Abstract
AIM: The purpose of this study was to investigate into mental health outcomes such as stress, anxiety, and depression, as well as sleep quality in suspected COVID-19 quarantined cases. METHODS: This is a cross-sectional study that used an online survey to target suspected COVID-19 cases in quarantine facilities. Data were collected on several aspects of participants' sociodemographic characteristics, sleep disturbance, and mental health status. Depression, anxiety, stress scale and Pittsburgh Sleep Quality Index were used to measure both the psychological impact and mental health status. RESULTS: Of the 362 people who took the survey, 234 (64.6%) were men, and 148 were between the ages of 26-35. Poor sleep was found to be prevalent in 65% of study participants. The rates of individuals reporting severe depression, anxiety, and stress symptoms were 14.6%, 15%, and 15%, respectively. According to the findings, there were significant gender differences in depression and anxiety (p = 0.001). When compared to the other age groups, participants aged 26-35 reported the highest level of stress (p = 0.001). Being male [OR = -1.23, 95% CI (-2.75-1.95) P = 0.050], single [OR = 0.98, CI (0.15-4.20), P = 0.001], and a healthcare worker [OR = -2.20, 95% CI (-2.59-1.82), P = 0.001] were all associated with poor sleep quality. CONCLUSION: Approximately-one-third of quarantine COVID-19 patients had poor sleep quality with mild-moderate depression. Both anxiety and stress scales were prevalent in nearly half of the studied samples.