Volume 21, Issue 3 (Vol.21, No.3, Autumn 2025)                   irje 2025, 21(3): 196-209 | Back to browse issues page

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Hosseini F, Younesian F, Yunesian M. Association of Infertility with Socioeconomic Indicators in Iran: An Ecological Study. irje 2025; 21 (3) :196-209
URL: http://irje.tums.ac.ir/article-1-7513-en.html
Association of Infertility with Socioeconomic Indicators in Iran: An Ecological Study
Fatemeh-sadat Hosseini1 , Farzad Younesian2 , Masud Yunesian *3
1- Assistant Professor of Reproductive Biology, Department of Obstetrics and Gynecology, Golestan University of Medical Sciences, Gorgan, Iran
2- Master of Science in Civil Engineering, Holoo Information Technology Group, Tehran, Iran
3- Professor of Epidemiology, Center for Air Pollution Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran AND Professor of Epidemiology, Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran , yunesian@tums.ac.ir
Abstract:   (620 Views)
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.
Keywords: Infertility, Illiteracy, Unemployment, Ecological study, Socioeconomic factors
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Type of Study: Research | Subject: Epidemiology
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