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

Depression and Mood Disorders; Suicide Prevention (1273) Mobile Health (mhealth) (2748) e-Mental Health and Cyberpsychology (1388) Methods and New Tools in Mental Health Research (424) mHealth for Data Collection and Research (907) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1302) Mobile Health in Psychiatry (399)

Published on in Vol 9, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34898, first published .
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

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 ;   Rebecca Bendayan1, 3 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 Author Orcid Image ;   Katie M White7 Author Orcid Image ;   Carolin Oetzmann7 Author Orcid Image ;   Alina Ivan7 Author Orcid Image ;   Femke Lamers8 Author Orcid Image ;   Sara Siddi9, 10, 11 Author Orcid Image ;   Elisabet Vilella10, 12 Author Orcid Image ;   Sara Simblett13 Author Orcid Image ;   Aki Rintala14, 15 Author Orcid Image ;   Stuart Bruce16 Author Orcid Image ;   David C Mohr17 Author Orcid Image ;   Inez Myin-Germeys14 Author Orcid Image ;   Til Wykes13, 18 Author Orcid Image ;   Josep Maria Haro9, 10, 11 Author Orcid Image ;   Brenda WJH Penninx8 Author Orcid Image ;   Vaibhav A Narayan6 Author Orcid Image ;   Peter Annas19 Author Orcid Image ;   Matthew Hotopf3, 7, 18 Author Orcid Image ;   Richard JB Dobson1, 2, 3, 4, 5 Author Orcid Image ;   RADAR-CNS consortium20
Article Authors Cited by (15) Tweetations (7) 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. Birk R, Samuel G. Digital Phenotyping for Mental Health: Reviewing the Challenges of Using Data to Monitor and Predict Mental Health Problems. Current Psychiatry Reports 2022;24(10):523 View
  3. Spang R, Haeger C, Mümken S, Brauer M, Voigt-Antons J, Gellert P. Smartphone Global Positioning System–Based System to Assess Mobility in Health Research: Development, Accuracy, and Usability Study. JMIR Rehabilitation and Assistive Technologies 2023;10:e42258 View
  4. Yang X, Knights J, Bangieva V, Kambhampati V. Association Between the Severity of Depressive Symptoms and Human-Smartphone Interactions: Longitudinal Study. JMIR Formative Research 2023;7:e42935 View
  5. Ilyas Y, Hassanbeigi Daryani S, Kiriella D, Pachwicewicz P, Boley R, Reyes K, Smith D, Zalta A, Schueller S, Karnik N, Stiles-Shields C. Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data. JMIR Formative Research 2023;7:e45309 View
  6. Lauvsnes A, Hansen T, Ankill S, Bae S, Gråwe R, Braund T, Larsen M, Langaas M. Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use Disorders in Norway: Prospective Observational Feasibility Study. JMIR Formative Research 2023;7:e45254 View
  7. Nguyen B, Torres A, Espinola C, Sim W, Kenny D, Campbell D, Lou W, Kapralos B, Beavers L, Peter E, Dubrowski A, Krishnan S, Bhat V. Development of a Data-Driven Digital Phenotype Profile of Distress Experience of Healthcare Workers During COVID-19 Pandemic. SSRN Electronic Journal 2022 View
  8. Gu Y, Wang L, Lyu S, Dong J, Liu B, Wang X. Assessing potential driving factors of the ecosystem service value of mariculture shellfish in China using a structural equation modeling approach. Frontiers in Marine Science 2023;10 View
  9. Shin J, Bae S. A Systematic Review of Location Data for Depression Prediction. International Journal of Environmental Research and Public Health 2023;20(11):5984 View
  10. Sun S, Denyer H, Sankesara H, Deng Q, Ranjan Y, Conde P, Rashid Z, Bendayan R, Asherson P, Bilbow A, Groom M, Hollis C, Folarin A, Dobson R, Kuntsi J. Remote Administration of ADHD-Sensitive Cognitive Tasks: A Pilot Study. Journal of Attention Disorders 2023;27(9):1040 View
  11. 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
  12. Leaning I, Ikani N, Savage H, Leow A, Beckmann C, Ruhé H, Marquand A. From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression. Neuroscience & Biobehavioral Reviews 2024;158:105541 View
  13. Zhu X, Yang Y, Xiao Z, Pooley A, Ozdemir E, Speyer L, Leung M, Thurston C, Kwok J, Li X, Eisner M, Ribeaud D, Murray A. Daily life affective dynamics as transdiagnostic predictors of mental health symptoms: An ecological momentary assessment study. Journal of Affective Disorders 2024;351:808 View
  14. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
  15. Zhang Y, Folarin A, Sun S, Cummins N, Ranjan Y, Rashid Z, Stewart C, Conde P, Sankesara H, Laiou P, Matcham F, White K, Oetzmann C, Lamers F, Siddi S, Simblett S, Vairavan S, Myin-Germeys I, Mohr D, Wykes T, Haro J, Annas P, Penninx B, Narayan V, Hotopf M, Dobson R. Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis. Journal of Medical Internet Research 2024;26:e55302 View