economic factors influencing mental health using multiple regression model in ilam province of iran

background: mental disorder is one of the most important diseases of which is predicted to increase from 10.5% to 15% until 2020. this study aimed to determine economic factors influencing mental health using multiple regression models in ilam province in 2013. methods: in this cross sectional study, 903 families from different cities of ilam were selected using multistage cluster sampling. the families were selected from each city separately and each head of family was interviewed. the instruments for data collection included general and economic questionnaires and the general health questionnaire (ghq). the data were analyzed using spss software version 21, eviews, t-test, anova, pearson's correlation coefficient, single and multiple linear regressions. results: the mean ± sd mental health score in this study was 28.5±12.10. the mental health increased for 4.26 units per each unit of life satisfaction increase, decreased for 4.09 units per each unit of gender growth, increased for 2.94 units per each unit of increase in economic status and had a significant correlation with all the three components (p< 0.001). conclusion: in order to improve people's mental health, it is recommended that healthcare officials may more attention to this matter through implementation of programs such as life skills’ training, stress resistance skills training, and helping individuals to be able to adapt themselves to their life environment.