Predicting the level of marital satisfaction based on cognitive emotion regulation and quality of marital relations (a case study: married women in 22 districts hospitals of Tehran city)

Background and objective: Misunderstanding between couples in marital relationships leads to dissatisfaction and low quality of life. The main purpose of this study is predicting the level of marital satisfaction based on emotional cognitive regulation and quality of marital relationships.
Methods: The present study is an applied research in terms of purpose and non-random sampling (available) in terms of data collection method. The statistical population of this study is "married women in 22 districts of Tehran city in spring 2019" and according to Morgan table, the sample size is 384 people. Skewness and Kurtosis tests, Pearson correlation test and multiple-regression model were used in SPSS 23 software to analyze the questionnaire data of this research in the inferential statistics section.
Results: Findings of the research show that there is a significant relationship between marital satisfaction with positive cognitive emotional regulation and quality of marital relationships. Furthermore, a significant relationship between marital satisfaction and positive cognitive emotional regulation components is observed at the level of 0.004. The results of the third hypothesis show that there is a significant relationship between marital satisfaction and the components of marital quality at the level of 0.000.
Conclusion: The results of regression analysis for the main hypothesis of the study showed that cognitive emotional regulation has a high ability to predict marital satisfaction. According to the results, the regression analysis results showed that cognitive emotional regulation (positive) and the quality of marital relationships have a high ability to predict marital satisfaction.