What Factors Affect Mortality over the Age of 40?

40세 이후의 사망에 영향을 주는 요인에 관한 코호트내 환자-대조군 연구

  • Park, Jong-Ku (Department of Preventive Medicine, Yonsei University Wonju College of Medicine) ;
  • Koh, Sang-Baek (Department of Preventive Medicine, Yonsei University Wonju College of Medicine) ;
  • Kim, Chun-Bae (Department of Preventive Medicine, Yonsei University Wonju College of Medicine) ;
  • Park, Kee-Ho (Department of Preventive Medicine, Yonsei University Wonju College of Medicine) ;
  • Wang, Seung-Jun (Department of Preventive Medicine, Yonsei University Wonju College of Medicine) ;
  • Chang, Sei-Jin (Department of Preventive Medicine, Yonsei University Wonju College of Medicine) ;
  • Sin, Soon-Ae (National Health Insurance Corporation) ;
  • Kang, Myung-Guen (Graduate School of Health Science and Management, Yonsei University)
  • 박종구 (연세대학교 원주의과대학 예방의학교실) ;
  • 고상백 (연세대학교 원주의과대학 예방의학교실) ;
  • 김춘배 (연세대학교 원주의과대학 예방의학교실) ;
  • 박기호 (연세대학교 원주의과대학 예방의학교실) ;
  • 왕승준 (연세대학교 원주의과대학 예방의학교실) ;
  • 장세진 (연세대학교 원주의과대학 예방의학교실) ;
  • 신순애 (국민의료보험관리공단) ;
  • 강명근 (연세대학교 보건대학원)
  • Published : 1999.09.01

Abstract

Objectives: This study was conducted to identify the factors influencing the mortality of Koreans over the age of 40 by a nested case-control study. Methods: The cohort consisted of the beneficiaries of Korea Medical Insurance Corporation for Government Employees & Private School Teachers and Staff(KMIC) who received health examinations of KMIC in 1992 and 1993 retrospectively. At that time, they were more than 40 years old. The cases were 19,258 cohort members who had died until December 31, 1997. The controls were 19,258 cohort members who were alive until December 31, 1997. Controls were matched with age and sex distribution of the cases. The data used in this study were the funeral expenses requesting files, and the files of health examinations and health questionnaires gathered in 1992 and 1993. To assess the putative risk factors of death, student t-test, chi-square test, multiple logistic regression analysis were used. Results : In multiple logistic regression analysis, independent risk factors of death were as follows; systolic blood pressure, diastolic blood pressure, blood glucose, AST, urine glucose, urine protein, alcohol drinking(frequency), cigarette smoking and perceived health status, intake of restoratives and blood transfusion showed positive associations with death; coffee consumption showed negative associations with death; and body mass index and serum total cholesterol showed J-shaped association with death. Conclusions: Regarding the direction of association, the result of analysis on the data restricted to '96-'97 was same as that of '93-'97. But in some variables such as obesity, serum cholesterol, the odds ratios of death in the data of '96-'97 were higer than those of '93-'94, which suggested that the data of '93-'94 was bearing effect-cause relationship. We concluded that it suggested further researches using long-term follow-up data to be needed in this area.

공 교의료보험 적용대상자들 중 1992년 건강검진 수검 피보험자와 1993년 건강검진 수검 피부양자를 대상으로 사망에 영향을 미치는 요인에 관한 코호트내 환자-대조군 연구를 실시한 결과는 다음과 같다. '93-'97년도 자료의 분석에서 사망과 정상관 관계를 보인 변수는 수축기 혈압, 이완기 혈압, 혈당, AST, 요당, 요단백, 음주('자주 마신다'), 흡연, 건강인지, 영양제 복용, 수혈이었다. 사망과 역상관 관계를 보인 변수는 커피 음용이었다. 비만도와 혈중 콜레스테롤은 사망과 J형의 상관관계를 보였다. '96-97년 자료만을 이용하여 분석한 경우도 '93-'97년 자료와 관련성의 방향은 동일하였으나, 비만$(25-30kg/m^2)$과 콜레스테롤(240 mg/dL이상)의 사망 예방효과는 '93-'97년 자료에 비해 '96-'97년 자료에서 감소함으로써 '93-'94년 자료에 결과-원인 관계가 일부 개재되었을 가능성을 배제할 수 없었다.

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