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

mHealth for Wellness, Behavior Change and Prevention (3488) Depression and Mood Disorders; Suicide Prevention (1798) Anxiety and Stress Disorders (1397) Mindfulness and Meditation (287)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27106, first published .
Woman using a smartphone app with emotion selection options

Evaluation of Mood Check-in Feature for Participation in Meditation Mobile App Users: Retrospective Longitudinal Analysis

Evaluation of Mood Check-in Feature for Participation in Meditation Mobile App Users: Retrospective Longitudinal Analysis

Authors of this article:

Jennifer Huberty1 Author Orcid Image ;   Jeni Green1 Author Orcid Image ;   Megan Puzia2 Author Orcid Image ;   Chad Stecher1 Author Orcid Image
Article Authors Cited by (24) Tweetations (1) Metrics

Journals

  1. Taylor G, Bylund C, Kastrinos A, Alpert J, Puig A, Krajewski J, Sharma B, Fisher C. Practicing Mindfulness through mHealth Applications: Emerging Adults’ Health-Enhancing and Inhibiting Experiences. International Journal of Environmental Research and Public Health 2022;19(5):2619 View
  2. Fowers R, Berardi V, Huberty J, Stecher C. Using mobile meditation app data to predict future app engagement: an observational study. Journal of the American Medical Informatics Association 2022;29(12):2057 View
  3. Eisenstadt M, Liverpool S, Infanti E, Ciuvat R, Carlsson C. Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-being in the General Population: Systematic Review and Meta-analysis. JMIR Mental Health 2021;8(11):e31170 View
  4. Kim S, Park J, Chung K. The Relationship Between the Big Five Personality Traits and the Theory of Planned Behavior in Using Mindfulness Mobile Apps: Cross-sectional Survey. Journal of Medical Internet Research 2022;24(11):e39501 View
  5. Eisenstadt A, Liverpool S, Metaxa A, Ciuvat R, Carlsson C. Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis. JMIR Formative Research 2021;5(11):e31064 View
  6. Melcher J, Patel S, Scheuer L, Hays R, Torous J. Assessing engagement features in an observational study of mental health apps in college students. Psychiatry Research 2022;310:114470 View
  7. Stecher C, Cloonan S, Linnemayr S, Huberty J. Combining Behavioral Economics–Based Incentives With the Anchoring Strategy: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e39930 View
  8. Chan G, Alslaity A, Wilson R, Orji R. Feeling Moodie: Insights from a Usability Evaluation to Improve the Design of mHealth Apps. International Journal of Human–Computer Interaction 2024;40(19):5857 View
  9. Zhu Z, Qin S, Dodd A, Conti M. Understanding the relationships between emotion regulation strategies and Big Five personality traits for supporting effective emotion regulation tools/interventions design. Advanced Design Research 2023;1(1):38 View
  10. Chang S, Alon N, Torous J. An exploratory analysis of the effect size of the mobile mental health Application, mindLAMP. DIGITAL HEALTH 2023;9 View
  11. Cearns M, Clark S. The Effects of Dose, Practice Habits, and Objects of Focus on Digital Meditation Effectiveness and Adherence: Longitudinal Study of 280,000 Digital Meditation Sessions Across 103 Countries. Journal of Medical Internet Research 2023;25:e43358 View
  12. Kermavnar T, Desmet P. Technology and Meditation: Exploring the Challenges and Benefits of a Physical Device to Support Meditation Routine. Multimodal Technologies and Interaction 2024;8(2):9 View
  13. Imashev A, Kydyrbekova A, Oralbayeva N, Kenzhekhan A, Sandygulova A. Learning sign language with mixed reality applications - the exploratory case study with deaf students. Education and Information Technologies 2024;29(13):17261 View
  14. Boucher E, Raiker J. Engagement and retention in digital mental health interventions: a narrative review. BMC Digital Health 2024;2(1) View
  15. Boege S, Milne-Ives M, Ananthakrishnan A, Cong C, Sharma A, Anderson D, Meinert E. Mental Health Monitoring for Young People Through Mood Apps: Protocol for a Scoping Review and Systematic Search in App Stores. JMIR Research Protocols 2024;13:e56400 View
  16. Abbasi N, Laban G, Ford T, Jones P, Gunes H. A Longitudinal Study of Child Wellbeing Assessment via Online Interactions with a Social Robot. ACM Transactions on Human-Robot Interaction 2025;14(3):1 View
  17. Li J, Bian W, Diao Y, Zou T, Yang X, Kang B. A QR-Enabled Multi-Participant Quiz System for Educational Settings with Configurable Timing. Applied System Innovation 2025;8(6):158 View
  18. Lee S, Park J. Systematic review and meta-analysis of effects of standalone digital mindfulness-based interventions on sleep in adults. npj Digital Medicine 2025;8(1) View
  19. Kronthaler S, Kosman E, Tissen-Diabaté T, Mühle E, Weber- Schallauer L, Pross T, Karsten M, Beier K, Hatzler L. Adherence, Acceptability, and Sexual Health Outcomes of the Odeya App–Based Intervention for Sexual Distress in Women With Endometriosis: Randomized Controlled Mixed Methods Trial. Journal of Medical Internet Research 2026;28:e86042 View
  20. Venkatesan T, Demetriou A, Hempel A, Bowling D. A scoping review of music-based digital therapeutics for stress, anxiety, and depression. Frontiers in Human Neuroscience 2026;20 View
  21. Sullivan M, Cloonan S, Huberty J, Stecher C. What predicts meditation app engagement? an evaluation of user characteristics and motivation. Psychology & Health 2026:1 View

Books/Policy Documents

  1. Chan G, Alslaity A, Wilson R, Rajeshsingh P, Orji R. Intelligent Systems and Applications. View

Conference Proceedings

  1. Alslaity A, Chan G, Orji R, Wilson R. CHI Conference on Human Factors in Computing Systems Extended Abstracts. Insights From Longitudinal Evaluation of Moodie Mental Health App View
  2. Wu M, Jiang Z, Fan Y, Feng R, Dharmavaram S, Polowitz M, Fallon S, Islam B, Benson L, Tung I, Creswell D, Xu X. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent System View