Evidence map›Paper›PMID 33185552›Full record

ArticleJMIR formative research2020

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

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05285956 (Feasibility of Calm to Reduce Stress and Improve Sleep During Pregnancy), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05285956 naterminatednot on this mapstarted 2022, after this paper: background citation

Feasibility of Calm to Reduce Stress and Improve Sleep During Pregnancy

TypeinterventionalSponsorCalm.com, Inc.Ran2022 to 2022Enrolled4ConditionsPregnancy RelatedArmsCalm app
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Jennifer HubertyCollege of Health Solutions, Arizona State University, Phoenix, AZ, United States.ORCID https://orcid.org/0000-0002-4956-7169
Megan E PuziaBehavioral Research and Analytics, LLC, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-5188-0445
Linda LarkeyEdson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, United States.ORCID https://orcid.org/0000-0001-7681-6813
Michael R IrwinCousins Center for Psychoneuroimmunology, University of Calfornia, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-1502-8431
Ana-Maria VranceanuIntegrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Cambridge, MA, United States.ORCID https://orcid.org/0000-0003-3994-6488
Arizona State University · USBehavioral Tech · USHarvard University · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver 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.

objectiveWe 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.

methodsParticipants 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.

resultsThere 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

conclusionsOf 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.

Indexed as

consumer behaviorinsomniameditationmental healthmindfulnessmobile appsmobile phone

Identifiers

PMID33185552
PMCPMC7695531
OpenAlexW3096815874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.