Abstract
Sleep disturbance is a common health problem that can influence the quality of life. There are several types of sleep disorders, such as obstructive sleep apnea, insomnia, narcolepsy, periodic limb movement disorder, and circadian dysregulation. Medical students are probably more prone to sleep disturbances due to their extreme academic stress. In this research, the incidence of sleep disturbance among medical students was examined, and the concomitant risk factors were determined. That was one-time research. A questioning was used to collect social, demographic and sleeping data. 678 1st, 2nd and 3rd year medical students were surveyed. 29% complained of at least one sleep disturbance. The most widely spread sleep disturbance observed among 51.8% medical students included insomnia (initial insomnia and sleep maintenance). 4th year students and those who spend much time on smartphones were more prone to sleep disturbances. Sleep disturbances are common among medical students. They need to be discovered and paid attention to before the situation gets worse.
Highlights
The sleep patterns are important to many physiological human functions such as learning capacity, consolidation of memory, neurocognitive functions and mental health [1,2]
The research aims to reveal the prevalence of sleep disturbances among medical students by examining seven sleep disorders
7% of those surveyed were married. 15.8% of them had chronic diseases. 17% of students smoked, 80% had strong coffee, 15% had sleep disturbances in family history, 8% exercised for two hours before bedtime and 7% slept in a very cold room
Summary
N — the minimum sample size; N — the overall population; p — the studied event probability The questionnaire included questions about chronic diseases, sleep disturbance family history, smoking status, coffee consumption, time spent on smartphones and/or TV. It was found out whether the student performed physical exercises within two hours before sleep and whether he/she slept in a very cold room. The MicrosoftExcel 2013 program was used to process the values Parametric methods such as calculation of average group values (M), the average data error (m) and use of the Student’s t-test (t) were utilized to estimate the statistical significance of group values. The possibility of a statistical error concerning the conclusion about the statistical value significance was less than 5% (p
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