Depression predicts self assessment of social function in both patients with schizophrenia and healthy people

Lisa N N. Oliveri, Adam W W. Awerbuch, L. Fredrik Jarskog, David L L. Penn, Amy Pinkham, Philip D D. Harvey

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Background: Impairments in social functioning are central to Schizophrenia (SCZ). Patients with SCZ have challenges in the ability to evaluate their functioning. A correlate of self-assessments in SCZ is depression, wherein negligible depression predicts overestimation. Healthy individuals misestimate their functioning, but mild dysthymia predicts accuracy. We examined depression, gender, and schizophrenia as predictors of self-reported everyday functioning. Methods: 218 people with SCZ and 154 healthy controls self-reported their social functioning. They self-reported their depression with the Beck Depression Inventory (BDI) and their social cognitive ability on the Observable Social Cognition Rating Scale (OSCARS). Results: 64% of subjects were male. Schizophrenia patients reported more depression, poorer social functioning, and worse social cognition. Linear regression analyses revealed significant correlations between self-reported social functioning and BDI scores, which also predicted self-reported social cognition. There was no significant effect of sex on self-reports of social functioning or social cognition. Finally, when BDI and OSCARS were directly compared to diagnosis and sex for prediction of self-reported social functioning, there was no impact of diagnosis or sex. Implications: Self-reported interpersonal functioning is determined by current depression. Both healthy people and people with schizophrenia index their social functioning and their social cognitive by their level of depression.

Original languageEnglish (US)
Article number112681
JournalPsychiatry Research
StatePublished - Feb 2020


  • Depression
  • Schizophrenia
  • Self Assessment
  • Social Cognition
  • Social Functioning

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Biological Psychiatry


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