Peltzer Karl, Pengpid Supa
ASEAN Institute for Health Development, Mahidol University, Salaya, Phutthamonthon, Nakhonpathom, Thailand, 73170,
Sleep Breath. 2015 May;19(2):499-508. doi: 10.1007/s11325-014-1036-3. Epub 2014 Jul 14.
The aim of this study is to estimate the prevalence of nocturnal sleeping problems and its associated factors among university students in mainly low- and middle-income countries.
A cross-sectional survey was conducted with 20,222 undergraduate university students (mean age, 20.8; SD = 2.8) from 27 universities in 26 countries across Asia, Africa and the Americas.
Overall, 10.4% reported severe or extreme nocturnal sleeping problems (male, 10.2%; female, 10.5%) in the past month. Noctural sleeping problems differed by country, from 32.9% in Indonesia to 3.0 % in Thailand among Asian countries, from 13.7% in Mauritius to 7.5% in South Africa, and from 11.8% in Jamaica to 6.1% in Columbia in the Americas. In multivariate logistic regression analysis, coming from a poor family background, staying off campus (on their own or with parents or guardians), stress (history of child sexual abuse), poor mental health (depression and PTSD symptoms), health risk behaviour (tobacco use, heavy internet use, gambling, skipping breakfast and having sustained an injury), lack of social support and poor academic performance were associated with nocturnal sleeping problems.
A significant prevalence of past-month nocturnal sleeping problems was found. Potential factors associated with the risk of reporting sleeping complaints were identified, which may assist in prevention strategies to promote a better quality of sleep.
本研究旨在估计主要低收入和中等收入国家大学生夜间睡眠问题的患病率及其相关因素。
对来自亚洲、非洲和美洲26个国家27所大学的20222名本科大学生(平均年龄20.8岁;标准差=2.8)进行了横断面调查。
总体而言,在过去一个月中,10.4%的人报告有严重或极度的夜间睡眠问题(男性为10.2%;女性为10.5%)。夜间睡眠问题因国家而异,在亚洲国家中,从印度尼西亚的32.9%到泰国的3.0%,在非洲,从毛里求斯的13.7%到南非的7.5%,在美洲,从牙买加的11.8%到哥伦比亚的6.1%。在多因素逻辑回归分析中,来自贫困家庭背景、住在校外(独自或与父母或监护人一起)、压力(儿童性虐待史)、心理健康状况差(抑郁和创伤后应激障碍症状)、健康风险行为(吸烟、过度上网、赌博、不吃早餐和受过伤)、缺乏社会支持和学业成绩差与夜间睡眠问题有关。
发现过去一个月夜间睡眠问题的患病率很高。确定了与报告睡眠问题风险相关的潜在因素,这可能有助于制定预防策略以促进更好的睡眠质量。