Sleep Quality of Students from Elementary School to University: A Cross-Sectional Study

• Published in: Nature and science of sleep Vol. 12; pp. 855 - 864
• Main Authors: Liu, Baohua, Gao, Fei, Zhang, Jianfeng, Zhou, Hongguo, Sun, Ning, Li, Laiyou, Liang, Libo, Ning, Ning, Wu, Qunhong, Zhao, Miaomiao
• Format: Journal Article
• Language: English
• Published: New Zealand Dove Medical Press Limited 01.01.2020; Taylor & Francis Ltd; Dove; Dove Medical Press
• Subjects: Analysis; Behavior; Cognition & reasoning; College students; Colleges & universities; Cross-sectional studies; different school stages; Elementary school students; Health aspects; High schools; Middle schools; Original Research; Physiology; psqi; Public health; Questionnaires; Secondary school students; Secondary schools; Sleep; Sleep disorders; sleep quality; Students; Suicides & suicide attempts; Surveys; Teenagers; China; students; different school stages; PSQI; sleep quality
• ISSN: 1179-1608; 1179-1608
• DOI: 10.2147/nss.s266493

Sleep affects a wide array of health outcomes and is associated with the quality of life. Among students, sleep quality is affected by school stage and grade; however, data regarding the different sleep-related problems students experience at different school stages are limited. In this study, we aimed to explore sleep quality among a student sample ranging from elementary school to university level. Overall, data were examined for 9392 subjects aged 9-22 years. Information on sociodemographic characteristics and other variables were collected through self-administered questionnaires. Sleep quality on school nights was evaluated using the standard Pittsburgh Sleep Quality Index; global score >5 was classified as poor sleep quality. For the high school sample, logistic regression analysis was used to estimate associations between sleep quality and certain factors. Of the elementary school, middle school, vocational high school, senior high school, and university students, 7.5%, 19.2%, 28.6%, 41.9%, and 28.5%, respectively, showed poor sleep quality. The high school students reported the highest prevalence of shorter sleep duration (70.8%), day dysfunction (84.7%), and subjective poor sleep quality (17.2%). The elementary school students showed the highest prevalence of poor sleep efficiency (17.9%). The university students showed the highest prevalence of sleep medication use (6.4%). The vocational high school students reported the highest prevalence of sleep latency (6.3%) and sleep disturbance (7.4%). Logistic regression modeling indicated that sleep quality is positively associated with school stage, grade, family atmosphere, academic pressure, and number of friends. Sleep quality and sleep features change greatly from elementary school to university. Interventions to improve sleep quality should consider targeting the specific issues students experience at each school stage. Alarmed by the high prevalence of poor sleep quality among high school students, it is recommended that high school students should be informed of their sleep matter and the consequences.