Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18253, first published .
Relationship Between Chronic Stress and Heart Rate Over Time Modulated by Gender in a Cohort of Office Workers: Cross-Sectional Study Using Wearable Technologies

Relationship Between Chronic Stress and Heart Rate Over Time Modulated by Gender in a Cohort of Office Workers: Cross-Sectional Study Using Wearable Technologies

Relationship Between Chronic Stress and Heart Rate Over Time Modulated by Gender in a Cohort of Office Workers: Cross-Sectional Study Using Wearable Technologies

Journals

  1. Hickey B, Chalmers T, Newton P, Lin C, Sibbritt D, McLachlan C, Clifton-Bligh R, Morley J, Lal S. Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review. Sensors 2021;21(10):3461 View
  2. Chaudhry B, Islam A, Matthieu M. Toward Designs of Workplace Stress Management Mobile Apps for Frontline Health Workers During the COVID-19 Pandemic and Beyond: Mixed Methods Qualitative Study. JMIR Formative Research 2022;6(1):e30640 View
  3. Magal N, Rab S, Goldstein P, Simon L, Jiryis T, Admon R. Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors. Chronic Stress 2022;6:247054702211009 View
  4. Clay I, Cormack F, Fedor S, Foschini L, Gentile G, van Hoof C, Kumar P, Lipsmeier F, Sano A, Smarr B, Vandendriessche B, De Luca V. Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint. Journal of Medical Internet Research 2022;24(5):e35951 View
  5. Custers P, Verbrugghe M, Braeckman L. Het gebruik van wearables bij chronische stress en burn-out. Tijdschrift voor Geneeskunde 2021 View
  6. Robinson T, Condell J, Ramsey E, Leavey G. Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices. International Journal of Environmental Research and Public Health 2023;20(3):2636 View
  7. González Ramírez M, García Vázquez J, Rodríguez M, Padilla-López L, Galindo-Aldana G, Cuevas-González D. Wearables for Stress Management: A Scoping Review. Healthcare 2023;11(17):2369 View
  8. Fontes L, Machado P, Vinkemeier D, Yahaya S, Bird J, Ihianle I. Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques. Sensors 2024;24(4):1096 View
  9. Jørgensen T, Dantoft T, Petersen M, Gormsen L, Winter-Jensen M, Fink P, Linneberg A, Benros M, Eplov L, Bjerregaard A, Schovsbo S, Brinth L. Is reduced heart rate variability associated with functional somatic disorders? A cross-sectional population-based study; DanFunD. BMJ Open 2024;14(2):e073909 View
  10. Magtibay K, Umapathy K. A Review of Tools and Methods for Detection, Analysis, and Prediction of Allostatic Load Due to Workplace Stress. IEEE Transactions on Affective Computing 2024;15(1):357 View
  11. Wilson V, Somers K, Peper E. SPECIAL ISSUE: Male-Female Differences in Psychophysiological Stress Profiles Before and After a Group Relaxation/Biofeedback Stress Management Program. Biofeedback 2024;52(1):1 View
  12. Vidanage K, Noor N, Sathsara S. Computationally intelligent workflow for improved psychotherapy interventions: an ontology-based approach. International Journal of Information Technology 2024 View

Books/Policy Documents

  1. Morande S, Tewari V, Gul K. Healthcare Access - New Threats, New Approaches. View
  2. Bello-Orgaz G, Menéndez H. Information Systems and Technologies. View