Objective This study examined the factors influencing the mental health and stress of individuals during the coronavirus disease-2019 (COVID-19) pandemic. Methods A total of 600 participants were enrolled in this anonymous questionnaire survey that included questions on their demographic profiles and experiences related to the COVID-19 pandemic. The COVID-19 Stress Scale for Korean People (CSSK), Warwick– Edinburgh Mental Wellbeing Scale, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, and Multidimensional Scale of Perceived Social Support were used. Data were analyzed using multiple regression to identify the factors affecting the total CSSK scores and the scores of each of the three CSSK subscales. Results Multiple regression analyses revealed that the severity of insomnia, sex, degree of income decline, occupation, religion, education level, marital status, residential status, level of social support, and degree of depression and anxiety had significant relationships with COVID-19-related stress. Conclusion We identified factors affecting stress and mental health in the general population during the COVID-19 pandemic. Our findings may be helpful in providing an individualized approach to managing the mental health of the public. We expect that the results of this study will be used to screen high-risk individuals vulnerable to stress and to establish policies related to the public health crisis.
Objective This study examined the factors influencing the mental health and stress of individuals during the coronavirus disease-2019 (COVID-19) pandemic. Methods A total of 600 participants were enrolled in this anonymous questionnaire survey that included questions on their demographic profiles and experiences related to the COVID-19 pandemic. The COVID-19 Stress Scale for Korean People (CSSK), Warwick– Edinburgh Mental Wellbeing Scale, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, and Multidimensional Scale of Perceived Social Support were used. Data were analyzed using multiple regression to identify the factors affecting the total CSSK scores and the scores of each of the three CSSK subscales. Results Multiple regression analyses revealed that the severity of insomnia, sex, degree of income decline, occupation, religion, education level, marital status, residential status, level of social support, and degree of depression and anxiety had significant relationships with COVID-19-related stress. Conclusion We identified factors affecting stress and mental health in the general population during the COVID-19 pandemic. Our findings may be helpful in providing an individualized approach to managing the mental health of the public. We expect that the results of this study will be used to screen high-risk individuals vulnerable to stress and to establish policies related to the public health crisis.
INTRODUCTION METHODS RESULTS DISCUSSION REFERENCES
