Frontiers in Psychology (Oct 2016)

“Everyone Needs a Friend Sometimes” – Social Predictors of Long-term Remission In first Episode psychosis

  • Jone Bjornestad,
  • Inge Joa,
  • Inge Joa,
  • Tor Kjetil Larsen,
  • Johannes Langeveld,
  • Larry Davidson,
  • Wenche ten Velden Hegelstad,
  • Liss Goril Anda,
  • Marius Veseth,
  • Ingrid Melle,
  • Jan olav johannessen,
  • Jan olav johannessen,
  • Kolbjørn Brønnick,
  • Kolbjørn Brønnick

DOI
https://doi.org/10.3389/fpsyg.2016.01491
Journal volume & issue
Vol. 7

Abstract

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BackgroundPredictors of long-term symptomatic remission are crucial to the successful tailoring of treatment in first episode psychosis. There is lack of studies distinguishing the predictive effects of different social factors. This prevents a valid evaluating of their independent effects.ObjectivesTo test specific social baseline predictors of long-term remission. We hypothesized that first, satisfaction with social relations predicts remission; second, that frequency of social interaction predicts remission; and third, that the effect of friend relationship satisfaction and frequency will be greater than that of family relations satisfaction and frequency.Material and MethodsA sample of first episode psychosis (n=186) completed baseline measures of social functioning, as well as clinical assessments. We compared groups of remitted and non-remitted individuals using generalized estimating equations analyses.ResultsFrequency of social interaction with friends was a significant positive predictor of remission over a two-year period. Neither global perceived social satisfaction nor frequency of family interaction showed significant effects. ConclusionsThe study findings are of particular clinical importance since frequency of friendship interaction is a possibly malleable factor. Frequency of interaction could be affected through behavioral modification and therapy already from an early stage in the course, and thus increase remission rates.KeywordsFirst-Episode Psychosis, Schizophrenia, Social factors, Baseline predictors, Long-term remission.

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