درخت حوزه‌های تخصصی

Objective: this study aimed to compare the effectiveness of cognitive behavioral based stress management training and positive therapy on self-regulation behaviors of females with primary hypertension. Method: In this semi-experimental study with pretest-posttest and control group, 48 women with primary hypertension were randomized in control (n = 16), positive therapy (n = 16) and stress management (n = 16) groups. All participants completed standard self-regulation behaviors questionnaire before and after interventions. The intervention groups received cognitive-behavioral based stress management training program for eight sessions. The control group did not receive any intervention during research. Data were analyzed using SPSS software and descriptive and inferential statistical methods (ANCOVA). Results: The findings indicated level of self-regulatory behaviors significantly increased in the intervention groups in compare to control group (P> 0.05). Comparison of intervention group revealed superior effectiveness of cognitive-behavioral based stress management program versus positive therapy (Mean difference=28.13, P>0.05) Conclusion: cognitive-behavioral stress management training and positive therapy are effective on the self-regulation behaviors of women with primary hypertension. Improvement of self-regulation behaviors through psychological programs such as cognitive-behavioral stress management training and positive therapy reduce the burden of disease and enhance treatment adherence.

Objective: The present study aimed to predict corona disease anxiety among medical staff in Tehran based on five-factor theory of personality. Method: In the present descriptive and correlational study, the statistical population included all medical staff in Tehran in 2020, among which 210 physicians, nurse, and other medical staffs were selected based on snowball sampling method. The instruments included Neo-Five Factor Inventory (NEO-FFI), Corona Disease Anxiety Scale (CDAS). Data were analyzed using Pearson’s correlation and Multiple Regression Analysis. Findings: Regression analysis indicated significantly Beta coefficients for openness personality traits (-0.238) and conscientiousness personality traits (-0.249). a statistically significant correlation is observed between openness (39%), neuroticism (-39%), extraversion (37%), conscientiousness (34%), and agreeableness (25%) with coronavirus anxiety at the 99% confidence level. Further, the correlation between each of the dimensions and the mental component of coronavirus anxiety is more compared to that of physical one. Conclusion: Based on the results of multiple regression analysis, the micro-components of openness and conscientiousness could predict the level of total coronavirus anxiety. Considering standard coefficients, conscientiousness plays a more important role in predicting the level of total coronavirus anxiety in medical staffs, which decreases by increasing openness and conscientiousness. Medical staff who are higher in openness and conscientiousness personality traits are lower in corona disease anxiety.

Abstract Objective: Health literacy is the capacity to get, process and realize basic information and services necessary to make proper decisions in the field of health. This study was conducted aimed at determining the relationship between health literacy and demographic variables of Yazd city citizens. Method: This study was a descriptive (cross-sectional) one the population included 385 people living in Yazd city. Data were collected using a researcher-made questionnaire whose validity and reliability were confirmed. After completing the questionnaires, the data analysis was performed using SPSS statistical software, Pearson correlation coefficient and Chi-square test. Results: the results indicate that there is a significant relationship between health literacy and age, gender and marital status. The highest correlation coefficient was observed in the relationship between health literacy and age. Conclusion: Due to the effective demographic variables, it seems that demographic characteristics-based interventions should be designed and implemented in order to improve the health literacy of citizens.

We used the affective profiles model to investigate individual differences in motivation, stress and energy. The aim was to replicate past findings, but we also focused on matched comparisons within individuals with affective profiles that are similar in one affective dimension and differ in the other in order to predict changes when individuals increase/decrease their experience of positive or negative affect. Methods: <span class="fontstyle2">A total of 567 participants answered the Positive Affect and Negative Affect Schedule, which was used for affective profiling; the Situational Motivation Scale, which measures intrinsic motivation, identified regulation, external regulation, and amotivation; and the Stress-Energy questionnaire. Results: <span class="fontstyle2">Comparisons between the four different profiles, replicating the past findings, showed that individuals with high affective and self-fulfilling profile scored highest in intrinsic motivation, identified regulation, and energy, while they scored lowest in external motivation, amotivation, and the self-fulfilling profile, also lowest in stress. Additionally, the matched comparisons showed, for example, that levels of intrinsic motivation increase when negative affect levels decrease, and positive affect is kept high when positive affect decreases and negative affect is kept low. Conclusions: One important feature of the affective profiles model is the possibility to compare individuals that are similar in one affect dimension but differ in the other (Garcia, 2011, 2017). This way of discussing individual differences helps to predict what changes could be expected when individuals increase or decrease their experience of positive or negative affect. Importantly, the direction of these changes cannot be addressed from cross-sectional data