A cross-sectional study on the impact of the COVID-19 pandemic on psychological outcomes: Multiple indicators and multiple causes modeling.

Although the psychological impact of coronavirus disease 2019 (COVID-19) has been evaluated in the literature, further research is needed, particularly on post-traumatic stress disorder (PTSD) and psychological outcomes, is needed. This study aims to investigate the effect of the COVID-19 pandemic on psychological outcomes (depression, anxiety, and insomnia). A cross-sectional study using an online survey was conducted using the following instruments: Impact of Event Scale-Revised (IES-R), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder (GAD-7), and Insomnia Severity Index (ISI). Confirmatory factor analysis (CFA), structural equation model (SEM), multiple indicators and multiple causes (MIMIC) modeling, and differential item functioning (DIF) were performed to analyze the collected data. According to the results, participants with PTSD (n = 360) showed a higher level of depression, anxiety, and insomnia than those without PTSD (n = 639). Among the participants, 36.5% experienced moderate to severe symptoms of depression, and 32.6% had mild depressive symptoms. Moreover, 23.7% of participants experienced moderate to severe anxiety symptoms, and 33.1% had mild anxiety symptoms. In addition, 51.5% of participants experienced symptoms of insomnia. In conclusion, the PTSD caused by COVID-19 is significantly associated with depression, anxiety, and insomnia at the level of latent constructs and observed variables.

Psychologists' perspective of mental health in Yemen during the civil war and COVID-19: a qualitative inquiry.

In comparison to other Middle Eastern nations that are experiencing conflicts and wars, Yemen has the greatest rate of mental health issues since the war was accompanied by distressing experiences and severe chronic psychological crises. This study aims to examine the current state of psychological problems from the perspectives of psychologists and psychiatrists in light of the ongoing civil war and the COVID-19 pandemic. This study included 20 psychologists and psychiatrists in total. Semi-structured face-to-face interviews with the psychologists and psychiatrists were done between October 2021 and December 2021 and between May 2022 and June 2022. Handwritten notes and field notes were used to record the interview process. The transcripts were inductively analysed using Braun and Clarke's thematic analytic approach to get the main themes and subthemes. The four major themes that emerged from the emerging codes are the impact of war on mental health, the impact of COVID-19 on mental health, the healthcare system, and the lack of awareness about mental health. These themes reveal how the civil war and COVID-19 contributed to Yemenis' mental health issues and resulting psychological disorders. Yemenis' mental health and well-being are under several threats; thus, the government and other relevant authorities must take urgent measures to lessen the impact of mental illness on society.

Exploring Factors Affecting Graduate Students' Satisfaction toward E-Learning in the Era of the COVID-19 Crisis.

BACKGROUND: Shifting the educational system from a traditional to an online context during COVID-19 necessitated several considerations to assure students' satisfaction with e-learning. AIM: This study aims to explore the factors influencing students' satisfaction with e-learning during the COVID-19 crisis. In particular, it tests multiple mediations, student factors, and system quality between students' satisfaction and each course evaluation and instructor's performance. METHODOLOGY: In this cross-sectional study, 258 undergraduate and postgraduate students enrolled in online courses at multiple Malaysian universities were recruited using non-probabilistic purposive sampling. Data were collected using a questionnaire that assessed four factors that influenced students' satisfaction with e-learning during the COVID-19 crisis (i.e., instructor performance, course evaluation, student factors, and system quality) and analyzed using the partial least squares route structural equation modelling (PLS-SEM). RESULTS: The results indicated that the four factors were significantly associated with students' satisfaction with e-learning during COVID-19. Student factors and system quality were the most factors predicting students' satisfaction with e-learning. Findings indicate statistically significant relationships between the instructor's performance, student factors, course evaluation, and system quality on students' satisfaction. Furthermore, the results depict that both course evaluation and system quality serially mediate the relationship between instructors' performance and students' satisfaction. CONCLUSION: This study finds that improving and enhancing student factors and system quality is critical for students' satisfaction with e-learning. Furthermore, e-learning platforms should contain new advances of computer-mediated technologies that enable collaboration, which is a critical factor in the success of e-learning systems.