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The AdAS Spectrum showed excellent internal consistency and test-retest reliability and strong convergent validity with alternative dimensional measures of ASD. The questionnaire performed differently among the three diagnostic groups and enlightened some significant effects of gender in the expression of autistic traits.

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BackgroundEmergency services personnel face frequent exposure to potentially traumatic events, with the potential for chronic symptomatic distress. The DSM-5 recently recognized a particular risk for post-traumatic stress disorder (PTSD) among first responders (criterion A4) but data are still scarce on prevalence rates and correlates.ObjectiveThe aim of the present study was to explore the possible role of age, gender, and education training in a sample of emergency personnel diagnosed with DSM-5 PTSD.MethodsThe Trauma and Loss Spectrum-Self-Report (TALS-SR) and the Work and Social Adjustment Scale (WSAS) were administered to 42 between nurses and health care assistants, employed at the emergency room of a major University Hospital (Pisa) in Italy.Results21.4% of the sample reported DSM-5 PTSD with significantly higher scores in the TALS-SR domain exploring the acute reaction to trauma and losses among health care assistants, older, and non-graduated subjects. A significant correlation between the number of the TALS-SR symptoms endorsed, corresponding to DSM-5 PTSD diagnostic criteria emerged in health care assistants.ConclusionsDespite further studies are needed in larger samples, our data suggest a high risk for PTSD and post-traumatic stress spectrum symptoms in nurses and health care workers operating in an emergency department, particularly among health care assistants, women, older, and non-graduated operators.

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Introduction: Despite the general agreement that normal jealousy is heterogenous, little is known about this specific topic.Methods: In the present study, we explored the possibility of distinguishing between four subtypes of “normal” jealousy (depressive, anxious, obsessive, and paranoid) amongst a cohort of 500 healthy university students by means of a specifically designed questionnaire, “Questionario della gelosia” (QUEGE). QUEGE is a self-report instrument of 30 items which explores the presence, frequency, and duration of feelings and behaviors related to jealousy. It was devised to investigate four hypothetical psychopathological profiles: depressive, paranoid, obsessive, and anxious.Results: The factor analysis identified five rather than four clear-cut factors: self-esteem, paranoia, interpersonal sensitivity, fear of being abandoned, and obsessionality. Women showed statistically significant lower levels of self-esteem and higher levels of obsessionality than men. Younger age (<25 years) was associated with lower self-esteem and higher levels of paranoia and obsessionality, while being single was associated with lower self-esteem and higher levels of obsessionality.Conclusion: The present study provides evidence of the reliability and validity of the QUEGE instrument, which seems to identify the presence of five psychopathological dimensions within the jealousy phenomenon in the general population.

Background: The Adult Autism Subthreshold Spectrum (AdAS Spectrum) is a recently developed instrument tailored to assess the broad range of full-threshold as well as sub-threshold manifestations related to the autism spectrum. Although it has proved to be a valuable instrument for quantitative assessment of autistic symptoms, the AdAS Spectrum still lacks validated diagnostic thresholds. Objective: The aim of this study was to define the best cut-off scores of the AdAS Spectrum for determining the presence of subthreshold autistic traits as well as a clinically significant autism spectrum disorder (ASD). Methods: Our sample was composed of 39 patients with full-blown ASD, 73 subjects with autistic traits, and 150 healthy controls. Subjects were evaluated by trained psychiatrists, who performed a clinical diagnosis according to DSM-5 and then assessed with the AdAS Spectrum and the Autism Spectrum Quotient. Results: Our results showed that the most discriminant cut-off scores were 70 for identifying subjects with full-blown ASD, and 43 for determining the presence of significant autistic traits. Conclusion: The threshold values proposed here showed satisfying levels of specificity and sensibility, as well as a good agreement with the diagnosis according to DSM-5 criteria, confirming the validity of the AdAS Spectrum as a psychometric tool for measuring ASD-related conditions in the clinical and general population.