درخت حوزه‌های تخصصی

Objective: The use of cohesive devices makes discourse comprehend. However, in the discourse of senile dementia of the Alzheimer's type (SDAT) participants, the lack of the use of cohesive devices hinders effective communication. The present study aims to investigate cohesion in the discourse of SDAT participants. Understanding how these people manage their interactions may lead to suitable approaches for them. Method: The methodology of this quantitative research was ex post facto type. The present study has been performed in one of the nursing home in Kermanshah in 2019. And also, the statistic population of this study included 20 participants (10 SDAT participants and 10 normal elderly participants (NE)) who were matched based on age (63-75 years old), gender, illiteracy, and Kurdish language (Kalhori dialect) speaker. To determine the severity of dementia, the Clinical Dementia Rating Scale (CDR) was performed. Then, the collected interviews were transcribed and coded. The data were analyzed based on Halliday and Hasan's theory (1976) and independent t-test was used to obtain the statistic results. Results: The findings indicate significant differences between groups using grammatical cohesive devices, such as reference (p=0.006), conjunction (p=0.004), ellipsis (p=0.007), and substitution (p=0.426) and lexical cohesive devices such as the same word (p=0.006), synonym (p=0.012), superordinate (p=0.001), general word (p=0.002), and collocation (p=0.387). Conclusion: The results show that grammatical and lexical cohesive devices are used less in the discourse of SDAT Kurdish speakers. However, in the discourse of both SDAT and NE groups, grammatical cohesive devices have more frequency than lexical cohesive devices.

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.

Background: The Coronavirus not only affects physical health, but the outbreak of this virus can also have devastating psychological effects. To treat and diagnose, these impacts should be identified. This study aimed to investigate the role of Perfectionism and Self-compassion in predicting Coronavirus anxiety. Method: The sample consisted of 292 participants who responded online to the Coronavirus Anxiety Inventory, the Hewitt and Flett Multidimensional Perfectionism Scale (HF-MPS), and Self-Compassion Scale-Short Form (SCS-SF). Data were analyzed by correlation and multiple regression analysis. Results: The results have shown that the dimensions of perfectionism, and Self-compassion, predict Coronavirus anxiety (P <0.001). Also, Mindfulness and Common humanity, from Self-compassion components, could predict Coronavirus anxiety significantly (P <0.001). Conclusion: These findings indicate that Perfectionism is effective in exacerbating Coronavirus anxiety, and Self-compassion is effective in modulating it. These variables can play an important role in general health policies, the diagnosis, prevention, and treatment of Coronavirus anxiety.