AI Summary & Key Takeaways
AI InsightIt was found that 70.7%(203) of the nurses included in the study had poor sleep quality (PSQI ≥ 5) and 22.9% (66) had excessive daytime sleepiness (ESS ≥10).
📌 3 Key Takeaways
Abstract
Aim: The aim of this study is to determine the daytime sleepiness of nurses and to determine the sleep quality and related factors.Material and Methods: The research was conducted in Harran University Research and Training Hospital and Kastamonu StateHospital between July 2019 and August 2019. Nurses who accepted to participate in the study were included. The nurses who wereon annual leave, sick leave and who refused to participate in the study were excluded from the sampling. In this study; PersonalInformation Form, Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleep Scale (ESS) were used to collect data. The PersonalInformation Form, which was developed based on the literature, consists of questions that include demographic characteristics andindividual characteristics which are thought to affect sleep quality. Demographic characteristics (gender, age, weight, height, bodymass index (BMI)) as well as other individual characteristics (working style, economic status, presence of a health problem etc.)were questioned.Results: 115 (40.0%) male and 172 (59.9%) female nurses involved in the study, the mean age was 28.3 ± 6.3. The mean PSQI scoresof the participants were 6.5 ± 3.1, the mean ESS scores were 7.3 ± 4.6 and the mean BMI was 23.9 ± 4.3. It was found that 70.7%(203) of the nurses included in the study had poor sleep quality (PSQI ≥ 5) and 22.9% (66) had excessive daytime sleepiness (ESS ≥10). The majority of the participants (59.7%) had normal BMI, while 17.1% had a comorbid disease. When the participants with poorsleep quality (PSQI≥5) were evaluated, it was found that nurses working as shifts had statistically significant worse sleep qualitythan those who work without shifts (p