Abstract:
During the Coronavirus disease 2019 pandemic, late adolescents are at risk of depression because they are manifested with various adaptations to prevent the viruss spread. This predictive correlational study aimed to examine depression and its predicting factors among 166 late adolescents in Klaeng district, Rayong province during the Coronavirus disease 2019 pandemic. Stratified random sampling was employed to select the sample. Seven questionnaires were used to gather data including a Personal information form, the Center for Epidemiological Studies-Depression Scale, the Resilience Scale, the Family Relationship Scale, the Fatigue from the Coronavirus 2019 Pandemic Situation Scale, the Facebook Addiction Scale, and the Cyberbullying Scale. These scales yielded Cronbachs alpha coefficients of .86, .95, .82, .91, .89, and .86, respectively. Descriptive statistics and stepwise multiple regression were used to analyze data. The study findings revealed that 63.86% of the sample had depression. Among these, 22.29% had mild to moderate depression, and 41.57% had severe depression. Stepwise multiple regression analysis revealed that resilience (β = -.49, p < .001), fatigue from the Coronavirus disease 2019 pandemic situation (β = .27, p < .001), and cyberbullying (β = .15, p < .05) could together significantly explained variance of depression for 39.50% (R2 = .395, p < .05). The results suggest that healthcare providers should aware of depression among late adolescents during the Coronavirus disease 2019 pandemic and regard as an important mental health concern. Therefore, they should develop programs/ activities to prevent or decrease depression by enhancing resilience and reducing perceived fatigue and cyberbullying.