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Factors Associated with Healthy Life Expectancy: An Ecological Analysis of Global Data
Research Journal of Medical Sciences ; 16(1):1-8, 2022.
Article in English | EMBASE | ID: covidwho-1848771
ABSTRACT
Healthy life expectancy (HALE) measures the quality of life a person expects to live. This study aims to find out the most associated factors of HALE at birth globally. The data of 212 countries came from the World Health Organization, Worldometer, World Bank, and United Nations. HALE at birth is considered as the dependent variable;and social, economic, and health factors are considered as the predictors. Descriptive statistics, Pearson’s correlation analysis, and multiple linear regression models were used as the statistical tools to reach the objective. The results revealed that HALE is found lower in Central African Republic and higher in Singapore. The highest death rate due to coronavirus disease 2019 (COVID 19), alcohol consumption rate, human immunodeficiency virus (HIV) prevalence rate, and average household size are found in Nicaragua, Moldova Republic, Eswatini, and Senegal, respectively. And the lowest recovery rate from COVID 19, and universal health coverage (UHC) service index are found in Tajikistan, and Montserrat, respectively. The recovery rate from COVID 19, UHC service index, gross domestic product (GDP), current health expenditure, tuberculosis (TB) incidence, tobacco smoking, HIV prevalence rate and average household size were significantly correlated with the HALE at birth. The multiple linear regression models identified that the UHC service index, alcohol consumption rate, HIV prevalence rate and average household size are the most associate factors of HALE at birth globally. Therefore, the necessary steps should be taken to maximize the UHC service index, and to minimize the alcohol consumption rate, HIV prevalence rate and average household size for increasing the HALE at birth in the world.
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Collection: Databases of international organizations Database: EMBASE Language: English Journal: Research Journal of Medical Sciences Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EMBASE Language: English Journal: Research Journal of Medical Sciences Year: 2022 Document Type: Article