de Vries, H. J., van der Wal, S. J., Delahaij, R., Venrooij, W., & Kamphuis, W. (2025). Real-time monitoring of military health and readiness: A perspective on future research. Frontiers in Digital Health, Volume 7-2025. https://doi.org/10.3389/fdgth.2025.1542140
Riedmann, K., Gay, S., Lott, S. A., Berent, J., Buhl, D. L., Dzierzewski, J. M., Kabiri, N. S., Kramer, F., Kremliovsky, M., Seitz, C., Testelmans, D., Thomas, K., de Vries, H., & Fromy, P. (2025). A patient first perspective of sleep disturbance across therapeutic areas: A systematic literature review of qualitative studies. Quality of Life Research. https://doi.org/10.1007/s11136-025-03932-z
van den Brink, W. J., Oosterman, J. E., Smid, D. J., de Vries, H. J., Atsma, D. E., Overeem, S., & Wopereis, S. (2025). Sleep as a window of cardiometabolic health: The potential of digital sleep and circadian biomarkers. DIGITAL HEALTH, 11, 20552076241288724. https://doi.org/10.1177/20552076241288724
de Vries, H. J., Delahaij, R., van Zwieten, M., Verhoef, H., & Kamphuis, W. (2025). The Effects of Self-Monitoring Using a Smartwatch and Smartphone App on Stress Awareness, Self-Efficacy, and Well-Being–Related Outcomes in Police Officers: Longitudinal Mixed Design Study. JMIR Mhealth Uhealth, 13, e60708. https://doi.org/10.2196/60708
Berkemeier, L., Kamphuis, W., Brouwer, A.-M., de Vries, H., Schadd, M., Van Baardewijk, J. U., Oldenhuis, H., Verdaasdonk, R., & Van Gemert-Pijnen, L. (2024). Measuring affective state: Subject-dependent and -independent prediction based on longitudinal multimodal sensing. IEEE Transactions on Affective Computing, 1–18. https://doi.org/10.1109/TAFFC.2024.3474098
Berkemeier, L., Kamphuis, W., de Vries, H., Brouwer, A.-M., Baardewijk, J. U. V., Schadd, M., Oldenhuis, H., Verdaasdonk, R., & Gemert-Pijnen, L. V. (2023). Towards continuous mental state detection in everyday settings: Investigating between-subjects variations in a longitudinal study. Neuroergonomics and Cognitive Engineering, 102(102). https://doi.org/10.54941/ahfe1003013
de Vries, H. (2023). Wearable and app-based resilience modelling in employees: Exploring the possibilities to model psychological resilience using wearable-measured heart rate variability and sleep [Thesis fully internal (DIV), University of Groningen]. doi: 10.33612/diss.572706492
de Vries, H., Oldenhuis, H., van der Schans, C., Sanderman, R., & Kamphuis, W. (2023). Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness? Applied Psychophysiology and Biofeedback. https://doi.org/10.1007/s10484-022-09578-8
de Vries, H. J., Pennings, H. J. M., van der Schans, C. P., Sanderman, R., Oldenhuis, H. K. E., & Kamphuis, W. (2023). Wearable-Measured Sleep and Resting Heart Rate Variability as an Outcome of and Predictor for Subjective Stress Measures: A Multiple N-of-1 Observational Study. Sensors, 23(1), 332. https://doi.org/10.3390/s23010332
de Vries, H., Kamphuis, W., van der Schans, C., Sanderman, R., & Oldenhuis, H. (2022). Trends in Daily Heart Rate Variability Fluctuations Are Associated with Longitudinal Changes in Stress and Somatisation in Police Officers. Healthcare, 10(1), 144. https://doi.org/10.3390/healthcare10010144
de Vries, H., Kamphuis, W., Oldenhuis, H., van der Schans, C., & Sanderman, R. (2021). Moderation of the stressor-strain process in interns by heart rate variability measured with a wearable and smartphone app: Within-subject design using continuous monitoring. JMIR Cardio, 5(2), e28731. https://doi.org/10.2196/28731
Kloek, C. J. J., Bossen, D., de Vries, H. J., de Bakker, D. H., Veenhof, C., & Dekker, J. (2020). Physiotherapists’ experiences with a blended osteoarthritis intervention: A mixed methods study. Physiotherapy Theory and Practice, 36(5), 572–579. https://doi.org/10.1080/09593985.2018.1489926
de Vries, H., Kamphuis, W., Oldenhuis, H., van der Schans, C., & Sanderman, R. (2019). Modelling employee resilience using wearables and apps: A conceptual framework and research design. International Journal on Advances in Life Sciences, 11(3–4), 110–117. http://www.iariajournals.org/life_sciences/tocv11n34.html
de Vries, H. J., Kloek, C. J., de Bakker, D. H., Dekker, J., Bossen, D., & Veenhof, C. (2017). Determinants of adherence to the online component of a blended intervention for patients with hip and/or knee osteoarthritis: A mixed methods study embedded in the e-exercise trial. Telemedicine and E-Health, 23(12), 1002–1010. https://doi.org/10.1089/tmj.2016.0264
de Vries, H., Kloek, C., Bossen, D., & Veenhof, C. (2016). Waarom wordt e-health (niet) gebruikt?: Fysiotherapeutisch gebruik van een blended e-health-interventie. FysioPraxis, 3(4), 35–37. PDF
de Vries, H. J., Kooiman, T. J. M., van Ittersum, M. W., van Brussel, M., & de Groot, M. (2016). Do activity monitors increase physical activity in adults with overweight or obesity? A systematic review and meta-analysis. Obesity, 24(10), 2078–2091. https://doi.org/10.1002/oby.21619