Aim: To investigate pre-morbid, socio-demographic, clinical and cognitive variables as predictors of insight in a large and representative sample of first-episode psychosis patients.
Methods: The abbreviated Scale to Assess Unawareness of Mental Disorder was used to assess insight dimensions. Patients with good and poor insight were independently compared on insight dimensions and logistic regression analyses were conducted to identify explanatory variables associated with each insight dimension.
Results: The patients with good and poor insight of having a mental disorder differed in duration of untreated psychosis, diagnosis and attention, but only attention appeared as a predictor. The insight of the need for medication groups showed differences in age of onset, depression, severity of disorganized symptoms and hospitalization rate.Nevertheless, age of onset and disorganized symptoms seem to be the predictors. Groups of insight of the social consequences differed in duration of untreated psychosis, the negative and disorganized symptoms severity, disability, education, diagnosis and hospitalization rate.However, exclusively, the severity of disorganized symptoms seems to predict insight of social consequences.
Conclusion: When independently analysed, the three insight dimensions showed different rates of affectation and different predictors. These results suggest that there must be different mechanisms underlying the lack of insight. First-episode psychosis is a crucial period for treatment adherence formation, an issue strongly associated with good insight. Thus, a more accurate evaluation of the predictors of lack of insight into each dimension is warranted to achieve a better comprehension of the lack of insight in schizophrenia and in turn, to implement treatment programmes seeking to improve it.