Influence of Key Health Related Indicators on Adult Mortality: Result from UN Member Countries

  • Chhabi Lal RANABHAT Institute for Poverty Alleviation and International Development, Yonsei University, Wonju, Gangwon-do, Korea.Health Science Foundations and Study Center, GPO–44600, Kathmandu, Nepal Manmohan Institute of Health Science, Kathmandu, Nepal
  • Myung-Bae PARK Dept. of Gerontal Health and Welfare, Pai Chai University, College of Howard, Daejeon, Korea
  • Chun-Bae KIM Institute for Poverty Alleviation and International Development, Yonsei University, Wonju, Gangwon-do, Korea.Dept. of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju, Gangwon-do, Korea
  • Chang-Soo KIM Institute for Poverty Alleviation and International Development, Yonsei University, Wonju, Gangwon-do, Korea.Dept. of Business Administration, College of Government and Business, Yonsei University, Wonju, Gangwon-do, Korea
  • Hyoung-Sun JEONG Dept. of Health Administration, Yonsei University, Wonju, Gangwon-do, Korea
  • Sang Baek KOH Dept. of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju, Gangwon-do, Korea
  • Sei-Jin CHANG Dept. of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju, Gangwon-do, Korea
Keywords: Adult mortality rate, Health indicators, Universal health coverage, Record linkage

Abstract

Background: Adult mortality is associated with different demographic and behavioral risk factors including approaches to health care financing. Adult mortality rate significantly reflects the effectiveness of public health-related program and intervention. The aim of this study was to find strength of association between key health's related indicators and adult mortality rate. Methods: This cross-sectional study used 5 sets of data combined into one from different organizations of 193 countries using record linkage theory. Eleven key health-related indicators were taken as independent variables and adult mortality of male and female were dependent variables from 2010 to 2013. Average mortality for male and female was shown by means and standard deviations, raw association by Pearson correlation and strength of association by hierarchical linear regression. Results: The average adult mortality rate (AMR) of male was 0.209±0.106 and of female, 0.146 ±0.105 in years. In raw correlation, almost all health indicators were associated with AMR of male and female. In regression analysis, Universal Health Coverage (UHC) significantly reduced (male ~0.43, female ~0.30) adult mortality, in contrast, population growth significantly increased (male ~ 0.37, female ~0.43). Alcohol consumption per year increased AMR in male by 0.41 (P<0.01) and vaccination coverage (DPT 3) significantly reduced the AMR (0.26) in female. Conclusion: It is necessary to extend the UHC in remaining countries and still a need to control the population where there is high population growth. Effectively control of alcoholic drink in male and full coverage of vaccination in childhood mitigates adult mortality. The UHC is ambitious goal for SDG and special attention should be provided nationally and globally    

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Published
2018-06-20
How to Cite
1.
RANABHAT CL, PARK M-B, KIM C-B, KIM C-S, JEONG H-S, KOH SB, CHANG S-J. Influence of Key Health Related Indicators on Adult Mortality: Result from UN Member Countries. IJPH. 47(6):794-02.
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Original Article(s)