coronavirus anxiety

Purposes: The purpose of this study was to determine the epidemiology of coronavirus anxiety and the demographic factors related to it in Qazvin, Iran. Method: The method used in this study was descriptive-survey. Its statistical population included all Qazvin citizens in the spring of 2020. A total number of 1167 participants were recruited by convenient sampling and via an online questionnaire distributed on social media. They answered the demographic features and corona disease anxiety scale (CDAS) questionnaires.Their data were imported into the statistical software SPSS 25 and analyzed using the descriptive and inferential statistical tests like frequency test, percentile frequency, and Kruskal Wallis. results: The results of the analyses showed that the prevalence of coronavirus anxiety among Qazvin citizens was 13.54%. There was no significant difference between coronavirus anxiety level and its related factors in different “gender” and “educational background” groups. But still, in different “age” and “marital status” groups, a significant difference was found. Discussion: The results of the current study show that as people grow older,coronavirus anxiety level and its related factors increases. Conclusion: it can be concluded that coronavirus anxiety level and its related factors is higher among the older people when compared with the younger ones.

Aim: The sudden outbreak of Covid-19 virus in March and April 2020, sparked an emotional state of anxiety among different groups of society. The aim of the present study was to investigate the psychological predictors of coronavirus anxiety in Iranian young adults. Method: The sample included 517 women and men who responded to four electronic questionnaires which posted on the researchers' Instagram pages between March 11th and 28th 2020. The e-questionnaires included the Corona Anxiety Inventory, the Distress Tolerance Scale (DTS), Revised Health Hardiness (RHHI-24) and the Health-Promoting Lifestyle Profile (HPLP-II). Results: Data was analyzed by using multi regression method in SPSS -24. The results of regression analysis showed that tolerating emotional distress, health hardiness, and a lifestyle that promotes health can significantly predict the anxiety caused by the coronavirus pandemic. In addition, it turned out that women experience more coronavirus anxiety than their male counterparts. Discussion & Conclusion: It can be concluded that psychological variables in stressful and ambiguous situations can determine the levels of anxiety that individuals experience. Implications for these results and limitations of the present study have been discussed.

Objective: The purpose of this study was to compare the methods of coping with coronavirus anxiety and the mental health of female athletes aged 30-50 years participating in aerobics and non-athletes in Tehran. Method: This study was both descriptive and causal-comparative in nature. The study's statistical population consisted of all female athletes aged 30 to 50 years in the field of aerobics and non-athletes in Tehran in the year 2021-2022. In this study, 50 female athletes from Tehran's 1nd district were selected through a voluntarily sampling method, while 50 non-athletic women voluntarily participated in the study. Data were collected using the 12-GHQ Mental Health Scale (Goldberg & Williams, 1988) and the Stress Coping Styles Scale (Endler & Parker, 1990). Data analysis was performed using SPSS24 software, employing multivariate statistical analysis of variance. Results: The research findings indicate a significant difference in coping styles between female athletes and non-athletes. Specifically, the score for problem-oriented coping style in female athletes was higher than that in non-athletes (P<0.05). The score for emotion-oriented coping style was also higher in female athletes compared to non-athletic women (P<0.05). However, the score for avoidance coping style in female athletes was lower than in non-athletic women (P<0.05). Regarding mental health, the average score for mental health in female aerobics participants was lower than that in non-athletes (P<0.05). A lower score in mental health is considered indicative of better mental health. Therefore, it can be concluded that female athletes have better mental health compared to non-athletic females. Conclusion: The study's results suggest that female athletes and non-athletes have different coping styles when dealing with coronavirus anxiety. Female athletes tend to employ problem-oriented and emotion-oriented coping styles more frequently, while non-athletes are inclined toward avoidance coping style. Furthermore, female athletes demonstrate better mental health than their non-athletic counterparts.