فهرست مطالب فرامرز مروتی

Since the elderly are mostly exposed to sleep problems due to old age, this study aimed to predict the quality of sleep in elderly based on psychological hardiness and happiness variables. It was a descriptive-correlational study. To do this, a sample of 120 people was selected among all non-resident elderly people in Kermanshah elderly Homes in 2018 using convenience sampling method. The research instruments included Haddad et al. psychological hardiness questionnaire, oxford happiness questionnaire and Pittsburgh sleep quality questionnaire.The collected data were analyzed by SPSS software version 22 using Pearson correlation and regression analysis. The results suggested correlation coefficients of 0.44, 0.47 and 0.38 between the components of psychological hardiness (control, commitment and challenge) and sleep quality, respectively. Also, there was a correlation of 0.56 between happiness and sleep quality (P<0.001). Therefore, it can be said that psychological hardiness and happiness can predict %49 of the quality of sleep in the elderly. Considering the results, it was suggested that health professionals, especially those associated with the elderly, could pay a particular attention to the important role of such variables as happiness.

Since families play an important role in mental health of adolescents. So the current study was done for investigate Prediction of stress, anxiety and depression in adolescents based on marital forgiveness and family cohesion.

The study was descriptive - correlation. The sample was concluding all of high school students in Kermanshah city, that among those was selected a sample with 360 people. For variable measuring were used DASS, family cohesion scale and marital forgiveness scale. Pearson correlation coefficient and multivariate regression analysis was used to data analyses.

The research results indicate this. Marital forgiveness variables and family cohesion can predict 51% of mental health changes. Also, marital forgiveness and family cohesion can predict stress, anxiety and depression with an effect coefficient of 0.49, 0.26 and 0.39, respectively, and there is a significant negative correlation between them (P <0.001) has it.

Due to the role of family cohesion and marital forgiveness in predicting mental health (stress, anxiety and depression) of adolescents, it is suggested that families It is important to note that they have a significant role in the future of their children, as well as mental health professionals, consider these components to improve the quality of mental health of adolescents and put them on the agenda.

Social anxiety is one of the major psychological challenges in adolescents' social relationships that could lead to many problems.  This study aimed at predicting social anxiety based on mindfulness, experiential avoidance, and meta-cognitive beliefs among adolescents in Kermanshah, Iran.

A descriptive-correlational study was performed and the statistical population included all students (male and female) in public high schools in Kermanshah, during 2017-2018 academic year. A sample of 480 people was selected and finally 406 subjects were studied. Social Phobia Inventory, Mindfulness Questionnaire (MQ), metacognitive beliefs (MCQ-30), and Experiential Avoidance Scale were used to collect the data. Pearson correlation coefficient and multiple regression analysis were applied to analyze the data.

Pearson correlation test showed significant correlations between mindfulness and social anxiety, metacognitive beliefs, and experiential avoidance (P <0.001). Regression analysis showed that these factors could predict 40% of changes in social anxiety (P< 0.001).

Considering the role of metacognitive beliefs, experiential avoidance and mindfulness in predicting social anxiety, counselors and therapists are recommended to use acceptance and commitment therapy (ACT) and teaching metacognitive beliefs to adolescents in order to reduce social anxiety levels in this population.