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Managing and Controlling Stress Using mHealth: Systematic Search in App Stores

David Blázquez Martín · Isabel de la Torre Díez · Begonya García-Zapirain · Miguel López-Coronado · Joel J. P. C. Rodrigues

25 citations0/0 files storedJMIR mhealth and uhealth

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Digital Mental Health Interventions Mindfulness and Compassion Interventions Mobile Health and mHealth Applications

Abstract

BACKGROUND: Traditional stress management techniques have been proven insufficient to tackle the needs of today's population. Computational-based techniques and now mobile health (mHealth) apps are showing promise to enable ease of use and access while educating end users on self-management. OBJECTIVE: The main aim of this paper was to put forward a systematic review of mHealth apps for stress management. METHODS: The scenario chosen for this study consists of a sample of the most relevant mHealth apps found on the British and Spanish online stores of the two main mobile operating systems: iOS and Android. The apps have been categorized and scored base on their impact, presence, number of results, language, and operating system. RESULTS: A total of 433 different mobile apps for stress management was analyzed. Of these apps, 21.7% (94/433) belonged to the "relaxing music" category, 10.9% (47/433) were in the "draw and paint" category, 1.2% (5/433) belonged to the "heart rate control" category, and 1.2% (5/433) fell under "integral methodology." Only 2.0% (8/433) of the apps qualified as high or medium interest while 98.0% were low interest. Furthermore, 2.0% (8/433) of the apps were available on both iOS and Android, and 98% of apps ran on only one platform (iOS or Android). CONCLUSIONS: There are many low-value apps available at the moment, but the analysis shows that they are adding new functionalities and becoming fully integrated self-management systems with extra capabilities such as professional assistance services and online support communities.

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2010Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy 2011Harnessing Context Sensing to Develop a Mobile Intervention for Depression 2008Preventing the Onset of Depressive Disorders: A Meta-Analytic Review of Psychological Interventions 2017The Benefit of Web- and Computer-Based Interventions for Stress: A Systematic Review and Meta-Analysis 2012Engagement with online mental health interventions 2007Hands-on Help 2017A Systematic Review and Meta-Analysis of e-Mental Health Interventions to Treat Symptoms of Posttraumatic Stress 2017Stress Management Apps With Regard to Emotion-Focused Coping and Behavior Change Techniques: A Content Analysis

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