Al Kazhali Manar, Shahwan Moyad, Hassan Nageeb, Jairoun Ammar Abdulrahman
Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman 346, UAE.
Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman 346, UAE.
J Public Health (Oxf). 2023 Mar 14;45(1):124-133. doi: 10.1093/pubmed/fdab372.
This study was conducted among a convenience sample of Ajman University students in UAE between February 2018 and May 2019.
All undergraduate and master's degree students from the 1st to 5th year of medical and non-medical colleges. The survey was carried out by distributing a pre-designed, pre-structured questionnaire to the students during lectures. The questionnaires were primarily composed of three sections: demographic characteristics, educational characteristics and sleep quality characteristics. The data were analyzed using STATA version 14.2. Logistic regression analysis was used to investigate the association between sleep characteristics, social media use and other significant risk factors. The P-values < 0.05 were considered to be statistically significant.
The vast majority of the study participants were social media users, and a considerable proportion suffered from poor sleep quality. A significantly increased risk of bad sleep quality and intermittent/anxious sleep patterns were observed among social media users.
Health policymakers should fully consider these factors in improving the sleep quality of university students.
本研究于2018年2月至2019年5月在阿联酋阿治曼大学学生的便利样本中进行。
涵盖医学院和非医学院1至5年级的所有本科和硕士学位学生。通过在讲座期间向学生分发预先设计、预先构建的问卷来进行调查。问卷主要由三个部分组成：人口统计学特征、教育特征和睡眠质量特征。使用STATA 14.2版本对数据进行分析。采用逻辑回归分析来研究睡眠特征、社交媒体使用与其他重要风险因素之间的关联。P值<0.05被认为具有统计学意义。
绝大多数研究参与者是社交媒体用户，相当一部分人睡眠质量较差。在社交媒体用户中，观察到睡眠质量差和间歇性/焦虑睡眠模式的风险显著增加。
卫生政策制定者在改善大学生睡眠质量时应充分考虑这些因素。
