Resilience Phenotypes and Psychological Functioning among Individuals with Opioid Use Disorder.

BACKGROUND: Opioid use disorder (OUD) is a heterogeneous disorder. However, there is a lack of deep phenotyping investigations focusing on important psychological constructs such as resilience that may impact OUD. The present study aimed to investigate the relationship between trait resilience and the five-factor model of personality (FFM) among individuals with opioid use disorder (OUD). We also explored whether the FFM and trait resilience form specific phenotypes associated with psychological functioning. METHODS: This secondary analysis of an epigenetic study included participants of African ancestry (n = 72), an understudied population, who met DSM-5 criteria for OUD. Participants completed measures to assess personality traits, trait resilience, current and previous drug use, and psychological functioning (depression, anxiety, and stress). RESULTS: Linear regression revealed a significant relationship between resilience (CD-RISC-25 score) and the FFM, R2 = 0.56, F(5,62) = 15.7, p<.001. Further, a two-cluster classification emerged as the optimal solution from the cluster analysis. Cluster 1 (n = 33, 45.8% of the sample) showed lower resilience (CD-RISC-25 score: M = 58.6, SD = 11.2) compared to Cluster 2 (n = 35, 48.6%; CD-RISC-25 score: M = 76.1, SD = 11.9). The "High-Resilience Cluster" (Cluster 2) was characterized by higher FFM traits of: Extraversion, Openness, Agreeableness, and Conscientiousness, and lower Neuroticism versus Cluster 1. Multivariate analysis of variance revealed statistically significant differences between the two resilience clusters concerning other psychological symptoms, Λ = 0.732, F(4, 50) = 7.05, p < 0.003. CONCLUSIONS: These findings suggest associations between the FFM and trait resilience among individuals with OUD. Two distinct "resilience phenotypes" emerged, with high-resilience individuals displaying less stress, anxiety, and depressive symptoms. Results highlight the clinical importance of resilience as a potential target for intervention in people with OUD.

Empirically-identified subgroups of children with autism spectrum disorder and their response to two types of cognitive behavioral therapy.

Autism spectrum disorder (ASD) is heterogeneous and likely entails distinct phenotypes with varying etiologies. Identifying these subgroups may contribute to hypotheses about differential treatment responses. The present study aimed to discern subgroups among children with ASD and anxiety in context of the five-factor model of personality (FFM) and evaluate treatment response differences to two cognitive-behavioral therapy treatments. The present study is a secondary data analysis of children with ASD and anxiety (N=202; ages 7-13; 20.8% female) in a cognitive behavioral therapy (CBT) randomized controlled trial (Wood et al., 2020). Subgroups were identified via latent profile analysis of parent-reported FFM data. Treatment groups included standard-of-practice CBT (CC), designed for children with anxiety, and adapted CBT (BIACA), designed for children with ASD and comorbid anxiety. Five subgroups with distinct profiles were extracted. Analysis of covariance revealed CBT response was contingent on subgroup membership. Two subgroups responded better to BIACA on the primary outcome measure and a third responded better to BIACA on a peer-social adaptation measure, while a fourth subgroup responded better to CC on a school-related adaptation measure. These findings suggest that the FFM may be useful in empirically identifying subgroups of children with ASD, which could inform intervention selection decisions for children with ASD and anxiety.

Do people diagnosed with psychosis spectrum disorders share the same personality space as the general population? Big Five complemented by the proneness to psychotic-like experiences/behaviors.

OBJECTIVE: Disintegration is a recently proposed broad, trait-like reconceptualization of the proneness to psychotic-like experiences/behaviors. METHODS: We tested the assumption that the 6-factor model (Five-Factor traits plus Disintegration) was the most adequate one and that it was invariant across clinical and non-clinical populations. The clinical sample (n = 161) consisted of patients who had at least one psychotic episode, duration of illness less than 10 years, currently in remission. The general population (n = 409) was matched with the patient sample by age, gender, and education. NEO PI-R and DELTA were used to measure personality dimensions in both samples. Invariance of one to six-factor solutions was tested by Exploratory Structural Equation Modeling. RESULTS: We found that: (a) several criteria for deciding on the number of factors to retain converged to the conclusion that the assumed 6-factor model was the most adequate one, (b) the assumed factorial structure appeared to satisfy the criteria for the scalar invariance across the two samples, (c) all nine Disintegration subdimensions separated from the Big Five, forming the Disintegration factor, and (d) Disintegration was unrelated to Openness. CONCLUSION: The Big Five personality structure-complemented with disintegration-was invariant across individuals from the general population and patients with psychosis.

Dynamics of personality: The Zurich model of motivation revived, extended, and applied to personality.

Personality researchers are increasingly interested in the dynamics of personality, that is, the proximal causal mechanisms underlying personality and behavior. Here, we review the Zurich Model of Social Motivation concerning its potential to explain central aspects of personality. It is a cybernetic model that provides a nomothetic structure of the causal relationships among needs for security, arousal, and power, and uses them to explain an individual's approach-avoidance or "proximity-distance" behavior. We review core features of the model and extend them by adding features based on recent behavioral and neuroscientific evidence. We close by discussing the model considering contemporary issues in personality science such as the dynamics of personality, five-factor personality traits and states, and personality growth.

Personality Traits and Memory: A Multilevel Analysis Across 27 Countries From the Survey of Health, Ageing and Retirement in Europe.

Personality traits are associated with memory in older adulthood: Individuals higher in conscientiousness and openness and lower in neuroticism tend to perform better on memory-recall tasks. We conducted a preregistered study to replicate these associations in a large, multinational cohort and test whether the associations varied by national-level socioeconomic indicators (e.g., per capita gross domestic product). Multilevel modeling was used to analyze data from 71,566 individuals (age: M = 67.9 years, SD = 9.5; 57% women) across 26 European countries and Israel. Higher conscientiousness, openness, and extraversion and lower neuroticism were associated with better memory performance, even when analyses accounted for risk factors including diabetes, hypertension, obesity, emotional disorders, and sleeping problems. Consistent with the resource-substitution hypothesis, results showed that higher conscientiousness and agreeableness and lower neuroticism were associated with better memory in countries with lower gross domestic product. This pattern suggests that psychological (trait) resources may help compensate for country-specific disadvantaged contexts.

Personality pathways to mortality: Interleukin-6 links conscientiousness to mortality risk.

Personality is associated consistently with mortality hazards, but the physiological pathways are not yet clear. Immune system dysregulation may be one such pathway due to its role in age-related morbidity and mortality. In this preregistered study, we tested whether interleukin-6 (IL-6) and C-reactive protein (CRP) mediated the associations between personality traits and mortality hazards. The sample included 957 participants (M ± SD = 58.65 ± 11.51 years; range = 35-86 years) from the Midlife in the United States Survey that had 14 years of follow-up. Higher conscientiousness was associated with lower mortality hazards, with each one standard deviation higher conscientiousness associated with a 35% lower mortality risk. IL-6, but not CRP, partially mediated this association, with IL-6 accounting for 18% of this association in the fully adjusted model. While there was initial evidence that the biomarkers mediated both neuroticism and agreeableness and mortality risk, the indirect effects were not significant when controlling for the sociodemographic variables. Taken together, higher conscientiousness may lead to a longer life partially as a result of lower IL-6. This work highlights the importance of biological pathways that link personality to future mortality risk.

[Relationship between the five-factor model of personality traits and self-management attitude of patients with type 2 diabetes].

OBJECTIVE: To explore the correlation between different personality characteristics and self-management attitude such as medication, exercise and diet in patients with type 2 diabetes mellitus. METHODS: The patients with type 2 diabetes mellitus from 4 Community Healthcare Services and 22 affiliated community stations of Tongzhou District and Shunyi District of Beijing were selected as subjects. The Chinese big five personality inventory and the self-designed scale including the attitudes of medication, exercise and diet were used in the study. RESULTS: In this study, 642 subjects were finally included, among whom the sex ratio of male and female was basically the same, 61.21% were over 61 years old. In this study, different genders had differences in neurotic personality (P<0.05), different age groups had differences in agreeableness and openness (P<0.05), different education levels had differences in openness and extraversion (P<0.05), and different income levels had differences in agreeableness, openness and extraversion (P<0.05). The linear correlation analysis of the five-factor moldel of personality traits with medication, exercise and diet attitude showed that three items of perceived disorders of medication were positively correlated with neuroticism (r=0.125, 0.187, 0.151, P<0.05), four items of perceived disorders of exercise were positively correlated with neurotic personality (r=0.163, 0.129, 0.119, 0.104, P<0.05), and perceived benefits of exercise were positively correlated with conscientiousness (five items, r=0.156, 0.111, 0.131, 0.104, 0.131, P<0.05), agreeableness (two items, r=0.092, 0.078, P<0.05) and extraversion (four items, r=0.079, 0.122, 0.115, 0.123, P<0.05), three items of perceived disorders of diet were positively correlated with neuroticism (r=0.115, 0.137, 0.108, P<0.05), and two items of were negatively correlated with conscientiousness (r=－0.126, －0.161, P<0.05) and agreeableness (r=－0.103, －0.115, P<0.05). In the canonical correlation analysis, according to the formula combination of three groups of typical variables and canonical structure diagrams, neuroticism and agreeableness played major roles in personality traits, and items that represented "obstacles" in medication, exercise, and dietary attitudes played a major role. CONCLUSION: All the five personality traits were correlated with the self-management attitude of type 2 diabetes patients, and different personality traits have an impact on the self-management of patients with type 2 diabetes mellitus. In particular, it is of great significance to understand neuroticism for improving the mental health and quality of life of patients with type 2 diabetes mellitus. Therefore, attention should be paid to the influence of psychological factors in community management of type 2 diabetes and disease self-management, and the personalized care and health education should be carried out according to the personality traits of patients.

An Exploratory Study of Relationships Among Five-Factor Personality Measures and Forms of Gambling in Adults With and Without Probable Pathological Gambling.

The present study explored relationships between personality domains and gambling forms in individuals with and without probable pathological gambling (PPG). Associations among personality domain scores obtained from the NEO Personality Inventory-Revised, endorsements of gambling activities on the South Oaks Gambling Screen (SOGS), and PPG as determined by the SOGS were examined with bivariate and logistic regression analyses. Compared to recreational gamblers, those with PPG scored significantly higher in neuroticism and lower in agreeableness and conscientiousness. Agreeableness was inversely associated with gambling on cards, sports, bingo, stock market, dice, and skill games. Conscientiousness was inversely associated with gambling on sports and animal racing. Extraversion was positively associated with gambling on cards, dice, and stocks. Neuroticism and openness were positively associated with gambling on animal racing and stock gambling, respectively. Significant interactions indicated stronger inverse associations between agreeableness and gambling in casinos, on sports, and on skill games and stronger positive associations between openness and gambling on stocks and skill games in individuals with PPG compared to those without. The results suggest different relationships between personality domain measures and specific forms of gambling in individuals with and without PPG. Future research efforts should examine how personality factors may be used to enhance policy, prevention, and treatment efforts.

Circadian typology and the Alternative Five-Factor Model of personality.

Two studies were carried out to explore the relationship between circadian typology and the Alternative Five-Factor Model of personality. In the first study, 379 participants (232 females) were administered the reduced version of the Morningness-Eveningness Questionnaire and the Zuckerman-Kuhlman Personality Questionnaire. Evening types reported higher impulsive sensation-seeking scores than morning and intermediate types, whereas morning types scored higher than evening types on activity factor. In the second study, the association between morningness and activity personality factor was verified through the objective-actigraphic monitoring of the rest-activity cycle. Actigraphy allowed us to operationalise both circadian typology, through the computing of midpoint of sleep (early values, expressed in hours and minutes, correspond to an advanced phase of the sleep/wake cycle), and activity factor by the means of motor activity recording. Fifty-one individuals (30 females) wore an actigraph on the nondominant wrist continuously for 1 week. A negative correlation was observed between midpoint of sleep and mean diurnal motor activity, demonstrating that an early phase of the sleep/wake cycle (i.e. morningness preference) was related to higher diurnal motor activity. Assessed both subjectively and objectively, the results of both studies highlight a significant relationship between morningness and activity personality factor.

Do personality traits predict outcome of psychodynamically oriented psychosomatic inpatient treatment beyond initial symptoms?

OBJECTIVES: Whether personality characteristics have an impact on treatment outcome is an important question in psychotherapy research. One of the most common approaches for the description of personality is the five-factor model of personality. Only few studies investigated whether patient personality as measured with the NEO-Five-Factor Inventory (NEO-FFI, Costa & McCrae [1992b]. Revised NEO-PI-R and NEO-FFI. Professional manual. Odessa, FL: Psychological Assessment Recources) predicts outcome. Results were inconsistent. Studies reporting personality to be predictive of outcome did not control for baseline symptoms, while studies controlling initial symptoms could not support these findings. We hypothesized that after taking into account baseline symptoms, the NEO-FFI would not predict outcome and tested this in a large sample of inpatients at a psychosomatic clinic. DESIGN: Naturalistic, non-controlled study using patients' data for multiple regression analysis to identify predictors of outcome. METHODS: Data of 254 inpatients suffering primarily from depressive, anxiety, stress, and somatoform disorders were analysed. Personality was assessed at the beginning of therapy. For psychotherapy outcome, changes in anxiety and depression (Hospital Anxiety and Depression Scale; HADS), overall psychopathology (Symptom Checklist-90-R Global Severity Index [GSI]), and interpersonal problems (Inventory of Interpersonal Problems; IIP) were measured. RESULTS: The treatment resulted in significant decreases on all outcome measures corresponding to moderate to large effect sizes (HADS: d = 1.03; GSI: d = 0.90; IIP: d = 0.38). Consistent with our hypothesis, none of the personality domains predicted outcome when baseline symptoms were controlled for. CONCLUSIONS: Personality assessment at baseline does not seem to have an added value in the prediction of inpatient psychotherapy outcome beyond initial symptoms. PRACTITIONER POINTS: Clinical implications Personality dimensions overlap with symptomatic distress. Rather than serve as predictors of outcome, the domains tapped by the NEO-FFI reflect current psychological symptomatology in inpatients with depressive, anxiety, stress or somatoform disorders. From a clinician's point of view monitoring individual progress by using actuarial measures is more valuable than trying to predict who will benefit from treatment using personality assessments. Limitations of the study Diagnostic assessment was solely based on clinical evaluation rather than structured interviews. Twenty-five per cent of the original sample had to be excluded due to missing data. There was a focus on only one set of client characteristics (i.e., five-factor model personality traits). Assessment of personality domains in the acute phase of a mental disorder may be problematic and could have influenced findings.

The relationship between the Five-Factor Model personality traits and peptic ulcer disease in a large population-based adult sample.

The current study examined the relationship between the Five-Factor Model personality traits and physician-confirmed peptic ulcer disease (PUD) diagnosis in a large population-based adult sample, controlling for the relevant behavioral and sociodemographic factors. Personality traits were assessed by participants themselves and by knowledgeable informants using the NEO Personality Inventory-3 (NEO PI-3). When controlling for age, sex, education, and cigarette smoking, only one of the five NEO PI-3 domain scales - higher Neuroticism - and two facet scales - lower A1: Trust and higher C1: Competence - made a small, yet significant contribution (p < 0.01) to predicting PUD in logistic regression analyses. In the light of these relatively modest associations, our findings imply that it is certain behavior (such as smoking) and sociodemographic variables (such as age, gender, and education) rather than personality traits that are associated with the diagnosis of PUD at a particular point in time. Further prospective studies with a longitudinal design and multiple assessments would be needed to fully understand if the FFM personality traits serve as risk factors for the development of PUD.

Self-satisfaction described by Zuckerman's alternative five factors of personality.

BACKGROUND: This study investigates the relationships between an individual's self-satisfaction within different life areas, which correspond to Bracken's self-concept primary domains (competence, family, social, physical, emotional, and academic domains), and Zuckerman's Alternative Five-Factor Model of Personality (AFFM). It is supposed that the AFFM, as a psychobiological personality model which allows causal explanations, could provide a comprehensive insight into the nature of satisfaction with self. PARTICIPANTS AND PROCEDURE: The study included 489 adults (64% women), between 18 and 60 years old, who completed the short Self-Satisfaction Scale (SC-6) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ). Relations between personality factors and facets from the ZKA-PQ and self-satisfaction measures were analyzed using correlational and multiple regression analysis. The relationship of self-satisfaction with gender and age was also analyzed. RESULTS: Based on responses to scales, 11% to 43% of the variance in self-satisfaction responses was predicted by personality, age, and sex. Extraversion had positive predictive weights for each self-satisfaction dimension. Neuroticism had negative predictive weights which were significant except for satisfaction with family. Sensation seeking negatively predicted satisfaction with competencies, family, academic aspects, emotions, and overall satisfaction. Aggression had small negative predictor weights for satisfaction with social and academic aspects. Activity had significant positive predictor weights for competencies, academic aspects, emotions, and overall satisfaction. CONCLUSIONS: The findings suggest that personality predicts satisfaction with aspects of the self, and that the AFFM provides an adequate theoretical framework, which includes a lower level of personality traits in the explanation of the nature of a person's satisfaction, in general or related to specific life contexts.

Beyond humor styles: the nature of humor types and differences in basic personality traits from Zuckerman's Alternative Five-Factor Model.

BACKGROUND: Findings show that the complex nature of humor and its personality basis can be more comprehensively understood if humor styles are analyzed simultaneously within humor types, rather than separately. PARTICIPANTS AND PROCEDURE: Utilizing two independent samples (N1 = 253, N2 = 353) of self-report responses to the Humor Styles Questionnaire (HSQ) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire-Short Form, this paper outlines how the HSQ responses result in three humor use types following cluster analysis. Cluster differences in humor styles and personality traits were analyzed using ANOVA. RESULTS: In both samples, a humor type characteristic of individuals who scored lower in the positive and higher in the negative humor styles was revealed. People within this humor type also scored significantly higher in the personality measures of neuroticism and aggressiveness. A second humor type replicated in the two studies described individuals scoring higher for each of the four humor styles. People within this type also scored significantly higher on extraversion and sensation seeking, suggesting a need for cortical arousal. The third humor type members scored lower in each of the humor styles (apart from the affiliative humor style scores for one of the samples). This humor type requires further investigation. CONCLUSIONS: In general, humor types provide an additional understanding of humor use as people within the types differ for specific personality dimensions.

High sensitivity groups with distinct personality patterns: a person-centered perspective.

Introduction: Sensory-processing sensitivity (SPS) refers to interindividual differences in sensitivity to positive and negative environmental stimuli and reflects the concept of differential susceptibility. The Highly Sensitive Person Scale (HSPS) has been utilized to capture the multifaceted experiences of highly sensitive individuals. The scale's total score (i.e., the sum of the subfactors) is an indicator of high sensitivity. However, it cannot differentiate between the contributions of the specific subfactors. Consequently, interpreting the total score cannot help resolve the current theoretical debate about how individuals integrate the positive and negative aspects of sensitivity, whereas a multidimensional profile should be able to offer a more comprehensive understanding. Intriguingly, in variable-centered research, the subfactors' differential associations with external constructs in negative or positive trait spaces have suggested heterogeneity (i.e., interindividual differences) among highly sensitive individuals. Thus, person-centered approaches should be better suited to address this heterogeneity. Methods: To explore heterogeneity within the highly sensitive population, we conducted a three-step Latent Profile Analysis in two independent German-speaking samples (N = 1,102; N = 526). Subsequently, we employed the Five-Factor Model of personality to provide a detailed description of the latent sensitivity groups. Results: Beyond the frequently identified quantitative three-class differentiation of sensitivity groups, we obtained a four-class model that included two qualitatively different high-sensitivity groups, each displaying distinct HSPS subfactor and personality patterns that corresponded to prototypical personality profiles. Within these high sensitivity groups, (i) the Confident Sensitivity Group exhibited average Neuroticism, significantly above-average Openness, and slightly above-average Extraversion. By contrast, (ii) the Vulnerable Sensitivity Group displayed the typical personality pattern of significantly above-average Neuroticism, below-average Extraversion, and slightly above-average Openness. Personality analyses revealed that features such as passiveness, internalizing tendencies, giftedness, and aesthetics, often commonly ascribed to all highly sensitive individuals, are features that differ across distinct sensitivity groups. Discussion: To avoid over- or underestimating sensitivity effects, future research should consider these interindividual differences in highly sensitive individuals. For instance, studies could focus on the different associations of sensitivity groups with abilities, health aspects, emotion regulation and intervention outcomes, taking into account the different environmental factors that shape the type of sensitivity.

The Development of the Five-Factor Schizoid Inventory.

The current study sought to provide evidence for a measure of schizoid personality disorder (SZD PD) traits using the Five-Factor Model framework of personality. In the first study, undergraduate participants (n = 496) completed the Five-Factor Schizoid Inventory (FFZI) and other self-report measures. The first half of the sample was used to develop the FFZI, while the second half was used to validate it. The FFZI demonstrated excellent internal consistency, convergent validity with measures of SZD PD and hypothesized IPIP-NEO facets, and discriminant validity with other PDs and non-hypothesized IPIP-NEO facets. The second study recruited MTurk participants (n = 181) and demonstrated preliminary support for the reliability and validity of the FFZI in an online, community sample. Ultimately, these data suggest that the FFZI is a useful measure of SZD PD and provide further evidence that SZD PD can be conceptualized as a maladaptive extension of introversion traits.

Analysis of the Relationship between Higher-Order Factor Structure of Personality Disorders and the Five-Factor Model of Personality.

The growing body of evidence on the dimensional classification of personality disorders (PD) has resulted in its acceptance in the ICD-11 classification, which abolished categories and retains only a general description of PD. Specifying the type of PD is optional, and the suggested domains represent maladaptive variants of the five-factor model of personality (FFM). The aim of our study was to explore the existence of a joint structure between maladaptive and normal personality traits, and to investigate how these structures are integrated. The study included 223 patients who had been diagnosed with PD and completed the Structured Clinical Interview for DSM-5 Personality Disorders and the NEO Personality Inventory-Revised (NEO-PI-R). To determine the degree of overlap between PD domains and NEO PI-R scales, a canonical analysis of covariance was conducted. Our findings showed a relationship between the internalizing PD spectrum (consisting of avoidant, dependent, and borderline traits with detached and anankastic traits) and high neuroticism, low conscientiousness, and moderately low agreeableness and extroversion, suggesting the existence of a broad personality disorder factor. However, the internalizing dimensions exhibited a more pronounced effect within this construct. Furthermore, we identified a second function that demonstrated a link between the externalizing PD spectrum (including narcissistic, histrionic, and antisocial traits) and high extraversion, high openness, and low agreeableness, suggesting the existence of an externalizing factor. Overall, our findings provide evidence for a joint structure of maladaptive and normal personality traits in a sample of personality disorders and emphasize the importance of integrating the FFM model in PD evaluation in clinical practice, suggesting that differentiating between major subgroups could assist in adjusting therapeutic approaches.

Predicting Personality and Psychological Distress Using Natural Language Processing: A Study Protocol.

Background: Self-report multiple choice questionnaires have been widely utilized to quantitatively measure one's personality and psychological constructs. Despite several strengths (e.g., brevity and utility), self-report multiple choice questionnaires have considerable limitations in nature. With the rise of machine learning (ML) and Natural language processing (NLP), researchers in the field of psychology are widely adopting NLP to assess psychological construct to predict human behaviors. However, there is a lack of connections between the work being performed in computer science and that of psychology due to small data sets and unvalidated modeling practices. Aims: The current article introduces the study method and procedure of phase II which includes the interview questions for the five-factor model (FFM) of personality developed in phase I. This study aims to develop the interview (semi-structured) and open-ended questions for the FFM-based personality assessments, specifically designed with experts in the field of clinical and personality psychology (phase 1), and to collect the personality-related text data using the interview questions and self-report measures on personality and psychological distress (phase 2). The purpose of the study includes examining the relationship between natural language data obtained from the interview questions, measuring the FFM personality constructs, and psychological distress to demonstrate the validity of the natural language-based personality prediction. Methods: Phase I (pilot) study was conducted to fifty-nine native Korean adults to acquire the personality-related text data from the interview (semi-structured) and open-ended questions based on the FFM of personality. The interview questions were revised and finalized with the feedback from the external expert committee, consisting of personality and clinical psychologists. Based on the established interview questions, a total of 300 Korean adults will be recruited using a convenience sampling method via online survey. The text data collected from interviews will be analyzed using the natural language processing. The results of the online survey including demographic data, depression, anxiety, and personality inventories will be analyzed together in the model to predict individuals' FFM of personality and the level of psychological distress (phase 2).

Drinking Patterns of Post-Deployment Veterans: The Role of Personality, Negative Urgency, and Posttraumatic Stress.

Rates of posttraumatic stress disorder (PTSD) and alcohol misuse are known to be high among post-deployment Veterans. Previous research has found that personality factors may be relevant predictors of post-deployment drinking, yet results have been inconsistent and may be influenced by the selection of drinking outcome. This study aimed to examine relations between PTSD, negative urgency, and the five factor models of personality with multiple alcohol consumption patterns, including maximum drinks in a day, number of binge drinking episodes, at-risk drinking, and average weekly drinks in a sample of 397 Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn (OEF/OIF/OND) Veterans. The pattern of results suggested that the association between personality, PTSD, and drinking may depend on which drinking outcome is selected. For example, maximum drinks in a day was significantly associated with younger age, male gender, low agreeableness, and an interaction between negative urgency and PTSD, whereas number of binge drinking days was significantly associated with younger age, extraversion, low agreeableness, and negative urgency. This study highlights the heterogeneity of drinking patterns among Veterans and the need for careful consideration and transparency of outcomes selection in alcohol research.

The five factor model of personality and sense of coherence: A meta-analysis.

The aim of the study was to evaluate the relation between the big five personality traits and sense of coherence. Data for the meta-analysis were collected from 19 studies which included 24 independent samples, 133 effect sizes, and 19,960 participants. Lower neuroticism and higher extraversion, openness to experience, agreeableness, and conscientiousness were associated with total sense of coherence as well as comprehensibility, manageability, meaningfulness, and reflection dimensions. Personality traits were not linked to balance. There were no moderating effects on these relationships. The study extends current knowledge on the associations between personality traits and sense of coherence.

The Role of Violent Video Game Exposure, Personality, and Deviant Peers in Aggressive Behaviors Among Adolescents: A Two-Wave Longitudinal Study.

The impact of violent video game exposure (VVGE) on aggressive behaviors has been extensively explored, but still remains controversial. Although some studies have shown slight detrimental short-term effects of VVGE, other studies have failed to find any consequence. In addition, the existence of long-lasting effects on aggressiveness, or their impact on adolescents, are still not well established. One limitation of most of these studies is that they do not control for other important risk variables for aggressive behaviors, such as personality and deviant peers, nor have they investigated the possible moderation role of these risk factors in the link between VVGE and aggression. Therefore, the main aim was to examine the additive and interactive role of VVGE, personality, and deviant peers in adolescent aggressive behaviors cross-sectionally and longitudinally. Many regression analyses and a cross-lagged autoregressive model were carried out. At both waves, aggressive behavior was predicted by having deviant peers and specific personality traits, especially low agreeableness. VVGE also presented a slight but significant effect at both waves, but it became nonsignificant when controlling for other variables. No long-term effects on the relation between VVGE and aggressive behaviors were found. Some moderation effects were consistently found at both waves: when participants reported having more deviant peers, the effects of VVGE and low agreeableness on aggressive behaviors significantly increased. These findings suggest that multiple biopsychosocial variables and their complex interplay need to be examined to gain a better understanding of the origin and expression of aggressive behavior.