The sudden novel coronavirus disease 2019 (COVID-19) pandemic has created a negative effect on the mental health of the public. In this study, in relation to the pandemic, psychological distress, sleep quality and affecting factors in adults were examined.
Using the convenience sampling method, the Pittsburgh Sleep Quality Index and questionnaires to determine psychological distress levels and sociodemographic characteristics were distributed online to 405 participants.
The mean psychological distress score of the participants was 34.55 ± 8.07, while their mean sleep quality score was 6.39 ± 3.31. The prevalence of poor sleep quality was 55.1%. The psychological distress scores were higher among the men than the women, married participants than single ones, those with children than those without children and those who were employed than those who were not. The sleep quality of the single participants and the participants with low education levels was poorer. The sleep quality of those who left work in the pandemic period was poorer than those who were working from home/office and those who were already not employed before the pandemic. The sleep quality of those not working in the field of health was better than healthcare professionals and those not working at all. The scores for psychological distress were positively correlated with gender and negatively correlated with sleep quality levels.
In Turkey, during the Covidien-19 epidemic period, no study to investigate the psychological distress and sleep quality has been detected.
During the COVID-19 period, the psychological distress level was found to be high in adults and the sleep quality was found to be at a poor level.
Risk factors for psychological distress include being a man, being married, having a child, and being employed.
Being single, low education level, losing job during the epidemic period, working in the health sector / not being employed at any job were among the risk factors for sleep quality.
The scores for psychological distress were positively correlated with gender and negatively correlated with sleep quality levels.