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

Digital Biomarkers and Digital Phenotyping (284) mHealth for Wellness, Behavior Change and Prevention (3315) mHealth for Data Collection and Research (1196) Fitness Trackers and Smart Pedometers/Accelerometers (665) Wearable Devices and Sensors (1133)

Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40667, first published .
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

Authors of this article:

Yuezhou Zhang1 Author Orcid Image ;   Amos A Folarin1, 2, 3, 4, 5 Author Orcid Image ;   Shaoxiong Sun1 Author Orcid Image ;   Nicholas Cummins1 Author Orcid Image ;   Srinivasan Vairavan6 Author Orcid Image ;   Linglong Qian1 Author Orcid Image ;   Yatharth Ranjan1 Author Orcid Image ;   Zulqarnain Rashid1 Author Orcid Image ;   Pauline Conde1 Author Orcid Image ;   Callum Stewart1 Author Orcid Image ;   Petroula Laiou1 Author Orcid Image ;   Heet Sankesara1 Author Orcid Image ;   Faith Matcham7, 8 Author Orcid Image ;   Katie M White7 Author Orcid Image ;   Carolin Oetzmann7 Author Orcid Image ;   Alina Ivan7 Author Orcid Image ;   Femke Lamers9, 10 Author Orcid Image ;   Sara Siddi11, 12, 13 Author Orcid Image ;   Sara Simblett14 Author Orcid Image ;   Aki Rintala15, 16 Author Orcid Image ;   David C Mohr17 Author Orcid Image ;   Inez Myin-Germeys15 Author Orcid Image ;   Til Wykes14, 18 Author Orcid Image ;   Josep Maria Haro11, 12, 13 Author Orcid Image ;   Brenda W J H Penninx9, 10 Author Orcid Image ;   Vaibhav A Narayan6 Author Orcid Image ;   Peter Annas19 Author Orcid Image ;   Matthew Hotopf3, 7, 18 Author Orcid Image ;   Richard J B Dobson1, 2, 3, 4, 5 Author Orcid Image ;   RADAR-CNS Consortium20
Article Authors Cited by (15) Tweetations (25) Metrics

Journals

  1. Zhang Y, Pratap A, Folarin A, Sun S, Cummins N, Matcham F, Vairavan S, Dineley J, Ranjan Y, Rashid Z, Conde P, Stewart C, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Rambla C, Simblett S, Nica R, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Annas P, Narayan V, Hotopf M, Dobson R. Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. npj Digital Medicine 2023;6(1) View
  2. Sun S, Folarin A, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Matcham F, Leightley D, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Nica R, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Vairavan S, Narayan V, Annas P, Hotopf M, Dobson R. Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis. Journal of Medical Internet Research 2023;25:e45233 View
  3. Latajka A, Stefańska M, Woźniewski M, Malicka I. Walking Speed and Risk of Falling Patients Operated for Selected Malignant Tumors. Healthcare 2023;11(23):3069 View
  4. Yang Y, Chen Y, Xie M. Exploring the transformative impact of traditional Chinese medicine on depression: Insights from animal models. World Journal of Psychiatry 2024;14(5):607 View
  5. Kim B, Ha K, Kim H, Bae H, Son M. Associations of depressive symptoms with lower extremity function and balance in Korean older adults. Epidemiology and Health 2024;46:e2024021 View
  6. Zhang Y, Stewart C, Ranjan Y, Conde P, Sankesara H, Rashid Z, Sun S, Dobson R, Folarin A. Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants. Journal of Affective Disorders 2025;375:412 View
  7. Yang S, Park S, Lu Y, Gill C. Identifying signals of mental health crisis in calls for police service. Journal of Criminal Justice 2025;97:102356 View
  8. Tsuchiya S, Koizumi T, Yamamoto K, Misono M, Kataoka Y. Using smartphone apps to compare characteristics of subjective ease/anxiety and daily walking in healthy employees. Current Psychology 2025;44(6):4371 View
  9. Tiwari S, Paramanik V. Lactobacillus fermentum ATCC 9338 Supplementation Prevents Depressive-Like Behaviors Through Glucocorticoid Receptor and N-Methyl-D-aspartate2b in Chronic Unpredictable Mild Stress Mouse Model. Molecular Neurobiology 2025;62(6):7927 View
  10. Garzón-Partida A, Padilla-Gómez C, Martínez-Fernández D, García-Estrada J, Luquin S, Fernández-Quezada D. The implementation of digital biomarkers in the diagnosis, treatment and monitoring of mood disorders: a narrative review. Frontiers in Digital Health 2025;7 View
  11. Lin S, Li S, Fang Y. Interpretable machine learning for depression recognition with spatiotemporal gait features among older adults: a cross-sectional study in Xiamen, China. BMC Geriatrics 2025;25(1) View
  12. Kan S, Chen N, Peng B, Zhang Y. Gait in depression: a bibliometric analysis and knowledge mapping of research trends over the past 20 years. Frontiers in Psychiatry 2025;16 View
  13. Shumski E, Lempke L, Howell D, Buckley T, Oldham J, Meehan W, Lynall R. Normative Data for Single- and Dual-Task Tandem Gait Performance in Collegiate Athletes. Sports Medicine 2025 View

Books/Policy Documents

  1. Gimeno-Gómez D, Bucur A, Cosma A, Martínez-Hinarejos C, Rosso P. Advances in Information Retrieval. View

Conference Proceedings

  1. Kalyanasundaram S, Phanord C, Ruzic L, Kaiser R, Chaspari T. 2025 IEEE 13th International Conference on Healthcare Informatics (ICHI). Enhancing Classification and Reasoning Abilities of Large Language Models for Predicting Affect from Ambulatory Data View