ABSTRACT
Background: This study aimed to explore the levels of anxiety and depression in a sample of home-quarantined college students to identify the risk factors for psychological distress during the COVID-19 lockdown. Methods: A total of 1156 college students studying in Jiangsu, China, participated from August 5 to August 14. A structured questionnaire was used to collect data anonymously, including demographic characteristics, the generalized anxiety disorder-7 (GAD-7) questionnaire, the patient health questionnaire-9 (PHQ-9), a physical activity scale, and items related to COVID-19. The chi-square test and Fisher's exact test were employed to establish the differences in levels of anxiety and depression across sociodemographic characteristics. Binary logistic regression was applied to measure the predictors of levels of anxiety and depression, and associations were considered significant at p <0.05. Results: The estimates of anxiety and depression were 48.1% and 57.6%, respectively. The univariate analysis indicated a significant difference in anxiety levels across student grades, whether the student was an only child, the distance from the worst-hit areas, and physical activity/exercise intensity. Physical activity intensity and living in communities with infected people were statistically correlated with the level of depression. Binary logistic regression results indicated that the predictive factors for anxiety were living within a short distance from the worst-hit areas (10~20 km), engaging in higher education (graduate students), and low-intensity daily exercise. Factors statistically predicting depression symptoms were having siblings, a COVID-19 diagnosis in the community and low-intensity daily exercise. Conclusion: During outbreaks, students in an extremely stressful state are more likely to develop anxiety and depression, particularly postgraduates. Psychological interventions to reduce fears and encourage exercise should be available to home-quarantined college students. Students who live in the worst-hit areas and are not the only child in the family should be prioritized.
ABSTRACT
BACKGROUND: The global outbreak of the coronavirus disease 2019 (COVID-19) has emerged as a major public health threat. This study aimed to analyze the influencing factors of international students' intention to wear a mask based on the theory of planned behavior (TPB). The findings are important because they provide pertinent information in designing and implementing COVID-19 prevention programs. METHODS: Self-designed questionnaires were distributed to 477 international students. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) was conducted to identify and confirm the factor structure, and the structural equation model (SEM) was applied to determine the predictors of masks wearing. RESULTS: The final structural model was well reflected by fit indices. The research model of international students' intention to wear a mask for protection against COVID-19 was acceptable. All of the hypotheses were supported. Attitude and perceived behavioral control (PBC) were positively related to behavior intention (BI), respectively. Subjective norm (SN) also had a direct effect on attitude, PBC, and BI. CONCLUSIONS: Referring to TPB was useful in identifying determinants of mask-wearing. The strongest predictor was SN, which indicated it was deserving of increased attention. These findings are significant to strengthen international students' awareness regarding self-protection and enhance the effectiveness of COVID-19 prevention programs.