Predicting the mental health of married women based on individual and family components

Abstract

Aim: This study aimed to determine the predictive contribution of individual and family components to the mental health of married women. Method: The present study is a descriptive and correlational study and the statistical population of the study was all married women in Shiraz in 1398. From the statistical population, 400 married women were selected and studied by one-stage cluster sampling. To collect data from Goldberg (1982) General Health Questionnaire, Cooper-Smith Self-Esteem Questionnaire (1967), Scherer et al. (1981) Self-Efficacy (LSQ), Neo Personality Traits, Process and Content of Samani Family (2008), And communication patterns of Fitzpatrick and Ritchie (1994) family were used. After collecting and extracting data, participants' scores were analyzed using Pearson correlation coefficient and multiple regression analysis. Results: The results showed that there is a significant relationship between individual and family components with mental health in married women. The results also showed that the dimensions of individual components (self-esteem, self-efficacy, lifestyles) and dimensions of family components (family process and content, spouse personality, and family communication patterns) significantly have the power to predict mental health in married women. Conclusion: Self-esteem, self-efficacy, and lifestyles can predict mental health and by improving the process and content of the family and communication patterns in families, we can see an increase in mental health in family members.