Efficacy of the mindfulness meditation mobile app "calm" to reduce stress among college students: Randomized controlled trial

Jennifer Huberty, Jeni Green, Christine Glissmann, Linda Larkey, Megan Puzia, Chong Lee

Research output: Contribution to journalArticle

Abstract

Background: College students experience high levels of stress. Mindfulness meditation delivered via a mobile app may be an appealing, efficacious way to reduce stress in college students. Objective: We aimed to test the initial efficacy and sustained effects of an 8-week mindfulness meditation mobile app-Calm-compared to a wait-list control on stress, mindfulness, and self-compassion in college students with elevated stress. We also explored the intervention's effect on health behaviors (ie, sleep disturbance, alcohol consumption [binge drinking], physical activity, and healthy eating [fruit and vegetable consumption]) and the feasibility and acceptability of the app. Methods: This study was a randomized, wait-list, control trial with assessments at baseline, postintervention (8 weeks), and at follow-up (12 weeks). Participants were eligible if they were current full-time undergraduate students and (1) at least 18 years of age, (2) scored ≥14 points on the Perceived Stress Scale, (3) owned a smartphone, (4) were willing to download the Calm app, (5) were willing to be randomized, and (7) were able to read and understand English. Participants were asked to meditate using Calm at least 10 minutes per day. A P value ≤.05 was considered statistically significant. Results: A total of 88 participants were included in the analysis. The mean age (SD) was 20.41 (2.31) years for the intervention group and 21.85 (6.3) years for the control group. There were significant differences in all outcomes (stress, mindfulness, and self-compassion) between the intervention and control groups after adjustment for covariates postintervention (all P<.04). These effects persisted at follow-up (all P<.03), except for the nonreacting subscale of mindfulness (P=.08). There was a significant interaction between group and time factors in perceived stress (P=.002), mindfulness (P<.001), and self-compassion (P<.001). Bonferroni posthoc tests showed significant within-group mean differences for perceived stress in the intervention group (P<.001), while there were no significant within-group mean differences in the control group (all P>.19). Similar results were found for mindfulness and self-compassion. Effect sizes ranged from moderate (0.59) to large (1.24) across all outcomes. A significant group × time interaction in models of sleep disturbance was found, but no significant effects were found for other health behaviors. The majority of students in the intervention group reported that Calm was helpful to reduce stress and stated they would use Calm in the future. The majority were satisfied using Calm and likely to recommend it to other college students. The intervention group participated in meditation for an average of 38 minutes/week during the intervention and 20 minutes/week during follow-up. Conclusions: Calm is an effective modality to deliver mindfulness meditation in order to reduce stress and improve mindfulness and self-compassion in stressed college students. Our findings provide important information that can be applied to the design of future studies or mental health resources in university programs.

Original languageEnglish (US)
Article numbere14273
JournalJournal of medical Internet research
Volume21
Issue number6
DOIs
StatePublished - Jan 1 2019

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Mobile Applications
Mindfulness
Meditation
Randomized Controlled Trials
Students
Health Behavior
Sleep
Binge Drinking
Control Groups
Health Resources
Alcohol Drinking
Vegetables
Fruit
Mental Health
Exercise

Keywords

  • Meditation
  • Mental health
  • Mindfulness
  • Mobile phone
  • Smartphone
  • Technology

ASJC Scopus subject areas

  • Health Informatics

Cite this

Efficacy of the mindfulness meditation mobile app "calm" to reduce stress among college students : Randomized controlled trial. / Huberty, Jennifer; Green, Jeni; Glissmann, Christine; Larkey, Linda; Puzia, Megan; Lee, Chong.

In: Journal of medical Internet research, Vol. 21, No. 6, e14273, 01.01.2019.

Research output: Contribution to journalArticle

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