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

Ecological Momentary Assessment (EMA) (366) mHealth for Data Collection and Research (1110) Anxiety and Stress Disorders (1233)

Published on in Vol 7, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13978, first published .
Exploring the Time Trend of Stress Levels While Using the Crowdsensing Mobile Health Platform, TrackYourStress, and the Influence of Perceived Stress Reactivity: Ecological Momentary Assessment Pilot Study

Exploring the Time Trend of Stress Levels While Using the Crowdsensing Mobile Health Platform, TrackYourStress, and the Influence of Perceived Stress Reactivity: Ecological Momentary Assessment Pilot Study

Exploring the Time Trend of Stress Levels While Using the Crowdsensing Mobile Health Platform, TrackYourStress, and the Influence of Perceived Stress Reactivity: Ecological Momentary Assessment Pilot Study

Authors of this article:

Rüdiger Pryss1 Author Orcid Image ;   Dennis John2 Author Orcid Image ;   Winfried Schlee3 Author Orcid Image ;   Wolff Schlotz4 Author Orcid Image ;   Johannes Schobel1 Author Orcid Image ;   Robin Kraft1 Author Orcid Image ;   Myra Spiliopoulou5 Author Orcid Image ;   Berthold Langguth3 Author Orcid Image ;   Manfred Reichert1 Author Orcid Image ;   Teresa O'Rourke6 Author Orcid Image ;   Henning Peters7 Author Orcid Image ;   Christoph Pieh6 Author Orcid Image ;   Claas Lahmann8 Author Orcid Image ;   Thomas Probst6 Author Orcid Image
Article Authors Cited by (17) Tweetations (1) Metrics

Journals

  1. Kraft R, Schlee W, Stach M, Reichert M, Langguth B, Baumeister H, Probst T, Hannemann R, Pryss R. Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain. Frontiers in Neuroscience 2020;14 View
  2. Axén I, Jensen I, Butler Forslund E, Grahn B, Jørgensen V, Opava C, Bodin L. Frequently repeated measurements -our experience of collecting data with SMS. BMC Medical Research Methodology 2020;20(1) View
  3. Hehlmann M, Schwartz B, Lutz T, Gómez Penedo J, Rubel J, Lutz W. The Use of Digitally Assessed Stress Levels to Model Change Processes in CBT - A Feasibility Study on Seven Case Examples. Frontiers in Psychiatry 2021;12 View
  4. Dai R, Lu C, Yun L, Lenze E, Avidan M, Kannampallil T. Comparing stress prediction models using smartwatch physiological signals and participant self-reports. Computer Methods and Programs in Biomedicine 2021;208:106207 View
  5. Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, Haug J, Schlee W, Holfelder M, Stach M, Schickler M, Baumeister H, Cohrdes C, Deckert J, Deserno L, Edler J, Eichner F, Greger H, Hein G, Heuschmann P, John D, Kestler H, Krefting D, Langguth B, Meybohm P, Probst T, Reichert M, Romanos M, Störk S, Terhorst Y, Weiß M, Pryss R. Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(14):7395 View
  6. Allgaier J, Schlee W, Langguth B, Probst T, Pryss R. Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform. Scientific Reports 2021;11(1) View
  7. O’Rourke T, Vogel C, John D, Pryss R, Schobel J, Haug F, Haug J, Pieh C, Nater U, Feneberg A, Reichert M, Probst T. The Impact of Coping Styles and Gender on Situational Coping: An Ecological Momentary Assessment Study With the mHealth Application TrackYourStress. Frontiers in Psychology 2022;13 View
  8. Elrafie N, Hassan G, El Fayoumi M, Ismail A. Investigating the perceived psychological stress in relevance to urban spaces’ different perceived personalities. Ain Shams Engineering Journal 2023;14(6):102116 View
  9. Karthan M, Martin R, Holl F, Swoboda W, Kestler H, Pryss R, Schobel J. Enhancing mHealth data collection applications with sensing capabilities. Frontiers in Public Health 2022;10 View
  10. Zhang E, Trujillo R, Templeton J, Poellabauer C. A Study on Mobile Crowd Sensing Systems for Healthcare Scenarios. IEEE Access 2023;11:140325 View
  11. Ottenstein C, Hasselhorn K, Lischetzke T. Measurement reactivity in ambulatory assessment: Increase in emotional clarity over time independent of sampling frequency. Behavior Research Methods 2024;56(6):6150 View
  12. Hentrich S, Lenkowski M, Seebaß K, Ottmann S, John D. Dezentrale Gesundheitsförderung nach dem Präventionsgesetz in Nürnberg: Evaluationsergebnisse und Erfahrungen aus dem Projekt „Gesundheit für alle im Stadtteil“. Das Gesundheitswesen 2024;86(02):103 View
  13. Reen J, Chan G, Orji R. iCare: Insights from the Evaluation of an App for Managing Stress Among Working-Class Indian Women. International Journal of Human–Computer Interaction 2025;41(9):5797 View
  14. Qu X, Luo Y, Liu Y, He X, Zhang Y. Cultural Adaptation and Psychometric Evaluation of the Chinese Version of the Perceived Stress Reactivity Scale. Psychology Research and Behavior Management 2025;Volume 18:375 View
  15. Zhang E, Trujillo R, Poellabauer C. Participant Engagement and Data Quality: Lessons Learned from a Mental Wellness Crowdsensing Study. Proceedings of the ACM on Human-Computer Interaction 2025;9(2):1 View
  16. Stach M, Ramović A, Reichert M, Pryss R. Comparative analysis of Mobile Crowdsensing and Ecological Momentary Assessment systems. Ecological Informatics 2025;90:103315 View

Conference Proceedings

  1. Vogel C, Pryss R, Schobel J, Schlee W, Beierle F. 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft). Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform View
  2. Vogel C, Stach M, Allgaier J, Scheible J, Hofmann F, Pryss R. 2023 International Conference on Computational Science and Computational Intelligence (CSCI). Exploring Concepts for Pipeline-Driven Mobile Health Data Dashboards: Insights from Personal Projects and GitHub Contributions View