Search published articles


Showing 2 results for Socioeconomic Factors

ُsm Hosseini Shokouh, M Arab, S Emamgholipour, M Meskarpour Amiri ,
Volume 16, Issue 4 (3-2021)
Abstract

 
Background and Objectives: Understanding and analyzing the socio-economic factors affecting mental health is important for mental health policy-making in metropolitan areas. The aim of this study was to investigate the relationship between socio-economic factors and mental health of households living in Tehran.
 
Methods: This cross-sectional descriptive-analytical study was conducted on 650 households from 22 districts of Tehran using mixed sampling method. Mental health measures were collected using the standard SF-36 questionnaire and socioeconomic measures of the household were collected using a researcher-made questionnaire. The face validity of the questionnaire was measured by qualitative method and its content validity was confirmed by quantitative method. The test-retest method was used to test the questionnaire reliability. Regression models were estimated using ordinary least squares (OLS) and weighted least squares (WLS) methods. The Stata software was used for data analysis.
 
Results: Among the socioeconomic variables, four variables including years of education, health behaviors (regular physical activity, healthy eating habits), not-smoking, and social capital had a positive and significant relationship with all mental health measures (social role, emotional role, mental health and vitality ). The relationship between not-smoking and all mental health measures was more than other socioeconomic variables (P <0.05).
 
Conclusion: Mental health policymakers should place extra emphasis on the development of social capital in metropolitan cities, promotion of the citizens' health behaviors, and particularly on tobacco use and the related behavioral disorders.
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.


Page 1 from 1     

© 2026 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by : Yektaweb