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Currently accepted at: JMIR mHealth and uHealth

Date Submitted: Sep 4, 2017
Open Peer Review Period: Sep 4, 2017 - Sep 21, 2017
Date Accepted: Nov 6, 2017
(closed for review but you can still tweet)

This paper has been accepted and is currently in production.

It will appear shortly on 10.2196/mhealth.8866

The final accepted version (not copyedited yet) is in this tab.

The final, peer-reviewed published version of this preprint can be found here:

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

Blázquez Martín D, De La Torre I, Garcia-Zapirain B, Lopez-Coronado M, Rodrigues J

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

JMIR Mhealth Uhealth 2018;6(5):e111

DOI: 10.2196/mhealth.8866

PMID: 29743152

PMCID: 5966650

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

  • David Blázquez Martín; 
  • Isabel De La Torre; 
  • Begonya Garcia-Zapirain; 
  • Miguel Lopez-Coronado; 
  • Joel Rodrigues

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.


 Citation

Please cite as:

Blázquez Martín D, De La Torre I, Garcia-Zapirain B, Lopez-Coronado M, Rodrigues J

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

JMIR mHealth and uHealth. (forthcoming/in press)

DOI: 10.2196/mhealth.8866

URL: https://preprints.jmir.org/preprint/8866

PMID: 29743152

PMCID: 5966650

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.