• Title/Summary/Keyword: 사망의 원인

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Association Between Liver Enzyme and Risk of All-Cause Mortality: Use of Korean Genome and Epidemiology Study (KoGES) Data (간 효소(AST, ALT)와 전체원인사망 위험의 관련성: 한국인유전체역학조사 자료 활용)

  • Lee, Tae-Yong;Ryu, Hyo-Sun;Park, Chang-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.94-103
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    • 2016

  • This study was conducted to investigate the association of serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) with all-cause mortality among populations. The data used were from a Korean Genome and Epidemiology Study (KoGES) based on health examinations and questionnaires. The subjects consisted of 10,110 persons aged 40 and over. Hazard ratio was analyzed using Cox's proportional hazard model. The hazard ratio of AST (${\geq}50.0\;IU/L$) was 2.198 (95% CI: 1.217-3.971) after being adjusted for age, sex, education, regular exercise, smoking, drinking, WHR, and TG. In conclusion, AST was an independent significant risk factor of all-cause mortality, and ALT showed a tendency to increase. Overall, these findings indicate that AST and ALT may be useful tools for predicting mortality.

  • https://doi.org/10.5762/KAIS.2016.17.11.94 인용 PDF KSCI

Analysis of Mortality Cause and Properties using Medical Big Data in Gangwon (의료 빅데이터를 활용한 강원도 사망 원인 및 특성 분석)

  • Jeong, Dae-hyun;Kwon, O-young;Koo, Young-duk
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.149-155
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    • 2018

  • Due to the rapid development of medical information, vast amounts of medical data are accumulating, and such medical data is highly likely to be used as an important data for solving the aging population and the rapid rise in medical cost. Especially in Korea, there are resident registration numbers and computerized usage data for all citizens, so it can be superior to other countries in terms of medical infrastructure that can utilize big data. The purpose of this study was to analyze the factors affecting the mortality and death rate of Gangwon using the Big Data and the National Statistical Office data centered on Kangwon province. As a result of analysis, major variables related to the mortality rate of Gangwon were hospital infrastructure utilization rate, income level, aging population and population density. Therefore, inequalities due to income disparities and insufficient local medical infrastructures were affecting the local mortality rate, and policy support was needed to improve the local hospital infrastructure and income level. The results of this study were meaningful in that medical big data were used to analyze the deaths of people in Gangwon, and the causes of the deaths were analyzed through various social indicators and correlation analysis.

  • https://doi.org/10.5392/JKCA.2018.18.09.149 인용 PDF KSCI