Personality, Retirement, and Cognitive Impairment: Moderating and Mediating Associations

Objectives: Five-factor model (FFM) personality traits, including higher conscientiousness and lower neuroticism, are associated with lower risk of dementia and cognitive impairment. In this research, we test whether retirement status moderates and/or mediates the relation between personality and cognitive impairment. Method: We used data from the Health and Retirement Study ( N = 9899), a longitudinal study of Americans over the age of 50 years, to examine moderating and mediating associations between personality traits and retirement status on risk of dementia and cognitive impairment not dementia (CIND) over an 8–10 year follow-up. Results: Personality and retirement each had strong, independent associations with risk of dementia and CIND. There were not, however, strong or consistent, moderating or mediating associations between personality and retirement predicting impairment risk. Discussion: Overall, these results indicate that personality and retirement are independent risk factors for incident cognitive impairment. Mechanisms other than retirement are likely to explain this association.

Creativity and Personality Traits as Foreign Language Acquisition Predictors in University Linguistics Students

Foreign (second) language (FL/SL) proficiency is one of the most important competencies for a modern person, and is necessary for both professional and personal fulfillment. The purpose of this study is to consider and compare personality traits and creativity as predictors of success in foreign language acquisition (FLA). The sample includes 128 (105 female and 23 male) first- and second-year university linguistics students. Creativity is measured by the Abbreviated Torrance Test for Adults (ATTA). The FFM personality traits are measured by the Russian NEO Five-Factor Inventory adaptation by S. Biryukov and M. Bodunov. To assess the level of FL proficiency, we used a traditional academic achievement indicator (the semester’s final grades in English), as well as the English teachers’ assessment of the level of language proficiency of their students according to the “Foreign Language Proficiency Scale” (10 indicators and total score). Descriptive statistics methods and a multiple regression analysis were used to process the data in the R software environment, version 3.5.2. The findings of our research showed that creativity indicators have a stronger but contradictory impact on the level of FL proficiency compared to personality traits. We suggest that teachers, most likely, lack knowledge on the manifestations of student creativity in the process of FL learning.

Cortical morphometry of the five-factor model of personality: Findings from the Human Connectome Project full sample

This study is a replication of an existing large study (N = 507) on the surface-based morphometric correlates of Five-Factor Model (FFM) personality traits. The same methods were used as the original study in another large sample drawn from the same population (N = 597) with results then being aggregated from both samples (N = 1104), providing the largest investigation into the neuroanatomical correlates of FFM personality traits to date. Clusters of association between brain morphometry and each FFM trait are reported. For Neuroticism, Agreeableness, Openness, and Conscientiousness clusters of association were found in the dorsolateral prefrontal cortex for at least one morphometric index. Morphometry in various other regions was also associated with each personality trait. While some regions found in the original study were confirmed in the replication and full samples, others were not, highlighting the importance of replicating even high-quality, well-powered studies. Effect sizes were very similar in the replication and whole samples as those found in the original study. As a whole, the current results provide the strongest evidence to date on the neuroanatomical correlates of personality and highlights challenges in using this approach to understanding the neural correlates of personality.

Role of personality traits in reporting the development of adverse drug reactions: a prospective cohort study of the Estonian general population

ObjectiveTo examine the role of the Five Factor Model (FFM) personality traits in reporting the development of adverse drug reactions (ADRs) when controlling for sociodemographic variables and health status.DesignProspective cohort study.SettingThe Estonian Biobank of the Estonian Genome Centre, University of Tartu.Participants814 women and 543 men (mean age=47.9 years;SD=15.2) who after the initial enrolment in the Estonian Biobank were re-contacted for follow-up purposes about 5.3 years after the enrolment and for whom both self- and informant-reported personality data were available.Main outcome measureParticipants who did not report having any ADRs at baseline but who reported ADRs at the follow-up about 5.3 years later versus participants who did not report any ADRs at either time point. The reports of developing ADRs were predicted from the FFM personality traits after statistically controlling for sociodemographic variables (age, gender and education), baseline indicators of health status (number of diagnoses and medicines taken, body mass index and blood pressure), and the change in health status between the two measurements.ResultsThe results of a hierarchical binary logistic regression analysis showed that participants who reported the development of ADRs between the two measurements had higher levels of conscientiousness, were more likely to be women, were taking more medicines at baseline and had a higher increase in the number of medicines taken during the study period than participants who did not report any ADRs at either time point (all p values <0.05). Higher neuroticism (p=0.067) and a higher number of diagnosed diseases at baseline (p=0.053) also made marginal contributions to predicting the development of ADRs.ConclusionsThis study shows for the first time that higher levels of conscientiousness and neuroticism are associated with reporting the development of ADRs.

Cortical morphometry of the five-factor model of personality: Findings from the Human Connectome Project full sample

This study is a conceptual replication of an existing large study (N = 507) on the surface-based morphometric correlates of Five-Factor Model (FFM) personality traits. Using another large sample drawn from the same population (N = 597), results were aggregated from both samples (N = 1104), providing the largest investigation into the neuroanatomical correlates of FFM personality traits to date. Multiple clusters of significant brain by personality associations were found in the aggregate sample, including one for Openness with cortical thickness in the left and right dorsolateral prefrontal cortex (DLPFC), one for Agreeableness with thickness in the left DLPFC, and one for Agreeableness with area and volume in the right DLPFC. Clusters were also found for Neuroticism with cortical surface area in the right DLPFC, for Neuroticism with cortical thickness in the DLPFC and medial prefrontal cortex, and for Neuroticism with area and volume in the cuneus. While many regions found in the prior study were confirmed in the new and full samples, others were not, highlighting the challenges in replicating even high-quality, well-powered studies. As a whole, the current results provide the strongest evidence to date on the neuroanatomical correlates of personality.

No evidence for morphometric associations of the amygdala and hippocampus with the five-factor model personality traits

Despite the important functional role of the amygdala and hippocampus in socioemotional functioning, there have been limited adequately powered studies testing how the structure of these regions relates to putatively relevant personality traits such as neuroticism. Additionally, recent advances in MRI analysis methods provide unprecedented accuracy in measuring these structures and enable segmentation into their substructures. Using the new FreeSurfer amygdala and hippocampus segmentation pipelines with the full Human Connectome Project sample (N = 1105), the current study investigated whether the morphometry of these structures is associated with the five-factor model (FFM) personality traits in a sample of relatively healthy young adults. Drawing from prior findings, the following hypotheses were tested: 1) amygdala and hippocampus gray matter volume would be associated with neuroticism, 2) CA2/3 and dentate gyrus would account for the relationship of the hippocampus with neuroticism, and 3) amygdala gray matter volume would be inversely associated with extraversion. Exploratory analyses were conducted investigating potential associations between all of the FFM traits and the structure of the hippocampus and amygdala and their subregions. Despite some previous positive findings of whole amygdala and hippocampus with personality traits and related psychopathology (e.g., depression), the current results indicated no relationships between the any of the brain regions and the FFM personality traits. Given the large sample and utilization of sophisticated analytic methodology, the current study suggests no association of amygdala and hippocampus morphometry with major domains of personality.

Personality predictors of anger. The role of FFM traits, shyness, and self-esteem

The present study was designed to verify hypothesized predictor effects for five anger-related variables, i.e. trait anger, anger expression-out, anger expression-in, anger control-out, and anger-control-in. A sample of 138 students completed measures for FFM personality traits (NEO-FFI), self-esteem (SES), shyness (RCBS), and anger (STAXI-2). The study confirmed the effects of neuroticism and agreeableness as being the chief personality predictors of anger; however, for the domain of anger expression-in, an unexpected role of extraversion was revealed. Furthermore, introducing self-esteem and shyness changed some effects of FFM traits. Entering self-esteem as an additional predictor improved the predictability of anger control-in. Additionally, a mediation effect of shyness was revealed for the relation between extraversion and anger expression-in.

Axis I Disorders

The purpose of this chapter is to summarize and discuss the complex relationship between Five Factor Model (FFM) personality traits and clinical (Axis I) psychopathology, including depressive, bipolar, anxiety, obsessive–compulsive, eating, schizophrenia and psychotic, trauma and stress-related, and substance use disorders. Considered herein will be the alternative forms of relationship, including vulnerability, common cause, pathoplasty, complication/scar, and spectrum. This chapter will highlight the necessity for well-designed, longitudinal studies aimed at elucidating the complex relationships between the FFM and clinical disorders. Consistent research supports Neuroticism as a vulnerability factor to certain disorders, even sharing genetic etiology. However, there are also important contributions for each of the other four domains. The majority of this research is in the area of mood and anxiety disorders. Expanding these studies to include other forms of psychopathology could help identify common personality vulnerabilities to psychopathology, as well as unique predictors of certain constellations of symptoms.