Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias
Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias
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DOI：
10.1016/j.sleep.2013.08.799
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发表时间：
2014-02-01
期刊：
影响因子：
4.8
通讯作者：
Taheri, Shahrad
中科院分区：
文献类型：
--
作者：
Arora, Teresa;Broglia, Emma;Taheri, Shahrad
目的：我们验证了工作日睡前使用六种技术与睡眠量、睡眠质量和睡眠异常相关的八项睡眠参数显著相关的假设。方法：在我们的横断面研究中，我们先前进行了有效的年龄相适应的问卷调查（学校睡眠习惯调查，技术使用问卷）。参与的青少年（n = 738； 54.5%的男孩）年龄在11-13岁之间，2010年来自英国中部地区。结果：频繁使用各类科技产品与工作日睡眠时间（小时）呈显著负相关。经常听音乐和玩视频游戏的人睡眠开始时间明显延长（beta值= 7.03[标准误差{SE}， 2.66]; P < 0.01； beta值= 6.17 [SE, 2.42]; P < 0.05）。频繁的早醒与频繁使用所有类型的技术显著相关。在频繁观看电视的人群中观察到的影响最大（优势比[OR]， 4.05[95%可信区间{CI}， 2.06-7.98]）。入睡困难与频繁使用手机、视频游戏和社交网络显著相关，其中音乐听众的影响最大（OR, 2.85 [95% CI, 1.58-5.13]）。音乐听众频繁做噩梦的风险增加（OR, 2.02 [95% CI, 1.22-3.45]）。经常使用除音乐和手机以外的所有科技产品，与更大的认知障碍显著相关。经常看电视的人报告梦游频率高的可能性几乎是四倍（OR, 3.70 [95% CI, 1.89-7.27]）。结论：工作日睡前频繁使用科技产品与多项睡眠参数的显著不良影响相关。如果在其他样本和纵向上得到证实，通过更好地管理技术来改善睡眠卫生可以增强青少年人口的健康和福祉。(C) 2013 Elsevier b.v.版权所有
Objective: We tested the hypothesis that weekday bedtime use of six technologies would be significantly associated with eight sleep parameters studied relating to sleep quantity, sleep quality, and parasomnias.Methods: In our cross-sectional study, we previously administered validated age-appropriate questionnaires (School Sleep Habits Survey, Technology Use Questionnaire). Participating adolescents (n = 738; 54.5% boys) were aged 11-13 years and were from the Midlands region of the United Kingdom in 2010.Results: Frequent use of all technology types was significantly inversely associated with weekday sleep duration (hours). Frequent music listeners and video gamers had significantly prolonged sleep onset (beta = 7.03 [standard error {SE}, 2.66]; P < .01 and beta = 6.17 [SE, 2.42]; P < .05, respectively). Frequent early awakening was significantly associated with frequent use of all technology types. The greatest effect was observed in frequent television viewers (odds ratio [OR], 4.05 [95% confidence interval {CI}, 2.06-7.98]). Difficulty falling asleep was significantly associated with frequent mobile telephone use, video gaming, and social networking, with music listeners demonstrating the greatest effect (OR, 2.85 [95% CI, 1.58-5.13]). Music listeners were at increased risk for frequent nightmares (OR, 2.02 [95% CI, 1.22-3.45]). Frequent use of all technologies except for music and mobile telephones was significantly associated with greater cognitive difficulty in shutting off. Frequent television viewers were almost four times more likely to report higher sleepwalking frequency (OR, 3.70 [95% CI, 1.89-7.27]).Conclusions: Frequent weekday technology use at bedtime was associated with significant adverse effects on multiple sleep parameters. If confirmed in other samples and longitudinally, improving sleep hygiene through better management of technology could enhance the health and well-being of adolescent populations. (C) 2013 Elsevier B. V. All rights reserved.