درخت حوزه‌های تخصصی

Background: The aim of the present study was to predict cognitive failures in the elderly based on personality dimensions and lifestyle and examine the mediating role of negative emotions as a model. Materials and Methods: This research is of correlation type and its statistical population included all the elderly in Tehran. In the present study, 150 elderly persons participated by convenience sampling method. Research instruments were cognitive failures, Eysenck Personality Inventory, lifestyle scale and Negative emotions. In order to analyze the data, the path analysis and stepwise regression analysis were used. Results: The results showed that personality dimensions and lifestyle can significantly and negatively predict emotions and cognitive failures and finally with respect to the proposed model, it was found that lifestyle and personality dimensions could significantly predict cognitive failures through the mediation negative emotions. Conclusions: The result obtained from this study can be used to identify the groups vulnerable to cognitive failures and make necessary recommendations to the experts to understand the causes and etiology, consultation and prevention of cognitive failures.

Objective: Due to unpleasant consequences of depression in patients suffering from cardiac diseases, such as increase in mortality rate during the first year, especially after undergoing a surgery; this study addresses structural relationships between cognitive and behavioral variables including illness perception and coping strategies in predicting depression after undergoing Coronary Artery Bypass Grafting (CABG) and Percutaneous Coronary Intervention (PCI). Besides, one of the cognitive models for assessing psychological adaptation with chronic medical diseases was outlined for the first time. Method: The sample comprised 245 coronary patients confronted with the diagnosis for the first time, who had undergone PCI and CABG interventions. They were chosen and interviewed through convenience sampling following one month of initiating treatment process. For this purpose, Beck Depression Inventory for Primary Care (BDI-PC), Coping Inventory for Stressful Situations (CISS-21) and the short format of Disease Perception Questionnaire were administered. Data was analyzed using structural equations modeling (LISREL software). Results: findings indicated that applying emotion-focused coping strategies determined 40% of depression variance in these patients, whereas problem-focused strategies determined 4.5% of it and avoidant coping strategy didn’t have a significant role in depression. On the other hand, illness perception as a cognitive variable, could directly determine 26% of depression and 4.5% of it through emotion-focused strategies and 0.25% by means of problem-focused strategies. Also illness perception, could meaningfully determine 50% of emotion-focused coping variance, 7% of problem-focused variance and 8% of avoidance variance. Conclusion: Overall results of this study supported Leventhal’s theoretical model of self-regulation and verified the role of cognitive variables (illness perception) and behavioral ones (coping strategy) in emerging depression. Therefore it is recommended that much attention be drawn to the process of developing patient’s illness perception through personal or group trainings and if necessary, offering effective cognitive and behavioral treatments by practitioners.