Relationship between anatomical characteristics and personality traits in Lipizzan horses.
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ABSTRACT:
SUBMITTER: Debeljak N
PROVIDER: S-EPMC9308772 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundOver the past 10 years, gamer profiles have been developed to understand the reason underlying players' intrinsic motivation. While the research undertaken has led to the creation of distinct models (e.g., BrainHex and Hexad typologies), there is a lack of studies on the prevalence of these profiles among a specific population and the association between the target population's profiles and their personality traits, gaming behavior, and sociodemographic characteristics.MethodsThus, the present study aimed to (a) establish the gamer profiles of French undergraduate law students, (b) examine the relationships between the participants' profiles and their personality traits, gaming behavior, and sociodemographic characteristics, with a view to the development of serious games specifically intended for this population. In total, 753 French undergraduate students participated in the study, completing an online questionnaire. Data were analyzed using Latent Profile Analysis (LPA), chi-square, and ANOVA.ResultsThe main findings show that among participants, the two most prevalent gamers' profiles are Mastermind (45%) and Seeker (22.7%); followed by three less represented archetypes: Conqueror (12.9%), Daredevil (9.7%), and Achiever (9.7%). These archetypes are associated with the participants' Big Five personality traits. Specifically, Daredevils, Masterminds, and Seekers have high mean scores on Extraversion (p < .001); Achievers and Seekers have high mean scores on Agreeableness (p < .001); Seekers and Achievers have high mean scores on Neuroticism (p < .001); and Seekers, Masterminds, and Achievers have high mean scores on Openness (p < .001). The unveiled profiles are also significantly associated with the participants' gaming behavior including their playing frequency (p < .001), game types (p = .031), and sociodemographic characteristics (p < .001). For example, Masterminds are more likely to be female than the other four profiles (p < .001), while Conquerors and Daredevils are more likely to have a low socio-economic status compared to those with intermediate and high socio-economic status (p = .49).ConclusionThese findings can be used to design serious/educational games tailored to the studied population.
| S-EPMC10515229 | biostudies-literature
Project description:The assumption in the personality and politics literature is that a person's personality motivates them to develop certain political attitudes later in life. This assumption is founded on the simple correlation between the two constructs and the observation that personality traits are genetically influenced and develop in infancy, whereas political preferences develop later in life. Work in psychology, behavioral genetics, and recently political science, however, has demonstrated that political preferences also develop in childhood and are equally influenced by genetic factors. These findings cast doubt on the assumed causal relationship between personality and politics. Here we test the causal relationship between personality traits and political attitudes using a direction of causation structural model on a genetically informative sample. The results suggest that personality traits do not cause people to develop political attitudes; rather, the correlation between the two is a function of an innate common underlying genetic factor.
| S-EPMC3809096 | biostudies-literature
Project description:BackgroundBased 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.MethodsA 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.ResultsClassification 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.ConclusionsResults 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.
| S-EPMC8739611 | biostudies-literature
Project description:Automatic imitation is a cornerstone of nonverbal communication that fosters rapport between interaction partners. Recent research has suggested that stable dimensions of personality are antecedents to automatic imitation, but the empirical evidence linking imitation with personality traits is restricted to a few studies with modest sample sizes. Additionally, atypical imitation has been documented in autism spectrum disorders and schizophrenia, but the mechanisms underpinning these behavioural profiles remain unclear. Using a larger sample than prior studies (N=243), the current study tested whether performance on a computer-based automatic imitation task could be predicted by personality traits associated with social behaviour (extraversion and agreeableness) and with disorders of social cognition (autistic-like and schizotypal traits). Further personality traits (narcissism and empathy) were assessed in a subsample of participants (N=57). Multiple regression analyses showed that personality measures did not predict automatic imitation. In addition, using a similar analytical approach to prior studies, no differences in imitation performance emerged when only the highest and lowest 20 participants on each trait variable were compared. These data weaken support for the view that stable personality traits are antecedents to automatic imitation and that neural mechanisms thought to support automatic imitation, such as the mirror neuron system, are dysfunctional in autism spectrum disorders or schizophrenia. In sum, the impact that personality variables have on automatic imitation is less universal than initial reports suggest.
| S-EPMC4469457 | biostudies-literature
Project description:BackgroundGeneral Self-efficacy is a key variable in clinical, educational, social, developmental, health and personality psychology that can affect the outcomes of people's lives. The present study aimed to investigate the relationship between family functions and personality traits with general self-efficacy among university students and the general population.MethodsTo conduct this two-part study, the first part was carried out on a sample of 500 students, and in the second part the study was repeated on a larger sample consisting of 1000 participants from the general population data were collected from the General Self-Efficacy Scale (GSE), Family Assessment Device (FAD), and the Revised NEO Personality Inventory (NEO PI-R). The analysis was performed using Pearson's correlation coefficient, Fisher's z test and regression analysis.ResultsThe results of the present study revealed that all the subscales of family functions and all personality traits are significantly related to general self-efficacy among university students and general population (p?<?0.001). But in the general population, there was no significant correlation between openness to experience with general self-efficacy) (p?>?0.05). Furthermore, the results of regression analysis showed subscales of family functions and all personality traits together can predict 27 and 35% of the variance in general self-efficacy among university students and the general population, respectively.ConclusionPersonality traits play a role in predicting general self-efficacy, but the personality trait of conscientiousness plays a greater role than other personality traits and also compared to family functioning, personality traits play a greater role in predicting general self-efficacy.
| S-EPMC7457252 | biostudies-literature
Project description:Background and objectivePersonality disorders are frequently associated with insomnia and depression, but little is known about the inter-relationships among these variables. Therefore, this study examined these inter-relationships and the possible mediating effect of insomnia on the association between specific personality pathologies and depression severity.MethodsThere were 138 study participants, including 69 individuals with depression and 69 healthy controls. The main variables were measured by the Hamilton Depression Rating Scale-24 (HAMD-24), Athens Sleep Insomnia Scale (AIS), and the Personality Diagnostic Questionnaire (PDQ-4+). Multivariate linear regression and mediation analysis were conducted.ResultsWith the exception of the antisocial personality score, all the PDQ-4+ scores and AIS scores were significantly higher in the depression group than in the healthy control group (p < 0.001). In the total sample, all personality pathology scores (p < 0.001), except the antisocial personality score, had significant positive correlations with the AIS scores and HAMD-24 scores, and the AIS scores and HAMD-24 scores were positively correlated (r = 0.620, p < 0.001). Regression analysis revealed that borderline personality, passive-aggressive personality, and insomnia positively predicted the severity of depression, after adjusting for sociodemographic covariates, and that insomnia partially mediated the associations of borderline personality and passive-aggressive personality with depression severity.ConclusionsBorderline personality, passive-aggressive personality, and insomnia tend to increase the severity of depression, and the effect of borderline and passive-aggressive personality on depression severity may be partially mediated by insomnia. This is the first study to report these findings in a Chinese sample, and they may help researchers to understand the pathways from specific personality pathologies to the psychopathology of depression better, which should be useful for designing interventions to relieve depression severity, as the impact of specific personality pathology and insomnia should be considered.
| S-EPMC8018246 | biostudies-literature
Project description:BackgroundThere are many empirical studies that demonstrate the associations between problematic internet use, psychopathological symptoms, and personality traits. However, complex models are scarce.ObjectiveThe aim of this study was to build and test a mediation model based on problematic internet use, psychopathological symptoms, and personality traits.MethodsData were collected from a medical addiction center (43 internet addicts) and internet cafés (222 customers) in Beijing (mean age 22.45, SD 4.96 years; 239/265, 90.2% males). Path analysis was applied to test the mediation models using structural equation modeling.ResultsBased on the preliminary analyses (correlations and linear regression), two different models were built. In the first model, low conscientiousness and depression had a direct significant influence on problematic internet use. The indirect effect of conscientiousness-via depression-was nonsignificant. Emotional stability only affected problematic internet use indirectly, via depressive symptoms. In the second model, low conscientiousness also had a direct influence on problematic internet use, whereas the indirect path via the Global Severity Index was again nonsignificant. Emotional stability impacted problematic internet use indirectly via the Global Severity Index, whereas it had no direct effect on it, as in the first model.ConclusionsPersonality traits (ie, conscientiousness as a protective factor and neuroticism as a risk factor) play a significant role in problematic internet use, both directly and indirectly (via distress level).
| S-EPMC6658222 | biostudies-literature
Project description:Individuals with certain personality traits employ adaptive coping strategies. Little research, however, has examined coping strategies among incarcerated individuals. A cross-sectional study was conducted among 465 males who served time in five different prisons in Poland. We examined the relationship between the Big Five personality dimensions and coping styles, and the results demonstrated that neuroticism predicts emotion-oriented coping whereas conscientiousness predicts task-oriented coping strategies. A better understanding of the role of personality traits and its relation to coping strategies may allow for more targeted and effective psychological interventions that will, in turn, improve inmates' abilities to cope with stress.
| S-EPMC6972873 | biostudies-literature
Project description:BackgroundWhile the role of attention-deficit/hyperactivity disorder (ADHD) as a risk factor for developing alcohol use disorder (AUD) has been established, the underlying pathways connecting the two are still not fully understood. Overlapping constructs such as impulsivity may explain the increased risk for developing AUD in individuals with ADHD.MethodsIn this study, we assessed whether adult ADHD symptoms increase the odds of having a diagnosis of AUD. Furthermore, we tested whether facets of impulsivity explained the relationship between ADHD symptoms and alcohol dependence (AD) severity.ResultsIn a logistic regression of 749 participants (464 = AD, 285 = controls), overall adult ADHD symptoms, and more specifically, symptoms of hyperactivity/restlessness and problems with self-concept, increased the odds of having a diagnosis of AD. Within the AD sample, we found that impulsivity mediated the relationship between adult ADHD symptoms and AD severity. In particular, negative and positive urgency meditated the relationship of overall adult ADHD symptoms, and symptoms of hyperactivity/restlessness and problems with self-concept with AD severity.ConclusionsThese results highlight the importance of looking at cohorts of ADHD symptoms and facets of impulsivity to assess the risk of developing AUD. They also suggest potential avenues for intervention strategies in individuals with preexisting adult ADHD symptoms who are seeking treatment for AUD.
| S-EPMC5750112 | biostudies-literature
Project description:Aromatase, an enzyme that converts androgens to estrogens, has been reported to be involved in several brain functions, including synaptic plasticity, neurogenesis, neuroprotection, and regulation of sexual and emotional behaviours in rodents, pathophysiology of Alzheimer's disease and autism spectrum disorders in humans. Aromatase has been reported to be involved in aggressive behaviours in genetically modified mice and in personality traits by genotyping studies on humans. However, no study has investigated the relationship between aromatase in living brains and personality traits including aggression. We performed a positron emission tomography (PET) study in 21 healthy subjects using 11C-cetrozole, which has high selectivity and affinity for aromatase. Before performing PET scans, subjects answered the Buss-Perry Aggression Questionnaire and Temperament and Character Inventory to measure their aggression and personality traits, respectively. A strong accumulation of 11C-cetrozole was detected in the thalamus, hypothalamus, amygdala, and medulla. Females showed associations between aromatase levels in subcortical regions, such as the amygdala and supraoptic nucleus of the hypothalamus, and personality traits such as aggression, novelty seeking, and self-transcendence. In contrast, males exhibited associations between aromatase levels in the cortices and harm avoidance, persistence, and self-transcendence. The association of aromatase levels in the thalamus with cooperativeness was common to both sexes. The present study suggests that there might exist associations between aromatase in the brain and personality traits. Some of these associations may differ between sexes, while others are likely common to both.
| S-EPMC6237866 | biostudies-other