RESUMO
OBJECTIVE: The aim of this study was to investigate sleep quality and quality of life, sociodemographic variables that may affect sleep quality, and the relationship between sleep and quality of life in patients with atrial fibrillation (AF). MATERIALS AND METHODS: This descriptive cross sectional study had a sample of 84 individuals (AF patients from April 2019-January 2020). The Patient Description Form, the Pittsburgh Sleep Quality Index (PSQI), and the EQ-5D health-related quality of life instrument were used to collect data. RESULTS: The mean total PSQI score was 10.72 (±2.73), we found that most of the participants (90.5%) had poor sleep quality. While there was a significant difference between the sleep quality and employment status of the patients, there was no significant difference between age, gender, marital status, education level and income status, comorbidity, family history of AF, continuously used medication, non-drug AF treatment, and AF duration (P > .05). The sleep quality of those working in any job was better than of their non-working counterparts. Regarding the correlation between sleep quality and quality of life, a medium-level negative correlation was found between the patients' total mean PSQI and EQ-5D visual analogue scale scores. However, no significant correlation was found between the total mean PSQI and EQ-5D scores. CONCLUSION: We found that sleep quality in patients with AF was poor. In these patients, sleep quality should be evaluated and taken into consideration as a factor that affects quality of life.
Assuntos
Fibrilação Atrial , Humanos , Fibrilação Atrial/tratamento farmacológico , Fibrilação Atrial/epidemiologia , Qualidade de Vida , Estudos Transversais , Comorbidade , Sono , Inquéritos e QuestionáriosRESUMO
OBJECTIVE: Because of the COVID-19 pandemic, people all over the world have been confined to their homes and exposed to unprecedented levels of stress. This study was conducted with the aim of evaluating the factors which are affecting sleep quality in the Turkish population during the COVID-19 pandemic. METHODS: The sample of this study consisted of 1023 individuals who completed a questionnaire by means of an online Google Forms connection by email and electronic communication between the dates of 12 July and 30 August 2020. A Personal Information Form, a Health Behavior Changes Form, the Numeric Rating Scale and the Pittsburg Sleep Quality Index (PSQI) were used to collect data. RESULTS: It was found that 68.1% of the participants in the study had poor sleep quality and 31.9% had good sleep quality. Also, those with a history of contact with a person with COVID-19, or those who knew someone with COVID-19 in those close to them had significantly worse levels of sleep quality than the others (p<0.05). It may be predicted that participants with an education level of high school or lower, a low income, a reduction in physical activity or food intake, fatigue or high stress levels may have lower sleep quality. CONCLUSION: It is important to determine the factors affecting sleep quality during such large pandemics, and to provide the necessary support.