Comparison of sociodemographic aspects and lifestyle with quality of sleep and excessive daytime sleepiness in academics of medicine in a university of south of Santa Catarina

• Autor(a) principal: Neves, Marcus Vinicius Trassi
• Data de Publicação: 2019
• Outros Autores: Kock, Kelser de Souza
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Brasileira de Qualidade de Vida
• Texto Completo: https://periodicos.utfpr.edu.br/rbqv/article/view/9336
• topic: 4.06.01.00-5 Epidemiologia; Sono; Estilo de vida; Medicina do sono; Estudantes de medicina.; Sleep; Lifestyle; Sleep medicine; Medical students.

OBJECTIVE: To compare sociodemographic aspects and lifestyle with sleep quality and excessive daytime sleepiness in medical students at a university in the south of Santa Catarina.METHODS: Cross-sectional study. The sample was composed by medical students of the University of Southern Santa Catarina, located in Tubarão/SC. Sociodemographic data were collected and questionnaires were used: Socio-demographic information and the questionnaires Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). A bivariate analysis was performed through Tukey's post hoc ANOVA test in relation to the outcome: daytime sleepiness and sleep quality, considered an alpha error of 5%.RESULTS: The sample consisted of 299 students, the majority of whom were women (170, 56.9%), with a median (P25-P75) age of 22 (20-23) years. In the evaluation of lifestyle, the most prevalent results were Good (131; 43.8%) and very good (129; 43.1%); the ESS indicated as the most common finding was Low probability of daytime somnolence (186, 62.2%), and PSQI showed a Bad sleep quality in most cases (221, 73.9%). It was observed a higher daytime sleepiness in women (p<0.05), and good or very good lifestyle was associated with better sleep quality (p<0.05) and less daytime sleepiness (p<0.05).CONCLUSIONS: Although most students have a low probability of daytime sleepiness, the most prevalent sleep quality has been shown to be poor. The woman students were associated to a great probability of daytime sleepiness and lifestyle was related to good sleep quality and less daytime sleepiness.