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Background: There is a lack of Iranian studies on marital satisfaction, which is one of the important factors in the stability of marriage. Therefore, the present study aimed to evaluate the effects of sociodemographic variables on marital satisfaction. Methods: This analytical and cross-sectional study was conducted on 770 married people from Gonabad City, Northeast of Iran. The simple random sampling method was used. Also, the ENRICH marital satisfaction scale was used to measure marital satisfaction as a dependent variable. A cut-off score of 100 was considered for the scale, with higher scores indicating satisfaction. Moreover, the logistic regression model was used to examine the effects of the variables on marital satisfaction. Results: The Mean±SD age of the participants was 39.2±10.6 years. Most of the participants (75%) were categorized as satisfied, with a Mean±SD score of 113.9±26.8. Besides, both univariate and multiple regression analyses showed a strong significant relationship between economic status and marital satisfaction, ie, a better economic status increased the odds of marital satisfaction. After controlling other investigated variables, the logistic regression model showed that men are about two times more likely than women to be satisfied with their marriage (adjusted odds ratio=1.82). Conclusion: The present findings showed that family income and gender positively influence marital satisfaction. Accordingly, marital satisfaction and family solidarity could be enhanced by the provision of legal and social rules to ensure the equal right of men and women, as well as attempts to improve the economic status of the families. [ABSTRACT FROM AUTHOR]

Background: The main purpose of this study was to investigate the effect of the PRECEDE model and health locus of control (HLC) on postpartum depression. This study used the path analysis to test the pattern of causal relations through the correlation coefficients. Materials and Method: The participants included 230 pregnant women in the north-east of Iran who were selected by convenience sampling. To analyze data, Pearson correlation and path analysis were applied to examine the relationships between variables using SPSS 20 and LISREL 8.50software. Results: The result of path analysis showed that a positive correlation exists between predisposing (knowledge, internal HLC, powerful others HLC, chance HLC) enabling and reinforcing factors with postpartum depression by GHQ score (GFI = 1, RSMEA = 000). Conclusion: The current study supported the application of the PRECEDE model and HLC in understanding the promoting behaviors in mental health and demonstrated their relationships with postpartum depression. [ABSTRACT FROM AUTHOR]