The ABC of happiness: Validation of the tridimensional model of subjective well-being (affect, cognition, and behavior) using Bifactor Polytomous Multidimensional Item Response Theory.

Background: Happiness is often conceptualized as subjective well-being, which comprises people's evaluations of emotional experiences (i.e., the affective dimension: positive and negative feelings and emotions) and judgements of a self-imposed ideal (i.e., the cognitive dimension: life satisfaction). Recent research has established these two dimensions as primary parts of a higher order factor. However, theoretical, conceptual, and empirical work suggest that people's evaluations of harmony in their life (i.e., the sense of balance and capacity to behave and adapt with both acceptance and flexibility to inter- and intrapersonal circumstances) constitutes a third dimension (i.e., the behavioral dimension). This tridemensional conceptualization of subjective well-being has recently been verified using Unidimensional Item Response Theory (UIRT) and Classical Test Theory (CTT). Here, we use a recently developed and more robust approach that combines these two methods (i.e., Multidimensional Item Response Theory, MIRT) to simultaneously address the complex interactions and multidimensionality behind how people feel, think, and behave in relation to happiness in their life. Method: A total of 435 participants (197 males and 238 females) with an age mean of 44.84 (sd = 13.36) responded to the Positive Affect Negative Affect Schedule (10 positive affect items, 10 negative affect items), the Satisfaction with Life Scale (five items), and the Harmony in life Scale (five items). We used Bifactor-Graded Response MIRT for the main analyses. Result: At the general level, each of the 30 items had a strong capacity to discriminate between respondents across all three dimensions of subjective well-being. The investigation of different parameters (e.g., marginal slopes, ECV, IECV) strongly reflected the multidimensionality of subjective well-being at the item, the scale, and the model level. Indeed, subjective well-being could explain 64 % of the common variance in the whole model. Moreover, most of the items measuring positive affect (8/10) and life satisfaction (4/5) and all the items measuring harmony in life (5/5) accounted for a larger amount of variance of subjective well-being compared to that of their respective individual dimensions. The negative affect items, however, measured its own individual concept to a lager extent rather than subjective well-being. Thus, suggesting that the experience of negative affect is a more independent dimension within the whole subjective well-being model. We also found that specific items (e.g., "Alert", "Distressed", "Irritable", "I am satisfied with my life") were the recurrent exceptions in our results. Last but not the least, experiencing high levels in one dimension seems to compensate for low levels in the others and vice versa. Conclusion: As expected, the three subjective well-being dimensions do not work separately. Interestingly, the order and magnitude of the effect by each dimension on subjective well-being mirror how people define happiness in their life: first as harmony, second as satisfaction, third as positive emotions, and fourth, albeit to a much lesser degree, as negative emotions. Ergo, we argue that subjective well-being functions as a complex biopsychosocial adaptive system mirroring our attitude towards life in these three dimensions (A: affective dimension; B: behavioral dimension; C: cognitive dimension). Ergo, researchers and practitioners need to take in to account all three to fully understand, measure, and promote people's experience of the happy life. Moreover, our results also suggest that negative affect, especially regarding high activation unpleasant emotions, need considerable changes and further analyses if it is going to be included as a construct within the affective dimension of a general subjective well-being factor.

Coherence of character and temperament drives personality change toward well being in person-centered therapy.

PURPOSE OF REVIEW: People and communities around the world face many crises, including increasing burdens from disease, psychopathology, burn-out, social distrust, and acts of hate and terrorism. Personality disorder is arguably both a root cause and a consequence of these problems, creating a vicious cycle of suffering caused by fears, immoderate desires, and social distrust that are inconsistent with rational goals and prosocial values. Fortunately, recent advances in understanding the biopsychosocial basis and dynamics of development in personality and its disorders offer insights to address these problems in effective person-centered ways. RECENT FINDINGS: Fundamental advances have been made recently in the understanding of the psychobiology and sociology of personality in relationship to health, and in basic mechanisms of personality change as a complex process of learning and memory. Promotion of self-awareness and intentional self-control releases a strong tendency for people to seek coherence of their emotions and habits with what gives their life meaning and value. SUMMARY: People have a strong drive to cultivate personalities in which their emotions and habits are reliably in accord with reasonable goals and prosocial values. Person-centered therapeutics provide practical ways to promote a virtuous cycle of increasing well being for individuals and their communities and habitats.

A longitudinal cohort study observed increasing perfectionism and declining resilience, ambiguity tolerance and calling during medical school which is not explained by student personality.

BACKGROUND: The medical degree is a long and challenging program, not just academically, but regarding the expectations engrained in the culture of medical education. The recent proliferation of literature on the poor mental well-being among students suggests a dilemma that often lays the onus on students to improve their health. The link between personality and vulnerability to psychological distress is acknowledged. This longitudinal study looked at personality in 1st-year and changes in levels of certain psychological traits, as proxy indicators of well-being, in 4th-year. We aimed to determine to what extent changes in psychological traits over time may be attributed to personality. METHODS: Medical students completed surveys at the start (1st-year: baseline) and finish (4th-year: follow-up) of their medical degree (N = 154). Temperament and character personality, Perfectionism-Concern over mistakes (CoM), Ambiguity Tolerance, Resilience, Calling to medicine, and demographic variables were measured. Paired t-tests compared changes in psychological traits from baseline to follow-up. Linear regression examined whether personality at baseline would predict levels of psychological traits at follow-up. RESULTS: The temperament and character profile of the sample was as expected, and congruent with previous studies, which describe a mature personality. Over four years, levels of Perfectionism-CoM significantly increased, while Resilience, Ambiguity Tolerance and Calling to medicine decreased. Harm Avoidance, Persistence, Self-Directedness and Cooperativeness at baseline significantly predicted levels of these traits at follow-up, but effect sizes were weak. Correlations were in the expected direction and weak. CONCLUSIONS: Most commencing medical students, including this cohort, have mature personalities with an industrious temperament and an adaptable character. Yet over four years of medicine, Ambiguity Tolerance, Resilience and Calling declined while Perfectionism-CoM, already elevated at baseline, continued to increase to the final year. Of concern is the increased perfectionism that is strongly associated with poor mental health and psychological distress. The findings suggest a closer look at the entirety of the education environment and how its culture, including secondary school and the medical school admissions processes may influence these trends in students. As medical educators we should question why the pathway to medicine places such unhealthy pressure on students who aspire to be doctors.

Resilience personality profiles among Swedish long-term unemployed.

Our aim was to investigate the prevalence of resilience personality profiles in a sample of Swedish long-term unemployed in relation to the general Swedish population. We found that only 1.50% (vs. 26% in the general population) in the long-term unemployed sample had a resilient personality profile, that is, low in harm avoidance (e.g., relaxed and optimistic), high in persistence (e.g., hard-working), and high in self-directedness (i.e., goal-oriented and resourceful).

Development and primary validation of the School Health Assessment Tool for Primary Schools (SHAT-PS).

BACKGROUND: School health programs need to target all aspects of physical, psychological, and social well-being. Using a slightly modified version of the COSMIN Risk of Bias checklist, we developed and conducted the first validation of the School Health Assessment Tool for Primary Schools (SHAT-PS). METHOD: The exploratory sequential mixed method was used in this study. In the first phase, scientific databases were systematically searched to find school health models and instruments and 65 interviews were conducted with school stakeholders. The Colaizzi's method was used to code the qualitative data into themes. Then, a pool of items was created for each theme, rechecked by psychometric experts and then validated for content (i.e., relevance, clarity, and comprehensiveness) by psychometric experts and individuals of the target population (i.e., school personnel). In the second phase, classical test theory was utilized to analyze the validity and reliability of the resulting items from phase 1 among 400 individuals working at primary schools. RESULTS: The coding of the interviews resulted in ten themes that we labeled based on the theoretical literature: school health policies, community connections, health education, physical activity, health services, nutrition, psychological services, physical environment, equipment and facilities, and school staff's health. The items created for each theme ended up in an initial pool of 76 items. In the final stage of phase 1, 69 items remained after the content validity assessment by experts and school personnel. In phase 2, the SHAT-PS items were tested using maximum likelihood exploratory factor analysis and confirmatory factor analysis. Of the 69 items from phase 1, 22 items were removed due to low factor loadings. The results showed that the 8-factor model was the best solution (chi-square/df = 2.41, CFI = .98, TLI = .97, RMSEA = .06). The discriminant and convergent validity of the SHAT-PS were evaluated as satisfactory and the scale had high internal consistency (Cronbach's alpha for all subscales > .93). The test-retest reliability was satisfactory-the intraclass correlation coefficient pooled was .95 (99% CI [.91-.98]). Moreover, the standard error of measurement resulted in an SEM pooled equal to 4.4. No discrepancy was found between subgroups of gender and subgroups of staffs' positions at schools. CONCLUSION: The SHAT-PS is a valid and reliable tool that may facilitate school staff, stakeholders and researchers to evaluate the presence of the factors that promote health at primary schools. Nevertheless, in the process of validation, many of the items related to staff's health were eliminated due to poor factor loadings. Obviously, staff health is an important factor in the measurement of school health. Hence, we recommend that the validity and reliability of the SHAT-PS in other cultures should be done using the original 76-item version.

Three genetic-environmental networks for human personality.

Phylogenetic, developmental, and brain-imaging studies suggest that human personality is the integrated expression of three major systems of learning and memory that regulate (1) associative conditioning, (2) intentionality, and (3) self-awareness. We have uncovered largely disjoint sets of genes regulating these dissociable learning processes in different clusters of people with (1) unregulated temperament profiles (i.e., associatively conditioned habits and emotional reactivity), (2) organized character profiles (i.e., intentional self-control of emotional conflicts and goals), and (3) creative character profiles (i.e., self-aware appraisal of values and theories), respectively. However, little is known about how these temperament and character components of personality are jointly organized and develop in an integrated manner. In three large independent genome-wide association studies from Finland, Germany, and Korea, we used a data-driven machine learning method to uncover joint phenotypic networks of temperament and character and also the genetic networks with which they are associated. We found three clusters of similar numbers of people with distinct combinations of temperament and character profiles. Their associated genetic and environmental networks were largely disjoint, and differentially related to distinct forms of learning and memory. Of the 972 genes that mapped to the three phenotypic networks, 72% were unique to a single network. The findings in the Finnish discovery sample were blindly and independently replicated in samples of Germans and Koreans. We conclude that temperament and character are integrated within three disjoint networks that regulate healthy longevity and dissociable systems of learning and memory by nearly disjoint sets of genetic and environmental influences.

Validation of a general subjective well-being factor using Classical Test Theory.

BACKGROUND: Subjective Well-Being (SWB) is usually conceptualized in terms of an affective (i.e., judgements of biological emotional reactions and experiences) and a cognitive component (i.e., judgements of life satisfaction in relation to a psychological self-imposed ideal). Recently, researchers have suggested that judgements of harmony in life can replace or at least complement the cognitive component of SWB. Here, however, we go beyond that suggestion and propose that harmony in life should be seen as SWB's social component since it is the sense of balance between the individual and the world around her-a process that comprises acceptance, adaptation, and balance. By adding judgements of one's social interactions (i.e., harmony in life) to judgments of one's life satisfaction (psycho) and judgements of one's emotional reactions (bio), we propose a tentatively biopsychosocial model of SWB. As a first step, we used different factorial models in order to determine if both a general factor and specific sub-factors contribute to the biopsychosocial model of SWB. METHOD: A total of 527 participants responded to the Positive Affect Negative Affect Schedule (PANAS; 20 items), the Satisfaction with Life Scale (SWLS; five items), and the Harmony in life Scale (HILS; five items). We conducted exploratory and confirmatory factor analyses to validate the biopsychosocial model of subjective well-being and a general factor (SWBS). RESULTS: The 20 PANAS items reflected a mixture of general latent structure saturation and specific latent structure saturation, but contributed to their respective specific latent factor (PA: 48%; NA: 49%) more than to the general latent SWBS factor (positive affect: 25%; negative affect: 32%). The five SWLS items contributed to a larger degree to the general SWBS factor (72%) than to life satisfaction itself (22%), while the five HILS items contributed to even a larger degree to the general SWBS factor (98%) than to harmony in life (0%). The bifactor model was the best model compared with all other models we tested (χ2 = 1,660.78, df = 375, p < 0.001); Satorra Bentler χ2 = 1,265.80, df = 375, p < 0.001; CFI = 0.92; Tucker-Lewis Index = 0.91; RMSEA = 0.067. This model of a general SWBS factor explained about 64% of the total variance in the model, while specific SWBS components together explained 15% of the total variance. CONCLUSION: Our study suggests SWB as a general factor in a multidimensional biopsychosocial model. Indeed, as much as 64% of the variance of SWB was explained by this general factor. The SWB components, however, contributed to a different degree to each corresponding factor in the model. For instance, while the affective and cognitive components seem to be their own constructs and also part of the general SWB factor, the social component tested here contributed 0% to its own variance but 98% to the general factor.

Validation of Two Short Personality Inventories Using Self-Descriptions in Natural Language and Quantitative Semantics Test Theory.

BACKGROUND: If individual differences are relevant and prominent features of personality, then they are expected to be encoded in natural language, thus manifesting themselves in single words. Recently, the quantification of text data using advanced natural language processing techniques offers innovative opportunities to map people's own words and narratives to their responses to self-reports. Here, we demonstrate the usefulness of self-descriptions in natural language and what we tentatively call Quantitative Semantic Test Theory (QuSTT) to validate two short inventories that measure character traits. METHOD: In Study 1, participants (N 1 = 997) responded to the Short Character Inventory, which measures self-directedness, cooperativeness, and self-transcendence. In Study 2, participants (N 2 = 2373) responded to Short Dark Triad, which measures Machiavellianism, narcissism, and psychopathy. In both studies, respondents were asked to generate 10 self-descriptive words. We used the Latent Semantic Algorithm to quantify the meaning of each trait using the participants' self-descriptive words. We then used these semantic representations to predict the self-reported scores. In a second set of analyses, we used word-frequency analyses to map the self-descriptive words to each of the participants' trait scores (i.e., one-dimensional analysis) and character profiles (i.e., three-dimensional analysis). RESULTS: The semantic representation of each character trait was related to each corresponding self-reported score. However, participants' self-transcendence and Machiavellianism scores demonstrated similar relationships to all three semantic representations of the character traits in their respective personality model. The one-dimensional analyses showed that, for example, "loving" was indicative of both high cooperativeness and self-transcendence, while "compassionate," "kind," and "caring" was unique for individuals high in cooperativeness. The words "kind" and "caring" indicated low levels of Machiavellianism and psychopathy, whereas "shy" or "introvert" indicated low narcissism. We also found specific keywords that unify or that make the individuals in some profiles unique. CONCLUSION: Despite being short, both inventories capture individuals' identity as expected. Nevertheless, our method also points out some shortcomings and overlaps between traits measured with these inventories. We suggest that self-descriptive words can be quantified to validate measures of psychological constructs (e.g., prevalence in self-descriptions or QuSTT) and that this method may complement traditional methods for testing the validity of psychological measures.

Uncovering the complex genetics of human temperament.

Experimental studies of learning suggest that human temperament may depend on the molecular mechanisms for associative conditioning, which are highly conserved in animals. The main genetic pathways for associative conditioning are known in experimental animals, but have not been identified in prior genome-wide association studies (GWAS) of human temperament. We used a data-driven machine learning method for GWAS to uncover the complex genotypic-phenotypic networks and environmental interactions related to human temperament. In a discovery sample of 2149 healthy Finns, we identified sets of single-nucleotide polymorphisms (SNPs) that cluster within particular individuals (i.e., SNP sets) regardless of phenotype. Second, we identified 3 clusters of people with distinct temperament profiles measured by the Temperament and Character Inventory regardless of genotype. Third, we found 51 SNP sets that identified 736 gene loci and were significantly associated with temperament. The identified genes were enriched in pathways activated by associative conditioning in animals, including the ERK, PI3K, and PKC pathways. 74% of the identified genes were unique to a specific temperament profile. Environmental influences measured in childhood and adulthood had small but significant effects. We confirmed the replicability of the 51 Finnish SNP sets in healthy Korean (90%) and German samples (89%), as well as their associations with temperament. The identified SNPs explained nearly all the heritability expected in each sample (37-53%) despite variable cultures and environments. We conclude that human temperament is strongly influenced by more than 700 genes that modulate associative conditioning by molecular processes for synaptic plasticity and long-term memory.

Uncovering the complex genetics of human character.

Human personality is 30-60% heritable according to twin and adoption studies. Hundreds of genetic variants are expected to influence its complex development, but few have been identified. We used a machine learning method for genome-wide association studies (GWAS) to uncover complex genotypic-phenotypic networks and environmental interactions. The Temperament and Character Inventory (TCI) measured the self-regulatory components of personality critical for health (i.e., the character traits of self-directedness, cooperativeness, and self-transcendence). In a discovery sample of 2149 healthy Finns, we identified sets of single-nucleotide polymorphisms (SNPs) that cluster within particular individuals (i.e., SNP sets) regardless of phenotype. Second, we identified five clusters of people with distinct profiles of character traits regardless of genotype. Third, we found 42 SNP sets that identified 727 gene loci and were significantly associated with one or more of the character profiles. Each character profile was related to different SNP sets with distinct molecular processes and neuronal functions. Environmental influences measured in childhood and adulthood had small but significant effects. We confirmed the replicability of 95% of the 42 SNP sets in healthy Korean and German samples, as well as their associations with character. The identified SNPs explained nearly all the heritability expected for character in each sample (50 to 58%). We conclude that self-regulatory personality traits are strongly influenced by organized interactions among more than 700 genes despite variable cultures and environments. These gene sets modulate specific molecular processes in brain for intentional goal-setting, self-reflection, empathy, and episodic learning and memory.

The complex genetics and biology of human temperament: a review of traditional concepts in relation to new molecular findings.

Recent genome-wide association studies (GWAS) have shown that temperament is strongly influenced by more than 700 genes that modulate associative conditioning by molecular processes for synaptic plasticity and long-term learning and memory. The results were replicated in three independent samples despite variable cultures and environments. The identified genes were enriched in pathways activated by behavioral conditioning in animals, including the two major molecular pathways for response to extracellular stimuli, the Ras-MEK-ERK and the PI3K-AKT-mTOR cascades. These pathways are activated by a wide variety of physiological and psychosocial stimuli that vary in positive and negative valence and in consequences for health and survival. Changes in these pathways are orchestrated to maintain cellular homeostasis despite changing conditions by modulating temperament and its circadian and seasonal rhythms. In this review we first consider traditional concepts of temperament in relation to the new genetic findings by examining the partial overlap of alternative measures of temperament. Then we propose a definition of temperament as the disposition of a person to learn how to behave, react emotionally, and form attachments automatically by associative conditioning. This definition provides necessary and sufficient criteria to distinguish temperament from other aspects of personality that become integrated with it across the life span. We describe the effects of specific stimuli on the molecular processes underlying temperament from functional, developmental, and evolutionary perspectives. Our new knowledge can improve communication among investigators, increase the power and efficacy of clinical trials, and improve the effectiveness of treatment of personality and its disorders.

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

BACKGROUND: Certain 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. METHODS: A 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. RESULTS: Students 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. CONCLUSIONS: A 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.

Validation of Subjective Well-Being Measures Using Item Response Theory.

Background: Subjective well-being refers to the extent to which a person believes or feels that her life is going well. It is considered as one of the best available proxies for a broader, more canonical form of well-being. For over 30 years, one important distinction in the conceptualization of subjective well-being is the contrast between more affective evaluations of biological emotional reactions and more cognitive evaluations of one's life in relation to a psychologically self-imposed ideal. More recently, researchers have suggested the addition of harmony in life, comprising behavioral evaluations of how one is doing in a social context. Since measures used to assess subjective well-being are self-reports, often validated only using Classical Test Theory, our aim was to focus on the psychometric properties of the measures using Item Response Theory. Method: A total of 1000 participants responded to the Positive Affect Negative Affect Schedule. At random, half of the participants answered to the Satisfaction with Life Scale or to the Harmony in life Scale. First, we evaluate and provide enough evidence of unidimensionality for each scale. Next, we conducted graded response models to validate the psychometric properties of the subjective well-being scales. Results: All scales showed varied frequency item distribution, high discrimination values (Alphas), and had different difficulty parameters (Beta) on each response options. For example, we identified items that respondents found difficult to endorse at the highest/lowest point of the scales (e.g., "Proud" for positive affect; item 5, "If I could live my life over, I would change almost nothing," for life satisfaction; and item 3, "I am in harmony," for harmony in life). In addition, all scales could cover a good portion of the range of subjective well-being (Theta): -2.50 to 2.30 for positive affect, -1.00 to 3.50 for negative affect, -2.40 to 2.50 for life satisfaction, and -2.40 to 2.50 for harmony in life. Importantly, for all scales, there were weak reliability for respondents with extreme latent scores of subjective well-being. Conclusion: The affective component, especially low levels of negative affect, were less accurately measured, while both the cognitive and social component were covered to an equal degree. There was less reliability for respondents with extreme latent scores of subjective well-being. Thus, to improve reliability at the level of the scale, at the item level and at the level of the response scale for each item, we point out specific items that need to be modified or added. Moreover, the data presented here can be used as normative data for each of the subjective well-being constructs.

Self-descriptions on LinkedIn: Recruitment or friendship identity?

We used quantitative semantics to find clusters of words in LinkedIn users' self-descriptions to an employer or a friend. Some of these clusters discriminated between worker and friend conditions (e.g., flexible vs. caring) and between LinkedIn users with high and low education (e.g., analytical vs. messy).

Aspiring personality: Patients waiting for obesity treatment.

The aim of the present study was to investigate differences in temperament and character between patients (N = 70) waiting for obesity surgery and the general population. Patients waiting for obesity surgery scored higher in Harm-Avoidance, Reward Dependence, Persistence, and Cooperativeness and also lower in Self-Directedness.

The influence of temperament and character profiles on specialty choice and well-being in medical residents.

BACKGROUND: Multiple factors influence the decision to enter a career in medicine and choose a specialty. Previous studies have looked at personality differences in medicine but often were unable to describe the heterogeneity that exists within each specialty. Our study used a person-centered approach to characterize the complex relations between the personality profiles of resident physicians and their choice of specialty. METHODS: 169 resident physicians at a large Midwestern US training hospital completed the Temperament and Character Inventory (TCI) and the Satisfaction with Life Scale (SWLS). Clusters of personality profiles were identified without regard to medical specialty, and then the personality clusters were tested for association with their choice of specialty by co-clustering analysis. Life satisfaction was tested for association with personality traits and medical specialty by linear regression and analysis of variance. RESULTS: We identified five clusters of people with distinct personality profiles, and found that these were associated with particular medical specialties Physicians with an "investigative" personality profile often chose pathology or internal medicine, those with a "commanding" personality often chose general surgery, "rescuers" often chose emergency medicine, the "dependable" often chose pediatrics, and the "compassionate" often chose psychiatry. Life satisfaction scores were not enhanced by personality-specialty congruence, but were related strongly to self-directedness regardless of specialty. CONCLUSIONS: The personality profiles of physicians were strongly associated with their medical specialty choices. Nevertheless, the relationships were complex: physicians with each personality profile went into a variety of medical specialties, and physicians in each medical specialty had variable personality profiles. The plasticity and resilience of physicians were more important for their life satisfaction than was matching personality to the prototype of a particular specialty.

Identifying the Dominant Personality Profiles in Medical Students: Implications for Their Well-Being and Resilience.

PURPOSE: There is a high prevalence of stress, depression, and burn-out in medical students. Medical students differ widely in personality traits, self-perceptions, and values that may have an impact on their well-being. This study aimed to investigate variability in their personality profiles in relation to their potential for well-being and resilience. METHOD: Participants were 808 medical students from The University of Queensland. An online questionnaire collected socio-demographics and the Temperament and Character Inventory to assess personality traits. Latent profile analyses identified students' trait profiles. RESULTS: Two distinct personality profiles were identified. Profile 1 ("Resilient") characterized 60% of the sample and was distinguished by low Harm Avoidance combined with very high Persistence, Self-Directedness and Cooperativeness compared to Profile 2 ("Conscientious"). Both Profiles had average levels of Reward Dependence and Novelty Seeking and low levels of Self-Transcendence. Profiles did not differ by age, gender, or country of birth, but rural background students were more likely to have Profile 1. While both Profiles indicate mature and healthy personalities, the combination of traits in Profile 1 is more strongly indicative of well-being and resilience. CONCLUSIONS: Finding two distinct profiles of personality highlights the importance of considering combinations of traits and how they may interact with medical students' potential for well-being. Although both profiles of students show healthy personalities, many may lack the resilience to maintain well-being over years of medical training. Programs that develop character and personality self-awareness would enhance their well-being and prepare them to promote the health of their patients.

People Create Health: Effective Health Promotion is a Creative Process.

Effective health promotion involves the creative cultivation of physical, mental, social, and spiritual well-being. Efforts at health promotion produce weak and inconsistent benefits when it does not engage people to express their own goals and values. Likewise, health promotion has been ineffective when it relies only on instruction about facts regarding a healthy lifestyle, or focuses on reduction of disease rather than the cultivation of well-being. Meta-analysis of longitudinal studies and experimental interventions shows that improvements in subjective well-being lead to short-term and long-term reductions in medical morbidity and mortality, as well as to healthier functioning and longevity. However, these effects are inconsistent and weak (correlations of about 0.15). The most consistent and strong predictor of both subjective well-being and objective health status in longitudinal studies is a creative personality profile characterized by being highly self-directed, cooperative, and self-transcendent. There is a synergy among these personality traits that enhances all aspects of the health and happiness of people. Experimental interventions to cultivate this natural creative potential of people are now just beginning, but available exploratory research has shown that creativity can be enhanced and the changes are associated with widespread and profound benefits, including greater physical, mental, social, and spiritual well-being. In addition to benefits mediated by choice of diet, physical activity, and health care utilization, the effect of a creative personality on health may be partly mediated by effects on the regulation of heart rate variability. Creativity promotes autonomic balance with parasympathetic dominance leading to a calm alert state that promotes an awakening of plasticities and intelligences that stress inhibits. We suggest that health, happiness, and meaning can be cultivated by a complex adaptive process that enhances healthy functioning, plasticity and self-transcendent values. Health promotion is likely to have only weak and consistent benefits unless it is person-centered and thereby helps people to learn to live more creatively.

The psychometrics and validity of the Junior Temperament and Character Inventory in Portuguese adolescents.

Personality traits related to persistence and self-regulation of long-term goals can predict academic performance as well or better than measures of intelligence. The 5-factor model has been suggested to outperform some other personality tests in predicting academic performance, but it has not been compared to Cloninger's psychobiological model for this purpose. The aims of this study were, first, to evaluate the psychometric properties of the Junior Temperament and Character Inventory (JTCI) in adolescents in Portugal, and second, to evaluate the comparative validity of age-appropriate versions of Cloninger's 7-factor psychobiological model, Costa and McCrae's five-factor NEO-Personality Inventory-Revised, and Cattell's 16-personality-factor inventory in predicting academic achievement. All dimensions of the Portuguese JTCI had moderate to strong internal consistency. The Cattell's sixteen-personality-factor and NEO inventories provided strong construct validity for the JTCI in students younger than 17 years and for the revised adult version (TCI-Revised) in those 17 years and older. High TCI Persistence predicted school grades regardless of age as much or more than intelligence. High TCI Harm Avoidance, high Self-Transcendence, and low TCI Novelty Seeking were additional predictors in students older than 17. The psychobiological model, as measured by the JTCI and TCI-Revised, performed as well or better than other measures of personality or intelligence in predicting academic achievement.

Person-centered Therapeutics.

A clinician's effectiveness in treatment depends substantially on his or her attitude toward -- and understanding of -- the patient as a person endowed with self-awareness and the will to direct his or her own future. The assessment of personality in the therapeutic encounter is a crucial foundation for forming an effective working alliance with shared goals. Helping a person to reflect on their personality provides a mirror image of their strengths and weaknesses in adapting to life's many challenges. The Temperament and Character Inventory (TCI) provides an effective way to describe personality thoroughly and to predict both the positive and negative aspects of health. Strengths and weaknesses in TCI personality traits allow strong predictions of individual differences of all aspects of well-being. Diverse therapeutic techniques, such as diet, exercise, mood self-regulation, meditation, or acts of kindness, influence health and personality development in ways that are largely indistinguishable from one another or from effective allopathic treatments. Hence the development of well-being appears to be the result of activating a synergistic set of mechanisms of well-being, which are expressed as fuller functioning, plasticity, and virtue in adapting to life's challenges.