Screening for depression in the Serbian general population sample: an alternative to the traditional patient health questionnaire-9 cut-off score.

BACKGROUND: The Patient Health Questionnaire (PHQ-9) score ≥ 10 balances best sensitivity and specificity when detecting probable depression in patients. In the general population, different cut-offs are suggested. European studies on general populations validating the PHQ-9 against a diagnostic interview to detect depression are rare. METHODS: This was a cross-sectional observational epidemiological survey using multistage household probabilistic sampling to recruit a representative adult sample (N = 1203; age = 43.7 ± 13.6; 48.7% male). Mental disorders including current major depressive episode (MDE) were observer-rated (Mini International Neuropsychiatric Interview). The PHQ-9, quality of life (QoL), and loneliness were self-assessed. We performed validity and reliability tests of the PHQ-9 and receiver operating curve (ROC) analysis. RESULTS: The Serbian PHQ-9 was internally consistent and correlated in the expected directions with QoL and loneliness. At the cut-off score ≥ 8, sensitivity was .85 and specificity was .91. ROC analysis showed that the area under the curve was .95, indicating that the Serbian PHQ-9 can discriminate very well between persons with/without MDE. CONCLUSIONS: When the PHQ-9 is assessed against the structured diagnostic interview in the general population to detect depression, the cut-off of ≥8 balances best sensitivity and specificity.

Do people diagnosed with psychosis spectrum disorders share the same personality space as the general population? Big Five complemented by the proneness to psychotic-like experiences/behaviors.

OBJECTIVE: Disintegration is a recently proposed broad, trait-like reconceptualization of the proneness to psychotic-like experiences/behaviors. METHODS: We tested the assumption that the 6-factor model (Five-Factor traits plus Disintegration) was the most adequate one and that it was invariant across clinical and non-clinical populations. The clinical sample (n = 161) consisted of patients who had at least one psychotic episode, duration of illness less than 10 years, currently in remission. The general population (n = 409) was matched with the patient sample by age, gender, and education. NEO PI-R and DELTA were used to measure personality dimensions in both samples. Invariance of one to six-factor solutions was tested by Exploratory Structural Equation Modeling. RESULTS: We found that: (a) several criteria for deciding on the number of factors to retain converged to the conclusion that the assumed 6-factor model was the most adequate one, (b) the assumed factorial structure appeared to satisfy the criteria for the scalar invariance across the two samples, (c) all nine Disintegration subdimensions separated from the Big Five, forming the Disintegration factor, and (d) Disintegration was unrelated to Openness. CONCLUSION: The Big Five personality structure-complemented with disintegration-was invariant across individuals from the general population and patients with psychosis.

The anatomy of COVID-19-related conspiracy beliefs: Exploring their nomological network on a nationally representative sample.

OBJECTIVES: The outbreak of the COVID-19 pandemic was followed by the widespread proliferation of conspiracy beliefs (CBs) regarding the origin and harmfulness of the virus and a high level of hesitancy to vaccinate. We aimed to test a series of hypotheses on the correlates of CBs and vaccination, including socio-demographic factors, personality dispositions, somatic health, stressful experiences during pandemics, and psychological distress. METHOD: The sample (N = 1203), was based on a multistage probabilistic household sampling representative of the general population. The subjects were randomly split into two approximately equal subgroups, enabling cross-validation. Based on the findings in the exploratory, the SEM model was tested in the confirmatory subsample. RESULTS: The correlates of CBs were Disintegration (proneness to psychotic-like experiences), low Openness, lower education, Extraversion, living in a smaller settlement and being employed. The correlates of vaccination were older age, CBs and larger places of living. Evidence on the role of stressful experiences and psychological distress in CBs/vaccination was not found. The findings of moderately strong and robust (cross-validated) paths, leading from Disintegration to CBs and from CBs to vaccination were the most important ones. DISCUSSION: Conspiratorial thinking tendencies-related to health-related behaviour such as vaccination-appear to be, to a considerable extent, manifestations of the mechanisms that are part of our stable, broad, trait-like thinking/emotional/motivational/behavioural tendencies, primarily proneness to psychotic-like experiences & behaviours.

Relationship between electrocardiogram-based features and personality traits: Machine learning approach.

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.

The relationship between closed-mindedness and militant extremism in a post-conflict society.

This study aimed to examine the role of socio-political attitudes and motivational tendencies supposed to mark closed-mindedness, as well as other relevant variables of individual differences (Disintegration, i.e., proneness to psychotic-like experiences/behaviors and Death Anxiety), in the Militant Extremist Mindset (MEM). A community sample of 600 young respondents (Serbs, Bosniaks, and Albanians, aged 18-30) was recruited within a multiethnic region of Serbia that experienced armed conflict during the break-up of the former Yugoslavia. The best-fitted SEM model, incorporating measurement and structural relationships between the variables, showed that the latent factor of Closed-mindedness predicted all three aspects of MEM as well as Neighborhood Grudge, that is, resentment toward neighboring ethnicities. The effects of Disintegration and Death Anxiety on MEM were entirely mediated by Closed-mindedness. Compared to previous findings, Closed-mindedness appears to represent the most important set of cognitive and motivational tendencies that channel protracted intergroup tensions into militant extremism.

What drives us to be (ir)responsible for our health during the COVID-19 pandemic? The role of personality, thinking styles, and conspiracy mentality.

The study aimed to investigate the role of personality, thinking styles, and conspiracy mentality in health-related behaviors during the COVID-19 pandemic, i.e., recommended health behaviors according to COVID-19 guidelines and engagement in pseudoscientific practices related to COVID-19. Basic personality space was defined by the HEXACO model complemented by Disintegration, which represents psychotic-like experiences and behaviors reconceptualized as a personality trait. Mediation analyses conducted on a convenient sample from the general population recruited via social media and by snowballing (N = 417) showed that engagement in pseudoscientific behaviors was predicted by high Disintegration. However, this relationship was entirely mediated by high experiential and low rational thinking styles. Adherence to health practices recommended by COVID-19 guidelines was predicted by high Honesty traits, while low Disintegration had both direct and indirect effects through conspiracy mentality.

Relations Between Lexical and Biological Perspectives on Personality: New Evidence Based on HEXACO and Affective Neuroscience Theory.

We provide evidence on the convergence of language-based questionnaire and biological perspectives on personality traits. The first study, conducted on Serbian students, provided evidence on the position of Panksepp's Affective Neuroscience Personality Scales (ANPS) in the personality space defined by HEXACO facets. The second, replicatory study was conducted on a sample of German young adults. Results show that the instruments based on these 2 approaches target highly similar personality phenomena, which is revealed in the high canonical correlations between them (the first 3 being above .70 in both samples). Despite the overlap, the scales measuring emotional systems do not map onto HEXACO factors one-to-one, and mostly have substantial loading on more than 1 HEXACO factor. The pattern of correlations between HEXACO and ANPS scales was highly similar in the 2 samples. The importance of the findings for the personality taxonomy and theory is discussed.

Ambulatory assessment of language use: Evidence on the temporal stability of Electronically Activated Recorder and stream of consciousness data.

The ambulatory assessment offers a wide range of methods enabling researchers to investigate psychological, behavioral, emotional, and biological processes. These methods enable us to gather data on individual differences in language use for psychological research. Two studies were conducted with an aim to evaluate and compare the temporal stability of language measures extracted by LIWC software form data obtained by two frequently used methods for assessment of language use, i.e., Electronically Activated Recorder (EAR) and stream of consciousness (SOC) task. Additionally, we examined the amount of variance in language use (assessed by both methods) that can be attributed to intra-individual variability and stable individual differences. Study 1 was focused on investigating language use obtained from 74 respondents using the EAR for 3 consecutive days. Study 2 was conducted on 250 respondents participating in a SOC task where verbal production was collected at ten time points over a 2-month period. Results show that measures obtained using the SOC task have higher temporal stability and consistency, and to a certain extent enable better detection of individual differences. Taking into account certain situational variations improves the reliability of EAR measures.

Prevalence of questionable health behaviours in Serbia and their psychological roots: protocol for a nationally representative survey.

INTRODUCTION: We will launch a national survey in Serbia to document the prevalence of two types of questionable health behaviours: (1) intentional non-adherence to medical recommendations and (2) use of traditional, complementary and alternative medicine practices, as well as the relation between the two. We will also investigate their psychological roots, including (a) 'distal' predictors such as HEXACO personality traits (plus Disintegration) and thinking dispositions (rational/experiential thinking and cognitive reflexivity), and (b) 'proximal' predictors under the umbrella 'irrational mindset' (set of unfounded beliefs consisting of conspiratorial thinking, superstition, magical health beliefs as well as selected cognitive biases), which have more content-wise overlap with the health behaviours. METHODS AND ANALYSIS: In this cross-sectional study, a research agency will collect data from a nationally representative sample (n=1043; age 18-75 years; estimated start/end-June/November 2021) recruited online (approximately, 70% of the sample, aged 18-54; 11 years) and face-to-face (approximately, 30% of the sample, aged 55-75 years). Participants will complete a battery of tests assessing questionable health behaviours, basic personality traits, thinking dispositions, irrational mindset, sociopolitical beliefs, sociodemographic and health-related variables. Prevalence rates will be calculated using descriptive statistics. To explore the relation between (psychological) predictors and questionable health behaviours, we will use hierarchical regression and partial mediation models (path analysis or full SEM models). ETHICS AND DISSEMINATION: Ethical Committees of the Faculty of Philosophy in Belgrade (#935/1), Faculty of Special Education and Rehabilitation (#139/1) and Faculty of Media and Communications (#228) approved the protocol. Only participants who provide informed consent will participate in the study. A research report based on the study results will be submitted to peer-reviewed journals and results will be made available to stakeholders through reports on the project website https://reasonforhealth.f.bg.ac.rs/en/ and disseminated via social media. TRIAL REGISTRATION NUMBER: NCT05808660.

Relationships between Physical Activity and Selected Chronic Diseases among Functionally Independent Long-Term Care Residents during the Post-Lockdown Period in Croatia.

The aim of this observational study was to investigate the level and association of physical activity and selected chronic diseases in functionally independent LTC residents after prolonged physical and social isolation during COVID-19 in Croatia. Adhering to the inclusion criteria, 180 functionally independent residents were included in the study. Assessment of physical activity was carried out by 7-day motor monitoring. Prolonged physical and social isolation negatively affected the achieved level of physical activity of LTC residents (x¯ = 5058.74). Major depressive disorder resulted in significantly lower residents' physical activity scores, demonstrating a shrinking effect ranging from 0.42 to 0.45. A significant negative impact on the residents' physical activity was also found in the presence of osteoarthritis and iron deficiency anemia, where a downward effect was present in the range from 0.66-0.72 and 0.64 to 0.66. The presence of comorbidities has a significant negative impact on the residents' physical activity, where a downward effect is present in the range from 0.91-0.92.