Combination Of Personality Traits Research Articles

Personality profiles and exercise behaviour across adulthood

AbstractPersonality has constituted a significant psychological component predicting physical exercise. Prior research mostly focused on how personality domains are associated with exercise behaviour. Yet, focusing more closely on combinations of personality domains may be valuable in the future. The present cross‐sectional study aimed to bridge this gap by investigating the associations between Big Five personality profiles and exercise behaviour based on a person‐centred approach in adults. Data from the China Family Panel Studies (CFPS) were used (N = 28,304), in which participants reported their Big Five personality and exercise behaviour. Latent profile analyses, grounded in young adulthood, middle adulthood, and later adulthood sub‐samples, identified five personality profiles: moderate, reserved, confident, resilient, and vulnerable. Across three age groups, significant differences between the five personality profiles in relation to exercise behaviour were revealed. Individuals with the resilient or confident profiles generally had longer exercise duration while people with the vulnerable profile tended to exercise less. Our findings give greater insight into the relationship between exercise and personality, suggesting that different combinations of personality traits may determine individuals' exercise behaviour. It opens promising avenues for identification of adults at risk of lacking exercise, and for development of personality‐targeted exercise interventions.

Religion, personality traits and the nature of entrepreneurial activities: insights from Scottish Muslim entrepreneurs

PurposePrevious studies have shown how the nature of businesses and the strategies pursued by their owners are affected by the personality traits of their owners. These personality traits can be formed in the early stages of life due to experiences and the surrounding context, where religion is a particularly important aspect of this context. This study aims to explore how religion affects entrepreneurial activities through the personality traits created.Design/methodology/approachThis study uses interviews with 43 Muslim entrepreneurs in Scotland to examine the role played by religion. This ensures that the national institutional context is kept consistent but also allows an in-depth examination of relationships, which are likely to be interlinked and recursive.FindingsThe traits created influence the nature of the entrepreneurial activities undertaken with the potential to harm and support the entrepreneurial endeavours. It is the combination of personality traits that are formed which have the greatest effect. As such, it is found that Muslim entrepreneurs display less openness and creativity associated with new ideas, but this does not reflect risk aversion rather hard work in itself is valued, and patience combined with an external locus of control mean entrepreneurial behaviours are not altered to boost poorly performing business activities.Originality/valueFor Muslim entrepreneurs in Scotland, their traits explain why growth may not be a foremost consideration of these entrepreneurs rather they may value hard work and meeting the ideals of formal and informal institutions associated with religion. For those seeking to support minority groups through the promotion of entrepreneurship, either they must seek to overcome these ingrained traits or alter support to complement the different objectives held by Muslim entrepreneurs.

Factors Influencing Job Performance among Academic Staff in Malaysian Public University

Extensive research has been conducted on the factors that determine job performance. The current study was required by a lack of research relating to the factors of job performance among academic staff in Malaysian public universities. The purpose of this study is to investigate the effects of personality traits, motivation, leadership style, and learner autonomy on job performance. Data was collected from the academic staff of a public university in Malaysia. The probability technique, which is simple random sampling was used in this study. The study is guided by an adapted ten-point Likert Interval Scale structured questionnaire as the main instrument used in collecting the data. Furthermore, the analysis of data was undertaken by using Confirmatory Factor Analysis (CFA) procedures. Structural equation modeling (SEM), a multivariate approach, was used to empirically evaluate and estimate the hypothesized link between constructs using Analysis of Moment Structure (AMOS) software version 20.0. The findings indicate that job performance is significantly and positively related to personality traits, motivation, leadership style, and learner autonomy. Motivation is a significant predictor of job performance when compared to other variables. The study proves that the combination of personality traits, motivation, learner autonomy, and leadership style on job performance may contribute to the optimal service delivery to stakeholders within Malaysia's educational system. Therefore, the implications of the findings, potential limitations, and directions for future research are also discussed

Personality and Nomophobia: The Role of Dysfunctional Obsessive Beliefs

The development of new technologies (ICTs), and specifically the invention of smartphones, has offered users enormous benefits. However, the use of this technology is sometimes problematic and can negatively affect people's lives. Nomophobia has been defined as the fear of being unreachable by means of a smartphone and is considered a disorder of the modern world. The present study aims to provide additional evidence of the relationship between personality traits and nomophobia. Moreover, this research explores dysfunctional obsessive beliefs as another possible antecedent. Finally, this study also examines the effect of the combination of these antecedents on nomophobia. The study sample was comprised of Spanish workers (males: 44.54%; females: 55.46%) in the city of Tarragona and its surroundings. Our results showed that nomophobia is directly related to personality traits such as extraversion, and that dysfunctional obsessive beliefs play a role in the development of nomophobia. Moreover, our study confirms that the combination of personality traits and dysfunctional obsessive beliefs can affect the degree of nomophobia experienced. Our study contributes to the body of literature that examines how psychological variables of personality can be predictors of nomophobia. Additional research is needed to better understand the determinants of nomophobia.

Influence of students' personality, gender, income and age on their intentions to create new information technology and telecommunications ventures.

Businesses associated with information technology and telecommunications have increased in importance since the start of the COVID-19 pandemic due to transformations in working and buying. Currently, universities in Latin America are making efforts to strengthen entrepreneurial attitudes and skills in their students. In this context, it is of interest to understand how the combination of personality traits, gender, income and age/generation affect entrepreneurial intentions toward these kinds of businesses. This research analyzes the responses of 788 university students from Chile and Ecuador to an online self-report survey using regression models with the aim of evaluating the effect of Big Five personality traits on the intention to undertake information technology and telecommunications businesses and measuring the moderation of gender, family income, and belonging to the centennial generation. The findings support a significant influence of the traits of neuroticism, openness and conscientiousness on entrepreneurial intention and suggest that female gender and higher family income have a negative impact on the intention to undertake these businesses. Moreover, an important moderating effect of female gender and lower family income levels is supported. This study sheds new light on students' characteristics that affect their participation in information technology and telecommunications ventures through the identification of a unique combination of relevant personality traits, gender and income levels. The findings are useful for designing and developing appropriate programs aimed at developing this kind of technology business in Latin America as well as promoting the entrepreneurship of groups that express a lower intention to undertake businesses, such as female students.

Association between the Big Five personality traits and medication adherence in patients with cardiovascular disease: A cross-sectional study.

The correlation between personality traits and health outcomes of primary prevention has been examined. However, there is a lack of evidence on the association between the assessment of personality traits and medication adherence for secondary prevention of cardiovascular disease. Thus, this study aimed to explore the association between personality traits and medication adherence, including compliance to prescribed medications and attitudes toward taking medications among patients with cardiovascular disease. This cross-sectional study included patients hospitalized for cardiovascular disease. We assessed the Big Five personality traits (conscientiousness, neuroticism, openness, extraversion, and agreeableness) of each patient at discharge using the Ten-Item Personality Inventory. In addition, we evaluated four aspects of medication adherence using a 12-item version of the medication adherence scale: medication compliance, collaboration with health care providers, willingness to access and use information on medication, and acceptance to take medication. Logistic regression analysis was performed to assess the correlation between the level of each medication adherence domain and each personality trait. The data of 128 patients with cardiovascular disease were analyzed. Higher conscientiousness score was significantly associated with a high compliance score (odds ratio per 1 point increase, 1.90; 95% confidence interval, 1.30-2.79; p = 0.001), high collaboration score (1.90; 1.31-2.76; p = 0.001), and high willingness score (1.74; 1.19-2.54; p = 0.004) after adjustment for potential confounders. Other combinations of personality traits and medication adherence showed no statistically significant correlations in multivariate analyses. The findings of this study suggest that assessment of personality traits, especially conscientiousness, may facilitate patient-medical staff communication for the improvement of medication adherence in patients with cardiovascular disease.

An effective recommender system based on personality traits, demographics and behavior of customers in time context

PurposeImproving the performance of recommender systems (RSs) has always been a major challenge in the area of e-commerce because the systems face issues such as cold start, sparsity, scalability and interest drift that affect their performance. Despite the efforts made to solve these problems, there is still no RS that can solve or reduce all the problems simultaneously. Therefore, the purpose of this study is to provide an effective and comprehensive RS to solve or reduce all of the above issues, which uses a combination of basic customer information as well as big data techniques.Design/methodology/approachThe most important steps in the proposed RS are: (1) collecting demographic and behavioral data of customers from an e-clothing store; (2) assessing customer personality traits; (3) creating a new user-item matrix based on customer/user interest; (4) calculating the similarity between customers with efficient k-nearest neighbor (EKNN) algorithm based on locality-sensitive hashing (LSH) approach and (5) defining a new similarity function based on a combination of personality traits, demographic characteristics and time-based purchasing behavior that are the key incentives for customers' purchases.FindingsThe proposed method was compared with different baselines (matrix factorization and ensemble). The results showed that the proposed method in terms of all evaluation measures led to a significant improvement in traditional collaborative filtering (CF) performance, and with a significant difference (more than 40%), performed better than all baselines. According to the results, we find that our proposed method, which uses a combination of personality information and demographics, as well as tracking the recent interests and needs of the customer with the LSH approach, helps to improve the effectiveness of the recommendations more than the baselines. This is due to the fact that this method, which uses the above information in conjunction with the LSH technique, is more effective and more accurate in solving problems of cold start, scalability, sparsity and interest drift.Research limitations/implicationsThe research data were limited to only one e-clothing store.Practical implicationsIn order to achieve an accurate and real-time RS in e-commerce, it is essential to use a combination of customer information with efficient techniques. In this regard, according to the results of the research, the use of personality traits and demographic characteristics lead to a more accurate knowledge of customers' interests and thus better identification of similar customers. Therefore, this information should be considered as a solution to reduce the problems of cold start and sparsity. Also, a better judgment can be made about customers' interests by considering their recent purchases; therefore, in order to solve the problems of interest drifts, different weights should be assigned to purchases and launch time of products/items at different times (the more recent, the more weight). Finally, the LSH technique is used to increase the RS scalability in e-commerce. In total, a combination of personality traits, demographics and customer purchasing behavior over time with the LSH technique should be used to achieve an ideal RS. Using the RS proposed in this research, it is possible to create a comfortable and enjoyable shopping experience for customers by providing real-time recommendations that match customers' preferences and can result in an increase in the profitability of e-shops.Originality/valueIn this study, by considering a combination of personality traits, demographic characteristics and time-based purchasing behavior of customers along with the LSH technique, we were able for the first time to simultaneously solve the basic problems of CF, namely cold start, scalability, sparsity and interest drift, which led to a decrease in significant errors of recommendations and an increase in the accuracy of CF. The average errors of the recommendations provided to users based on the proposed model is only about 13%, and the accuracy and compliance of these recommendations with the interests of customers is about 92%. In addition, a 40% difference between the accuracy of the proposed method and the traditional CF method has been observed. This level of accuracy in RSs is very significant and special, which is certainly welcomed by e-business owners. This is also a new scientific finding that is very useful for programmers, users and researchers. In general, the main contributions of this research are: 1) proposing an accurate RS using personality traits, demographic characteristics and time-based purchasing behavior; 2) proposing an effective and comprehensive RS for a “clothing” online store; 3) improving the RS performance by solving the cold start issue using personality traits and demographic characteristics; 4) improving the scalability issue in RS through efficient k-nearest neighbors; 5) Mitigating the sparsity issue by using personality traits and demographic characteristics and also by densifying the user-item matrix and 6) improving the RS accuracy by solving the interest drift issue through developing a time-based user-item matrix.

The bottleneck of intrapreneurship: are social positions and held expectations constraints in organizations’ entrepreneur process? A conceptual view

Purpose This study aims to develop conceptual arguments about intrapreneurship relative to role theory. Design/methodology/approach The challenge to the intrapreneurship concept is that no single or combination of personality traits, individual characteristics or attitudes can fulfill the causes of the phenomenon, as these factors are context-bound. One explanation for individual- and macro-level contrasting outcomes is the diverging effect of expectations. The structural and interactionist perspective of sociology is used to understand the intrapreneurship concept because intrapreneurs live within a society and shape their course per the expectations of others. Findings Intrapreneurs have been trying to infer about what is seen as crucial individually related to interactions within the existing context; more importantly, acting in an intrapreneurship role can be defined and learned by expectations. Practical implications With the convenient expectations from other members, families or environments, organization members will value the innovation and self-direction of intrapreneurship more highly that such a taste for an acting role may be an important factor in the decision to become an intrapreneur. Originality/value To the best of the authors’ knowledge, the paper emphasized for the first time that the consequences of exposure to social expectations for the development of intrapreneur roles, particularly the broad portfolios of skills and motivation, are relevant to intrapreneurship. Previous approaches depend on individuals, organizations or the environment to have different approaches to likely employees to be intrapreneurs. The paper first argues that context is important for understanding how and why context can be linked to individual intrapreneurs and how intrapreneurship can be defined as roles rather than a task or unique potential entrepreneurs.

Being Smart Is Not Enough: Personality Traits and Vocational Interests Incrementally Predict Intention, Status and Success of Leaders and Entrepreneurs Beyond Cognitive Ability.

Three separate studies demonstrate that socio-emotional skills add incremental validity beyond cognitive ability when predicting leadership and entrepreneurship intention, emergence as well as success. Study 1 uses a longitudinal approach and tests the cognitive ability and vocational interests of 231 students to predict their leadership and entrepreneurship intention. It demonstrates that cognitive ability predicts their intention to become a business leader or entrepreneur 2 years in the future. Importantly, the vocational interests “enterprising” and “social” increase this ability-driven prediction of leadership and entrepreneurship intention (ΔR2Lead.Intent. = 15%, ΔR2Entre.Intent. = 9%). Study 2 investigates 123 business leaders and shows that those with higher cognitive ability more likely emerge as top-level leaders, receive more income and get slightly better supervisor-ratings on their performance. The leaders’ Big Five traits (openness, conscientiousness, extraversion, agreeableness, emotional stability) added validity beyond cognitive ability when predicting these criteria (ΔR2Income = 9%, ΔR2Lead.Level = 8%, ΔR2Perform. = 15%). Finally, Study 3 includes 155 participants and demonstrates that cognitive ability predicts a person’s entrepreneurial status but not performance. Additionally, considering the Big Five traits improves the prediction of who becomes an entrepreneur and successfully performs as such (ΔR2Status = 7%, ΔR2Perform. = 18%). Importantly, selected Big Five traits and vocational interests boost the importance of cognitive ability in the field of leadership and entrepreneurship. Concluding, this series of studies suggests that it is the combination of personality traits or interests with cognitive ability which is most powerful when predicting leadership and entrepreneurship intention, emergence and success.

Amyloid and Tau Pathology Associations With Personality Traits, Neuropsychiatric Symptoms, and Cognitive Lifestyle in the Preclinical Phases of Sporadic and Autosomal Dominant Alzheimer’s Disease

BackgroundMajor prevention trials for Alzheimer’s disease (AD) are now focusing on multidomain lifestyle interventions. However, the exact combination of behavioral factors related to AD pathology remains unclear. In 2 cohorts of cognitively unimpaired individuals at risk of AD, we examined which combinations of personality traits, neuropsychiatric symptoms, and cognitive lifestyle (years of education or lifetime cognitive activity) related to the pathological hallmarks of AD, amyloid-β, and tau deposits. MethodsA total of 115 older adults with a parental or multiple-sibling family history of sporadic AD (PREVENT-AD [PRe-symptomatic EValuation of Experimental or Novel Treatments for AD] cohort) underwent amyloid and tau positron emission tomography and answered several questionnaires related to behavioral attributes. Separately, we studied 117 mutation carriers from the DIAN (Dominant Inherited Alzheimer Network) study group cohort with amyloid positron emission tomography and behavioral data. Using partial least squares analysis, we identified latent variables relating amyloid or tau pathology with combinations of personality traits, neuropsychiatric symptoms, and cognitive lifestyle. ResultsIn PREVENT-AD, lower neuroticism, neuropsychiatric burden, and higher education were associated with less amyloid deposition (p = .014). Lower neuroticism and neuropsychiatric features, along with higher measures of openness and extraversion, were related to less tau deposition (p = .006). In DIAN, lower neuropsychiatric burden and higher education were also associated with less amyloid (p = .005). The combination of these factors accounted for up to 14% of AD pathology. ConclusionsIn the preclinical phase of both sporadic and autosomal dominant AD, multiple behavioral features were associated with AD pathology. These results may suggest potential pathways by which multidomain interventions might help delay AD onset or progression.

The Role of Personality Profiles in the Longitudinal Relationship between Work–Related Well–Being and Life Satisfaction among Working Adults in Switzerland

Drawing on the concept of spillover between work and life domains and using a person–centred approach, the present study examined the role of Big Five personality trait profiles in moderating the relationship between work–related well–being and life satisfaction over a 1–year period in a sample of working adults in Switzerland ( N = 1204). Latent profile analysis was first carried out to derive and compare alternative latent personality profile models. Subsequently, a two–wave cross–lagged structural equation model using three personality profiles (resilient, average, and oversensitive) as moderators was tested. Work stress and job satisfaction were used as negative and positive indicators of work–related well–being. The results showed that in the overall sample, only Time 1 life satisfaction predicted Time 2 job satisfaction. We found a moderating role for the personality profiles, where the effect of Time 1 work stress on Time 2 life satisfaction became salient in the oversensitive profile, while a significant effect of Time 1 life satisfaction on Time 2 work stress was found in the resilient profile. The current study showed that different combinations of personality traits may determine the way in which work–related well–being and general well–being relate to each other. © 2019 European Association of Personality Psychology

Personality traits are differently associated with depression and anxiety: Evidence from applying bivariate multiple binary logistic regression on a large sample of general adults.

The purpose of this study was to explore the association of five factors personality traits, as predictor variables, with the anxiety and depression as joint dependent variables in an Iranian adult population. A total of 3175 subjects living in Isfahan participated in this cross-sectional population-based study (SEPAHAN) and completed self-administered questionnaires about demographic, life style, gastrointestinal disorders, personality traits, social support, and psychological problems. Data was analyzed using bivariate multiple binary logistic regression in R Free statistical software. The results indicated high scores of neuroticisms increase the risk of anxiety and depression after adjustment for the potential confounders in total sample (OR (95% CI): 1.22 (1.19-1.24) and 1.19 (1.17-1.21), respectively) as well as in both male and female. In contrast, joint inverse associations were found between anxiety and depression with high extraversion (OR (95% CI): 0.90 (0.88-0.92) and 0.91 (0.89-0.92), respectively), agreeableness (0.93 (0.91-0.96) and 0.94 (0.92-0.96) respectively) and conscientiousness scores (0.95 (0.93-0.97) and 0.95 (0.94-0.97) respectively) as well as in both male and female. Furthermore, higher scores of openness had significant inverse association with depression in male. The present study indicated that higher scores of neuroticism, however lower extraversion, conscientiousness and agreeableness scores are risk factors for both anxiety and depression in Iranian adult population. It is suggested to perform family studies or twin and genetic association studies with considering combinations of personality traits (personality styles), and also measuring personality traits at the facet level.

Temperament and character profiles of medical students associated with tolerance of ambiguity and perfectionism.

BackgroundCertain personal attributes, such as perfectionism and tolerance of ambiguity, have been identified as influential in high achieving students. Medical students have been identified as high achievers and perfectionistic, and as such may be challenged by ambiguity. Medical students undertake a long and challenging degree. Personality has been shown to influence the well-being and coping and may equip some students to better cope with challenges. This paper examines the association between temperament and character personality profiles with measures of tolerance of ambiguity and with both adaptive and maladaptive constructs of perfectionism.MethodsA self-report questionnaire collected data on a sample of 808 Australian medical students in 2014 and 2015. Personality was measured using the Temperament and Character Inventory (TCIR-140) and classified traits as profiles using a latent class analysis. Two profiles were found. Profile 1 was characterized by low-average levels of Harm Avoidance, and high to very high levels of Persistence, Self-Directedness and Cooperativeness. Moderately-high levels of Harm Avoidance and high levels of Persistence, Self-Directedness and Cooperativeness characterized Profile 2. Moderation regression analyses were conducted to examine the association between the personality profiles with levels of Tolerance of Ambiguity (MSAT-II), Perfectionism-Concern over Mistakes and Perfectionism-High Standards (FMPS), considering demographic characteristics.ResultsStudents with Profile 1 were higher in levels of Tolerance of Ambiguity, and Perfectionism-High Standards, and lower levels of Perfectionism-Concern over Mistakes compared to Profile 2. These findings remained statistically significant after adjusting for age and gender. A significant personality by age interaction on Tolerance of Ambiguity was found. While higher levels of Tolerance of Ambiguity were associated with older age overall, it remained low across age for students with a personality Profile 2.ConclusionsA particular combination of personality traits was identified to be associated with low Tolerance of Ambiguity and high levels of maladaptive Perfectionism. An intolerance of ambiguity and over concern about mistakes may be maladaptive and underlie vulnerability to stress and poor coping. The psychobiological model of personality provides insight into traits that are stable and those that can be self-regulated through education and training. The interaction between biological mechanisms and socio-cultural learning is relevant to a sample of medical students because it accounts for interaction of the biological or innate aspects of their personal development within an intense and competitive learning environment of medical school.

Technostress creators, personality traits, and job burnout: A fuzzy-set configurational analysis

Building on the transactional perspective of stress and the complexity theory, we analyzed the effects of personality traits and technostress creators on job burnout by applying the fuzzy-set configurational approach (fsQCA) on a sample of 161 senior managers. Our findings reveal nine substitutable configurations in which different combinations of personality traits may react in different ways to technostress creators and cope differently with job burnout. Five configurations may lead to high job burnout, and four configurations may lead to low and medium job burnout. The multiple configurations provided can help senior managers to understand that there is not a single optimal path leading to high (vs. low/medium) job burnout but rather different paths, depending on different combinations of personality traits. Indeed, our findings can help senior managers to establish “personalized” preventive actions, depending on different combinations of personality traits in order to prevent high levels of stress.

Relationship Between Different Combinations of Personality Traits and Motivation Mechanism: Change Leadership as Mediator

The aim of this study is to identify combinations of different personality traits among teaching faculty and explore for which combinations college managers should use change leadership to mediate their cognition in a motivation mechanism and for which combinations doing so is not necessary. In this study, two-stage cluster analysis and partial least squares are the methods for identifying different combinations of personality traits and test mediation. This study uses 350 samples for analysis. From the test results, this study first identifies three combinations of personality traits, including “high central force but outgoing”, “middle–high central force but outgoing and a little nervousness”, and “synthesizing type”. The “highly central force but outgoing” and “middle–high central force but outgoing and a little nervousness” do not need to be mediated by change leadership, and teaching faculty who have these two combinations of personality traits will have positive attitudes or thoughts towards the motivation mechanism. Regarding the “synthesizing type”, those with this combination of personality traits will demonstrate complex attitudes, reactions, or thinking, and therefore, college managers should think about how to change their attitudes or behaviour through change leadership to communicate and guide them to accept the motivation mechanism.

The Implications of Contextual Realities on Career Development: The Specific Case of University Research Managers and Administrators in Small Island States

Career development for university research managers and administrators (RMAs) is inherently challenging in small island states. In this article, we argue that by acquiring career adaptability resources, university RMAs can address their career development needs even in contexts with a restricted labor market. We do this by first identifying the factors that shape the career development prospects of university RMAs. Subsequently, we present evidence of how university RMAs in small island states may pursue their career development goals by redefining their roles according to the contextual realities. Career adaptability theory helps us to explore how this redefinition occurs, particularly since adaptability arises from a combination of personality traits (self-regulation) and careful interventions that can build adaptability resources. We use the knowledge from career adaptability theory to identify a number of implications for RMAs, universities, counselors, and professional associations to address career development issues within restricted small island contexts.

Predicting workers' compensation claims and disciplinary actions using SecureFit®: Further support for integrative models of workplace safety

IntroductionA growing body of applied research has identified certain psychological traits that are predictive of worker safety. However, most of these studies suffer from an overreliance on common method bias caused by self-report measures of both: (a) personal factors such as personality traits; and (b) outcomes such as safety behaviors and injuries. MethodThis study utilized archival data from 796 employees at a large U.S. automobile manufacturer. Data were gathered on a pre-employment assessment, SecureFit®, that measured key personality characteristics such as conscientiousness, locus of control, and risk taking. In addition, objective measures of workers' compensation claims and disciplinary actions were also gathered. ResultsThe results indicated that disciplinary actions and workers' compensation claims were strongly correlated. It also demonstrated that the pre-employment assessment was able to predict both disciplinary actions and workers' compensation claims up to 12months in the future. Screening out just 8% of the applicant sample using the assessment would have resulted in a 35% reduction in disciplinary actions and 46% in workers' compensation claims, respectively. ConclusionsThe study found a very strong relationship between counterproductive work behaviors (CWBs), such as not following rules, and workers' compensation claims. It also found a strong relationship between a combination of personality traits that have been shown to be associated with both variables, although the current study was able to demonstrate that relationship with objective measure of both variables. Practical applicationsIndividuals who receive disciplinary actions for things such as not following rules, not coming to work on time, etc. are significantly more likely to also be involved in serious safety incidents, and vice versa. Identifying those individuals early on in the hiring process and screening them out can significantly reduce the number of CWBs as well as workers' compensation claims.

Personality Traits and Metacognitions as Predictors of Positive Mental Health in College Students

Presence and absence of both psychological distress and well-being are important in predicting life outcomes among youths. Recently, scholars have been paying increased attention to the role of positive mental health (PMH) in predicting psycho-social well-being among young people. The present study aims to test a model designed to assess the unique contribution of personality traits and metacognitions to four domains of PMH (belief-in-self, belief-in-others, emotional competence, and engaged living) among young adults. A total of 795 Italian college students participated in the study. Path analysis revealed that different personality traits were contributors to different PMH domains, and that four of the five metacognitions domains (negative beliefs about thoughts, cognitive confidence, need to control thoughts, and cognitive self-consciousness) differently predicted the four PMH domains. In conclusion it would appear that a combination of personality traits and metacognitions are differently involved in PMH domains. These should be taken into account when developing preventive programmes to promote PMH among young adults.

Influence of Trainee Characteristics on Acquired Pharmacology Knowledge of Dental Professionals: A Pilot Study

Abstract: Background: Organizations spend an extensive amount of time and money on training in order to promote employees’ learning, development, and job-related competencies. This study examined the influence of trainee characteristics of the dental practitioners attending the continuing medical education (CME) on“dental pharmacology and patient safety” and their effect on acquired knowledge. Methods: The trainee characteristics of the dental practitioners were conceptualized into four dimensions: motivation to learn, reaction to training, expectations from training, and organizational commitment. A questionnaire containing 20 items related to measuring the levels of knowledge acquired from training were included. With SPSS ver. 21, central tendencies and dispersion, Pearson correlation, and simple linear regression were measured (p<0.05). Results: The results of this study found a positive correlation between the independent variables. Through linear regression, a positive correlation between the independent variables and acquired knowledge was discovered. Conclusion: A combination of personality traits is vital for dental professionals to excel in dental training programs. Key words: Acquired Knowledge, Expectation, Organizational Commitment, Motivation, Training.

Interactions Between Internalizing Symptoms and Urgency in the Prediction of Alcohol Use and Expectancies Among Low-Income, Minority Early Adolescents.

This study examined whether urgency, a disposition to rash action under conditions of strong emotion, moderates associations between internalizing symptoms and alcohol use and related expectancies. Data from the Camden Youth Development Study, a longitudinal, community-based study of early adolescents (N = 144, mean age at intake = 11.9 years; 65% Hispanic, 30% African-American; 50% male), were used. Self-report questionnaire measures of depressive symptoms, social and generalized anxiety symptoms, urgency, alcohol use, and alcohol expectancies were used. Mixed models were used to examine the effects of internalizing symptoms, urgency, and their interaction on alcohol use and expectancy trajectories over time. Depressive symptoms interacted with urgency such that youth with high levels of both tended to have elevated levels of global positive alcohol expectancies. Social anxiety symptoms interacted with urgency to be associated with increasing levels of social behavior alcohol expectancies such that youth with high levels of both tended to experience particular increases in these expectancies over time. Generalized anxiety was not found to be associated with alcohol-related constructs. Therefore, high levels of urgency combine with depressive and social anxiety symptoms to be associated with particularly increased risk for alcohol expectancies that are associated with later alcohol use and problems, indicating particular risk for youth with these combinations of personality traits and psychopathology symptoms.