درخت حوزه‌های تخصصی

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.

Objective: <span class="fontstyle2">The present study aimed to examine whether the treatment of Internet Gaming Disorder (IGD) in adolescents via Attentional Bias Modification (ABM) improves their health-related quality of life. Method: <span class="fontstyle2">34 adolescents with IGD who were 12-17 years old were randomly assigned to experimental (n = 16) and control (n = 18) groups. The experimental group received ABM, while no interventions were delivered to the control group. Attentional bias, IGD severity, and health-related quality of life were assessed using Modified Stroop Task, Internet Gaming Disorder-20 (IGD-20), and KIDSCREEN-52 questionnaires, respectively. Data from pre-test, posttest, and two months follow-up measurements were analyzed using two-way mixed measures ANOVA and Fisher’s least significant difference (LSD) via SPSS software. Results: <span class="fontstyle2">ABM successfully reduced attentional bias and IGD severity and improved health-related quality of life in adolescents of the experimental group (p < 0.05). These significant changes were observed at post-test and two months follow-up. Meanwhile, no significant change occurred in the control group (p > 0.05). Conclusion: <span class="fontstyle2">It could be concluded that ABM not only reduces the severity of IGD in adolescents, but also improves their health-related quality of life, although further research is required for the understanding of its mechanisms of effects.