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Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data.

Jonas Christoffer TanaJyrki KettunenEmil EirolaHeikki Paakkonen
Published in: JMIR mental health (2018)
Help seeking for depression has clear diurnal patterns, with significant rise in depression-related query volumes toward the evening and night. Thus, search engine query data support the notion of the evening-worse pattern in diurnal mood variation. Information on the timely nature of depression-related interest on an hourly level could improve the chances for early intervention, which is beneficial for positive health outcomes.
Keyphrases
  • health information
  • sleep quality
  • depressive symptoms
  • randomized controlled trial
  • mental health
  • social media
  • electronic health record
  • big data
  • healthcare
  • artificial intelligence