In this study, we examined the preliminary concurrent validity of a brief version of the Prodromal Questionnaire (PQ-B), a self-report screening measure for psychosis risk syndromes. Adolescents and young adults (N=141) who presented consecutively for clinical assessment to one of two early psychosis research clinics at the University of California, San Francisco and UC Los Angeles completed the PQ-B and the Structured Interview for Prodromal Syndromes (SIPS) at intake. Endorsement of three or more positive symptoms on the PQ-B differentiated between those with prodromal syndrome and psychotic syndrome diagnoses on the SIPS versus those with no SIPS diagnoses with 89% sensitivity, 58% specificity, and a positive Likelihood Ratio of 2.12. A Distress Score measuring the distress or impairment associated with endorsed positive symptoms increased the specificity to 68%, while retaining similar sensitivity of 88%. Agreement was very similar when participants with psychotic syndromes were excluded from the analyses. These results suggest that the PQ-B may be used as an effective, efficient self-report screen for prodromal psychosis syndromes when followed by diagnostic interview, in a two-stage evaluation process in help-seeking populations.
Results suggest that Deprexis can produce symptomatic improvement among depressed adults recruited from the United States. Additional research is needed that examines whether improvements are maintained over time and who is particularly likely to respond to this form of treatment. (PsycINFO Database Record
As a risk factor for psychosis, childhood trauma rates are elevated in the clinical-high-risk (CHR) syndrome compared to the general population. However, it is unknown whether trauma is typically experienced in childhood or adolescence/young adulthood, whether it occurred prior to CHR syndrome onset, and how severe trauma relates to presenting symptoms. In this study, we examined the relationship of trauma history to symptoms and functioning in individuals diagnosed with the CHR syndrome on the Structured Interview for Psychosis-Risk Syndromes (N = 103). Trauma, defined as meeting the DSM-IV A1 criterion of actual or threatened death or injury, was assessed by semi-structured interview. A large proportion of CHR participants (61%) reported trauma exposure, including interpersonal trauma, trauma prior to CHR onset, and childhood trauma prior to age 12. Those with a trauma history (versus those without trauma) were rated as having more severe perceptual disturbances, general/affective symptoms and more impairment on the Global Assessment of Functioning Scale. The number of traumatic events correlated with more severe ratings in those three domains. Additionally, the number of interpersonal traumas was correlated with ratings of suspiciousness. Trauma was unrelated to specific measures of social and role functioning. A small proportion of CHR participants were diagnosed with formal PTSD (14%), which was unrelated to symptom severity or functioning. Thus, we demonstrate that trauma exposure is often early in life (before age 12), occurs prior to the onset of the CHR syndrome, and is related to both positive and affective symptoms.
BackgroundSome Internet interventions are regarded as effective treatments for adult depression, but less is known about who responds to this form of treatment.MethodAn elastic net and random forest were trained to predict depression symptoms and related disability after an 8-week course of an Internet intervention, Deprexis, involving adults (N = 283) from across the USA. Candidate predictors included psychopathology, demographics, treatment expectancies, treatment usage, and environmental context obtained from population databases. Model performance was evaluated using predictive R2 $\lpar R_{{\rm pred}}^2\rpar\comma $ the expected variance explained in a new sample, estimated by 10 repetitions of 10-fold cross-validation.ResultsAn ensemble model was created by averaging the predictions of the elastic net and random forest. Model performance was compared with a benchmark linear autoregressive model that predicted each outcome using only its baseline. The ensemble predicted more variance in post-treatment depression (8.0% gain, 95% CI 0.8–15; total $R_{{\rm pred}}^2 \; $= 0.25), disability (5.0% gain, 95% CI −0.3 to 10; total $R_{{\rm pred}}^2 \; $= 0.25), and well-being (11.6% gain, 95% CI 4.9–19; total $R_{{\rm pred}}^2 \; $= 0.29) than the benchmark model. Important predictors included comorbid psychopathology, particularly total psychopathology and dysthymia, low symptom-related disability, treatment credibility, lower access to therapists, and time spent using certain Deprexis modules.ConclusionA number of variables predict symptom improvement following an Internet intervention, but each of these variables makes relatively small contributions. Machine learning ensembles may be a promising statistical approach for identifying the cumulative contribution of many weak predictors to psychosocial depression treatment response.
Environmental risk and protective factors in schizophrenia play a significant role in the development and course of the disorder. The following article reviews the current state of evidence linking a variety of environmental factors and their impact on the emergence of psychotic disorders. The environmental factors include pre- and perinatal insults, stress and trauma, family environment, and cannabis use. The review of evidence is followed by case examples and clinical applications to facilitate the integration of the evidence into clinical practice.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.