Decision-Making and the Alternative Five Factor Personality Model: Exploring the Role of Personality Traits, Age, Sex and Social Position
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ABSTRACT:
SUBMITTER: Urieta P
PROVIDER: S-EPMC8578866 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The successful management of a childbirth emergency will be dependent on the decision-making of involved obstetricians and gynecologists. Individual differences in decision-making may be explained through personality traits. The objectives of the present study were (I) to describe personality trait levels of obstetricians and gynecologists and (II) to examine the relationship between obstetricians' and gynecologists' personality traits and decision-making styles (Individual, Team and Flow) in childbirth emergencies; also controlling for cognitive ability (ICAR-3), age, sex and years of clinical experience. Obstetricians and gynecologists, members of the Swedish Society for Obstetrics and Gynecology (N = 472) responded to an online questionnaire that included a simplified version of the Five Factor Model of personality (IPIP-NEO), and 15 questions concerning childbirth emergencies based on a model of decision-making styles (Individual, Team and Flow). The data was analyzed using Pearson's correlation analysis and multiple linear regression. Swedish obstetricians and gynecologists scored (P < 0.001) lower on Neuroticism (Cohen's d = - 1.09) and higher on Extraversion (d = 0.79), Agreeableness (d = 1.04) and Conscientiousness (d = 0.97) compared to the general population. The most important trait was Neuroticism, which correlated with the decision-making styles Individual (r = - 0.28) and Team (r = 0.15), while for example Openness only trivially correlated with Flow. Multiple linear regression showed that personality traits with covariates explained up to 18% of decision-making styles. Obstetricians and gynecologists have notably more distinct personality levels than the general population, and their personality traits relate to decision-making in childbirth emergencies. The assessment of medical errors in childbirth emergencies and prevention through individualized training should take account of these findings.
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Project description:BackgroundMicroglia, one of the glial cells, play important roles in various brain pathologies including psychiatric disorders. In addition, microglia have recently been proved to monitor synaptic reactions via direct-touching even in normal brain. Human microglia may modulate various social/mental functions, while microglial social/mental roles remain unresolved especially in healthy humans. There is no known drug with the specific effect of modulating microglia. Therefore, using minocycline, a tetracycline antibiotic and the most famous microglial inhibitor, is one of the best alternative approaches to clarify microglial functions on human social/mental activities.Methodology/principal findingsWe conducted a double-blind randomized trial of trust game, a monetary decision-making experiment, with ninety-nine human adult males who decided how much to trust an anonymous partner after a four-day administration of minocycline. Our previous pilot trial indicated a positive effect of minocycline, while the underlying mechanisms were not clarified. Therefore, in this trial with larger samples, we additionally measured the effects of anxiety and personality. The monetary score in trust game was significantly lower in the minocycline group. Interestingly, participants' ways of decision-making were significantly shifted; cooperativeness, one component of personality, proved to be the main modulating factor of decision-making in the placebo group, on the other hand, the minocycline group was mainly modulated by state anxiety and trustworthiness.Conclusions/significanceOur results suggest that minocycline led to more situation-oriented decision-making, possibly by suppressing the effects of personality traits, and furthermore that personality and social behaviors might be modulated by microglia. Early-life events may activate human microglia, establish a certain neuro-synaptic connection, and this formation may determine each human's personality and personality- oriented social behaviors in later life. To explore these mechanisms, further translational research is needed.Trial registrationUMIN clinical trial center UMIN000004803.
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Project description:Introduction: Despite its prominence in psychology, little is known about how personality traits play a role in the stress experiences of surrogate decision-makers. We tested the hypothesis that intrinsic traits (personality and decision-making styles) would be related to surrogates' stress in order to learn whether screening or tailoring interventions based on personality traits could help support surrogate decision-makers. Methods: This pre-specified secondary analysis evaluated data from an interventional study with dyads of patients with advanced chronic illness and their spokespersons. Measures included stress after decision-making or patient death (Impact of Events-Revised), personality (Big Five Index; BFI) and decision-making style (maximization and regret scales). Multivariate linear regressions explored the impact of personality on the stress experience; linear regressions independently modeled the impact of maximization and regret on the stress experience. Results: Of 38 spokespersons, 89.5% were women, 97.4% non-Hispanic, and 29.0% had a college degree or higher. In univariate analyses, total stress was correlated with neuroticism (r = .56, P < .01), higher scores on the regret (r = .55, P < .01) and maximization (r = .48, P < .05). In adjusted models, BFI was significantly associated with total stress (R2 = 27.08, P = .02). However, only neuroticism was independently associated with total stress. Conclusions: Personality traits, particularly neuroticism, and decision-making styles predicted heightened stress in spokespersons of patients with advanced chronic illness. If ACP interventions are intended to reduce spokesperson stress, personality and decision-making style scales may help identify spokespersons most likely to benefit from ACP interventions.
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Project description:The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) recognizes a developmental perspective on personality pathology owing to its proposal to conceptualize personality pathology in terms of maladaptive personality traits. Previous research has found that the DSM-5 maladaptive traits and the five-factor model (FFM) for normative personality traits share common underlying dimensions. Although the DSM-5 generally assumes DSM-5 traits to be extreme versions of FFM traits, empirical evidence is scarce in adolescents. The present study therefore extended previous studies by comparing the Personality Inventory for DSM-5 and the Big Five Inventory-2 (BFI-2) in an adolescent sample (n = 353), using item response theory. Results indicated an underlying dimension for all domain pairs except for FFM Openness and Psychoticism. Consistent with the general assumption, IRT results demonstrated that Personality Inventory for DSM-5 scales generally provided more information than the BFI-2 scales at the upper levels of the latent dimension. The BFI-2 scales provided more information at the lower levels. For FFM Conscientiousness and Disinhibition, however, the BFI-2 scale provided more information for almost the entire range of the latent dimension. The findings indicate similarities in the DSM-5 conceptualization of personality pathology between adults and adolescents and at the same time identify important differences that need to be considered. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Project description:Core self-evaluation (CSE) is a theory that includes four personality dimensions: self-esteem, self-efficacy, locus of control and emotional stability. CSE proved to be a significant predictor of the research on cognitive, emotional and behavioral responses across various situations in the workplace. The aim of this study was to examine the relationship between personality traits of the core self-evaluation and clinical decision-making in nurses' profession. A cross-sectional design was applied. Data was collected with standardized instruments: Core Self-Evaluation Scale and Clinical Decision-Making Nurses Scale, 584 nurses have participated in the study. Correlation and hierarchical regression analysis were used to test the relations and prediction of variables. The findings of the study revealed that there is a significant positive relationship between overall core self-evaluation and nurses' clinical decision-making, and there is a significant contribution of self-esteem, self-efficacy and locus of control on all dimensions of clinical decision, especially in the area of canvassing of objectives and values. Nurses with high CSE have positive self-views and tend to be confident in their ability and they also feel in control while performing nursing interventions, whereas those with low CSE tend to have fewer accessible positive resources and are more prone to risk aversion.
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Project description:Many situations require decisions to be made in very little time-in emergency or accident situations such decisions will carry potentially harmful consequences. Can we predict how people react in such situations from their personality traits alone? Since experimental tests of accident situations are not possible in the real world, existing studies usually employ text-based surveys or post-situation assessments, making predictions and generalization difficult. In the present study, we used virtual reality to create a more life-like situation in order to study decision-making under controlled circumstances. In our experiment, participants trained in an immersive car simulation to complete a race-course as fast as possible. In the testing phase, pedestrians appeared on the course without warning, forcing participants to react. The experiment used a one-shot design to avoid pre-meditation and to test naïve, rapid decision-making. Participants' reactions could be classified into two categories: people who tried to brake, and people who potentially endangered pedestrians by not braking or conducting hazardous evasion maneuvers. Importantly, this latter group of participants scored significantly higher on psychopathy-related traits among a set of personality-related factors. Additional personality factors, as well as age, gender, gaming expertise, and driving experience did not significantly influence participants' decision-making. This result was true for both a Korean sample (N = 94) and an independently-tested German sample (N = 94), indicating cross-cultural stability of the results. Overall, our results demonstrate that decision-making in an extreme, simulated accident situation is critically influenced by personality traits.
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Project description:Optimal treatment for localized prostate cancer (LPC) is controversial. We assessed the effects of personality, specialists seen, and involvement of spouse, family, or friends on treatment decision/decision-making qualities.We surveyed a population-based sample of men ≤ 75 years with newly diagnosed LPC about treatment choice, reasons for the choice, decision-making difficulty, satisfaction, and regret.Of 160 men (71 black, 89 white), with a mean age of 61 (±7.3) years, 59% chose surgery, 31% chose radiation, and 10% chose active surveillance (AS)/watchful waiting (WW). Adjusting for age, race, comorbidity, tumor risk level, and treatment status, men who consulted friends during decision-making were more likely to choose curative treatment (radiation or surgery) than WW/AS (OR = 11.1, p < 0.01; 8.7, p < 0.01). Men who saw a radiation oncologist in addition to a urologist were more likely to choose radiation than surgery (OR = 6.0, p = 0.04). Men who consulted family or friends (OR = 2.6, p < 0.01; 3.7, p < 0.01) experienced greater decision-making difficulty. No personality traits (pessimism, optimism, or faith) were associated with treatment choice/decision-making quality measures.In addition to specialist seen, consulting friends increased men's likelihood of choosing curative treatment. Consulting family or friends increased decision-making difficulty.
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Project description:Psychiatric disorders are ubiquitously characterized by debilitating social impairments. These difficulties are thought to emerge from aberrant social inference. In order to elucidate the underlying computational mechanisms, patients diagnosed with major depressive disorder (N = 29), schizophrenia (N = 31), and borderline personality disorder (N = 31) as well as healthy controls (N = 34) performed a probabilistic reward learning task in which participants could learn from social and non-social information. Patients with schizophrenia and borderline personality disorder performed more poorly on the task than healthy controls and patients with major depressive disorder. Broken down by domain, borderline personality disorder patients performed better in the social compared to the non-social domain. In contrast, controls and major depressive disorder patients showed the opposite pattern and schizophrenia patients showed no difference between domains. In effect, borderline personality disorder patients gave up a possible overall performance advantage by concentrating their learning in the social at the expense of the non-social domain. We used computational modeling to assess learning and decision-making parameters estimated for each participant from their behavior. This enabled additional insights into the underlying learning and decision-making mechanisms. Patients with borderline personality disorder showed slower learning from social and non-social information and an exaggerated sensitivity to changes in environmental volatility, both in the non-social and the social domain, but more so in the latter. Regarding decision-making the modeling revealed that compared to controls and major depression patients, patients with borderline personality disorder and schizophrenia showed a stronger reliance on social relative to non-social information when making choices. Depressed patients did not differ significantly from controls in this respect. Overall, our results are consistent with the notion of a general interpersonal hypersensitivity in borderline personality disorder and schizophrenia based on a shared computational mechanism characterized by an over-reliance on beliefs about others in making decisions and by an exaggerated need to make sense of others during learning specifically in borderline personality disorder.
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Project description:Introduction Openness, conscientiousness, extroversion, agreeableness and neuroticism are known as the Big Five personality traits (BFPT). They are theoretical building blocks of the personality and comprise wide and interconnected spectra. Artificial intelligence (AI) could help to grasp their complexity. Objectives To investigate whether AI could predict the BFPT from themselves. Methods Data from 2,697 questionnaires were analysed using an AI. The short form of the International Personality Item Pool was used to assess the BFPT. Four of the BFPT scores were employed to predict the fifth one and the procedure was repeated for all of them alternatively. The AI was conservatively tuned to maximize the one-way random intraclass correlation coefficient (ICC) between predicted and real values. Their Pearson’s r was calculated too. The free and open source programming language R was used for all the analyses. Dataset source: Hansson, Isabelle; Berg, Anne Ingeborg; Thorvaldsson, Valgeir (2018), “Can personality predict longitudinal study attrition? Evidence from a population-based sample of older adults”, Mendeley Data, V1, doi: 10.17632/g3jx8zt2t9.1 Results Openness, conscientiousness, extroversion, agreeableness and neuroticism predictions obtained ICC of 0.219, 0.146, 0.306, 0.354, 0.121 and Pearson’s r of 0.254, 0.149, 0.393, 0.446, 0.122 respectively. The results for extroversion and agreeableness were indicative of fair performance. Conclusions AI might be useful to predict personality traits, mainly extroversion and agreeableness. This could be utile in many situations, such as dealing with missing data or deciding whether to formally test someone. Finally, the AI used in this study is freely available, allowing anyone to experiment.
| S-EPMC9475767 | biostudies-literature