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Showing 2 results for Unemployment

A Souresrafil, M Hadian, H Ghaderi,
Volume 10, Issue 2 (9-2014)
Abstract

  Background & Objectives : In recent years, the World Health Organization has paid more attention to the relationship between health and social conditions as determining the factors affecting people's health in the society. Social health factors (conditions in which people are born, grow up, work, and become old, and also the health system available for them) have caused inequalities in health and require more attention in health development. The purpose of this research was to identify the determining social and economic factors which are effective in mortality in these selected countries during 1998-2009.

  Methods: Countries were divided into 3 groups based on the human development index and 10 countries out of each group were studied randomly. The dependent variable in this research was overall mortality and the explanatory variables were Gini coefficient, unemployment rate, per capita Health expenditure, and also the result of multiplication of per capita income and Gini coefficient. To evaluate and assess the data, the generalized method of moment by Eviews 6 was used.

 Results: The findings showed that the most determining elements affecting the mortality rate in countries with a very high human development index were Gini coefficient (0.02), unemployment rate (0.0001), and the variable obtained by multiplying the Gini coefficient by per capita income (-8.1*10-6). In countries with a high human development index, the most determining elements affecting the mortality rate were unemployment rate (0.005), per capita expenditure (-0.0002), and the variable obtained by multiplying Gini coefficient by per capita income (-3.22*10-6). Also, in countries with a medium human development index, the most determining elements affecting the mortality rate were per capita expenditure (-0.0008), and multiplication of Gini coefficient and per capita income (1.47*10-6).

  Conclusion: It can be concluded that based on the level of development of the countries, various economic and social factors can affect the mortality and health level of those countries. Therefore, it is necessary for the countries to plan for their health system if they wish to eradicate or reduce inequalities and injustices. This plan should be based on their level of development, the factors determining mortality, and the health system of those countries.


Fatemeh-Sadat Hosseini, Farzad Younesian, Masud Yunesian,
Volume 21, Issue 3 (12-2025)
Abstract

Background and Objectives: Infertility, as one of the most critical public health and reproductive issues globally, has extensive impacts on the physical, psychological, and social well-being of couples. Previous studies have shown that socioeconomic components, alongside biological variables, influence the occurrence and aggravation of infertility. We aimed to evaluate the relationship between some socioeconomic variables and prevalence of infertility at the province level.
Methods: This ecological study examined the relationship between infertility (dependent variable) and key socioeconomic indicators (independent variables) at the provincial level in Iran. Primary and secondary infertility defined using lifetime clinical, current clinical, and epidemiological definitions served as dependent variables. Statistical analysis employed univariate and multiple linear regression using the stepwise method, with a significance level of 0.05.
Results: Although numerous variables showed significant associations with infertility in simple regression models, only illiteracy and unemployment rates in the multiple regression model retained significant relationships with infertility. Furthermore, unemployment retained its significance only in epidemiological definition of primary infertility at the multiple model. Other variables lost their significance.
Conclusion: Provincial illiteracy rates emerged as the strongest predictor of infertility prevalence. Illiteracy is directly associated with infertility and also represents an important indicator of broader socioeconomic conditions. However, due to its ecological design, this study cannot distinguish between these two pathways.


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