Huberty Jennifer, Puzia Megan E, Larkey Linda, Irwin Michael R, Vranceanu Ana-Maria
College of Health Solutions, Arizona State University, Phoenix, AZ, United States.
Behavioral Research and Analytics, LLC, Salt Lake City, UT, United States.
JMIR Form Res. 2020 Nov 13;4(11):e19508. doi: 10.2196/19508.
Over 30% of Americans report regular sleep disturbance, and consumers are increasingly seeking strategies to improve sleep. Self-guided mindfulness mobile apps may help individuals improve their sleep. Despite the recent proliferation of sleep content within commercially available mindfulness apps, there is little research on how consumers are using these apps for sleep.
We conducted a cross-sectional survey among subscribers to Calm, a popular, consumer-based, mindfulness-based meditation app, and described and compared how good sleepers, poor sleepers, and those with self-reported insomnia use the app for sleep.
Participants who were paying subscribers of Calm and had used a sleep component of Calm in the last 90 days were invited to complete an investigator-developed survey that included questions about sleep disturbance and the use of Calm for sleep. Based on self-reports of sleep disturbances and of insomnia diagnosis, participants were categorized as "good sleepers," "poor sleepers," or "those with insomnia diagnosis." Chi-square tests compared reasons for downloading the app and usage patterns across participants with and without sleep disturbance.
There was a total of 9868 survey respondents. Approximately 10% of participants (1008/9868, 10.21%) were good sleepers, 78% were poor sleepers (7565/9868, 77.66%), and 11% reported a diagnosis of insomnia (1039/9868, 10.53%). The sample was mostly White (8185/9797, 83.55%), non-Hispanic (8929/9423, 94.76%), and female (8166/9578, 85.26%). The most common reasons for sleep disturbances were racing thoughts (7084/8604, 82.33%), followed by stress or anxiety (6307/8604, 73.30%). Poor sleepers and those with insomnia were more likely than good sleepers to have downloaded Calm to improve sleep (χ=1548.8, P<.001), reduce depression or anxiety (χ=15.5, P<.001), or improve overall health (χ=57.6, P<.001). Respondents with insomnia used Calm most often (mean 5.417 days/week, SD 1.936), followed by poor sleepers (mean 5.043 days/week, SD 2.027; F=21.544, P<.001). The most common time to use Calm was while lying down to sleep (7607/9686, 78.54%), and bedtime use was more common among poor sleepers and those with insomnia (χ=382.7, P<.001). Compared to good and poor sleepers, those with insomnia were more likely to use Calm after waking up at night (χ=410.3, P<.001). Most participants tried to use Calm on a regular basis (5031/8597, 58.52%), but regular nighttime use was most common among those with insomnia (646/977, 66.1%), followed by poor sleepers (4040/6930, 58.30%; χ=109.3, P<.001).
Of the paying subscribers to Calm who have used one of the sleep components, approximately 90% have sleep difficulties, and 77% started using Calm primarily for sleep. These descriptive data point to areas of focus for continued refinement of app features and content, followed by prospective trials testing efficacy of consumer-based meditation mobile apps for improving sleep.
超过30%的美国人报告有经常的睡眠障碍,消费者越来越多地寻求改善睡眠的策略。自我引导的正念移动应用程序可能有助于个人改善睡眠。尽管最近市面上的正念应用程序中睡眠相关内容激增,但关于消费者如何使用这些应用程序改善睡眠的研究却很少。
我们对一款广受欢迎的基于消费者的正念冥想应用程序Calm的订阅者进行了一项横断面调查,描述并比较了睡眠良好者、睡眠不佳者以及自我报告患有失眠症的人如何使用该应用程序改善睡眠。
邀请那些是Calm付费订阅者且在过去90天内使用过Calm睡眠组件的参与者完成一份由研究人员开发的调查问卷,其中包括有关睡眠障碍以及使用Calm改善睡眠的问题。根据睡眠障碍的自我报告和失眠诊断情况,参与者被分为“睡眠良好者”、“睡眠不佳者”或“患有失眠症者”。卡方检验比较了有睡眠障碍和无睡眠障碍参与者下载该应用程序的原因及使用模式。
共有9868名受访者。约10%的参与者(1008/9868,10.21%)为睡眠良好者,78%为睡眠不佳者(7565/9868,77.66%),11%报告患有失眠症(1039/9868,10.53%)。样本大多为白人(8185/9797,83.55%)、非西班牙裔(8929/9423,94.76%)和女性(8166/9578,85.26%)。睡眠障碍最常见的原因是思绪纷飞(7084/8604,82.33%),其次是压力或焦虑(6307/8604,73.30%)。睡眠不佳者和患有失眠症的人比睡眠良好者更有可能为改善睡眠(χ=1548.8,P<.001)、减轻抑郁或焦虑(χ=15.5,P<.001)或改善整体健康(χ=57.6,P<.001)而下载Calm。患有失眠症的受访者使用Calm最频繁(平均每周5.417天,标准差1.936),其次是睡眠不佳者(平均每周5.043天,标准差2.027;F=21.544,P<.001)。使用Calm最常见的时间是躺下准备睡觉时(7607/9686,78.54%),而在就寝时间使用在睡眠不佳者和患有失眠症的人中更为常见(χ=382.7,P<.001)。与睡眠良好者和睡眠不佳者相比,患有失眠症的人更有可能在夜间醒来后使用Calm(χ=410.3,P<.001)。大多数参与者试图定期使用Calm(5031/8597,58.52%),但定期在夜间使用在患有失眠症的人中最为常见(646/977,66.1%),其次是睡眠不佳者(4040/6930,58.30%;χ=109.3,P<.001)。
在使用过睡眠组件之一的Calm付费订阅者中,约90%有睡眠困难,77%开始使用Calm主要是为了改善睡眠。这些描述性数据指出了应用程序功能和内容持续优化的重点领域,随后可进行前瞻性试验,测试基于消费者的冥想移动应用程序改善睡眠的效果。