Diane Dvorsky

Stigma as a stressor and transition to schizophrenia after one year among young people at risk of psychosis

According to stress-vulnerability models, social stressors contribute to the onset of schizophrenia. Stigma and discrimination associated with mental illness may be a stressor for young people at risk of psychosis even prior to illness onset, but quantitative longitudinal data on this issue are lacking. We examined the cognitive appraisal of stigma-related stress as predictor of transition to schizophrenia among young people at risk of psychosis. In Zürich, Switzerland, 172 participants between 13 and 35years old and with either high or ultra-high risk of psychosis or risk of bipolar disorder were included. With 71 dropouts, transition was assessed during 12months among 101 participants of whom 13 converted to schizophrenia. At baseline, the cognitive appraisal of stigma as a stressor was measured by self-report, based on the primary appraisal of stigma as harmful and the secondary appraisal of resources to cope with stigma. Positive and negative symptoms were examined using the Positive and Negative Syndrome Scale. Compared with participants who did not convert to schizophrenia, converters had significantly more positive (p<.001) and negative (p<.001) symptoms and reported higher levels of stigma-related harm (p=.003) and stress (p=.009) at baseline. More perceived harm due to stigma at baseline predicted transition to schizophrenia (odds ratio 2.34, 95%-CI 1.19-4.60) after adjusting for age, gender, symptoms and functioning. Stigma stress may increase the risk of transition to schizophrenia. Research is needed on interventions that reduce public negative attitudes towards young people at risk and that support individuals at risk to cope with stigma-related stress.

Longitudinal course of self-labeling, stigma stress and well-being among young people at risk of psychosis.

Stigma may undermine the well-being of young people at risk of psychosis. We therefore measured self-labeling, stigma variables and well-being at baseline and again one year later among 77 at-risk participants. An increase in self-labeling during this period predicted heightened stigma stress after one year and a decrease in stigma stress predicted better well-being at follow-up, controlling for symptoms, psychiatric comorbidity and sociodemographic variables. Besides early intervention programmes, strategies are needed to reduce the public stigma associated with at-risk status and to support young people at risk to better cope with self-labeling and stigma stress.

Stigma and suicidal ideation among young people at risk of psychosis after one year

Suicidality is common among individuals at risk of psychosis. Emerging findings suggest that mental illness stigma contributes to suicidality. However, it is unclear whether stigma variables are associated with suicidality among young people at risk of psychosis. This longitudinal study assessed perceived public stigma and the cognitive appraisal of stigma as a stressor (stigma stress) as predictors of suicidal ideation among individuals at risk of psychosis over the period of one year. One hundred and seventy-two participants between 13 and 35 years of age were included who were at high or ultra-high risk of psychosis or at risk of bipolar disorder. At one-year follow-up, data were available from 73 completers. In multiple logistic regressions an increase of stigma stress (but not of perceived stigma) over one year was significantly associated with suicidal ideation at one-year follow-up, controlling for age, gender, symptoms, comorbid depression and suicidal ideation at baseline. Interventions to reduce public stigma and stigma stress could therefore improve suicide prevention among young people at risk of psychosis.

Course of psychotic symptoms, depression and global functioning in persons at clinical high risk of psychosis : results of a longitudinal observation study over three years focusing on both converters and non-converters

The aim of this study was to test the validity of the CHR state by focusing on the course of psychosis spectrum symptoms, depression and global functioning in converters and non-converters. A total of 188 CHR-positive subjects (60.2% men) aged between 13 and 35years (mean=20.5) at study outset were assessed five times (t0-t4) over a total observation period of 36months. Conversion to manifest psychosis was defined according to ICD-10 criteria for schizophrenia (F20) or brief psychotic disorder (F23). Measures of positive and negative symptoms were assessed with the Structured Interview for Prodromal Syndromes (SIPS), depression with the Calgary Depression Scale (CDS), and global functioning with the Global Assessment of Functioning Scale (GAF). Converters scored higher over time on all SIPS scales apart from grandiosity (Cohens d: 0.5-0.7; all p<0.001), higher on the CDS (d=0.43, p=0.001) and lower on the GAF (d=0.69, p<0.001) than did non-converters. Positive and negative symptoms as well as depression were most severe at study outset (t0) and then declined sharply following a linear function over the three-year observation period (t1-t4) across groups (all linear contrasts p<0.001). In conclusion, converters showed significantly more psychopathological symptoms and poorer functioning before crossing the diagnostic threshold for manifest psychosis. CHR-subjects who convert to manifest psychosis during follow-up appear to be recovering from illness rather than becoming ill. Major issues involve the poor discrimination of CHR state and psychosis as well as the dichotomous definition of both at-risk and disease states. Further examination in other CHR-samples is warranted.

Checking the predictive accuracy of basic symptoms against ultra high-risk criteria and testing of a multivariable prediction model: Evidence from a prospective three-year observational study of persons at clinical high-risk for psychosis

BACKGROUND The aim of this study was to critically examine the prognostic validity of various clinical high-risk (CHR) criteria alone and in combination with additional clinical characteristics. METHODS A total of 188 CHR positive persons from the region of Zurich, Switzerland (mean age 20.5 years; 60.2% male), meeting ultra high-risk (UHR) and/or basic symptoms (BS) criteria, were followed over three years. The test battery included the Structured Interview for Prodromal Syndromes (SIPS), verbal IQ and many other screening tools. Conversion to psychosis was defined according to ICD-10 criteria for schizophrenia (F20) or brief psychotic disorder (F23). RESULTS Altogether n=24 persons developed manifest psychosis within three years and according to Kaplan-Meier survival analysis, the projected conversion rate was 17.5%. The predictive accuracy of UHR was statistically significant but poor (area under the curve [AUC]=0.65, P<.05), whereas BS did not predict psychosis beyond mere chance (AUC=0.52, P=.730). Sensitivity and specificity were 0.83 and 0.47 for UHR, and 0.96 and 0.09 for BS. UHR plus BS achieved an AUC=0.66, with sensitivity and specificity of 0.75 and 0.56. In comparison, baseline antipsychotic medication yielded a predictive accuracy of AUC=0.62 (sensitivity=0.42; specificity=0.82). A multivariable prediction model comprising continuous measures of positive symptoms and verbal IQ achieved a substantially improved prognostic accuracy (AUC=0.85; sensitivity=0.86; specificity=0.85; positive predictive value=0.54; negative predictive value=0.97). CONCLUSIONS We showed that BS have no predictive accuracy beyond chance, while UHR criteria poorly predict conversion to psychosis. Combining BS with UHR criteria did not improve the predictive accuracy of UHR alone. In contrast, dimensional measures of both positive symptoms and verbal IQ showed excellent prognostic validity. A critical re-thinking of binary at-risk criteria is necessary in order to improve the prognosis of psychotic disorders.

Neurocognition in help-seeking individuals at risk for psychosis: Prediction of outcome after 24 months

An important aim in schizophrenia research is to optimize the prediction of psychosis and to improve strategies for early intervention. The objectives of this study were to explore neurocognitive performance in individuals at risk for psychosis and to optimize predictions through a combination of neurocognitive and psychopathological variables. Information on clinical outcomes after 24 months was available from 118 subjects who had completed an extensive assessment at baseline. Subjects who had converted to psychosis were compared with subjects who had not. Multivariate Cox regression analyses were used to determine which baseline measure best predicted a conversion to psychosis. The premorbid IQ and the neurocognitive domains of processing speed, learning/memory, working memory and verbal fluency significantly discriminated between converters and non-converters. When entered into multivariate regression analyses, the combination of PANSS positive/negative symptom severity and IQ best predicted the clinical outcomes. Our results confirm previous evidence suggesting moderate premorbid cognitive deficits in individuals developing full-blown psychosis. Overall, clinical symptoms appeared to be a more sensitive predictor than cognitive performance. Nevertheless, the two might serve as complementary predictors when assessing the risk for psychosis.

Influence of demographic characteristics on attenuated positive psychotic symptoms in a young, help-seeking, at-risk population

Presentation of attenuated positive psychotic symptoms (APS) was reported to be modestly influenced by age, sex and education in a psychosis‐risk sample. We re‐examined the influence of demographic variables on APS in an independent psychosis‐risk sample.