درخت حوزه‌های تخصصی

Objective: The purpose of the present study was to examine the effect of lifestyle-based stress management program on emotional problems and life satisfaction in patients with myocardial infarction. Method: This research was quasi-experimental with pre-test, post-test and control group. The statistical population of this research consisted of all patients aged 40-65 years old with myocardial infarction who were under treatment at Kasra Hospital in Karaj in the first six months of 2019. The study sample consisted of 90 patients with heart attack who were identified among the patients and selected by targeted sampling method and randomly assigned to two experimental and control groups. Data were collected using the Depression, Anxiety and Stress Scale as well as the Satisfaction With Life Scale. The collected data were analyzed using the method of Multivariate analysis of covariance (MANCOVA). Results: Multivariate analysis of covariance showed that the lifestyle-based stress management program significantly reduced emotional problems and increased life satisfaction in the experimental group (p <0.01). Conclusions: The stress management program helped patients identify dysfunctional thoughts that trigger anxiety and depression and experience fewer emotional problems by feeling self-control, attention management, changing the assessment system and using cognitive strategies. Also, by identifying and correcting irrational attitudes and beliefs, the subjects were able to better cope with the physical effects of the disease or to deal with its negative psychological complications and have more life satisfaction. These findings have important implications for education and promoting mental health of patients with myocardial infarction.

Objective: One of the most important social factors that have been consistently identified as a predictor of healthy aging is marriage satisfaction. Therefore, the purpose of the present study was to investigate the effect of social support on marital satisfaction with mediating role of emotional loneliness and physical activity. Method: This study was descriptive and correlational based on structural equations. The statistical population consisted of all the elderly in the care centers of Shahrekord and Farsan in 2019, among whom 180 individuals were selected randomly. The participants filled out research instruments including Relationship Assessment scale (Hendrick, 1998), Perceived Social Support scale (Zimet, et al., 1988), Adult’s Social and Emotional Loneliness scale (DiTommasso, et al., 2004), and Leisure-time Activities scale (Godin, 1985). Structural equation modeling (SEM) was used through SPSS (version 23) and AMOS (version 23) software to analyze the data. Findings: The results demonstrated direct effect of social support, emotional loneliness and physical activity on marital satisfaction (p <0.001), and indirect effect of perceived social support on marital satisfaction through emotional loneliness and physical activity (p <.05). Conclusion: The SEM results of the current study support the proposed model which explains the interrelationships between perceived social support, loneliness, physical activity, and marital satisfaction. According to the findings of the present study, it is suggested to pay more attention to the variables of social support, emotional loneliness and physical activity in order to improve the marital relationships of the elderly. The findings of this study can help psychologists and other caretakers create more effective family matter programs for the older generations to enhance their marital satisfaction.

Objective: Today, work as a social identity plays an important role in success, health, and well-being. The purpose of this study was to investigate the relationship of self-determined motivation with psychological, life, and workplace well-being. Method: The participants of this study consisted of 246 employees of Marun Oil and Gas Producing Company in Khuzestan in 2020, who were selected by stratified random sampling method. The instruments used in the study were Multidimensional Work Motivation Scale (Gagné et al., 2015), and Employee Well-being Scale (Zheng et al., 2015). Canonical correlation and multiple regression analysis through SPSS-24 were used for data analysis. Results: Findings showed that among the three dimensions of self-determined motivation, autonomous motivation with a structural coefficient of 0.94 and among the components of employee well-being, workplace well-being with a structural coefficient of 0.99, had the maximum relationship with the first canonical variable resulting from independent and dependent variables. According to the results of simultaneous regression analysis, autonomous motivation was the most important predictor for psychological well-being (β=0.45, p=0.000), life well-being (β=0.30, p=0.001), and workplace well-being (β=0.45, p=0.000). Amotivation could predict workplace well-being (β= -0.34, p=0.000). However, controlled motivation could not predict any component of employee well-being. Conclusion: Based on the findings, autonomous motivation was the most important predictor of psychological, life, and workplace well-being. Therefore, it is recommended that organizations provide opportunity for development of this type of motivation.