Internal Consistency of the Serbian Translation of the Stanford Social Dimensions Scale and Association to Strengths and Difficulties Questionnaire Scores in Male and Female Individuals on the Autism Spectrum and Non-autistic Individuals.

We aimed to evaluate the internal consistency of Stanford Social Dimensions Scale (SSDS) translated to Serbian and to test it against the Strengths and Difficulties Questionnaire (SDQ). The sample consisted of 200 patients (32% ASD) of the Institute of Mental Health in Belgrade, Serbia (68 females, 132 males, Mage=9.61, SDage=4.06). Internal consistency coefficients were within good/acceptable range for Social Motivation, Affiliation, Recognition and Unusual Approach subscales and below acceptable for Expressive Social Communication subscale. The non-autistic group scored higher on all subscales compared to the ASD group. All SSDS subscales positively correlated with SDQ Prosocial Behaviors scale. The SSDS is a valuable instrument for accessing sociobehavioral phenotype in both individuals on the autism spectrum and non-autistic individuals.

Analysis of the Relationship between Higher-Order Factor Structure of Personality Disorders and the Five-Factor Model of Personality.

The growing body of evidence on the dimensional classification of personality disorders (PD) has resulted in its acceptance in the ICD-11 classification, which abolished categories and retains only a general description of PD. Specifying the type of PD is optional, and the suggested domains represent maladaptive variants of the five-factor model of personality (FFM). The aim of our study was to explore the existence of a joint structure between maladaptive and normal personality traits, and to investigate how these structures are integrated. The study included 223 patients who had been diagnosed with PD and completed the Structured Clinical Interview for DSM-5 Personality Disorders and the NEO Personality Inventory-Revised (NEO-PI-R). To determine the degree of overlap between PD domains and NEO PI-R scales, a canonical analysis of covariance was conducted. Our findings showed a relationship between the internalizing PD spectrum (consisting of avoidant, dependent, and borderline traits with detached and anankastic traits) and high neuroticism, low conscientiousness, and moderately low agreeableness and extroversion, suggesting the existence of a broad personality disorder factor. However, the internalizing dimensions exhibited a more pronounced effect within this construct. Furthermore, we identified a second function that demonstrated a link between the externalizing PD spectrum (including narcissistic, histrionic, and antisocial traits) and high extraversion, high openness, and low agreeableness, suggesting the existence of an externalizing factor. Overall, our findings provide evidence for a joint structure of maladaptive and normal personality traits in a sample of personality disorders and emphasize the importance of integrating the FFM model in PD evaluation in clinical practice, suggesting that differentiating between major subgroups could assist in adjusting therapeutic approaches.

Multiple Faces of Personality Domains: Revalidating the Proposed Domains.

BACKGROUND: Despite relatively consistent findings regarding the number of personality pathology domains, differences in domain structure remain. Recently the proposed ICD-11 domains were partially validated in a sample of patients with major depression producing five domains: Detached, Anankastic, Negative Emotional, Antisocial and Borderline. The aim of our study was to attempt to cross-validate these findings in a sample of patients primarily diagnosed with personality disorder (PD). SUBJECTS AND METHODS: All subjects were assessed by Structured Clinical Interview for the DSM-IV Axis II PD. Exploratory factor analysis (EFA) was applied on fifty seven DSM PD symptoms selected to represent the five proposed domains. RESULTS: SCID II data were collected from a total of 223 subjects. The EFA extracted five factors. The first factor labeled as borderline-internalizing constituted of borderline together with avoidant and dependent items, the second, labeled as disinhibited/ borderline externalizing, incorporated narcissistic and histrionic items. The other three separate factors in our study labeled as antisocial, anankastic and detached, were less robust. CONCLUSIONS: In our study five personality pathology domains were partly replicated. The most robust findings support the existence of the two factors, borderline-internalizing and disinhibited/borderline externalizing. However, the EFA was performed on a relatively low prevalence symptoms distribution, particularly for antisocial and schizoid factors.

Serbian Language version of the Modified Checklist for Autism in Toddlers, Revised, with Follow-Up: Cross-Cultural Adaptation and Assessment of Reliability.

Early detection of Autism Spectrum Disorder (ASD) has proven to be of high significance, however there is a limited availability of ASD screening tools in Serbian language. In this study we aim to translate, assess reliability and, in part, test the applicability of Modified Checklist for Autism in Toddlers, Revised, with Follow-Up (M-CHAT R/F) in Serbian Healthcare environment. We screened 128 children in three primary healthcare centres and 20 children in a tertiary psychiatric center, using M-CHAT R/F translated into Serbian language, between December 2014 and October 2015. At the end of the screening process 80% of participants in the risk group screened positive for ASD, while in the control group 4 (3.1%) participants screened positive, with a mean total scores of 8.25 and 0.66 respectively. The Cronbach's α coefficient was 0.91 and Guttman's λ6 was 0.93. Test - retest reliability was deemed as acceptable, and no significant correlation was found between M-CHAT-R/F scores and Epworth Sleepiness Scale for children scores. The Serbian version of the M-CHAT-R/F has shown satisfactory reliability. We can therefore assert that it is a reliable tool for identifying ASD and it can be used in clinical practice to improve early detection, assessment and treatment.