The Impact of Big Five Personality Traits on Older Europeans’ Physical Health

Investigating the role of Big Five personality traits in relation to various health outcomes has been extensively studied. The impact of “Big Five” on physical health is here explored for older Europeans with a focus on examining age groups differences. The study sample included 378,500 respondents derived from the seventh data wave of Survey of Health, Aging and Retirement in Europe (SHARE). The physical health status of older Europeans was estimated by constructing an index considering the combined effect of well-established health indicators such as the number of chronic diseases, mobility limitations, limitations with basic and instrumental activities of daily living, and self-perceived health. This index was used for an overall physical health assessment, for which the higher the score for an individual, the worst health level. Then, through a dichotomization process applied to the retrieved Principal Component Analysis scores, a two-group discrimination (good or bad health status) of SHARE participants was obtained as regards their physical health condition, allowing for further con-structing logistic regression models to assess the predictive significance of “Big Five” and their protective role for physical health. Results showed that neuroti-cism was the most significant predictor of physical health for all age groups un-der consideration, while extraversion, agreeableness and openness were not found to significantly affect the self-reported physical health levels of midlife adults aged 50 up to 64. Older adults aged 65 up to 79 were more prone to open-ness, whereas the oldest old individuals aged 80 up to 105 were mainly affected by openness and conscientiousness. .

Personality Trait Detection via Transfer Learning

Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their performance.This study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality recognition.These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies.This makes them suitable to classify multi-label personality traits from reviews while mitigating computational costs.The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts.Moreover,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook users.These status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality traits.To test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted averages.The results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of F1-score.The findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality recognition.These findings represent substantial advancements in personality recognition,making them appropriate for the development of user-centric applications.

Model considering panic emotion and personality traits for crowd evacuation

Panic is a common emotion when pedestrians are in danger during the actual evacuation, which can affect pedestrians a lot and may lead to fatalities as people are crushed or trampled. However, the systematic studies and quantitative analysis of evacuation panic, such as panic behaviors, panic evolution, and the stress responses of pedestrians with different personality traits to panic emotion are still rare. Here, combined with the theories of OCEAN(openness, conscientiousness,extroversion, agreeableness, neuroticism) model and SIS(susceptible, infected, susceptible) model, an extended cellular automata model is established by the floor field method in order to investigate the dynamics of panic emotion in the crowd and dynamics of pedestrians affected by emotion. In the model, pedestrians are divided into stable pedestrians and sensitive pedestrians according to their different personality traits in response to emotion, and their emotional state can be normal or panic. Besides, emotion contagion, emotion decay, and the influence of emotion on pedestrian movement decision-making are also considered. The simulation results show that evacuation efficiency will be reduced, for panic pedestrians may act maladaptive behaviors, thereby making the crowd more chaotic. The results further suggest that improving pedestrian psychological ability and raising the standard of management can effectively increase evacuation efficiency. And it is necessary to reduce the panic level of group as soon as possible at the beginning of evacuation. We hope this research could provide a new method to analyze crowd evacuation in panic situations.

An analysis of association of personality traits with job burnout among nurses working in hospital

Objective:The objective of the present study is to explore the effects of personality traits on job burnout among hospital nurses.Materials and Methods:This cross-sectional research was done during 2019-2020 at Kashan Shahid Beheshti Hospital.The data analysis procedures included descriptive statistics and the partial least squares-based structural equation modeling.The participants were 150 nursing professionals.A questionnaire indicating information on demographics,burnout(measured using the Maslach Burnout Inventory with three dimensions of depersonalization,emotional exhaustion,and personal accomplishment),and personality profile(measured employing the neuroticism extraversion openness five-factor inventory including extroversion,conscientiousness,agreeableness,neuroticism,and openness to experience dimensions)was used to gather the required data.Results:The results of the study showed that the validity and reliability of the measurement model were desirable(factor load higher than 0.5,the Cronbach’s alpha value and the composite reliability are>0.7).Structural model showed statistically drastic,negative relationship between the nurses’burnout levels and neuroticism(β=0.722)and openness to experience(β=0.437).However,the relationship was significantly positive between the nurses’burnout levels and conscientiousness(β=0.672),agreement(β=0.594),and extraversion(β=0.559)(P<0.03).Conclusions:The present study helped the recognition of burnout among nurses working in hospitals and approved the effects of personality features on the burnout experience.

Personality Traits, Thinking Styles, and Emotional Intelligence in Nursing, towards Healthcare Providers’ Characterization and Safer Patient Care

Background: This study explored nursing personality traits (Big Five Inventory BFI), emotional intelligence (EI), and thinking styles (Rational, RS, and Experiential, ES) together with demographic data to see how they could relate and the implication of this on nurses and patient safety. Design: A cross-sectional study. Methods: Nursing sample (n = 435). Participants completed a self-report online survey, which included demographic information, followed by questionnaires to measure personality traits, thinking styles, and emotional intelligence. Results: Spearman’s rank correlation was computed to assess the relationship between EI and Extraversion;there was a moderate positive correlation between the two variables, r = 0.487, p r = 0.731, p r = 0.723, p r = -0.666, p r = 0.467, p Conclusion: Different studies consolidated each other, and all converge and channel into the concept of characterization of healthcare providers for better support to them and safer patient care. EI correlated with all BFI components, and both positively impacted all desirable behaviors. Therefore, it would be valuable if organizations invested in increasing EI in their providers as it might highlight areas for improvement and equip providers with appropriate and advantageous coping strategies.

Understanding Nonverbal Communication Cues of Human Personality Traits in Human-Robot Interaction

With the increasing presence of robots in our daily life,there is a strong need and demand for the strategies to acquire a high quality interaction between robots and users by enabling robots to understand users’mood,intention,and other aspects.During human-human interaction,personality traits have an important influence on human behavior,decision,mood,and many others.Therefore,we propose an efficient computational framework to endow the robot with the capability of understanding the user’s personality traits based on the user’s nonverbal communication cues represented by three visual features including the head motion,gaze,and body motion energy,and three vocal features including voice pitch,voice energy,and mel-frequency cepstral coefficient(MFCC).We used the Pepper robot in this study as a communication robot to interact with each participant by asking questions,and meanwhile,the robot extracts the nonverbal features from each participant’s habitual behavior using its on-board sensors.On the other hand,each participant’s personality traits are evaluated with a questionnaire.We then train the ridge regression and linear support vector machine(SVM)classifiers using the nonverbal features and personality trait labels from a questionnaire and evaluate the performance of the classifiers.We have verified the validity of the proposed models that showed promising binary classification performance on recognizing each of the Big Five personality traits of the participants based on individual differences in nonverbal communication cues.

Personality traits and self-harm behaviors among Chinese children and adolescents: The mediating effect of psychological resilience

BACKGROUND Previous studies have shown that personality traits are associated with self-harm(SH)in adolescents.However,the role of resilience in this association remains unclear.Our research aims to explore the hypothesized mediation effect of resilience in the relationship between personality traits and SH in Chinese children and adolescents.AIM To evaluate resilience as a mediator of the association between personality traits and SH.METHODS A population-based cross-sectional survey involving 4471 children and adolescents in Yunnan province in southwestern China was carried out.Relevant data were collected by self-reporting questionnaires.Univariate and multivariate logistic regression models were employed to identify associated factors of SH.A path model was used to assess the mediation effect of resilience with respect to personality traits and SH association.RESULTS Among the 4471 subjects,1795 reported SH,with a prevalence of 40.1%(95%CI:34.4%-46.0%).All dimensions of personality traits were significantly associated with SH prevalence.Resilience significantly mediated the associations between three dimensions of personality(extroversion,neuroticism,psychoticism)and SH,accounting for 21.5%,4.53%,and 9.65%,respectively,of the total associations.Among all dimensions of resilience,only emotional regulation played a significant mediation role.CONCLUSION The results of the study suggest that improving emotion regulation ability might be effective in preventing personality-associated SH among Chinese children and adolescents.

Personality Traits and Self Regulation: A Comparative Study among Current, Relapse and Remitted Drug Abuse Patients

Objective: The current study aimed to investigate the relationship among personality traits and self regulation among different drug abuse cases. The three categories of drug abuse were based on phases of addiction namely current, relapse and remitted cases. Method: The sample consisted of 108 drug abusers taken from different rehabilitation centers of Rawalpindi and Islamabad. The selected drug abusers were at current (n = 40), relapsed (n = 42) and remission phase (n =2 7) of drug addiction;with an age range of 20 to 70 years. The data were collected from private rehabilitation centers of Rawalpindi and Islamabad. In this study, Eysenck Personality Questionnaire Revised EPQR-Short (Eysenck, Eysenck & Barrett, 1985) was used to measure personality traits of the drug abuse cases. Self Regulation Questionnaire (SRQ) developed by Miller and Brown (1991) was used to measure the self regulatory skills. The data were collected from rehabilitation centers. Before collection of data, formal permission was taken from the administration of these centers. Research protocol included an Ethical Proforma explaining rationale of study, ensuring confidentiality of the information to be used for research purpose only and also had personal consent form. In the first phase, pilot study was conducted to check the reliability of translated scale and availability of sample. A sample of 15 drug abusers was selected for pilot study. In the next step (main study);protocol was administered on current, relapsed and remitted cases through individual administration. For remitted cases, the researcher consulted authorities (administration head, and medical doctors) of centers and administered protocol on the days when these participants came for follow-up session. Results: The results of the study indicate strong correlation between self regulation and personality traits (r = 0.27**). Furthermore, most of the participants scored higher on Psychoticism (100%), Introversion (75%) while Neuroticism (58%) trait was found less among drug abuse cases. The study also indicates strong correlation between self regulation and Extraversion-Introversion personality trait (r = 0.20**) while other traits did not have significant correlations with self regulation. Furthermore, the descriptive frequencies reveal that most of the participants scored higher on Psychoticism (100%), Introversion (75%) while Neuroticism (58%) trait was found less among drug abuse cases. Conclusion: From the above mentioned findings, it is concluded that self regulation is associated with personality traits among drug abusers. The comparisons of personality traits and self regulatory skills among the different phases of addiction provide an insight into how these traits interact with self control to regulate impulsive and addictive behaviors.

Personality Traits, Medication Beliefs &Adherence to Medication among Diabetic Patients Attending the Diabetic Clinic in a Teaching Hospital in Southwest Nigeria

Background: Non-adherence to drug therapy is an important cause of treatment failure among patients with chronic conditions like diabetes. Previous researches have presented associations among personality traits, medication beliefs and adherence to long-term medication treatment in individuals with different chronic diseases. However, there is limited knowledge about associations among personality traits, medication belief and adherence to diabetic treatment in Africa. It was on this basis that this study was undertaken to assess the personality traits and personal beliefs of patients on medication for Diabetes Mellitus (DM) and to also assess adherence to treatment. Methodology: This study was a descriptive cross sectional study. Using a systematic random sampling technique, 223 patients attending the diabetic clinic of Lagos State University Teaching Hospital, Lagos were selected over a period of 12 weeks. Patients were interviewed using the Big Five-factor Personality Inventory, Medication Belief Questionnaire and the Medication Adherence Report Scale. Data were statistically analyzed using descriptive statistics, Student’s t-tests, Chi Square Tests and Pearson’s correlations analysis. Results: Non-adherence was estimated to be 40.8%. Non-adherent respondents had lower mean score of neuroticism personality traits compared to adherent respondents. Pearson’s correlation analysis showed a weak negative relationship between neuroticism personality trait and adherence behaviour (P < 0.05). There was also a statistically significant weak correlation (r = 0.1) between specific concern medication belief and adherence to medication among respondents in the study (P < 0.05). Conclusion: Personality traits of diabetic patients can influence their adherence to treatment. Patients with neuroticism personality trait and specific concern medication belief tend to be non-adherent to medication. Healthcare providers should therefore pay more attention to the personality traits and medication beliefs of patients in providing effective management for diabetic patients.

Personality Traits and Cognitive Determinants——An Empirical Investigation of the Use of Smartphone Security Measures

In the last years, increasing smartphones’ capabilities have caused a paradigm shift in the way of users’ view and using mobile devices. Although researchers have started to focus on behavioral models to explain and predict human behavior, there is limited empirical research about the influence of smartphone users’ individual differences on the usage of security measures. The aim of this study is to examine the influence of individual differences on cognitive determinants of behavioral intention to use security measures. Individual differences are measured by the Five-Factor Model;cognitive determinants of behavioral intention are adapted from the validated behavioral models theory of planned behavior and technology acceptance model. An explorative, quantitative survey of 435 smartphone users is served as data basis. The results suggest that multiple facets of smartphone user’s personalities significantly affect the cognitive determinants, which indicate the behavioral intention to use security measures. From these findings, practical and theoretical implications for companies, organizations, and researchers are derived and discussed.

Sub-Grouping Healthy Subjects’ Sensitivity to Pain and Its Relationship to Personality Traits: Results of a Cluster Analysis

Objective: Individual differences in the sensitivity to pain and the factors that may contribute to these differences are well studied. Nevertheless, there is no single test that can reliably classify subjects as being sensitive or insensitive to pain. Methods: In the present study, hierarchical clustering and K-means cluster analysis was used to identify subgroups among 191 healthy subjects (105 females, 86 males) according to their sensitivity to pain. Group determination was based on the subjects’ response to experimental noxious stimuli of heat (pain intensity), cold (cold pain threshold, tolerance, and intensity), and conditioned pain modulation (CPM, tested by co-administering repeated short painful heat stimuli and a conditioning tonic cold pain stimulation). In addition, in order to determine if the subjects in these subgroups differed on personality traits scores on Cloninger’s Tridimensional Personality Questionnaire (TPQ, outcome measure) for the three dimensions of personality: Novelty Seeking (NS);Harm Avoidance (HA);and Reward Dependence (RD) were calculated. Results: Based on pain scores, subjects were grouped as low pain (57%) with a low level of sensitivity in pain parameters, or high pain (43%) cluster members. The high pain had significant higher scores of HA (p = 0.05) and RD (p = 0.05) than the low pain group. Conclusions: This method of sub-grouping may be useful for identifying the mechanisms underlying individual variability in the sensitivity to pain and may point to groups at risk for experiencing high levels of clinical pain.

The Correlation between Synthetic Oxytocin Given during Labor and Women’s Personality Traits According to the SSP (Swedish University Scales of Personality) Survey: A Pilot Study

Background: In modern obstetric care, oxytocin is one of the most frequently used drugs, and the possible mental impact this drug has on women is very little studied. The objective of this study is to investigate whether women augmented with oxytocin during labor will rate their personality profile differently after childbirth than non-stimulated women. Methods: Prospective cohort study was performed at Women’s Clinic, Soder hospital, Stockholm.76 women received the SSP (Swedish University Scales of Personality) questionnaire to fill in during their stay in the post-maternity ward after labor. Information about the use of oxytocin was retrieved from the women’s medical records. Primary outcome: Differences in the SSP scores in the group augmented with synthetic oxytocin during labor compared with the non-augmented group. Results: Women with and without oxytocin estimates on the SSP subscale form differed regarding personality traits described as “lack of assertiveness” (p = 0.04), which means “lack of ability to speak up and to be self-assertive in social situations”. The result also showed that women that had a long time of augmentation with oxytocin (>5 h) scored higher for “social desirability” (p = 0.004), which was defined as being “socially adapted,” “friendly,” and “helpful”. A difference in “psychological anxiety” (p = 0.04) and “social desirability” (p = 0.004) was found among women who had oxytocin in a dose of at least 200 ImU/h for ≥1 hour. This group also had a lower rate of “mental anxiety” than those who received lower oxytocin doses. Conclusion: Synthetic oxytocin given during labor may affect the woman mentally. The total time and volume of given oxytocin seem to be essential factors when discussing augmentation’s maternal psychological response. We conclude that prolonged and extended use of synthetic oxytocin during labor should be avoided if possible.

An Analysis of Donald Trump's Political Personality Traits and Policy Orientations

As a political leader, US President Trump's personality traits affect his policy orientations and current US foreign policy. The authors analyze Trump's personality in several categories—uninhibited and capricious, dynamic and capable, profit-orientated and self-centered,competitive and persistent, positive and extraverted. The traits of breaking traditions, skill at strategic deception and negotiation, action-motivated implementation, intuitive decision-making, pursuit of respect and interest exchange, and vengefulness will shape his policy and behavioral orientations. Initial study shows Trump to be a political leader with positive personality traits and double-sided dimensions. The analysis offers insight toward understanding the new US executive and his policy direction.

Relationship of Smartphone Dependence to General Health Status and Personality Traits among University Students

We investigated associations between smartphone dependence and general health status or personality traits. To 197 medical university students, we administered a set of self-reporting questionnaires designed to evaluate these parameters. For males, smartphone dependence positively correlated with somatic symptoms, anxiety and insomnia, and emotional instability, and negatively correlated with agreeableness. For females, smartphone dependence positively correlated with somatic symptoms, severe depression, and extraversion, and negatively correlated with social dysfunction. These findings suggest that smartphone dependence may be associated with general health status or personality traits and that there may be a gender difference in these associations.

No More Excuses - Personality Traits and Academic Dishonesty in Online Courses

Academic dishonesty is a disturbing issue in higher education that has been worsening over the years, especially with the appearance of the internet and the e-learning education. This new technology exposes students to the opportunity of using online bank exams and term papers and increases their tendency to cheat. This study investigates student academic dishonesty in the context of traditional and distance-learning courses in higher education. Data from 1,365 students enrolled in academic institutes in the U.S.A and Israel were surveyed to assess their personality and their willingness to commit various acts of academic misconduct. The findings indicate that in both countries dishonest behaviors are greater in face-to-face courses than in online courses. In addition, both American and Israeli students identified with the personality trait of Agreeableness showed a negative correlation with academic dishonesty. Furthermore, Israeli students identified with the personality traits of Conscientiousness and Emotional Stability demonstrated a negative correlation with academic dishonesty. In contrast, the personality trait of Extraversion among American students was found in a positive correlation with academic misconduct. Implications for further research are discussed.

The Relationship Between Learners’Personality Traits and EFL Learning

In the process of foreign language learning, many factors interact to influence the learners’ learning achievement, including teaching, the learner, and the context, among which the individual difference attracted many researchers’ attention. They attempted to find out the relationship between these individual differences, especially personality traits and the learner’s foreign language learning achievements. However, the results and findings of the researches are sometimes contradictory and not always unquestionable. This research is designed for verifying the results of other studies and finding out the relationship between personality traits and EFL learning in the Chinese context, thereby making some contributions to the EFL teaching and learning. This thesis consists of five parts. The first part is a brief introduction to the research. In the second part, some theories on personality are surveyed first, and some researches are reviewed. Part Three presents the method of the research, including a description of the research methodology, subjects, and data-collecting procedures. Part Four reports the results and the data obtained in the research. In the last part, the results of the present research are compared with those of other researches, the implications and limitations of the research are discussed, and some suggestions for further studies are also put forward.

Assessment of Personality Traits of Physical Education Teachers

The purpose of this study is to examine the relationship between the personality traits of physical education teachers working in secondary schools in Istanbul. The research was conducted in accordance with screening model. The research group is formed by physical education teachers who are working in public and private secondary schools which are connected to the Ministry of National Education in Istanbul in 2012-2013 academic years. Among the participants, 36.8% is formed by female physical education teachers, and 63.2% is formed by male physical education teachers. PERI （personality inventory） short form is used. PERI is formed by five subcomponents： openness to experience, sense of responsibility, extroversion, coherence and emotional stability. Assessment instrument was applied to participants with the face-to-face technique by the researcher. Findings were obtained by using T Test, Kruskal-Wallis Test and Mann-Whitney U Test in the analysis of research data. Consequently, it is understood that physical education teachers had low scores on emotional stability personality traits and so they were not adequate. In openness to experience, extroversion, coherence and sense of responsibility subcomponents, it is understood that they had higher scores and they were adequate. Besides, there is no significant difference found between gender, school type and years of service variables and personality traits （P 〈 0.05）.

Ethical Ideologies, Personality Traits, and Whistleblowing Intention in Public Sector: Mediating Role of Whistleblowing Judgment

Whistleblowing decision by an individual employee has always been an interesting topic in the management of businesses and organizations. Whistleblowing can be an effective fraud detection mechanism if a person decided to whistleblow on the wrongdoings of other employees. In reality, however, individuals who are aware of unlawful activity of his or her peer group members would face a challenging dilemma if the company or organizations they are working with do not have a sound whistleblowing policy to ensure the confidentiality of whistleblower. Knowing the factors that could influence their whistleblowing judgement and intention would be an interesting topic to be studied. The present study attempts to discuss on factors which would influence whistleblowing intention on staffs from selected public sector organizations in Malaysia. These factors include three individual level factors of ethical ideology (idealism and relativism), personality traits (conscientiousness, openness to experience, extraversion, agreeableness, neuroticism), and whistleblowing judgment, all with regards to peer reporting. A theoretical model is developed in accordance to the issues discussed in this paper.

Probing the Relationship Between Language Learners＇ Personality Traits and Their Preferences for Six Category Intervention Analysis： A Focus on Introversion-Extroversion and Sensing-Intuitive Traits

The present paper investigates the relationship between Iranian intermediate level EFL （English as a Foreign Language） learners＇ personality traits and their preferences for Heron＇s Six Category Intervention Analysis （SCIA）. There were 134 Iranian male and female learners participating in this study. A SCIA questionnaire containing 30 items was developed and validated to assess EFL learners＇ preferences for intervention categories. Moreover, Myers-Briggs Type Indicator （MBTI） was used in the research. Results indicated that whereas in some cases no significant differences were observed, there mostly existed numerous significant differences among language learners with different personality traits and their preferences for SCIA.

The Impact of Personality Traits and Problem Structures on Management Decision-Making Outcomes

Since decision-making behavior has been in the focus both from a scientific and a professional position, there seems to be a dispute whether rational or intuitive decision making leads to better outcomes. By now, scholars have agreed that effective organizations do not have the luxury to choose between the ＂applications＂ of intuitive or rational decision making. Instead, they try to understand how different factors like personality traits and problem characteristics influence the decision-making process. Reviewing the literature reveals that personality pre-determination and the structure of problems （e.g., well-structured problems （WSPs） versus ill-structured problems （ISPs）） seem to have a significant impact on the decision-making efficiency. Further, the review also shows that there is a lack of application-oriented empirical studies in this area of research. Therefore, the aim of this research paper is to propose a framework for an empirical study on how personality traits and problem structure influence the decision-making process. First, hypotheses are derived from the literature on how personality pre-determination and behavioral patterns in the decision-making process lead to higher socioeconomic efficiency within certain problem categories. Second, a causal model and a setup for a laboratory experiment are proposed to allow testing the hypotheses. Finally, the conclusions provide an outlook on how this research could support organizations in their decision-making processes.