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- Borroni, Serena, et al.
(författare)
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Psychopathy dimensions, Big Five traits, and dispositional aggression in adolescence : Issues of gender consistency
- 2014
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Ingår i: Personality and Individual Differences. - : Elsevier BV. - 0191-8869 .- 1873-3549. ; 66, s. 199-203
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Tidskriftsartikel (refereegranskat)abstract
- In order to evaluate the nomological network of associations between psychopathy and its sub-dimensions, and Big Five domains and dispositional aggression in adolescence, and its consistency across gender-based sub-groups, 1253 Italian high school students (F = 429, M 824) were administered the Italian translations of the Youth Psychopathic Traits Inventory (YPI), Big Five Inventory (BFI) and the Reactive-Proactive Aggression Questionnaire. Males scored on average significantly higher than females on all measures of psychopathy and aggression, whereas females scored significantly higher than males on the BFI O, C, A and N scales. Bivariate correlations between psychopathy scores, and aggression and BFI domains measures were highly similar in females and males. The majority of regression coefficients based on hierarchical regression models were consistently replicated across gender-based groups; effect size estimates for regression models were large, supporting the hypothesis that psychopathy can be described in terms of general personality traits in adolescence and that the relationships between psychopathy, its sub-dimensions and Big Five personality dimensions, and aggression generally are very similar across gender. (C) 2014 Elsevier Ltd. All rights reserved.
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- Fossati, Andrea, et al.
(författare)
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The Factor Structure and Construct Validity of the Short Version of the Youth Psychopathic Traits Inventory in Two Independent Samples of Nonreferred Adolescents
- 2016
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Ingår i: Assessment (Odessa, Fla.). - Thousand Oaks, USA : Sage Publications. - 1073-1911 .- 1552-3489. ; 23:6, s. 683-697
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Tidskriftsartikel (refereegranskat)abstract
- To assess the internal consistency, factor structure, and construct validity of the Italian translation of the Youth Psychopathic Traits Inventory-Short Version (YPI-S), both the YPI-S and its full version, the YPI, as well as self-reports of delinquency, aggression, and Big Five domains, were administered to two independent samples (N = 868 and N = 881) of Italian community, nonreferred adolescents. The internal consistency of the YPI-S was adequate, and confirmatory factor analyses showed a good fit of the theoretical three-factor model of the YPI-S in both samples. Hierarchical regression models suggested the same pattern of associations with self-report measures of delinquency and aggression for the YPI-S and YPI, although the YPI was a better predictor of Big Five domains than the YPI-S. The findings support the internal consistency, factor validity, and construct validity of the YPI-S.
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- Mantini, Cesare, et al.
(författare)
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Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score
- 2018
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Ingår i: European Journal of Radiology. - : Elsevier BV. - 0720-048X. ; 101, s. 1-7
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To investigate the influence of different CT reconstruction parameters on coronary artery calcium scoring (CACS) values and reclassification of predicted cardiovascular (CV) risk. Methods: CACS was evaluated in 113 patients undergoing ECG-gated 64-slice CT. Reference CACS protocol included standard kernel filter (B35f) with slice thickness/increment of 3/1.5 mm, and field-of-view (FOV) of 150–180 mm. Influence of different image reconstruction algorithms (reconstructed slice thickness/increment 2.0/1.0–1.5/0.8–3.0/2.0–3.0/3.0 mm; slice kernel B30f-B45f; FOV 200–250 mm) on Agatston score was assessed by Bland-Altman plots and concordance correlation coefficient (CCC) analysis. Classification of CV risk was based on the Mayo Clinic classification. Results: Different CACS reconstruction parameters showed overall good accuracy and precision when compared with reference protocol. Protocols with larger FOV, thinner slices and sharper kernels were associated with significant CV risk reclassification. Use of kernel B45f showed a moderate positive correlation with reference CACS protocol (Agatston CCC = 0.67), and yielded significantly higher CACS values (p <.05). Reconstruction parameters using B30f or B45f kernels, 250 mm FOV, or slice thickness/increment of 2.0/1.0 mm or 1.5/0.8 mm, were associated with significant reclassification of CV risk (p <.05). Conclusions: Kernel, FOV, slice thickness and increment are major determinants of accuracy and precision of CACS measurement. Despite high agreement and overall good correlation of different reconstruction protocols, thinner slices thickness and increment, and sharper kernels were associated with significant upward reclassification of CV risk. Larger FOV determined both upward and downward reclassification of CV risk.
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