Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 47 6 2018 06 20 794 802 Chhabi Lal RANABHAT Institute for Poverty Alleviation and International Development, Yonsei University, Wonju, Gangwon-do, Korea. AND 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. AND 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. AND 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 2018 06 20 2018 06 20 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     https://ijph.tums.ac.ir/index.php/ijph/article/view/13754 https://ijph.tums.ac.ir/index.php/ijph/article/download/13754/6008