Sleep quality and daytime sleepiness among college students: testing an explanatory model

Calidad del sueño y somnolencia diurna en estudiantes universitarios: probando un modelo explicativo

Qualidade de sono e sonolência diurna em estudantes universitários: testando um modelo explicativo

Sousa, Erlândio Andrade de - Freires, Leogildo Alves - Loureto, Gleidson Diego Lopes - Costa, Júlio Cezar Albuquerque da
Detalles Bibliográficos
2023
sleep quality
daytime sleepiness
academic stress
undergraduate students
Calidad del sueño
Somnolencia diurna
estrés académico
estudiantes universitarios
Qualidade de sono
Sonolência diurna
estresse acadêmico
estudantes universitários
Portugués
Universidad Católica del Uruguay
LIBERI
https://revistas.ucu.edu.uy/index.php/cienciaspsicologicas/article/view/2630
Acceso abierto
Resumen:
Sumario:The current study aimed to test, through structural equation modeling, an explanatory model of the sleep quality and excessive daytime sleepiness among Brazilian college students (N = 407). They answered the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), 12-item General Health Questionnaire, Fatigue Assessment Scale (FAS), Academic Stress Scale (ASS), Drug Use Time Questionnaire (DUTQ), and demographic information. The bivariate correlations and multiple regressions provided subsidies for the building of an explanatory model that included psychological discomfort, academic stress and the use of caffeine as explanatory variables for predicting sleep quality, and in turn the latter together with fatigue explaining daytime sleepiness. This model showed acceptable fit. The study concludes that higher levels of academic stress, psychological distress, fatigue and caffeine use are associated with lower sleep quality rates among university students. These findings shed light on the importance of considering both individual and contextual variables to understand the sleep-wake cycle in an academic context. These variables should be considered in further studies that aim to apply and evaluate possible future intervention actions.