Introduction: The COVID-19 pandemic has impaired the sleep-wakefulness cycle especially of healthcare professionals (HP). Sleep is affected by many factors and preventable risk factors protect HP from sleep disorders. To evaluate sleep quality and sleep disorders in HP working to gain insight risk factors and to raise awareness about working risk groups. Materıal and methods: The study population consisted of a total of 1190 HP employed at a hospital during the COVID-19 pandemic. From this population, a sample of 110 HP was selected based on reported only complaints of sleep. A sociodemographic data form and subjective sleep-wakefulness scales were applied. Sleep disorder was evaluated according to the ICSD-3.Results: Most of the participants were female. It was observed that 67.3%of the HP had disturbed sleep quality, and that nurses and medical secretaries had more complaints compared to doctors. Insomnia disorders was the most common disorder among the participants. Cases of insomnia disorders were found to be 15.477 times higher among those who had a history of mental disorders in their families, smoking was shown to have the most negative effect on biological rhythm, and married people experienced more sleepiness during the day.Conclusıons: During the COVID-19 pandemic, ancillary health staff is at greater risk of experiencing deterioration of sleep quality and insomnia disorders. Female, being married, cigarette smoking, and family history of psychiatric disorders were correlated with the development of sleep complaints.
Burnout is a syndrome that is more common in healthcare professionals. People who have burnout syndrome tend to spend inordinate and unhealthy amounts of time on smartphones. While smartphones offer many conveniences in life, they can turn into an addiction if overused. This study aimed to investigate burnout syndrome and smartphone addiction in healthcare workers, including doctors, nurses, medical secretaries, security guards, and cleaning staff, who have been actively working since the beginning of the COVID-19 pandemic. The target population included 1190 healthcare workers, from which a total of 183 agreed to participate in the study and met the inclusion criteria for participation. A sociodemographic data form, the Maslach Burnout Inventory, and the Smartphone Addiction Scale-Short Version were used as the data collection tools. Significant differences in burnout syndrome were found in doctors and nurses. A relationship was observed between emotional burnout (EB), desensitization, and smartphone addiction, as well as between higher education levels, doctors and nurses groups, and smartphone addiction. According to the linear regression analysis, it was determined that 17% of the change in the smartphone addiction score was related to age and 16% to education status. Doctors and nurses experience the highest rate of burnout syndrome and smartphone addiction. The healthcare workers who suffered EB and desensitization were more likely to have a smartphone addiction. A correlation may exist between healthcare professionals with higher education levels and the rate of EB, desensitization, and smartphone addiction. Age affects the addiction score.
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