Abstract

This study examines the number of latent classes among adults based on depression, anxiety, resilience, and subjective well-being. Further, the present study investigates whether each latent class would be significantly classified with the fear of infection and perceived risk during the coronavirus disease 2019(COVID-19) pandemic. A total of 509 adults participated in this study. Latent profile analysis and multinomial logistic regression analysis were conducted. The main results of the analysis are as follows. First, participants were classified into three latent classes. Second, 8.7% of all participants who exhibited the highest levels of depression and anxiety also indicated, the lowest levels of resilience and subjective well-being. Furthermore, 61.6% of all participants who exhibited the lowest levels of depression and anxiety also showed, the highest levels of resilience and subjective well-being. Third, in classifying each latent class, fear of infection and perceived risk had significant effects. The findings of this study help to identify high-risk individuals vulnerable to negative emotions such as depression and anxiety related to COVID-19. Developing interventions to improve resilience and subjective well-being is necessary to prepare for similar situations in the future. Finally, the implications and limitations of this study, as well as suggestions for future studies, are discussed.