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

Ecological Momentary Assessment (EMA) (272) mHealth for Data Collection and Research (770) Anxiety and Stress Disorders (914)

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 Pryss 1 Author Orcid Image ;   Dennis John 2 Author Orcid Image ;   Winfried Schlee 3 Author Orcid Image ;   Wolff Schlotz 4 Author Orcid Image ;   Johannes Schobel 1 Author Orcid Image ;   Robin Kraft 1 Author Orcid Image ;   Myra Spiliopoulou 5 Author Orcid Image ;   Berthold Langguth 3 Author Orcid Image ;   Manfred Reichert 1 Author Orcid Image ;   Teresa O'Rourke 6 Author Orcid Image ;   Henning Peters 7 Author Orcid Image ;   Christoph Pieh 6 Author Orcid Image ;   Claas Lahmann 8 Author Orcid Image ;   Thomas Probst 6 Author Orcid Image
Article Authors Cited by (10) 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