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Stress Check is a biofeedback based app aimed to help users monitor their stress levels. There is one function, to calculate the user’s stress rating by placing their finger in front of the camera, and an option of including a contextual note to help the user notice stress patterns or triggers. Users are then encouraged to do an activity aimed to maintain or reduce stress levels, however these activities are not available in the app. The app does not require an external attachment.
This review refers to the ‘Pro’ version, there is also an iTunes ‘Lite’ version. The only added features of Pro are unlimited storage and a sideways screen feature.

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Credibility

Overall Score: 1.80/5.00

Research base 0/3
Research support 1/2
Specificity of proposed intervention 1/3
Number of consumer ratings 3/3
Product advisory support 0/1
Software support 0/2

Total 5/14

date of rating:  July 2017


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User Experience

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More Information

Available for: Android 2.2 or later, iOS 4.0 or later (iPhone, iPad Pro, iPod Touch)
Developer: Azumio Inc
Type of Treatment: Symptom tracker
Targeted Conditions: Stress and Anxiety
Target Audience: Adults
Designed to be used in conjunction with a healthcare professional: No
Languages Available: English
Cost: Free
Get it on:  Google PlayiTunes Lite Version,  iTunes Pro Version

Research on this App

Heart rate variability (HRV) biofeedback training has good support as a way to manage and reduce stress symptoms (Goessl et al., 2017). Stress Check has not been investigated in an RCT, however an experiment tested a similar data collection method via an optical pulse sensor or photoplethysmograph run from a smartphone. Heathers et al. (2013) tested 10 adults at rest, during attentional load, and mild stress, finding the reliability of data collected via smartphone had promising results. When comparing smartphone pulse rate variability (SPRV) with the traditional electrocardiograph (ECG), the accuracy of the SPRV was approximately that of the ECG, and could be used to track changes in stress levels over time.

  • Goessl, V.C., Curtiss, J.E., & Hofmann, S. G. (2017). The effect of heart rate variability biofeedback training on stress and anxiety; A meta-analysis. Psychological Medicine, doi:10.1017/S0033291717001003
  • Heathers, J. J. (2013). Smartphone-enabled pulse rate variability: An alternative methodology for the collection of heart rate variability in psychophysiological research. International Journal Of Psychophysiology, 89(3), 297-304. doi: 10.1016/j.ijpsycho.2013.05.017