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

Pain in Children and Adolescents (58) Obstetrics, Gynecology, and Reproductive Medicine (329) Usability of Apps and User Perceptions of mHealth (1188) Web-based and Mobile Health Interventions (4018) Participatory Design and Participatory Research (418) Mobile Health (mhealth) (3464) Mindfulness and Meditation (266) Design and Formative Evaluation of Mobile Apps (809)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54658, first published .
Understanding Adolescents’ Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study

Understanding Adolescents’ Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study

Understanding Adolescents’ Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study

Authors of this article:

Michelle M Gagnon1 Author Orcid Image ;   Alexandra R Brilz1 Author Orcid Image ;   Nicole M Alberts2 Author Orcid Image ;   Jennifer L Gordon3 Author Orcid Image ;   Tracie L Risling4 Author Orcid Image ;   Jennifer N Stinson5, 6 Author Orcid Image
Article Authors Cited by (3) Tweetations (9) Metrics

Journals

  1. Breton Z, Stern E, Pinault M, Lhuillery D, Petit E, Panel P, Alexaline M. A Digital Program for Daily Life Management With Endometriosis: Pilot Cohort Study on Symptoms and Quality of Life Among Participants. JMIR Formative Research 2025;9:e58262 View
  2. 郑 雅. Pathogenesis of Low Back Pain Associated with Primary Dysmenorrhea and Research Progress on Non-Pharmacological Interventions. Advances in Clinical Medicine 2025;15(11):588 View

Conference Proceedings

  1. Ji X, Zeng L, Yan Z, Guo Y, Chen H, Wang Y, Xing G. Proceedings of the 23rd Annual International Conference on Mobile Systems, Applications and Services. Poster: Mobile Menstrual Health Advising with Multimodal Feature Engineering View