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.

Summary: Vaccine hesitancy is a global health issue and can be affected by several variables. We explored the predictive factors and causes of vaccine hesitancy among adults in Saudi Arabia. An online survey method with multiple regression analysis was used to identify factors predicting of vaccine hesitancy in 558 adults (46.24% women and 53.76% men). The prevalence of vaccine hesitancy is 20.6%, with higher rates among females, young people and single people. About 70% of the participants believe that vaccine hesitancy is due to concerns about the safety and efficacy of the vaccine, a lack of information about the disease and vaccine or social media. The vaccine acceptance rate is 71.3%; 17.2% are not willing to accept a COVID-19 vaccine and 11.5% are unsure. Males and married people are more accepting of the vaccine. The risk factors that predict vaccine hesitancy include age, gender, belief in conspiracy theories and psychosocial factors. Meanwhile, age, gender, belief in conspiracy theories, concerns about the safety and efficacy of the vaccine and psychosocial factors significantly predict vaccine acceptance. The high rate of vaccine hesitancy could undermine efforts to combat COVID-19. Factors predicting vaccine hesitancy can be used in interventions to address this issue during major epidemics.

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 (X^2 = 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.

Background: There is a growing interest in studying the area of drugs and college students due to the negative effects that drugs have on a student’s social life, academics, psychology, finances, and health. So, this study aims to identify the relationship between drug/substance abuse and quality of sleep among university students in Yemen and Saudi Arabia. The sample size was 935 (43.21% N = 404 female, 56.79% N = 531 male, 55.40% N = 518 Yemeni, and 44.60% N = 417 Saudi). Students responded to the Drug Abuse Screening Test (DAST-10), the Pittsburgh Sleep Quality Index (PSQI), and the Substance Abuse Questionnaire. Results: The results showed a high prevalence of drug use: 43.1% of respondents (27.27% N = 219 Yemenis and 15.83% N = 148 Saudis) abuse drugs, 29.41% were in the low level of drug use, 10.48% were in the moderate level of drug use, 2.46% were in the substantial level of drug, and 0.75% were in the severe level of drug use as per the DAST-10. The differences between both countries in terms of drug use were significant (X² 19.394, P < 0.001). The prevalence rate of inhalants was 16.36% and of sedatives was 12.09%, and the differences between countries were significant. The prevalence of poor sleep quality was 24.81%; a total of 7.91% of respondents had very poor sleep quality, while 16.90% had poor sleep quality. The differences between countries were not significant. The relationship between sleep quality and drug use, smoking, and substance abuse was significant. The quality of sleep decreased consistently with a high level of drug use or substance abuse. Conclusions: Poor sleep quality is significantly associated with drug use and substance abuse, and it is important to recognize the factors affecting drug and substance abuse among university students. A significant contribution can make for the protection of university students by guaranteeing that psychological interventions for high-risk groups are planned in advance.

Background: Paramedical staff are essential to healthcare services and often encounter negative life events that can influence their psychological well-being. This research aimed to elucidate the connection between negative life events and the psychological well-being of paramedical personnel in Multan City, Punjab, Pakistan. Methods: The study utilized a correlational research approach and involved a purposive sample of 196 paramedical staff from multiple medical institutions. The Negative Life Events Scale (Wills et al., 1992) and the Psychological Well-being Scale (Ryff & Keyes, 1995) were used as study instruments. Pearson's correlation coefficient was used to evaluate the relationship between the specified variables. Results: The analysis revealed a significant negative relationship between negative life events and psychological well-being (r = -0.48, p < 0.01). Negative life events were found to be a significant predictor of psychological well-being, explaining 23% of the variance in well-being assessments. The paramedical staff who experienced a higher frequency of negative life events reported lower levels of psychological well-being. Conclusion: The results of this study shed light on the importance of addressing the negative impact of life events on the psychological well-being of paramedical staff. These findings serve as a call to action for the development of specialized interventions and support structures that can help these healthcare professionals cope with the effects of these events. By proactively addressing these concerns, institutions can create a more supportive environment for staff and improve their overall well-being. These insights have the potential to inform institutional policies, support mechanisms for staff, and future research into mental health considerations in healthcare environments.