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Research Paper | Statistics | Turkey | Volume 7 Issue 3, March 2018 | Popularity: 6.6 / 10

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A New Statistical Perspective to Life Expectancy Data for the Countries Having Longest Lifetimes as an Indicator of Public Health by Multivariate General Linear Model Approach

Neslihan Iyit

Abstract: The aim of this study is to evaluate life expectancy data as an indicator of public health for the countries reported by World Health Organization (WHO) as having the longest lifetimes such as Iceland, Switzerland, Australia, Israel, Singapore, New Zealand, Italy, Japan, Sweden, Luxemburg, Spain, France, Republic of Korea, and Portugal by multivariate general linear model (GLM) approach. In this study life expectancy at birth, life expectancy at age 60, and healthy life expectancy at birth data of these countries are taken as multiple dependent variables measures. In this study, statistically significant risk factors that affect life expectancy for these countries having the longest lifetimes are determined by using multivariate GLM approach. After conducting this technique, average longest lifetimes belonging to these multiple dependent variables are computed in the aspect of the statistically significant risk factors for these countries. Average longest lifetimes for life exp. , life exp. at 60, and healthy life exp. of the countries taken into the study are determined as 84.7, 26.7, and 74 years for prevalence of raised fasting blood glucose, 84.27, 26.36, and 74.27 years for prevalence of raised blood pressure, 82.7, 25.1, and 73.6 years for prevalence of obesity, 84.85, 26.92, and 74.76 years for mortality rate from cardiovascular diseases, 85.1, 27.2, and 74.9 years for mortality rate from cancer, 83.58, 25.74, and 73.53 years for alcohol consumption, respectively, as the main findings of this study.

Keywords: Life expectancy, public health, World Health Organization, multivariate general linear model

Edition: Volume 7 Issue 3, March 2018

Pages: 1542 - 1552

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