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

JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions 2023 (409) JMIR Theme Issue: COVID-19 Special Issue (2554) Anxiety and Stress Disorders (1330) Ecological Momentary Assessment (EMA) (405) Outbreak and Pandemic Preparedness and Management (1826) Infectious Diseases (non-STD/STI) (1726) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Mass Media/Social Media Communication and Campaigns (574) Machine Learning (2076) mHealth for Data Collection and Research (1196)

Published on in Vol 8, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30833, first published .
Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Authors of this article:

Jihan Ryu1 Author Orcid Image ;   Emese Sükei2 Author Orcid Image ;   Agnes Norbury1 Author Orcid Image ;   Shelley H Liu1 Author Orcid Image ;   Juan José Campaña-Montes3 Author Orcid Image ;   Enrique Baca-Garcia3, 4 Author Orcid Image ;   Antonio Artés2, 3, 5 Author Orcid Image ;   M Mercedes Perez-Rodriguez1 Author Orcid Image
Article Authors Cited by (14) Tweetations (8) Metrics

Journals

  1. Sutherland Charvis J, Schulz C, Drohan M, Rafiee P, Stamates A, Yang M. A daily examination of perceived stress and coping strategies used among college students during COVID-19. Journal of American College Health 2024;72(9):3147 View
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  6. Liu H, Tao T, Chan S, Ma J, Lau A, Yeung E, Hobfoll S, Hou W. Daily routine disruptions and psychiatric symptoms amid COVID-19: a systematic review and meta-analysis of data from 0.9 million individuals in 32 countries. BMC Medicine 2024;22(1) View
  7. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  8. Gyorda J, Lekkas D, Jacobson N. Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students. Digital Biomarkers 2024;8(1):181 View
  9. Welch S, Bagheri K, Bethell M, Anastasio A, Tabarestani T, Bolognesi M. Evaluating the Quality and Reliability of Total Knee Arthroplasty Rehabilitation Exercises on the Social Media Platform TikTok. Arthroplasty Today 2024;30:101486 View
  10. Baydili İ, Tasci B, Tasci G. Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses. Diagnostics 2025;15(4):434 View
  11. Garzón-Partida A, Magaña-Plascencia K, Martínez-Fernández D, García-Estrada J, Luquin S, Fernández-Quezada D. Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study. JMIR Research Protocols 2025;14:e71374 View

Conference Proceedings

  1. Deulkar K, Narvekar M, Gandhi P, Gada D, Kamath S. 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE). Evaluating the Influence of Text Representation techniques on Diverse Machine Learning Algorithms for Stress Detection in Social media users View
  2. Monga S, Chaudhary R, Kumar D, Jahanavi , Jain V. 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON). Predicting Mental Health Stress Levels Through Sleep Patterns using Ensemble Models and Explainable AI View
  3. Anandavel V, Nalini P, Elamurugan B, Aranganathan P. 2024 6th International Conference on Computational Intelligence and Networks (CINE). Analyzing the Evolution of Technical Engagement of How COVID-19 Altered the Utilization Patterns of Social Networking Sites (SNS) and Online Messengers View