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Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach.

Marco HelbichJulian HagenauerHannah Roberts
Published in: Social psychiatry and psychiatric epidemiology (2019)
This study suggested that the perceived social environment plays, independent of socio-demographics, a role in depression severity. Contrasted with person-level and social neighborhood characteristics, the prominence of the physical neighborhood environment should not be overstated.
Keyphrases
  • physical activity
  • mental health
  • depressive symptoms
  • machine learning
  • sleep quality
  • healthcare
  • social support
  • artificial intelligence
  • big data