Siheung-si, respectively and it is also high at the regions where the rate of drinking alcohol and the one for early marriage and divorce are high. For the cause of death which has big differences based on regions, it is the death by heart disease as other systems and the lift is high at Gyeongnam regions. As a result of the correlation analysis performed for regional characteristics, correlation of variables for average temperature, the lowest temperature and the highest temperature is high. Also, probability to die of disease of respiratory system is high at the regions whose rate for the oldest is high. It is low at the regions with a great deal of precipitation.
We discovered the fact that there are causes to be discrepant on the basis of probability to die by region, and we can make a conclusion that a part of causes to die have a relationship to each regional characteristics such as atmospheric temperatures.
Key words: Lift, Cause of death, Correlation analysis, Korean standard classification of diseases
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