The sensitivity of the ICD-11 trait model to the symptoms of clinical disorders in young adults.

Hierarchical psychopathology contributes to providing a broader picture of the links between emerging personality structures such as the DSM-5/ICD-11 trait models and clinical disorders. The present study aimed to predict the specific and general clinical symptoms by the less studied constructs of the ICD-11 model (negative affectivity, detachment, dissociality, disinhibition, and anankastia). Data from 642 young adults from Iran (63% female, 18-34 years) were collected by three mental symptom scales and the Personality Inventory for DSM-5 (PID-5), which was recently used to harmonize the constructs of the DSM-5 and ICD-11 trait models. Multiple linear regressions showed that the ICD-11 model significantly predicted both the specific clinical symptoms (ranging from R2 = 0.15 to 0.40) and the general factor of clinical symptoms extracted by exploratory factor analysis (R2 = 0.40, all p < 0.001). Negative affectivity was the strongest construct correlated with both the specific symptoms (ranging from ß = 0.36 to 0.69) and the general symptom factor (ß = 0.59, all p < 0.001). Because the ICD-11 trait model is a practical structure related to the clinical psychopathology in young adults, screening for maladaptive traits can help clinicians in case formulation for diagnosis and treatment.

Clinical cut scores for the Persian version of the personality inventory for DSM-5.

BACKGROUND: The cut points of psychological tools to diagnose clinical conditions are not universal and depend on the region and prevalence of the disorder. Thus, we aimed to identify the cutoff points of the Persian original version of the personality inventory for DSM-5 (PID-5; 220 items) that would optimally distinguish nonclinical from clinical groups. METHODS: Both nonclinical (N = 634, 73% female, 34.0 ± 10.8 years) and clinical (N = 454, 29% female, 29.5 ± 7.4 years) samples from the West of Iran participated in the study. Data were analyzed using receiver operating characteristic (ROC) and Youden's index was used to determine the cutoff scores across the PID-5 domains and facets. The means and standard deviations of both the clinical male and female were compared with the nonclinical group using Cohen's d and independent t-tests. RESULTS: All the PID-5 algorithms and facets significantly distinguished clinical from nonclinical samples with some unique findings for male and female samples. The mean score of all the PID-5 algorithms and facets in the clinical male and female samples were respectively 1.0-2.0 SD and 0.5-1.0 SD above the mean for the nonclinical counterparts. A score higher than 1.5 on ranging from 0 to 3 in each domain or facet indicated clinical status. CONCLUSION: Raw cutting scores throughout the PID-5 algorithms can be well used to diagnose any pathology of personality and the severity of the disorder in clinical patients. The cut scores provide a useful tool for the clinical use of the original version of PID-5 in Iran.

The Construct Validity of the ICD-11 Severity of Personality Dysfunction Under Scrutiny of Object-Relations Theory.

The current classification of personality disorder in ICD-11 includes a description of personality functioning, derived from a number of theoretical paradigms, but most notably consistent with the psychodynamic approach. Concurrently, an object-relations model of personality functioning in a dimensional assessment of severity is provided in the Structured Interview of Personality Organization-Revised (STIPO-R). To date, there are no published measures of International Classification of Diseases-11 (ICD-11) personality severity, though the construct is very comparable to the concepts assessed in the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) levels of personality functioning concept, which is measured by the Level of Personality Functioning Scale-Self-Report (LPFS-SR). This study examined the validity of ICD-11 personality functioning, as measured by the LPFS-SR, by evaluating its associations with the STIPO-R in Kurdistan region. The samples included 231 University students and 419 inpatient participants across four hospitals (267 with a diagnosed personality disorder). All the components of LPFS-SR and STIPO-R were positively and significantly intercorrelated. The components of each measure discriminated PD and non-PD patients from a University, non-clinical group adequately. Despite slightly better performance of the STIPO-R in this discrimination, the measures had a high congruence in predicting personality dysfunction. Overall, the findings of the present study support the validity of ICD-11 construct for evaluating personality functioning.

Polyvinyl Alcohol/Calcium Carbonate Nanocomposites as Efficient and Cost-Effective Cationic Dye Adsorbents.

A novel polyvinyl alcohol (PVA)/calcium carbonate-based double-layer cationic dye adsorbent was developed. Polyvinyl alcohol (50 wt %) and calcium carbonate (50 wt %) were used together with borax as a cross-linking agent. The nanocomposite was prepared using only water, without the need for any toxic solvent or hazardous chemical. The final samples were obtained by the solvent casting method. The nanocomposite adsorbent was characterized using a Fourier transform infrared (FTIR) spectroscope and a scanning electron microscope (SEM). The adsorption performance on two cationic dyes, i.e., methylene blue and safranin was studied. Dye adsorption was quantified by measuring the nanocomposite swelling, contact time, and dye concentration. Pseudo first-order and pseudo second-order kinetic models as well as intraparticle diffusion model were used to model the adsorption kinetics. Moreover, the isotherm dye adsorption was investigated by Langmuir and Freundlich models. The results revealed that the developed nanocomposite has relatively high adsorption efficiency and short adsorption time and retains its performance after several successive absorption-desorption processes. The results also showed that the pseudo-second-order model best describes the adsorption kinetics, and the Freundlich isotherm model has a better compatibility with the experimental data. Finally, an adsorption mechanism was proposed for the dye removal process. The developed PVA/CaCO3 nanocomposite can be potentially used for efficient dye removal in wastewater treatments.