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

mHealth for Data Collection and Research (1080) Ecological Momentary Assessment (EMA) (349) Anxiety and Stress Disorders (1175)

Published on in Vol 7, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13418, first published .
The Validity of Daily Self-Assessed Perceived Stress Measured Using Smartphones in Healthy Individuals: Cohort Study

The Validity of Daily Self-Assessed Perceived Stress Measured Using Smartphones in Healthy Individuals: Cohort Study

The Validity of Daily Self-Assessed Perceived Stress Measured Using Smartphones in Healthy Individuals: Cohort Study

Authors of this article:

Helga Þórarinsdóttir1 Author Orcid Image ;   Maria Faurholt-Jepsen1 Author Orcid Image ;   Henrik Ullum2 Author Orcid Image ;   Mads Frost3 Author Orcid Image ;   Jakob E Bardram4 Author Orcid Image ;   Lars Vedel Kessing1 Author Orcid Image
Article Authors Cited by (13) Tweetations (7) Metrics

Journals

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  2. Chmitorz A, Kurth K, Mey L, Wenzel M, Lieb K, Tüscher O, Kubiak T, Kalisch R. Assessment of Microstressors in Adults: Questionnaire Development and Ecological Validation of the Mainz Inventory of Microstressors. JMIR Mental Health 2020;7(2):e14566 View
  3. Faurholt-Jepsen M, Þórarinsdóttir H, Vinberg M, Ullum H, Frost M, Bardram J, Kessing L. Automatically generated smartphone data and subjective stress in healthy individuals – a pilot study. Nordic Journal of Psychiatry 2020;74(4):293 View
  4. Faurholt-Jepsen M, Busk J, Vinberg M, Christensen E, Þórarinsdóttir H, Frost M, Bardram J, Kessing L. Daily mobility patterns in patients with bipolar disorder and healthy individuals. Journal of Affective Disorders 2021;278:413 View
  5. Wilf-Miron R, Kagan I, Saban M. Health behaviors of medical students decline towards residency: how could we maintain and enhance these behaviors throughout their training. Israel Journal of Health Policy Research 2021;10(1) View
  6. Ajibewa T, Robinson L, Toledo-Corral C, Miller A, Sonneville K, Hasson R. Acute Daily Stress, Daily Food Consumption, and the Moderating Effect of Disordered Eating among Adolescents with Overweight/Obesity. Childhood Obesity 2021;17(6):391 View
  7. Iqbal T, Simpkin A, Roshan D, Glynn N, Killilea J, Walsh J, Molloy G, Ganly S, Ryman H, Coen E, Elahi A, Wijns W, Shahzad A. Stress Monitoring Using Wearable Sensors: A Pilot Study and Stress-Predict Dataset. Sensors 2022;22(21):8135 View
  8. Coppens I, De Pessemier T, Martens L. Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders. User Modeling and User-Adapted Interaction 2024;34(1):147 View
  9. Wen A, Wolitzky-Taylor K, Gibbons R, Craske M. A randomized controlled trial on using predictive algorithm to adapt level of psychological care for community college students: STAND triaging and adapting to level of care study protocol. Trials 2023;24(1) View
  10. Bommarito J, Millar P. Effects of aerobic exercise on ambulatory blood pressure responses to acute partial sleep deprivation: impact of chronotype and sleep quality. American Journal of Physiology-Heart and Circulatory Physiology 2024;326(1):H291 View
  11. VANTTOLA P, VILDJIOUNAITE E, SALLINEN M, KALLIO J, PAAJANEN T, LUKANDER K, KYLLÖNEN V, PUTTONEN S. Different Methods to Detect Stress in Knowledge Workers: A Pilot Study for Long-term Monitoring. Journal of UOEH 2024;46(1):103 View
  12. 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
  13. Kallio J, Vildjiounaite E, Tervonen J, Bordallo López M. A Survey on Sensor-Based Techniques for Continuous Stress Monitoring in Knowledge Work Environments. ACM Transactions on Computing for Healthcare 2025 View