Anxiety and fear of COVID-19 as potential mechanisms to explain vaccine hesitancy among adults.

Background: Vaccine hesitancy is a significant global problem resulting from the interaction of multiple factors, including mental health factors. However, the association of COVID-19 vaccine hesitancy with mental health has not been well-examined, especially in Arab culture. This study aims to identify the correlation between anxiety/fear of COVID-19 and vaccine hesitancy among Saudi adults. Methods: An online-based survey was administered to 558 participants from all regions of Saudi Arabia using the snowball technique. However, this sample may not be representative of the Saudi adult population. Participants responded to the Questionnaire of Vaccine Hesitancy, the COVID-19-Anxiety Questionnaire (C-19-A), and the Fear of COVID-19 Scale (FCV-19S). Data were analyzed on vaccine uptake, vaccine hesitancy, coronavirus infection, and demographic variables. The predictive factors of vaccine hesitancy were examined in one model using multiple regression analysis by the Enter method (P= 0.05). Results: COVID-19 anxiety and fear have significant correlations with vaccine hesitancy (Phi=0.33, P=0.017; Phi=0.29, P=0.013, respectively). Anxiety and fear were higher among unhesitating participants (t =2.469, P=0.014; t=2.025, P=0.043, respectively). Participants who had previously been infected with coronavirus were more likely to be hesitant (X2 = 23.126, P=0.000). Participants who scored high in anxiety were more likely to be vaccinated (F=3.979, P=0.019) and have a secondary school or college education (F=4.903 P=0.002). COVID-19 anxiety, gender, and coronavirus infection significantly predicted vaccine hesitancy. Conclusion: Anxiety and fear of COVID-19 are among the most important factors correlated with vaccine hesitancy; unhesitant people are more likely to have anxiety and fear. COVID-19 anxiety significantly predicted vaccine hesitancy. We recommend integrating psychological care into vaccination plans to help increase the uptake rate during potential subsequent pandemics. Relevant intervention programs can be designed to help increase vaccine acceptance, deal with vaccine hesitancy, and relieve psychological symptoms during major pandemics. Psychologists can provide awareness messages, counselling seminars, online mentoring, or telemental health outreach.

Artificial intelligence and social intelligence: preliminary comparison study between AI models and psychologists.

Background: Social intelligence (SI) is of great importance in the success of the counseling and psychotherapy, whether for the psychologist or for the artificial intelligence systems that help the psychologist, as it is the ability to understand the feelings, emotions, and needs of people during the counseling process. Therefore, this study aims to identify the Social Intelligence (SI) of artificial intelligence represented by its large linguistic models, "ChatGPT; Google Bard; and Bing" compared to psychologists. Methods: A stratified random manner sample of 180 students of counseling psychology from the bachelor's and doctoral stages at King Khalid University was selected, while the large linguistic models included ChatGPT-4, Google Bard, and Bing. They (the psychologists and the AI models) responded to the social intelligence scale. Results: There were significant differences in SI between psychologists and AI's ChatGPT-4 and Bing. ChatGPT-4 exceeded 100% of all the psychologists, and Bing outperformed 50% of PhD holders and 90% of bachelor's holders. The differences in SI between Google Bard and bachelor students were not significant, whereas the differences with PhDs were significant; Where 90% of PhD holders excel on Google Bird. Conclusion: We explored the possibility of using human measures on AI entities, especially language models, and the results indicate that the development of AI in understanding emotions and social behavior related to social intelligence is very rapid. AI will help the psychotherapist a great deal in new ways. The psychotherapist needs to be aware of possible areas of further development of AI given their benefits in counseling and psychotherapy. Studies using humanistic and non-humanistic criteria with large linguistic models are needed.

Working with patients and the mental health of health care workers during the COVID-19 pandemic.

BACKGROUND: Anxiety and concern are among the most common problems facing healthcare workers (HCWs) during epidemic diseases. OBJECTIVE: To identify the predictive factors of anxiety, fears, and psychological distress among healthcare workers during the COVID-19 pandemic. METHODS: An online survey method was used on a sample of 153 of HCWs; (110) frontline and (43) non-frontline HCWs. They answered on the Hamilton anxiety rating scale, the Kessler psychological distress scale (K10), and the COVID-19 Concerns Questionnaire. RESULTS: The results demonstrated that 47.05% of HCWs have a severe level of fear related to COVID-19, 43.13% have very severe anxiety, and 30.71% experience severe psychological distress. The differences between frontline and non-frontline HCWs, female and male HCWs, and HCWs working in medical clinics, on quarantine, or in another place were significant in the three scales. Predictive factors of anxiety, fear, and psychological distress include working on the front lines, being female, and being over 50 years old. Meanwhile, working in a workplace with COVID-19 patients predicted anxiety and psychological distress, but not fears associated with COVID-19. CONCLUSION: HCWs have a high prevalence of symptoms of mental disorders that may interfere with their work. These results may have therapeutic applications during pandemics.

The mediating role of religiosity and hope for the effect of self-stigma on psychological well-being among COVID-19 patients.

BACKGROUND: Over the past few months, there has been a significant increase in mortality and morbidity due to Coronavirus disease (COVID-19). Less attention has been paid to stigmatism, psychological well-being, hope, and religiosity, and how these may impact a patient's recovery. OBJECTIVES: This study aimed to detect the difference in religiosity, hope, self-stigma, and psychological well-being (PWB) due to demographic variables (age, education level, social status, and level of income). Additionally, the research sought to test the mediation role of religiosity and hope in the relationship between self-stigma and psychological well-being among COVID-19 patients. METHOD: A random sample of 426 COVID-19 patients answered an online questionnaire that contained four scales (Religiosity, Hope, stigma, and PWB). The data collected from the study participants were analyzed quantitatively by using One-way ANOVA, Exploratory Factor Analysis EFA, Confirmatory Factor Analysis CFA, and Structural Equation Model (IBM SPSS statistics 21, and Amos v.25). RESULTS: The current results showed statistically significant differences due to age in hope and well-being, in favor of the sample members belonging to the age group from 30 years old and over old, while there were no differences in religiosity and stigma due to age. There were no differences due to education level in religiosity, hope, stigma, and well-being. Results showed statistically significant differences in well-being in favor of the married group, while there were no differences in religiosity, hope, and stigma due to social status. Regarding the effect of income level in the study variables, the results showed no differences due to religiosity, hope, stigma, and well-being. Moreover, the findings found that both religiosity and hope play a mediating role. CONCLUSION: Religiosity and hope play a mediating role in the relationship between stigma associated with COVID-19 and psychological well-being. These results indicate several strategies to reduce the adverse effects of the stigma associated with COVID-19 and increase well-being among COVID-19 patients.