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Life Expectancy and its Socioeconomic Determinants in Iran

INTRODUCTION: Life expectancy at birth (LEB) is closely associated with the degree of economic and social development in developed and developing countries. This study aimed to examine the socioeconomic factors affecting LEB in Iran from 1985 to 2013. METHODS: Time series analysis was used to examin...

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Autores principales: Delavari, Somayeh, Zandian, Hamed, Rezaei, Satar, Moradinazar, Mehdi, Delavari, Sajad, Saber, Ali, Fallah, Razieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Electronic physician 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133029/
https://www.ncbi.nlm.nih.gov/pubmed/27957304
http://dx.doi.org/10.19082/3062
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author Delavari, Somayeh
Zandian, Hamed
Rezaei, Satar
Moradinazar, Mehdi
Delavari, Sajad
Saber, Ali
Fallah, Razieh
author_facet Delavari, Somayeh
Zandian, Hamed
Rezaei, Satar
Moradinazar, Mehdi
Delavari, Sajad
Saber, Ali
Fallah, Razieh
author_sort Delavari, Somayeh
collection PubMed
description INTRODUCTION: Life expectancy at birth (LEB) is closely associated with the degree of economic and social development in developed and developing countries. This study aimed to examine the socioeconomic factors affecting LEB in Iran from 1985 to 2013. METHODS: Time series analysis was used to examine the effects of key explanatory factors (GDP per capita, number of doctors per 10,000 population, degree of urbanization, food availability, CO2 emission, total fertility rate, inflation rate, and literacy rate) on LEB in Iran from 1985 to 2013. Study data were retrieved from the Central Bank of Iran (CBI), Iranian Statistical Center (ISC), and World Bank. Augmented Dickey Fuller (ADF) and Banergy, Dolado, and Master (BDM) tests, Engle Granger approach, and an ordinary least-square (OLS) model were used to achieve the aim of the study. Data analysis was performed by Stata V.12 software. RESULTS: Our findings indicated that GDP per capita (p=0.003), number of doctors per 10,000 population (p=0.036), literacy rate (p=0.0001), and food availability (p=0.0001) have a positive and significant statistically effect on LEB. The relationship between total fertility rate and LEB was negative and significant (p=0.023). In addition, the effect of degree urbanization (p=0.811), CO2 emission (p=0.185), and inflation rate (p=0.579) on LEB were not significant. CONCLUSION: GDP per capita, number of doctors per 10,000 population, food availability, literacy rate, and total fertility were identified as the main factors affecting life expectancy in Iran. The study, however, suggests that life expectancy in Iran could be improved if attention is given to factors that reside outside of the health sector.
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spelling pubmed-51330292016-12-12 Life Expectancy and its Socioeconomic Determinants in Iran Delavari, Somayeh Zandian, Hamed Rezaei, Satar Moradinazar, Mehdi Delavari, Sajad Saber, Ali Fallah, Razieh Electron Physician Original Article INTRODUCTION: Life expectancy at birth (LEB) is closely associated with the degree of economic and social development in developed and developing countries. This study aimed to examine the socioeconomic factors affecting LEB in Iran from 1985 to 2013. METHODS: Time series analysis was used to examine the effects of key explanatory factors (GDP per capita, number of doctors per 10,000 population, degree of urbanization, food availability, CO2 emission, total fertility rate, inflation rate, and literacy rate) on LEB in Iran from 1985 to 2013. Study data were retrieved from the Central Bank of Iran (CBI), Iranian Statistical Center (ISC), and World Bank. Augmented Dickey Fuller (ADF) and Banergy, Dolado, and Master (BDM) tests, Engle Granger approach, and an ordinary least-square (OLS) model were used to achieve the aim of the study. Data analysis was performed by Stata V.12 software. RESULTS: Our findings indicated that GDP per capita (p=0.003), number of doctors per 10,000 population (p=0.036), literacy rate (p=0.0001), and food availability (p=0.0001) have a positive and significant statistically effect on LEB. The relationship between total fertility rate and LEB was negative and significant (p=0.023). In addition, the effect of degree urbanization (p=0.811), CO2 emission (p=0.185), and inflation rate (p=0.579) on LEB were not significant. CONCLUSION: GDP per capita, number of doctors per 10,000 population, food availability, literacy rate, and total fertility were identified as the main factors affecting life expectancy in Iran. The study, however, suggests that life expectancy in Iran could be improved if attention is given to factors that reside outside of the health sector. Electronic physician 2016-10-25 /pmc/articles/PMC5133029/ /pubmed/27957304 http://dx.doi.org/10.19082/3062 Text en © 2016 The Authors This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Original Article
Delavari, Somayeh
Zandian, Hamed
Rezaei, Satar
Moradinazar, Mehdi
Delavari, Sajad
Saber, Ali
Fallah, Razieh
Life Expectancy and its Socioeconomic Determinants in Iran
title Life Expectancy and its Socioeconomic Determinants in Iran
title_full Life Expectancy and its Socioeconomic Determinants in Iran
title_fullStr Life Expectancy and its Socioeconomic Determinants in Iran
title_full_unstemmed Life Expectancy and its Socioeconomic Determinants in Iran
title_short Life Expectancy and its Socioeconomic Determinants in Iran
title_sort life expectancy and its socioeconomic determinants in iran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133029/
https://www.ncbi.nlm.nih.gov/pubmed/27957304
http://dx.doi.org/10.19082/3062
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