Levenson Jessica C, Shensa Ariel, Sidani Jaime E, Colditz Jason B, Primack Brian A
Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Center for Research on Media, Technology, and Health, University of Pittsburgh, Pittsburgh, PA 15260, USA; Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Prev Med. 2016 Apr;85:36-41. doi: 10.1016/j.ypmed.2016.01.001. Epub 2016 Jan 11.
Many factors contribute to sleep disturbance among young adults. Social media (SM) use is increasing rapidly, and little is known regarding its association with sleep disturbance.
In 2014 we assessed a nationally representative sample of 1788 U.S. young adults ages 19-32. SM volume and frequency were assessed by self-reported minutes per day spent on SM (volume) and visits per week (frequency) using items adapted from the Pew Internet Research Questionnaire. We assessed sleep disturbance using the brief Patient-Reported Outcomes Measurement Information System (PROMIS®) sleep disturbance measure. Analyses performed in Pittsburgh utilized chi-square tests and ordered logistic regression using sample weights in order to estimate effects for the total U.S.
In models that adjusted for all sociodemographic covariates, participants with higher SM use volume and frequency had significantly greater odds of having sleep disturbance. For example, compared with those in the lowest quartile of SM use per day, those in the highest quartile had an AOR of 1.95 (95% CI=1.37-2.79) for sleep disturbance. Similarly, compared with those in the lowest quartile of SM use frequency per week, those in the highest quartile had an AOR of 2.92 (95% CI=1.97-4.32) for sleep disturbance. All associations demonstrated a significant linear trend.
The strong association between SM use and sleep disturbance has important clinical implications for the health and well-being of young adults. Future work should aim to assess directionality and to better understand the influence of contextual factors associated with SM use.
许多因素导致年轻人睡眠障碍。社交媒体(SM)的使用正在迅速增加,而关于其与睡眠障碍的关联知之甚少。
2014年,我们评估了1788名年龄在19 - 32岁的美国年轻人的全国代表性样本。通过使用改编自皮尤互联网调查问卷的项目,以自我报告的每天花在SM上的分钟数(使用量)和每周访问次数(频率)来评估SM使用量和频率。我们使用简短的患者报告结果测量信息系统(PROMIS®)睡眠障碍测量方法评估睡眠障碍。在匹兹堡进行的分析采用卡方检验和有序逻辑回归,并使用样本权重以估计对美国总体的影响。
在对所有社会人口统计学协变量进行调整的模型中,SM使用量和频率较高的参与者出现睡眠障碍的几率显著更高。例如,与每天SM使用量处于最低四分位数的人相比,最高四分位数的人出现睡眠障碍的调整后比值比(AOR)为1.95(95%置信区间=1.37 - 2.79)。同样,与每周SM使用频率处于最低四分位数的人相比,最高四分位数的人出现睡眠障碍的AOR为2.92(95%置信区间=1.97 - 4.32)。所有关联均呈现显著的线性趋势。
SM使用与睡眠障碍之间的紧密关联对年轻人的健康和幸福具有重要的临床意义。未来的研究应旨在评估方向性,并更好地理解与SM使用相关的背景因素的影响。