"Not me!": Optimistic bias and college students' perceived susceptibility, severity, benefits, and self-efficacy in following COVID-19 preventive guidelines

Before Omicron's Arrival: Effects of Negative Emotions and Comparative Optimism on COVID-19 Protection and Detection Behaviors

This study examined the associations of emotions, cognitions, and behavioral intentions in response to exposure to news stories reporting on the arrival of Omicron variant in Vietnam. Outcomes included fear, anxiety, anger, comparative optimism, intentions to conduct prevention behavior (wash hands with soap), detection behavior (test for Omicron infection), and share health information. Two experiments were conducted with participants being randomized to either low-risk or high-risk condition that contained information promoting hand-washing with soap (Experiment 1, N = 303), or information promoting COVID-19 testing (Experiment 2, N = 303). Results indicated that viewing high-risk news stories led to higher fear, anxiety, and anger than low-risk news stories. Fear fully mediated the effect of news exposure on intentions to test for Omicron infection and share health information. Comparative optimism moderated the indirect effect of news exposure on intentions to wash hands with soap and share information about COVID-19 testing. Theoretical and practical implications were discussed.

Student adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach

The COVID-19 pandemic has presented unprecedented challenges for university students, creating uncertainties for their academic careers, social lives, and mental health. Our study utilized a machine learning approach to examine the degree to which students' college adjustment and coping styles impacted their adjustment to COVID-19 disruptions. More specifically, we developed predictive models to distinguish between well-adjusted and not well-adjusted students in each of five psychological domains: academic adjustment, emotionality adjustment, social support adjustment, general COVID-19 regulations response, and discriminatory impact. The predictive features used for these models are students' individual characteristics in three psychological domains, i.e., Ways of Coping (WAYS), Adaptation to College (SACQ), and Perceived Stress Scale (PSS), assessed using established commercial and open-access questionnaires. We based our study on a proprietary survey dataset collected from 517 U.S. students during the initial peak of the pandemic. Our models achieved an average of 0.91 AUC score over the five domains. Using the SHAP method, we further identified the most relevant risk factors associated with each classification task. The findings reveal the relationship of students' general adaptation to college and coping in relation to their adjustment during COVID-19. Our results could help universities identify systemic and individualized strategies to support their students in coping with stress and to facilitate students' college adjustment in this era of challenges and uncertainties.