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Yumei Sun - One of the best experts on this subject based on the ideXlab platform.
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Psychological Status of Volunteers in a Phase I Clinical Trial Assessed by Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ).
Medical science monitor : international medical journal of experimental and clinical research, 2018Co-Authors: Yudong Wei, Huali Wang, Shuang Zhang, Yumei SunAbstract:BACKGROUND The psychological status of volunteers was investigated to provide a theoretical method for Phase I clinical trial management and result analysis. MATERIAL AND METHODS The Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to assess the psychological status 200 healthy Chinese volunteers. RESULTS SCL-90 results indicate that the average value of positive factors is 10.32±14.26 by self-assessment of healthy volunteers, somatization factor is 1.13±0.13, compulsive Symptom factor is 1.29±0.27, interpersonal sensitivity factor is 1.31±0.21, depression factor is 1.26±0.33, anxiety factor is 1.21±0.21, hostility factor is 1.08±0.26, phobia factor is 1.05±0.18, paranoid factor is 1.12±0.23, and Psychotic Symptom factor is 1.17±0.26. CONCLUSIONS Compared to the norm in China, the score of each factor of healthy volunteers was relatively low, with a statistically significant difference (P
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psychological status of volunteers in a phase i clinical trial assessed by Symptom checklist 90 scl 90 and eysenck personality questionnaire epq
Medical Science Monitor, 2018Co-Authors: Yudong Wei, Huali Wang, Shuang Zhang, Yumei SunAbstract:BACKGROUND The psychological status of volunteers was investigated to provide a theoretical method for Phase I clinical trial management and result analysis. MATERIAL AND METHODS The Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to assess the psychological status 200 healthy Chinese volunteers. RESULTS SCL-90 results indicate that the average value of positive factors is 10.32±14.26 by self-assessment of healthy volunteers, somatization factor is 1.13±0.13, compulsive Symptom factor is 1.29±0.27, interpersonal sensitivity factor is 1.31±0.21, depression factor is 1.26±0.33, anxiety factor is 1.21±0.21, hostility factor is 1.08±0.26, phobia factor is 1.05±0.18, paranoid factor is 1.12±0.23, and Psychotic Symptom factor is 1.17±0.26. CONCLUSIONS Compared to the norm in China, the score of each factor of healthy volunteers was relatively low, with a statistically significant difference (P<0.001). EPQ results show that P score was 4.59±2.33, E score is 13.13±4.32, N score was 6.89±5.26, and L score was 13.21±4.25 for the 200 healthy volunteers. Compared to the norm in China, the P and N scores were lower, and the E and L scores were higher, with a statistically significant difference (P<0.001).
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Study of psychological health of healthy volunteers by Symptom checklist 90 (SCL-90) and eysenck personality questionnaire (EPQ)
Biomedical Research, 2018Co-Authors: Yudong Wei, Huali Wang, Shuang Zhang, Yumei SunAbstract:Psychological health of Chinese healthy volunteers was investigated to provide a theoretical method for phase I clinical trial management and result analysis. Symptom checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to assess 200 healthy volunteers and to analyse the level of psychological health of Chinese healthy volunteers. SCL-90 result indicates that the average value of positive factors is 10.32 ± 14.26 by self-assessment of healthy volunteers, somatization factor is 1.13 ± 0.13, compulsive Symptom factor is 1.29 ± 0.27, interpersonal sensitivity factor is 1.31 ± 0.21, depression factor is 1.26 ± 0.33, anxiety factor is 1.21 ± 0.21, hostility factor is 1.08 ± 0.26, phobia factor is 1.05 ± 0.18, paranoid factor is 1.12 ± 0.23, Psychotic Symptom factor is 1.17 ± 0.26. Comparing the norm in China, the score of each factor of healthy volunteers is relatively low with statistically significant difference (P
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study of psychological health of healthy volunteers by Symptom checklist 90 scl 90 and eysenck personality questionnaire epq
Biomedical Research-tokyo, 2018Co-Authors: Yudong Wei, Huali Wang, Shuang Zhang, Yumei SunAbstract:Psychological health of Chinese healthy volunteers was investigated to provide a theoretical method for phase I clinical trial management and result analysis. Symptom checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to assess 200 healthy volunteers and to analyse the level of psychological health of Chinese healthy volunteers. SCL-90 result indicates that the average value of positive factors is 10.32 ± 14.26 by self-assessment of healthy volunteers, somatization factor is 1.13 ± 0.13, compulsive Symptom factor is 1.29 ± 0.27, interpersonal sensitivity factor is 1.31 ± 0.21, depression factor is 1.26 ± 0.33, anxiety factor is 1.21 ± 0.21, hostility factor is 1.08 ± 0.26, phobia factor is 1.05 ± 0.18, paranoid factor is 1.12 ± 0.23, Psychotic Symptom factor is 1.17 ± 0.26. Comparing the norm in China, the score of each factor of healthy volunteers is relatively low with statistically significant difference (P<0.001). EPQ result shows that P score is 4.59 ± 2.33, E score is 13.13 ± 4.32, N score is 6.89 ± 5.26, and L score is 13.21 ± 4.25 for 200 healthy volunteers. Comparing the norm in China, the P and N scores are lower, and the E and L scores are higher, with statistically significant difference (P<0.001).
Nancy C Andreasen - One of the best experts on this subject based on the ideXlab platform.
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insular cortex abnormalities in schizophrenia a structural magnetic resonance imaging study of first episode patients
Schizophrenia Research, 2000Co-Authors: Benedicto Crespofacorro, Jae Jin Kim, Nancy C Andreasen, Daniel S Oleary, Jeremy H Bockholt, Vincent A MagnottaAbstract:The insular cortex is a limbic integration region that is engaged in emotional and cognitive functions. To investigate possible insular cortex abnormalities in schizophrenia, we measured insular gray matter volume and cortical surface size in drug-naive first-episode patients. Magnetic resonance images were used to explore the morphology of the insular cortex of 25 healthy male volunteers, and 25 male schizophrenic patients. Groups were matched for age, sex, height, and parental socio-economic status. Clinical dimension scores were correlated with insular gray matter volume and cortical surface area. Patients had a significant reduction in cortical surface area [patients=2020 (206); controls=2142 (204); F=5.83, df=1,47; P=0.01] and gray matter volume [patients=8.12 (0.77); controls=8.57 (0.94); F=3.93, df=1,47; P=0.05] in the left insular cortex. Insular gray matter volume and cortical surface size correlated negatively and significantly with the Psychotic Symptom dimension. Schizophrenic patients show morphological abnormalities in the insular cortex at early stages of the illness. These abnormalities are related to the severity of Psychotic Symptoms. Further investigations are needed to evaluate the role of the insula in the pathophysiology of schizophrenia.
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cognitive correlates of the negative disorganized and Psychotic Symptom dimensions of schizophrenia
Journal of Neuropsychiatry and Clinical Neurosciences, 2000Co-Authors: Daniel S Oleary, Michael Flaum, M L Kesler, Laura A Flashman, Stephan Arndt, Nancy C AndreasenAbstract:Knowledge of the relationship between specific cognitive abnormalities and the clinical Symptoms of schizophrenia could give insight into the nature of their underlying pathophysiology. Composite scores were generated for negative, disorganized, and Psychotic Symptom ratings in 134 patients with schizophrenia (DSM-IV criteria). Partial correlations (each composite corrected for the others) were computed with neuropsychological measures. Negative Symptoms were related to poor performance on tests of verbal learning and memory, verbal fluency, visual memory, and visual-motor sequencing. Disorganized Symptoms were correlated with lower verbal IQ and poor concept attainment. Psychotic Symptoms had no significant relationship with cognitive deficit.
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Symptom dimensions and brain morphology in schizophrenia and related Psychotic disorders
Journal of Psychiatric Research, 1995Co-Authors: Michael Flaum, Daniel S Oleary, Stephan Arndt, Victor W Swayze, Del D Miller, Nancy C AndreasenAbstract:The heterogeneity of Symptoms in schizophrenia may reflect heterogeneity of underlying pathophysiological mechanisms. Factor analytic studies have consistently identified three Symptom factors, Psychotic, negative and disorganized, as independent dimensions of schizophrenic psychopathology. This study examined the relationship of these Symptom dimensions with volumes of specific brain regions. One-hundred and sixty-six schizophrenia spectrum patients were clinically evaluated with the Comprehensive Assessment of Symptoms and History (CASH) and scanned with a 1.5 Tesla magnetic resonance imaging scanner. Regions of interest (ROIs) were manually traced on 5 mm and 3 mm coronal slices by a single technician, blind to all aspects of subject identity. Correlations between ROI volumes and indices of Symptom severity were determined. Analyses of covariance were then used to test for specific relationships between each of the three Symptom dimensions and ROI volumes. Tests were made of each dimension, controlling for all others. Overall Symptom severity was significantly correlated with larger ventricle volumes (lateral, third and temporal horns) and smaller temporal lobe, hippocampal and superior temporal gyral volumes. Both Psychotic and negative Symptom severity predicted increased third ventricular volume. Psychotic Symptom severity uniquely predicted decreased superior temporal gyral volume as well as increased temporal horn volume. Within the Psychotic Symptom dimension, hallucinations alone predicted left superior temporal gyral volume. No significant associations between disorganized Symptoms and any ROIs were demonstrated. These results provide clues to the localization of specific brain regions underlying Symptom clusters in schizophrenia, and provide further validating evidence for the construct of independent dimensions of psychopathology within schizophrenia and related Psychotic disorders.
Gillian Haddock - One of the best experts on this subject based on the ideXlab platform.
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validation of the portuguese version of the Psychotic Symptom rating scales psyrats
Actas Espanolas De Psiquiatria, 2017Co-Authors: Diogo Tellescorreia, Nuno Barbosarocha, Joao Gamamarques, Ana Lucia R Moreira, Catia Alvesmoreira, Sergio Saraiva, Filipa Antunes, Carolina Almeida, Sergio Machado, Gillian HaddockAbstract:The Psychotic Symptom Rating Scales (PSYRATS) is a clinical assessment tool that focuses on the detailed measurement of delusions and hallucinations in patients with psychosis. The goal of this study was to examine the psychometric properties of the Portuguese version of the PSYRATS. A sample of 92 outpatients suffering from schizophrenia or schizoaffective disorders and presenting persistent Psychotic Symptoms was assessed using the PSYRATS and the Positive and Negative Syndrome Scale (PANSS). Good inter-rater reliability, test-retest reliability, concurrent validity and internal consistency were found. Factor analysis of the auditory hallucinations scale items disclosed a four-factor solution: emotion characteristics and disruption factor (factor 1), a physical characteristics factor (factor 2), a control characteristics factor (factor 3) and a cognitive attribution factor (factor 4). Regarding the delusions scale items, a two-factor solution was found: cognitive interpretation and disruption factor (factor 1) and an emotional characteristics (factor 2). The Portuguese version of the PSYRATS partially replicates previously published results in other countries.
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the Psychotic Symptom rating scales psyrats their usefulness and properties in first episode psychosis
Schizophrenia Research, 2007Co-Authors: Richard Drake, Gillian Haddock, Nicholas Tarrier, Richard P Bentall, Shon LewisAbstract:The aim of this study was to investigate the reliability, validity and structure of the Psychotic Symptom Rating Scales (PSYRATS) in 257 subjects presenting with acute first episodes of schizophrenia or related disorders. The PSYRATS have been shown to assess dimensions of hallucination and delusions reliably and validly in chronically Psychotic patients but not in first episode patients. Item reliability was investigated and subscale performance compared to the PANSS. The PSYRATS had good inter-rater and retest reliability. Validity was good, as assessed by internal consistency, sensitivity to change, and in relation to the PANSS. There was evidence of two delusion factors and three for hallucinations. The scales are useful complements to existing measures of Symptom severity.
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scales to measure dimensions of hallucinations and delusions the Psychotic Symptom rating scales psyrats
Psychological Medicine, 1999Co-Authors: Gillian Haddock, J Mccarron, Nicholas Tarrier, E B FaragherAbstract:BACKGROUND: Scales to measure the severity of different dimensions of auditory hallucinations and delusions are few. Biochemical and psychological treatments target dimensions of Symptoms and valid and reliable measures are necessary to measure these. METHOD: The inter-rater reliability and validity of the Psychotic Symptom Rating Scales (PSYRATS: auditory hallucination subscale and delusions subscale), which measure several dimensions of auditory hallucinations and delusions were examined in this study. RESULTS: The two scales were found to have excellent inter-rater reliability. Their validity as compared with the KGV scale (Krawiecka et al. 1977) was explored. CONCLUSIONS: It is concluded that the PSYRATS are useful assessment instruments and can complement existing measures.
Yudong Wei - One of the best experts on this subject based on the ideXlab platform.
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Psychological Status of Volunteers in a Phase I Clinical Trial Assessed by Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ).
Medical science monitor : international medical journal of experimental and clinical research, 2018Co-Authors: Yudong Wei, Huali Wang, Shuang Zhang, Yumei SunAbstract:BACKGROUND The psychological status of volunteers was investigated to provide a theoretical method for Phase I clinical trial management and result analysis. MATERIAL AND METHODS The Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to assess the psychological status 200 healthy Chinese volunteers. RESULTS SCL-90 results indicate that the average value of positive factors is 10.32±14.26 by self-assessment of healthy volunteers, somatization factor is 1.13±0.13, compulsive Symptom factor is 1.29±0.27, interpersonal sensitivity factor is 1.31±0.21, depression factor is 1.26±0.33, anxiety factor is 1.21±0.21, hostility factor is 1.08±0.26, phobia factor is 1.05±0.18, paranoid factor is 1.12±0.23, and Psychotic Symptom factor is 1.17±0.26. CONCLUSIONS Compared to the norm in China, the score of each factor of healthy volunteers was relatively low, with a statistically significant difference (P
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psychological status of volunteers in a phase i clinical trial assessed by Symptom checklist 90 scl 90 and eysenck personality questionnaire epq
Medical Science Monitor, 2018Co-Authors: Yudong Wei, Huali Wang, Shuang Zhang, Yumei SunAbstract:BACKGROUND The psychological status of volunteers was investigated to provide a theoretical method for Phase I clinical trial management and result analysis. MATERIAL AND METHODS The Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to assess the psychological status 200 healthy Chinese volunteers. RESULTS SCL-90 results indicate that the average value of positive factors is 10.32±14.26 by self-assessment of healthy volunteers, somatization factor is 1.13±0.13, compulsive Symptom factor is 1.29±0.27, interpersonal sensitivity factor is 1.31±0.21, depression factor is 1.26±0.33, anxiety factor is 1.21±0.21, hostility factor is 1.08±0.26, phobia factor is 1.05±0.18, paranoid factor is 1.12±0.23, and Psychotic Symptom factor is 1.17±0.26. CONCLUSIONS Compared to the norm in China, the score of each factor of healthy volunteers was relatively low, with a statistically significant difference (P<0.001). EPQ results show that P score was 4.59±2.33, E score is 13.13±4.32, N score was 6.89±5.26, and L score was 13.21±4.25 for the 200 healthy volunteers. Compared to the norm in China, the P and N scores were lower, and the E and L scores were higher, with a statistically significant difference (P<0.001).
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Study of psychological health of healthy volunteers by Symptom checklist 90 (SCL-90) and eysenck personality questionnaire (EPQ)
Biomedical Research, 2018Co-Authors: Yudong Wei, Huali Wang, Shuang Zhang, Yumei SunAbstract:Psychological health of Chinese healthy volunteers was investigated to provide a theoretical method for phase I clinical trial management and result analysis. Symptom checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to assess 200 healthy volunteers and to analyse the level of psychological health of Chinese healthy volunteers. SCL-90 result indicates that the average value of positive factors is 10.32 ± 14.26 by self-assessment of healthy volunteers, somatization factor is 1.13 ± 0.13, compulsive Symptom factor is 1.29 ± 0.27, interpersonal sensitivity factor is 1.31 ± 0.21, depression factor is 1.26 ± 0.33, anxiety factor is 1.21 ± 0.21, hostility factor is 1.08 ± 0.26, phobia factor is 1.05 ± 0.18, paranoid factor is 1.12 ± 0.23, Psychotic Symptom factor is 1.17 ± 0.26. Comparing the norm in China, the score of each factor of healthy volunteers is relatively low with statistically significant difference (P
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study of psychological health of healthy volunteers by Symptom checklist 90 scl 90 and eysenck personality questionnaire epq
Biomedical Research-tokyo, 2018Co-Authors: Yudong Wei, Huali Wang, Shuang Zhang, Yumei SunAbstract:Psychological health of Chinese healthy volunteers was investigated to provide a theoretical method for phase I clinical trial management and result analysis. Symptom checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to assess 200 healthy volunteers and to analyse the level of psychological health of Chinese healthy volunteers. SCL-90 result indicates that the average value of positive factors is 10.32 ± 14.26 by self-assessment of healthy volunteers, somatization factor is 1.13 ± 0.13, compulsive Symptom factor is 1.29 ± 0.27, interpersonal sensitivity factor is 1.31 ± 0.21, depression factor is 1.26 ± 0.33, anxiety factor is 1.21 ± 0.21, hostility factor is 1.08 ± 0.26, phobia factor is 1.05 ± 0.18, paranoid factor is 1.12 ± 0.23, Psychotic Symptom factor is 1.17 ± 0.26. Comparing the norm in China, the score of each factor of healthy volunteers is relatively low with statistically significant difference (P<0.001). EPQ result shows that P score is 4.59 ± 2.33, E score is 13.13 ± 4.32, N score is 6.89 ± 5.26, and L score is 13.21 ± 4.25 for 200 healthy volunteers. Comparing the norm in China, the P and N scores are lower, and the E and L scores are higher, with statistically significant difference (P<0.001).
Mary Cannon - One of the best experts on this subject based on the ideXlab platform.
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prevalence of Psychotic Symptoms in childhood and adolescence a systematic review and meta analysis of population based studies
Psychological Medicine, 2012Co-Authors: Ian Kelleher, Dearbhla Connor, Mary Clarke, Nina Devlin, Michelle Harley, Mary CannonAbstract:Background Psychotic Symptoms occur more frequently in the general population than Psychotic disorder and index risk for psychopathology. Multiple studies have reported on the prevalence of these Symptoms using self-report questionnaires or clinical interviews but there is a lack of consensus about the prevalence of Psychotic Symptoms among children and adolescents. Method We conducted a systematic review of all published literature on Psychotic Symptom prevalence in two age groups, children aged 9–12 years and adolescents aged 13–18 years, searching through electronic databases PubMed, Ovid Medline, PsycINFO and EMBASE up to June 2011, and extracted prevalence rates. Results We identified 19 population studies that reported on Psychotic Symptom prevalence among children and adolescents. The median prevalence of Psychotic Symptoms was 17% among children aged 9–12 years and 7.5% among adolescents aged 13–18 years. Conclusions Psychotic Symptoms are relatively common in young people, especially in childhood. Prevalence is higher in younger (9–12 years) compared to older (13–18 years) children.
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identification and characterization of prodromal risk syndromes in young adolescents in the community a population based clinical interview study
Schizophrenia Bulletin, 2012Co-Authors: Ian Kelleher, Mary Clarke, Michelle Harley, Mary Cannon, Aileen Murtagh, Charlene Molloy, Sarah RoddyAbstract:While a great deal of research has been conducted on prodromal risk syndromes in relation to help-seeking individuals who present to the clinic, there is a lack of research on prodromal risk syndromes in the general population. The current study aimed first to establish whether prodromal risk syndromes could be detected in non-help-seeking community-based adolescents and secondly to characterize this group in terms of Axis-1 psychopathology and general functioning. We conducted in-depth clinical interviews with a population sample of 212 school-going adolescents in order to assess for prodromal risk syndromes, Axis-1 psychopathology, and global (social/occupational) functioning. Between 0.9% and 8% of the community sample met criteria for a risk syndrome, depending on varying disability criteria. The risk syndrome group had a higher prevalence of co-occurring nonPsychotic Axis-1 psychiatric disorders (OR = 4.77, 95% CI = 1.81–12.52; P < .01) and poorer global functioning (F = 24.5, df = 1, P < .0001) compared with controls. Individuals in the community who fulfill criteria for prodromal risk syndromes demonstrate strong similarities with clinically presenting risk syndrome patients not just in terms of Psychotic Symptom criteria but also in terms of co-occurring psychopathology and global functioning.
