This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2774) mHealth for Wellness, Behavior Change and Prevention (3072) Anxiety and Stress Disorders (1160) Mindfulness and Meditation (234)

Published on in Vol 3, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12227, first published .
Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study

Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study

Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study

Authors of this article:

David Plans1, 2 Author Orcid Image ;   Davide Morelli1, 3 Author Orcid Image ;   Stefan Sütterlin4, 5 Author Orcid Image ;   Lucie Ollis6 Author Orcid Image ;   Georgia Derbyshire6 Author Orcid Image ;   Mark Cropley6 Author Orcid Image
Article Authors Cited by (12) Tweetations (33) Metrics

Journals

  1. Stange J, Kleiman E, Mermelstein R, Trull T. Using ambulatory assessment to measure dynamic risk processes in affective disorders. Journal of Affective Disorders 2019;259:325 View
  2. Cropley M, Collis H. The Association Between Work-Related Rumination and Executive Function Using the Behavior Rating Inventory of Executive Function. Frontiers in Psychology 2020;11 View
  3. Stange J, Hamilton J, Shepard R, Wu J, Fresco D, Alloy L. Inflexible autonomic responses to sadness predict habitual and real-world rumination: A multi-level, multi-wave study. Biological Psychology 2020;153:107886 View
  4. Chelidoni O, Plans D, Ponzo S, Morelli D, Cropley M. Exploring the Effects of a Brief Biofeedback Breathing Session Delivered Through the BioBase App in Facilitating Employee Stress Recovery: Randomized Experimental Study. JMIR mHealth and uHealth 2020;8(10):e19412 View
  5. Saito R, Sawamura D, Yoshida K, Sakai S. Relationship between the proficiency level and anxiety-reducing effect in a one-time heart rate variability biofeedback. Medicine 2021;100(45):e27742 View
  6. Kocsel N, Köteles F, Galambos A, Kökönyei G. The interplay of self-critical rumination and resting heart rate variability on subjective well-being and somatic symptom distress: A prospective study. Journal of Psychosomatic Research 2022;152:110676 View
  7. Jiménez-Ocaña A, Pantoja A, Valderrama M, Giraldo L. A Systematic Review of Technology-Aided Stress Management Systems: Automatic Measurement, Detection and Control. IEEE Access 2023;11:116109 View
  8. Ruchiwit M, Vuthiarpa S, Ruchiwit K, Muijeen K, Phanphairoj K. A Synthesized Model for Applying Stress Management and Biofeedback Interventions in Research Utilization: A Systematic Review and Meta-analysis. Clin. Pract. Epidemiol. Ment. Health 2024;20(1) View
  9. Reimer L, Nissen L, von Scheidt M, Perl B, Wiehler J, Najem S, Limbourg F, Tacke T, Müller A, Jonas S, Schunkert H, Starnecker F. User-centered development of an mHealth app for cardiovascular prevention. DIGITAL HEALTH 2024;10 View
  10. Schleicher D, Jarvers I, Kocur M, Kandsperger S, Brunner R, Ecker A. Does it need an app? – Differences between app-guided breathing and natural relaxation in adolescents after acute stress. Psychoneuroendocrinology 2024;169:107148 View
  11. Stange J, Xu E, Zapetis S, Li J, Jenkins L, Jimmy J, Ye Z, Sellery P, Phanord C, Forbes E, Trull T, Mermelstein R, Ajilore O. Neurophysiological Markers of Regulation Success in Everyday Life in Depression. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2025 View

Books/Policy Documents

  1. Gál É. Smartphone Apps for Health and Wellness. View