Technologies and Mental Health in University Students: An Unhealthy Combination.

Introduction The exposure of medical students to a full-time schedule that includes classes, extracurricular activities, patients' lives responsibility, and great competition between classmates can interfere in emotional issues and in the sleep time. Objective The aim of the present study was to evaluate the sleep quality, and the incidence of anxiety and depression in medical school undergraduates as well as the relationship of these parameters with the intense use of technologies. Methods Fifty-five medical school undergraduates in their second year participated in the present study, answering questionnaires to evaluate sleep quality (Pittsburgh sleep quality index - PSQI), night-time use of technology (sleep time-related information and communication technology - STRICT), and signs of anxiety or depression (hospital anxiety and depression scale - HADS). Results The results showed 31 students (56.4%) with poor sleep quality (PSQI > 5). Based on the STRICT questionnaire, 36 (65.4%) of the participants referred to making use of technology at night-time; and 34 (61.8%) students had compatible anxiety score, while 14 (25.4%) had a compatible score for depression on the HADS questionnaire. There has been a correlation between poor sleep quality, the abuse of technologies before sleep time, and the presence of anxiety or depression. Conclusion The abuse of technology before sleep time reduced the sleep quality in the studied population, besides increasing the symptoms of anxiety and depression.

Insomnia and excessive daytime sleepiness in medical students: consequences of the use of technologies?

Objective: To analyze the relation among insomnia, excessive daytime sleepiness and the excessive use of technologies in medical students. Methods: The study was approved by the Local Ethics Committee of the institution. Students from the 1st and 2nd year of medical graduation students participated. Three questionnaires were used: Sleep Time-Related Information and Communication Technology, Insomnia Severity Index and the Epworth Sleepiness Scale. The data were described and compared by gender and year of graduation by the Students T Test, and correlated to the use of technology, insomnia and excessive daytime sleepiness by Pearsons Correlation (adopted the significance level of p <0.05). Results: 106 students (41 male) participated, expressing perception of insomnia in 76.4%, 34% with excessive daytime sleepiness, and 38.3% had a high use of technology related to sleep. There was a correlation between the use of technologies both with insomnia (r = 0.393; p = < 0.001), as well as with excessive daytime sleepiness (r = 0.228; p = 0.019). Conclusion: An important frequency of insomnia was found associated with the excessive use of technologies at the bed, with repercussions of daytime sleepiness. This demonstrates the importance of actions to raise awareness and education about correct sleep hygiene in medical students.