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

Jihan RyuEmese SükeiAgnes NorburyShelley H LiuJuan José Campaña-MontesEnrique Baca-GarciaAntonio Artés-RodriguezM Mercedes Perez-Rodriquez
Published in: JMIR mental health (2021)
Patients who reported severe anxiety symptoms were less active in communication apps after the mandated lockdown and more engaged in social networking apps in the overall period, which suggested that there was a different pattern of digital social behavior for adapting to the crisis. Predictive modeling using digital biomarkers-passive-sensing of shifts in category-based social media app usage during the lockdown-can identify individuals at risk for psychiatric sequelae.
Keyphrases
  • social media
  • sleep quality
  • mental health
  • machine learning
  • health information
  • healthcare
  • public health
  • early onset
  • climate change
  • depressive symptoms
  • big data
  • physical activity
  • deep learning