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Background: Following the pandemic of corona disease in Iran and around the world, the most important goal of health policies focused on compliance with prevention behaviors, and its evaluating. One of the most effective model based on social psychology is Health Belief Model that has been employed in many studies as different aspects of preventive behaviors. Objectives: The main purpose was study the relationship between compliance with preventive behaviors of corona disease with health belief model, and predicting the high level and low level of compliance with these behaviors based on health belief model variables. Methods: The present study was a descriptive-correlational study in terms of its method. The statistical population consisted of all adults aged +20 who lived in Tehran. 472 voluntary subjects were selected through online recall method. The instruments of the study included the compliance with preventive behaviors of corona scale (CPBC), and the corona health belief model inventory (CHBM). Both measures were developed and standardized by the researchers. Data were analyzed by using regression analysis. Results: The Means of CPBC in all participants was 3.38 ± 0.83, thereupon two groups were formed accordingly, as high group (4.18±0.17) and low group (1.92±0/28). The findings show that high level of compliance could be predict by severity, benefits; and barriers; and low level of compliance by age, benefits, and barriers. Conclusion: Since preventive behaviors were known as the best way to control of corona virus outbreak, there is a great value of identifying variables that might mitigate or exacerbate compliance could contribute greatly to the development of more effective health planning in Iranian society. Therefore, increase the benefits and reduce the barriers of prevention behaviors could be effective, and consequently, corona virus transmission could be decreased.

The aim of this study was to compare the personality traits and defense styles of students (girls) with high and low academic performance in Ardabil city in the academic year of 2020-2021.The research method is causal-comparative In this regard, the number of students with high educational performance of 30 people and students with low educational performance were selected as well as 30 students using a multi - stage cluster sampling method. To collect research data, the five-factor personality test (short form) and the defense styles questionnaire of Andrews et al. were used. To analyze the collected data using SPSS-20 software, descriptive statistical methods including mean and standard deviation were used and also standby statistical methods including multivariate analysis of variance were used. The results showed that there is a significant difference between students with high and low academic performance in some personality traits and defense styles so that. The students with high academic performance in the personality traits of extra version (p<0.044) and conscientiousness (P <0.45) got higher scores and students with low academic performance in the personality traits of neuroticism got higher scores. The results also showed that in developed defense styles students with high academic performance (P <0.012) had higher scores and the students with low academic performance in underdeveloped defensive styles (P <0.013) and psychotic defensive styles. Got higher scores. Therefore, according to the findings of the study, it can be concluded that personality traits and defensive styles have a decisive role in students' academic performance.

Coronavirus pandemic has caused people a lot of anxiety in the past two years. The present study aims at predicting Coronavirus anxiety level based on mindfulness and resilience. It is applied research in terms of the goal; and methodologically, it is descriptive correlational research. Corona Disease Anxiety Scale (CDAS), Five Facet Mindfulness Questionnaire (FFMQ) as well as The Connor-Davidson Resilience Scale (CD-RISD) are employed to gather the data. The participants of the study include all Rahman Institute of Higher Education students in the academic year 2020-2021. A total of 260 (147 male and 113 female) students are chosen based on convenience sampling for whom the questionnaires are administered on-line. Statistical data analysis is based on regression analysis. The results of the multiple liner regression show that 12 percent of variance in COVID 19 anxiety is related to two of the mindfulness facets as observing and acting with awareness (p<0.01). Additionally, 19.6 percent of variance in COVID 19 anxiety is determined by mindfulness. Therefore, it is concluded that the facet of observing and resilience are related to less COVID 19 anxiety and acting with awareness is in connection with more COVID 19 anxiety in people  

The present study was conducted on female students of Allameh Tabataba'i University to predict Internet addiction through a seven-factor Cloninger model. The statistical population of the study consisted of all female students of Allameh Tabataba'i University studying in the academic year 2019-2020. Moreover, a sample population of 150 people was selected through the convenience sampling method. Young's Internet Addiction Test and Cloninger’s Temperament and Character Inventory (TCI-125) were administered to the sample population. The data were analyzed by Pearson’s correlation test, multiple regression. Results of Enter regression indicated that persistence dimension (b=-0.355) could account for 18.6% of variances of Internet addiction. The results of stepwise regression showed that persistence (b=-0.349) could predict 12.2% of variances of Internet addiction. Then, self-directedness was added to the prediction model which increased the explained variances of Internet addiction up to 15.4% of which 3.2% accounts particularly for self-directedness. This study may contribute to more accurate identification of involved factors in this phenomenon and provide a proper approach for prevention and treatment in line with those focused on evaluating the effective factors on Internet addiction.