Browsing by Author "Knezevic, Goran (57201607844)"

AbstractPrompted by the need to measure the impact of the coronavirus disease 2019 on main areas of quality of life related to mental health (MH), the COV-19 - impact on quality of life (COV19-QoL) scale has been developed recently. We measured how patients seeking face-to-face MH care perceived the coronavirus disease 2019 impact on QoL and how socio-demographic factors, stress, and personality contributed to QoL in this diagnostically diverse population.Patients aged 18 to 65years (n=251) who came for the first time to the outpatient units during the 6-week index-period (May 21-July 1, 2020) were included. The cross-sectional assessment involved sociodemographic variables, working diagnosis, personality traits (7-dimension model, including HEXACO and DELTA), stress (list of threatening experiences and proximity to virus), and COV19-QoL.The perceived impact of the pandemic on QoL was above the theoretical mean of a 5-point scale (COV19-Qol=3.1±1.2). No association between total COV19-QoL score, sociodemographic parameters, and working diagnoses was found in the present sample. After testing whether positional (threatening experiences), or dispositional (personality) factors were predominant in the perceived impact of COV-19 on QoL, significant predictors of the outcome were personality traits Disintegration (B=0.52; P<.01) and Emotionality (B=0.18; P<.05).It seems that pervasiveness and uncertainty of the pandemic threat triggers - especially in those high on Disintegration trait - a chain of mental events with the decrease of QoL as a final result. Present findings could be used to establish a profile of MH help seeking population in relation to this biological disaster, and to further explore QoL and personality in different contexts. © 2021 Lippincott Williams and Wilkins. All rights reserved.

Introduction The COVID-19 pandemic is likely to have a prolonged impact on mental health (MH); however, the long-term MH effects of the COVID-19 pandemic remain unknown. The Serbian national survey-CoV2Soul.RS-was launched to document the MH status of the Serbian population following the COVID-19 pandemic and to contribute to an international evidence base about MH prevalence rates during different phases of the pandemic. Methods and analysis This cross-sectional study was designed to collect a nationally representative sample (N=1200; age 18-65 years; estimated start/end-June/November 2021) using multistage probabilistic household sampling. Trained staff will conduct in-person diagnostic interviews. A battery of self-report instruments will be administered to assess the quality of life (QoL), general distress and associated protective and harmful psychological and societal factors. Analyses will be conducted to delineate the prevalence rates of MH disorders, how MH conditions and QoL vary with respect to sociodemographic variables, personality, health status and traumatic events during the COVID-19 pandemic, and to test how these relations depend on geographical region. Moreover, this study was designed to explore mechanisms linking personality and the perception of pandemic consequences and associated distress. Prevalence rates of MH disorders will be calculated using descriptive statistics. For additional analyses, we will use correlations, analysis of variance and regression analyses. The hierarchical structure of the data will be explored using multilevel random coefficient modelling. Structural equation modelling will be used to investigate the indirect effects of personality on distress through relevant variables. Ethics and dissemination Ethical Committees of the Faculty of Medicine (1322-VII/31) and Faculty of Philosophy in Belgrade (02-33/273) and Faculty of Philosophy in Novi Sad (05-27, br.893/1) approved the protocol. Only respondents able to provide informed consent will participate in the study. Research reports will be submitted to peer-reviewed journals and the results will be placed on the website www.cov2soul.rs to be available to funders, researchers, policy-makers and interested laypeople, and will be advertised through social media. Trial registration number NCT04896983. ©

Aim: The aim of the present study was to examine whether healthy individuals with higher levels of neuroticism, a robust independent predictor of psychopathology, exhibit altered facial emotion recognition performance. Methods: Facial emotion recognition accuracy was investigated in 104 healthy adults using the Degraded Facial Affect Recognition Task (DFAR). Participants' degree of neuroticism was estimated using neuroticism scales extracted from the Eysenck Personality Questionnaire and the Revised NEO Personality Inventory. Results: A significant negative correlation between the degree of neuroticism and the percentage of correct answers on DFAR was found only for happy facial expression (significant after applying Bonferroni correction). Conclusions: Altered sensitivity to the emotional context represents a useful and easy way to obtain cognitive phenotype that correlates strongly with inter-individual variations in neuroticism linked to stress vulnerability and subsequent psychopathology. Present findings could have implication in early intervention strategies and staging models in psychiatry. © 2016 John Wiley & Sons, Ltd.

Aim: The aim of the present study was to examine whether healthy individuals with higher levels of neuroticism, a robust independent predictor of psychopathology, exhibit altered facial emotion recognition performance. Methods: Facial emotion recognition accuracy was investigated in 104 healthy adults using the Degraded Facial Affect Recognition Task (DFAR). Participants' degree of neuroticism was estimated using neuroticism scales extracted from the Eysenck Personality Questionnaire and the Revised NEO Personality Inventory. Results: A significant negative correlation between the degree of neuroticism and the percentage of correct answers on DFAR was found only for happy facial expression (significant after applying Bonferroni correction). Conclusions: Altered sensitivity to the emotional context represents a useful and easy way to obtain cognitive phenotype that correlates strongly with inter-individual variations in neuroticism linked to stress vulnerability and subsequent psychopathology. Present findings could have implication in early intervention strategies and staging models in psychiatry. © 2016 John Wiley & Sons, Ltd.

There is an ongoing debate on which risk factors for developing posttraumatic stress symptoms are more important-personality traits reflecting vulnerability, previous stressful experiences or characteristics of the traumatic event. In this study, posttraumatic stress symptoms and their relationship with personality traits, previous stressful experiences and exposure to stressful events during air attacks in Yugoslavia were investigated. The Millon Clinical Multiaxial Inventory (MCMI; Millon, 1983), Impact of Events Scale (IES; Horowitz, Wilner, & Alvarez, 1979), Life Stressor Checklist Revised (LSCL-R; Wolfe & Kimerling, 1997), and List of Stressors were administered to a homogeneous group of medical students 1 year after the attacks. In multiple regression analyses, compulsive and passive-aggressive personality traits and a higher level of exposure to stressors during air attacks independently predicted the degree of intrusion symptoms. Avoidance symptoms were predicted by avoidant personality traits and a higher exposure to stressors both previously in life and during the attacks. In the next step, we tested in analyses of variance whether personality traits, previous stressful experiences, and stressful events during attacks as independent variables interact in predicting intrusion and avoidance symptoms. For this, students were clustered into three groups depending on their predominant personality traits. In addition to direct predictive effects, there were significant interaction effects in predicting both intrusion and avoidance. The findings suggest that each of the tested factors, i.e., personality traits, previous stressful experiences, and exposure to traumatic events may have an independent and direct influence on developing posttraumatic stress. However, the effect of these factors cannot just be added up. Rather, the factors interact in their impact on posttraumatic stress symptoms. Bigger samples and longitudinal designs will be required to understand precisely how different personality traits influence response to stressful events.

There is an ongoing debate on which risk factors for developing posttraumatic stress symptoms are more important-personality traits reflecting vulnerability, previous stressful experiences or characteristics of the traumatic event. In this study, posttraumatic stress symptoms and their relationship with personality traits, previous stressful experiences and exposure to stressful events during air attacks in Yugoslavia were investigated. The Millon Clinical Multiaxial Inventory (MCMI; Millon, 1983), Impact of Events Scale (IES; Horowitz, Wilner, & Alvarez, 1979), Life Stressor Checklist Revised (LSCL-R; Wolfe & Kimerling, 1997), and List of Stressors were administered to a homogeneous group of medical students 1 year after the attacks. In multiple regression analyses, compulsive and passive-aggressive personality traits and a higher level of exposure to stressors during air attacks independently predicted the degree of intrusion symptoms. Avoidance symptoms were predicted by avoidant personality traits and a higher exposure to stressors both previously in life and during the attacks. In the next step, we tested in analyses of variance whether personality traits, previous stressful experiences, and stressful events during attacks as independent variables interact in predicting intrusion and avoidance symptoms. For this, students were clustered into three groups depending on their predominant personality traits. In addition to direct predictive effects, there were significant interaction effects in predicting both intrusion and avoidance. The findings suggest that each of the tested factors, i.e., personality traits, previous stressful experiences, and exposure to traumatic events may have an independent and direct influence on developing posttraumatic stress. However, the effect of these factors cannot just be added up. Rather, the factors interact in their impact on posttraumatic stress symptoms. Bigger samples and longitudinal designs will be required to understand precisely how different personality traits influence response to stressful events.

Background: Based on the known relationship between the human emotion and standard surface electrocardiogram (ECG), we explored the relationship between features extracted from standard ECG recorded during relaxation and seven personality traits (Honesty/humility, Emotionality, eXtraversion, Agreeableness, Conscientiousness, Openness, and Disintegration) by using the machine learning (ML) approach which learns from the ECG-based features and predicts the appropriate personality trait by adopting an automated software algorithm. Methods: A total of 71 healthy university students participated in the study. For quantification of 62 ECG-based parameters (heart rate variability, as well as temporal and amplitude-based parameters) for each ECG record, we used computation procedures together with publicly available data and code. Among 62 parameters, 34 were segregated into separate features according to their diagnostic relevance in clinical practice. To examine the feature influence on personality trait classification and to perform classification, we used random forest ML algorithm. Results: Classification accuracy when clinically relevant ECG features were employed was high for Disintegration (81.3%) and Honesty/humility (75.0%) and moderate to high for Openness (73.3%) and Conscientiousness (70%), while it was low for Agreeableness (56.3%), eXtraversion (47.1%), and Emotionality (43.8%). When all calculated features were used, the classification accuracies were the same or lower, except for the eXtraversion (52.9%). Correlation analysis for selected features is presented. Conclusions: Results indicate that clinically relevant features might be applicable for personality traits prediction, although no remarkable differences were found among selected groups of parameters. Physiological associations of established relationships should be further explored. © 2021 The Authors. Annals of Noninvasive Electrocardiology published by Wiley Periodicals LLC.