Use of the consumer-based meditation app calm for sleep disturbances: Cross-sectional survey study

Jennifer Huberty, Megan E. Puzia, Linda Larkey, Michael R. Irwin, Ana Maria Vranceanu

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

Background: 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. Objective: 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. Methods: 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. Results: 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 (ξ2 2=1548.8, P<.001), reduce depression or anxiety (ξ2 2=15.5, P<.001), or improve overall health (ξ2 2=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; F2=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 (ξ2 2=382.7, P<.001). Compared to good and poor sleepers, those with insomnia were more likely to use Calm after waking up at night (ξ2 2=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%; ξ22=109.3, P<.001). Conclusions: 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.

Original languageEnglish (US)
Article numbere19508
JournalJMIR Formative Research
Volume4
Issue number11
DOIs
StatePublished - Nov 2020

Keywords

  • Consumer behavior
  • Insomnia
  • Meditation
  • Mental health
  • Mindfulness
  • Mobile apps
  • Mobile phone

ASJC Scopus subject areas

  • Health Informatics
  • Medicine (miscellaneous)
  • Computer Science Applications

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