Use of Broadband Personality Tests in Bariatric Surgery: A Scoping Review.

INTRODUCTION: Studies have reported significant associations between personality scales of broadband psychometric testing to bariatric surgical outcomes; however, the literature falls short in outlining how these instruments can be best utilized to optimize weight loss milestones after surgery. The purpose of this scoping review is to analyze the literature utilizing broadband personality tests in the bariatric surgical population with relation to weight loss outcomes to identify gaps in research and summarize results to guide American Society for Metabolic and Bariatric Surgery practices and future research. METHODS: Six databases were searched for broadband personality assessments, bariatric surgery, and weight loss outcomes terms. Studies included were peer-reviewed, published in English, and compared psychological assessments and weight loss outcomes. RESULTS: Five hundred nineteen studies were reviewed, with 20 included in the full-text analysis. Studies used at least one of six defined broadband personality assessments. Elevated scores for depression were associated with lower weight loss with three of the assessments. Anxiety was inconsistently associated with postoperative weight loss, but this may be dependent on follow-up time CONCLUSIONS: Preoperative broadband personality assessments may support identifying behaviors that help patients reach their postoperative weight loss goals. Inconsistencies in the reporting of weight loss outcome measures across the literature make it difficult to draw significant conclusions. The American Society for Metabolic and Bariatric Surgery recommends standardization of outcome reporting, further highlighting a need in research to identify scales that are consistent predictors of weight loss outcomes.

Sensory Processing Sensitivity and the Importance of Individuality and Personality in Veterinary Medicine.

Sensory processing sensitivity (SPS) is a personality trait described in humans and dogs that mediates how individuals are affected by experiences. It involves being aware of subtle stimuli, high emotional intensity and empathy, and deeper processing of information. Recognizing individuals scoring higher in SPS is likely to help better diagnose, treat, and prevent both psychological (behavioral) and physical problems, leading to increased welfare and quality of life of the animal and its surroundings.

Communication Modalities, Personality Traits, and Change in Perceived Control Over Social Life Following Onset of the COVID-19 Pandemic Among Older Americans.

We examined associations between change in social contact communication modalities and change in perceived control over social life (PCOSL) following onset of the COVID-19 pandemic among older Americans and evaluated the extent to which associations were moderated by personality. Data were from the 2016 and 2020 waves of the Health and Retirement Study. Multivariate ordinary least squares regression analyses were computed adjusting for baseline PCOSL, sociodemographic, health, and psychosocial factors. Multiple moderation analyses revealed that extraversion moderated the association between change in social media communication and change in PCOSL before to during COVID-19. As levels of engagement in social media communication increased, those with high extraversion experienced increases in PCOSL, whereas those with low extraversion experienced decreases in PCOSL. Findings suggest that social interventions targeting perceived control and communication modality may be useful for older adults during global health events and that personality characteristics can help to inform intervention choices.

Self-esteem and cortical thickness correlate with aggression in healthy children: A surface-based analysis.

Aggressive behavior can have serious physical, psychological, and social consequences. However, little is known about the personality and neurological antecedents underlying aggressive behavior in children. The objective of this study was to investigate the relationship between self-esteem, aggression, and brain structure (i.e., cortical thickness and surface area) in a population of healthy children (N = 78; 9-12 years; mean age: 9.95 ± 0.90 years). The results revealed that self-esteem showed a negative association with aggression and significantly predicted aggressive behavior. No gender differences were found in aggression and its neural correlates. We performed the cortical parcellation method to further explore the neural foundations underlying the association of self-esteem with aggression. Children with higher aggression had increased cortical thickness in four clusters after multiple comparison correction: right medial orbitofrontal cortex, right lateral orbitofrontal cortex, right superior frontal gyrus, and left insula. In a mediation analysis, cortical thickness in the right medial orbitofrontal cortex contributed to the effect of self-esteem on aggression. These findings extend our understanding of morphological correlates of aggression in children, suggesting that an increased cortical thickness in childhood is a potential mechanism linking low self-esteem to aggression.

Resilience Phenotypes and Psychological Functioning among Individuals with Opioid Use Disorder.

BACKGROUND: Opioid use disorder (OUD) is a heterogeneous disorder. However, there is a lack of deep phenotyping investigations focusing on important psychological constructs such as resilience that may impact OUD. The present study aimed to investigate the relationship between trait resilience and the five-factor model of personality (FFM) among individuals with opioid use disorder (OUD). We also explored whether the FFM and trait resilience form specific phenotypes associated with psychological functioning. METHODS: This secondary analysis of an epigenetic study included participants of African ancestry (n = 72), an understudied population, who met DSM-5 criteria for OUD. Participants completed measures to assess personality traits, trait resilience, current and previous drug use, and psychological functioning (depression, anxiety, and stress). RESULTS: Linear regression revealed a significant relationship between resilience (CD-RISC-25 score) and the FFM, R2 = 0.56, F(5,62) = 15.7, p<.001. Further, a two-cluster classification emerged as the optimal solution from the cluster analysis. Cluster 1 (n = 33, 45.8% of the sample) showed lower resilience (CD-RISC-25 score: M = 58.6, SD = 11.2) compared to Cluster 2 (n = 35, 48.6%; CD-RISC-25 score: M = 76.1, SD = 11.9). The "High-Resilience Cluster" (Cluster 2) was characterized by higher FFM traits of: Extraversion, Openness, Agreeableness, and Conscientiousness, and lower Neuroticism versus Cluster 1. Multivariate analysis of variance revealed statistically significant differences between the two resilience clusters concerning other psychological symptoms, Λ = 0.732, F(4, 50) = 7.05, p < 0.003. CONCLUSIONS: These findings suggest associations between the FFM and trait resilience among individuals with OUD. Two distinct "resilience phenotypes" emerged, with high-resilience individuals displaying less stress, anxiety, and depressive symptoms. Results highlight the clinical importance of resilience as a potential target for intervention in people with OUD.

Hermit crabs as model species for investigating the behavioural responses to pollution.

Human impacts on the environment affect organisms at all levels of biological organisation and ultimately can change their phenotype. Over time, phenotypic change may arise due to selection but individual phenotypes are also subject to change via genotype × environment interactions. In animals, behaviour is the most flexible aspect of phenotype, and hence the most liable to change across environmental gradients including exposure to pollution. Here we review current knowledge on the impacts of pollution, broadly defined to include the release of substances, energy, and the effects of carbon emissions, on the behaviour of a highly studied group, the globally distributed hermit crabs. We first show how their obligate association with empty gastropod shells underpins their use as model organisms for the study of resource-assessment, contest, and risk-coping behaviours. Intense study of hermit crabs has advanced our understanding of how animals use information, and we discuss the ways in which pollutants can disrupt the cognitive processes involved. We then highlight current studies of hermit crabs, which paint a clear picture of behavioural changes due to multiple pollutants. Impacts on behaviour vary across pollutants and entire suites of behaviours can be influenced by a single pollutant, with the potential for interactive and cascade effects. Hermit crabs offer the opportunity for detailed behavioural analysis, including application of the repeated measures animal-personality framework, and they are highly amenable to experimental manipulations. As such, we show how they now provide a model system for studying the impacts of pollution on behaviour, yielding insights broadly applicable across animal diversity.

Evidence-Based Assessment of Personality Disorder.

The purpose of this article is to provide a description and discussion of the evidence-based assessment of personality disorder. Considered herein is the assessment of the Section II personality disorders included within the fifth edition of the American Psychiatric Association's (APA) Diagnostic and Statistical Manual of Mental Disorders (5th ed., text rev.; DSM-5-TR), within Section III of DSM-5-TR, and within the 11th edition of the World Health Organization's International Classification of Diseases (WHO). The recommendation for an evidence-based assessment is for a multimethod approach: first administer a self-report inventory to alert the clinician to maladaptive personality functioning that might not have otherwise been anticipated, followed by a semi-structured interview to verify the personality disorder's presence. The validity of this multimethod strategy can be improved further by considering the impact of other disorders on the assessment, documenting temporal stability, and establishing a compelling, empirical basis for cutoff points.

Hand-blink reflex modulation: The role of primary emotions and attachment dimensions.

The hand-blink reflex (HBR) is a subcortical response elicited by the electrical stimulation of the median nerve. HBR magnitude is enhanced when the stimulated hand is close to the face and is modulated by high-level structures according to the perceived threat magnitude. Psychological factors may contribute to threat evaluation and possibly to HBR amplitude modulation. In this study, we assessed distinctively emotional and relational aspects of personality and evaluated their associations with the HBR response, or lack thereof, in healthy subjects. Seventy-one volunteers filled the Experiences in Close Relationships Scale, the Affective Neuroscience Personality Scales, and the State-Trait Anxiety Inventory Form Y questionnaires and underwent HBR recording. We found that the HBR could be evoked only in 50.7% of all subjects (responders). Non-responders subjects showed higher scores in the avoidance dimension (p = .005), and lower scores in the care dimension (p = .008), compared with responders. In responders, regression analysis showed a negative association of HBR amplitude (difference in near vs. far responses) with anger dimension and a positive association with state anxiety (R2 = 0.239). A positive association also emerged with HBR latency and fear dimension (R2 = 0.419). We conclude that primary emotional and relational factors may play an important role in the modulation of brainstem circuits mediating the HBR response. Our results may also contribute to the question about the absence of the HBR in about half of the subjects since high-level cognitive processes seem to play an important role in the differentiation between responder and non-responder.

Reactivity of the ventromedial prefrontal cortex, but not the amygdala, to negative emotion faces predicts greed personality trait.

This study explored whether amygdala reactivity predicted the greed personality trait (GPT) using both task-based and resting-state functional connectivity analyses (ntotal = 452). In Cohort 1 (n = 83), task-based functional magnetic resonance imaging (t-fMRI) results from a region-of-interest (ROI) analysis revealed no direct correlation between amygdala reactivity to fearful and angry faces and GPT. Instead, whole-brain analyses revealed GPT to robustly negatively vary with activations in the right ventromedial prefrontal cortex (vmPFC), supramarginal gyrus, and angular gyrus in the contrast of fearful + angry faces > shapes. Moreover, task-based psychophysiological interaction (PPI) analyses showed that the high GPT group showed weaker functional connectivity of the vmPFC seed with a top-down control network and visual pathways when processing fearful or angry faces compared to their lower GPT counterparts. In Cohort 2, resting-state functional connectivity (rs-FC) analyses indicated stronger connectivity between the vmPFC seed and the top-down control network and visual pathways in individuals with higher GPT. Comparing the two cohorts, bilateral amygdala seeds showed weaker associations with the top-down control network in the high group via PPI analyses in Cohort 1. Yet, they exhibited distinct rs-FC patterns in Cohort 2 (e.g., positive associations of GPT with the left amygdala-top-down network FC but negative associations with the right amygdala-visual pathway FC). The study underscores the role of the vmPFC and its functional connectivity in understanding GPT, rather than amygdala reactivity.

Self-Reported Gonadal Pubertal Timing Predicts Adolescent Borderline Personality Symptoms: Two Extended Replications With Prospective and Cross-Sectional Data.

The current study investigated the understudied relationship between pubertal timing and borderline personality disorder (BPD) symptoms in males and females. We conducted hierarchical linear regressions in a longitudinal Cohort 1 (N = 117) and a cross-sectional Cohort 2 (N = 127). Cohort 1: Pubertal timing was self-reported at age 10; BPD symptoms and covariates were assessed between ages 13 and 19. Cohort 2: All assessments were between ages 8 and 12. Covariates: race, age, internalizing and externalizing symptoms, and income-to-needs ratio. Sex differences were examined post hoc. In Cohort 1, early gonadal timing was associated with more BPD symptoms in females (beta = .46, p = .002), and late gonadal timing was associated with more BPD symptoms in males (beta = -.23, p = .035). In Cohort 2, early gonadal timing was associated with more BPD symptoms (beta = .21, p = .033) without sex moderation. Results indicate that early gonadal development could be a risk indicator for the emergence of BPD in adolescence, particularly in females, which could inform causal mechanisms and intervention targets.

Loneliness Is Associated With Lower Self- and Clinician-Rated Levels of Personality Functioning.

Personality disorders (PDs) are associated with interpersonal dysfunction, loneliness, and reduced social embeddedness. This study investigates loneliness and social network size in association with self- and clinician-rated personality functioning regarding the DSM-5's Alternative Model for Personality Disorders (AMPD). Eighty psychiatric inpatients including participants with and without PDs completed the Semi-structured Interview for Personality Functioning, the Level of Personality Functioning Scale - Brief Form, the UCLA Loneliness Scale, and the Social Network Index. Patients with PDs reported more loneliness and personality dysfunctioning than patients without PDs. Social network size did not differ between patient groups and showed lower correlations with personality functioning compared to loneliness. Loneliness was further associated with deficits in personality functioning. Deficits in distinct AMPD domains and loneliness may constitute transdiagnostically relevant factors that are related and mutually reinforcing. This could be important for identifying patients beyond PD diagnoses who are at risk of poor psychosocial functioning and require tailored psychotherapy.

Analysis of post-migration traumatic events influence on immigrants and their personality traits.

OBJECTIVES: This study aims to analyse the way immigrants and their personality traits get affected by traumatic events in the post-migration process. METHODS: This descriptive study was conducted through Google Forms with the involvement of 2,509 immigrants. A descriptive questionnaire, the "IFOMA Post-Migration Post-Traumatic Effect Scale" and the "GADOT Personality Types Determination Scale" were used to collect the research data. Independent samples t-test, one-way ANOVA, and related sample Friedman's two-way analysis tests were used in data analysis. RESULTS: Immigrants were exposed to significant effects in all sub-dimensions of the Post-Migration Post-Traumatic Effect Scale. Experiencing post-traumatic stress was found to be significantly related to the research parameters, which, respectively, are gender, age, marital status, educational background, legal status, years of living in the current country, employment status, ethnicity, Turkish language proficiency, and post-migration psychological problems (p < 0.05); 42.8% of the immigrants had the Type 9 personality, and all personality types were affected by the Psychological Affection, Physical Affection, Anxiety, and Social Adaptation sub-dimensions, respectively (p < 0.05). CONCLUSION: By analysing the impact of migration-induced trauma on immigrants within their society, it can be recommended to implement initiatives specific to immigrants' personality traits and to carry out protective/preventive projects that will minimize immigrants' exposure to trauma and encourage their participation in social adaptation processes.

Conceptualizing a less paranoid schizophrenia.

Schizophrenia stands as one of the most studied and storied disorders in the history of clinical psychology; however, it remains a nexus of conflicting and competing conceptualizations. Patients endure great stigma, poor treatment outcomes, and condemnatory prognosis. Current conceptualizations suffer from unstable categorical borders, heterogeneity in presentation, outcome and etiology, and holes in etiological models. Taken in aggregate, research and clinical experience indicate that the class of psychopathologies oriented toward schizophrenia are best understood as spectra of phenomenological, cognitive, and behavioral modalities. These apparently taxonomic expressions are rooted in normal human personality traits as described in both psychodynamic and Five Factor personality models, and more accurately represent explicable distress reactions to biopsychosocial stress and trauma. Current categorical approaches are internally hampered by axiomatic bias and systemic inertia rooted in the foundational history of psychological inquiry; however, when such axioms are schematically decentralized, convergent cross-disciplinary evidence outlines a more robust explanatory construct. By reconceptualizing these disorders under a dimensional and cybernetic model, the aforementioned issues of instability and inaccuracy may be resolved, while simultaneously opening avenues for both early detection and intervention, as well as for more targeted and effective treatment approaches.

Relevance of the anterior cingulate cortex volume and personality in motivated physical activity behaviors.

Some recent theories about the origins and maintenance of regular physical activity focus on the rewards of the properties of practicing this activity. Animal and human studies have demonstrated that mesolimbic dopamine plays a crucial role in the involvement in voluntary physical activity. Here, we test this possible role in a sample of 66 right-handed healthy young adults by studying the influence of personality and the volume of reward-related brain areas on individual differences in voluntary physical activity, objectively measured by accelerometer and subjectively self-reported by questionnaire. Our results show that a smaller volume of the right anterior cingulate cortex and lower scores on reward sensitivity contributed to explaining low levels of daily physical activity. Moreover, the volume of the right anterior cingulate cortex correlates positively with self-reported total physical activity. Results are discussed by highlighting the need to use objective measures of daily physical activity, as well as the important role of the anterior cingulate cortex and personality in promoting effortful and invigorating actions to obtain rewards.

A NEW DANGER OF BEHAVIORAL ADDICTION: CRYPTOCURRENCY WITH MOBILE INVESTING.

BACKGROUND: Cryptocurrencies are a popular investment tool today. However, some studies highlight the investing behavior of cryptocurrencies similar to pathological gambling. Investing behavior becomes risky when it is not based on proper and adequate analysis and carries the possibility of big losses as well as big gains. For this reason, we aimed to determine the potential risky investor profile by age, gender, personality traits and impulsivity levels. SUBJECTS AND METHODS: Six hundred and fifty-four cryptocurrencies investors (529 was male, 125 was female, their mean age was 35.6 ± 9.0) participated in this study between June 2022 - August 2022. Participants were administered the Sociodemographic Data Form, the South OAKS Gambling Screen Test - revised (SOGS-r), the Big Five Inventory (BFI-10), and Barratt Impulsiveness Scale-11 (BIS-11). RESULTS: We found higher neuroticism and impulsivity in possible problematic crypto investors. In addition, extraversion, agreeableness and conscientiousness scores were lower. Additionally, in our regression analyzes we found that younger age and male gender predicted SOGS-r scores. After controlling for age and gender, extraversion negatively and motor impulsivity positively predicted SOGS-r scores. DISCUSSION: Investing in cryptocurrencies can become a behavioral addiction, similar to pathological gambling. It is important to identify profiles in which investment behavior is risky. CONCLUSION: Personality traits and impulsivity may have a significant impact on identifying risky crypto investors and in the treatment process.

From multimodal features to behavioural inferences: A pipeline to model engagement in human-robot interactions.

Modelling the engaging behaviour of humans using multimodal data collected during human-robot interactions has attracted much research interest. Most methods that have been proposed previously predict engaging behaviour directly from multimodal features, and do not incorporate personality inferences or any theories of interpersonal behaviour in human-human interactions. This work investigates whether personality inferences and attributes from interpersonal theories of behaviour (like attitude and emotion) further augment the modelling of engaging behaviour. We present a novel pipeline to model engaging behaviour that incorporates the Big Five personality traits, the Interpersonal Circumplex (IPC), and the Triandis Theory of Interpersonal Behaviour (TIB). We extract first-person vision and physiological features from the MHHRI dataset and predict the Big Five personality traits using a Support Vector Machine. Subsequently, we empirically validate the advantage of incorporating personality in modelling engaging behaviour and present a novel method that effectively uses the IPC to obtain scores for a human's attitude and emotion from their Big Five traits. Finally, our results demonstrate that attitude and emotion are correlates of behaviour even in human-robot interactions, as suggested by the TIB for human-human interactions. Furthermore, incorporating the IPC and the Big Five traits helps generate behavioural inferences that supplement the engaging behaviour prediction, thus enriching the pipeline. Engagement modelling has a wide range of applications in domains like online learning platforms, assistive robotics, and intelligent conversational agents. Practitioners can also use this work in cognitive modelling and psychology to find more complex and subtle relations between humans' behaviour and personality traits, and discover new dynamics of the human psyche. The code will be made available at: https://github.com/soham-joshi/engagement-prediction-mhhri.

Exploring the mediating effect of personality traits in the relationship between entrepreneurial intentions and academic performance among students.

This study explores the mediating effect of personality traits in the relationship between entrepreneurial intentions and student academic performance. The sample comprised 175 students from a top-ranked Tamil Nadu, India university. Data was collected using a survey questionnaire as the research instrument. A descriptive research design was employed to understand the variables under investigation comprehensively. Partial Least Squares Structural Equation Modeling (PLS-SEM) and SPSS v25 was utilized as the statistical analysis tool. This study used the Theory of Planned Behaviour as a theoretical framework to explore the mediating effect of personality traits in the relationship between entrepreneurial intentions and academic performance among university students. The study's findings revealed essential insights into the relationship between entrepreneurial intentions, personality traits, and academic performance. The results showed that personality traits significantly mediate the relationship between entrepreneurial intentions and academic performance. This finding suggests that a student's personality traits influence the impact of entrepreneurial intentions on academic performance. Furthermore, the study found that while entrepreneurial intentions did not have a significant direct effect on academic performance, they did have a substantial indirect effect through personality traits. This indicates that personality traits act as a crucial mechanism through which entrepreneurial intentions can influence academic performance among students.

Association between personality traits and smoking cessation among Chinese adults.

BACKGROUND: Although the tobacco epidemic is one of the greatest public health threats, the smoking cessation rate among Chinese adults is considerably lower. Personality information may indicate which treatments or interventions are more likely to be effective. China is the largest producer and consumer of tobacco worldwide. However, little is known about the association between smoking cessation and personality traits in China. AIM: This study aimed to examine the association between successful smoking cessation and personality traits among Chinese adults. METHODS: This cross-sectional study used data from the 2018 China Family Panel Studies. Probit regression models were employed to analyze the association between successful smoking cessation and personality traits stratified by sex. RESULTS: Lower scores for neuroticism (Coef.=-0.055, p < 0.1), lower scores for extraversion (Coef.=-0.077, p < 0.05), and higher scores for openness to experience (Coef.=0.045, p < 0.1) predicted being a successful male quitter after adjusting for demographics. Moreover, lower scores for conscientiousness (Coef.=-0.150, p < 0.1) predicted being a successful female quitter after adjusting for demographics. CONCLUSION: The empirical findings suggested that among Chinese men, lower levels of neuroticism, lower levels of extraversion, and higher levels of openness to experience were associated with a higher likelihood of smoking cessation. Moreover, lower levels of conscientiousness were associated with successful smoking cessation among Chinese women. These results showed that personality information should be included in smoking cessation interventions.

The Role of Self-Compassion and Attributions in the Mental Health of Older Adolescents amid the COVID-19 Pandemic.

This study aimed to examine the relationship among self-compassion, attributional styles, and mental health and their components in older adolescents in the context of the COVID-19 pandemic. The role of each component of self-compassion (self-kindness, common humanity, mindfulness, self-judgment, isolation, and over-identification) and attributions (globality, stability, self-worth, and negative consequences) in predicting mental health was also analyzed. There were 322 participants aged 18 to 22 that participated in an online survey. The participants filled out a form that consisted of sociodemographic questions, COVID-19-related questions, the Self-Compassion Scale, the Mental Health Continuum-short form-and the Cognitive Styles Questionnaire-very short form. The results indicated moderate levels of self-compassion, attributions, and mental health in participants. Furthermore, gender differences in self-compassion were confirmed, meaning that male participants had higher total levels of self-compassion, and certain differences were observed on attribution subscales, but not on well-being subscales. Self-compassion and mental health were found to be positively correlated with each other and negatively correlated with negative attributions. Of the four attributional components, stability and negative consequences were revealed to be significant negative predictors in the first step but lost their significance with the inclusion of self-compassion components in the second step of the analysis. Regarding the six components of self-compassion, self-kindness, recoded isolation, and common humanity were significant positive predictors in the second step of the analysis. COVID-19-related items did not show any significant intergroup differences. Our findings contribute to a better understanding of the relationship between positive mental health, self-compassion, and attributions in older adolescents so that they can be used as theoretical support for related interventions, especially during and after times of crisis, such as a pandemic.

[Recognizing and managing side effects of tyrosine kinase inhibitors in chronic myeloid leukemia]. / Effets secondaires des inhibiteurs de tyrosine kinase dans la leucémie myéloïde chronique.

Tyrosine kinase inhibitors (TKI) have emerged as a paradigm-shifting therapeutic approach for the treatment of chronic myeloid leukemia (CML) following their regulatory approval in 2001. These agents have revolutionized the management of CML by significantly improving patient outcomes and enabling them to achieve near-normal life expectancies. Consequently, the utilization of TKI has become increasingly prevalent, accompanied by the recognition and management of their associated adverse effects. Given the expanding patient population receiving TKI therapy, it is imperative that hematologists, as well as general practitioners, assume the responsibility of closely and meticulously monitoring patients' treatment progress while effectively addressing the occurrence of any untoward effects.

Les inhibiteurs de tyrosine kinase (ITK) ont révolutionné la prise en charge de la leucémie myéloïde chronique (LMC) depuis leur autorisation de mise sur le marché en 2001, permettant aux patients d'obtenir une survie comparable à celle de la population générale. À ce jour, plusieurs générations d'ITK sont apparues, avec leurs effets secondaires respectifs. Leur prescription nécessite donc un suivi rapproché et pluridisciplinaire entre l'hématologue et l'interniste hospitalier, mais également le médecin généraliste, qui peut aussi être confronté à ces effets indésirables.