Developmental trajectories of loneliness in Chinese children: Environmental and personality predictors.

BACKGROUND: This study aimed to identify the developmental trajectories of loneliness in Chinese children and examine the predictive roles of domain-specific environmental factors (i.e., family dysfunction and satisfaction of relatedness needs at school), personality factors (i.e., neuroticism and extraversion), and their interactions in these developmental trajectories. METHODS: A total of 702 Chinese children (Mage = 8.95, SD = 0.76; 54.1 % boys) participated in assessments at six time points over three years at six-month intervals. Growth mixture modeling (GMM) was used to estimate trajectory classes for loneliness, followed by multivariate logistic regression analyses exploring associations between these classes and predictors. RESULTS: GMM analyses identified three distinct trajectories of loneliness: "low-stable" (81.5 %), "moderate-increasing" (9.4 %), and "high-decreasing" (9.1 %). Multivariate logistic regression analyses revealed that family dysfunction and neuroticism served as risk factors for adverse loneliness trajectories, while satisfaction of relatedness needs at school and extraversion acted as protective factors. Furthermore, the interaction between family dysfunction and extraversion indicated that extraversion did not mitigate the adverse effects of high family dysfunction on children's loneliness, emphasizing the vital need to support positive family functioning among all children. LIMITATIONS: This study did not incorporate biological variables (e.g., genetics), which are crucial in the evolutionary theory of loneliness. CONCLUSIONS: The identification of three distinct trajectory groups of children's loneliness, along with key environmental and personality predictors, suggests that interventions should be tailored to each group's unique characteristics.

Personality traits and self-control: The moderating role of neuroticism.

Self-control is important for mental and physical health, and personality traits are vital antecedents for self-control. Previous studies suggest that conscientiousness and extraversion enhance self-control, whereas neuroticism hampers it. However, the link between personality and self-control has mostly been studied using a narrow conceptualization of self-control, as the ability to resist impulses, thus excluding initiatory self-control. Also, no studies have examined whether and how personality traits interact with one another to increase, or reduce, self-control. Data were collected on two occasions from 480 military cadets (31.04% female) to examine the relationship between the Big Five personality traits and self-control (general, inhibitory, and initiatory self-control). Furthermore, the study investigated the moderating role of neuroticism, as a trait and as individual facets, on the relationship between the other personality traits and self-control. Although neuroticism correlated negatively with all self-control dimensions, there were unique relations only with general and inhibitory self-control. Extraversion correlated positively with all self-control dimensions but was only uniquely related to initiatory self-control. Conscientiousness correlated positively with all self-control dimensions and this pattern persisted when we assessed the unique effects. Openness to experience and agreeableness correlated positively with general and inhibitory self-control but had no unique effects on any of the self-control dimensions. Neuroticism negatively moderated the relationship between extraversion and both general and inhibitory self-control, and the relationship between conscientiousness and both general and initiatory self-control. The facet-level analysis confirmed the general patterns and provided further detail on which facets of neuroticism were the most influential as moderators. In conclusion, the study highlights the critical role of different types of self-control, and that neuroticism plays a cardinal role for the effects of conscientiousness and extraversion on self-control.

AI can see you: Machiavellianism and extraversion are reflected in eye-movements.

INTRODUCTION: Recent studies showed an association between personality traits and individual patterns of visual behaviour in laboratory and other settings. The current study extends previous research by measuring multiple personality traits in natural settings; and by comparing accuracy of prediction of multiple machine learning algorithms. METHODS: Adolescent participants (N = 35) completed personality questionnaires (Big Five Inventory and Short Dark Triad Questionnaire) and visited an interactive museum while their eye movements were recorded with head-mounted eye tracking. To predict personality traits the eye-movement data was analysed using eight machine-learning methods: Random Forest, Adaboost, Naive Bayes, Support Vector Machine, Logistic Regression, k Nearest Neighbours, Decision Tree and a three-layer Perceptron. RESULTS AND DISCUSSION: Extracted eye movement features introduced to machine learning algorithms predicted personality traits with above 33% chance accuracy (34%-48%). This result is comparable to previous ecologically valid studies, but lower than in laboratory-based research. Better prediction was achieved for Machiavellianism and Extraversion compared to other traits (10 and 9 predictions above the chance level by different algorithms from different parts of the recording). Conscientiousness, Narcissism and Psychopathy were not reliably predicted from eye movements. These differences in predictability across traits might be explained by differential activation of different traits in different situations, such as new vs. familiar, exciting vs. boring, and complex vs. simple settings. In turn, different machine learning approaches seem to be better at capturing specific gaze patterns (e.g. saccades), associated with specific traits evoked by the situation. Further research is needed to gain better insights into trait-situation-algorithm interactions.

Protective and vulnerability personality traits associated with PTSD diagnosis after preterm delivery.

Giving birth prematurely is a traumatic event that has many consequences for the mother but also for her baby and their family. Studies have shown that about a quarter of these mothers will suffer from post-traumatic stress disorder (PTSD) as a result. This study aims to identify internal personality factors associated with the development of PTSD in mothers who gave birth before 33 weeks. The results revealed significant correlations between two personality dimensions (neuroticism and extraversion) and the likeliness of developing PTSD in mothers who gave birth prematurely. Neuroticism is positively liked with the disorder while extraversion is negatively correlated with it. Studies should now focus on early detection of PTSD and better interventions for these mothers.

Intrinsic functional connectivity mediates the effect of personality traits on depressive symptoms.

BACKGROUND: Personality traits have been proposed as risk factors for depressive symptoms. However, the neural mechanism behind these relationships is unclear. This study examined the possible mediating effect of resting-state functional connectivity networks on these relationships. METHODS: Data from 153 healthy Germans were obtained from the MPI-Leipzig Mind-Brain-Body: Neuroanatomy & Connectivity Protocol database. Network-based statistics were used to identify significant functional connectivity networks that were positively and negatively associated with the personality traits of neuroticism, conscientiousness, and extraversion, with and without demographical covariates. Mediation analyses were performed for each personality trait and depressive symptoms with the significant positive and negative network strengths of the respective personality traits as mediators. RESULTS: Neuroticism, conscientiousness, and extraversion were significantly correlated with depressive symptoms. Network-based statistics identified patterns of functional connectivity that were significantly associated with neuroticism and conscientiousness. After controlling for demographical covariates, significant conscientiousness-associated and extraversion-associated networks emerged. Mediation analysis concluded that only the neuroticism-positive network mediated the effect of neuroticism on depressive symptoms. When age and sex were controlled, the extraversion-positive network completely mediated the effect of extraversion on depressive symptoms. CONCLUSIONS: These findings revealed that patterns of intrinsic functional networks predict personality traits and suggest that the relationship between personality traits and depressive symptoms may in part be due to their common patterns of intrinsic functional networks.

Prospective Associations Between Personality Traits and Major Depressive Disorder Symptom Severity: The Mediating Role of Illness Representations.

Major depressive disorder (MDD) patients' personality traits and illness representations are linked to MDD severity. However, the associations between personality and illness representations in MDD and the mediating role of illness representations between personality and MDD severity have not been investigated. This study aimed to prospectively investigate the aforementioned associations and the possible mediating role of illness representations between personality and MDD severity. One hundred twenty-five patients with a MDD diagnosis, aged 48.18 ± 13.92 (84% females), participated in the study. Personality traits were measured with the Traits Personality Questionnaire at baseline. Illness representations were measured with the Illness Perception Questionnaire-Mental Health about five months later (mean = 5.08 ± 1.14 months). MDD severity was measured about 10 months after the baseline assessment (mean = 9.53 ± 2.36 months) with the Beck Depression Inventory. SPSS 29 and AMOS 27 were used to conduct correlational and parallel mediation analyses. According to the results, Neuroticism was positively and Extraversion was negatively linked to MDD severity. Negative MDD impact representations fully mediated these associations. Neuroticism and Extraversion are linked to future MDD severity through patients' representations of MDD's impact. Restructuring maladaptive representations about MDD's impact can be a promising way to reduce symptom severity in patients with high Neuroticism and low Extraversion levels.

Chronic Procrastination Among Iranians: Prevalence Estimation, Latent Profile and Network Analyses.

Procrastination is the deliberate, unjustified postponing of an intended course of action despite its costs or unfavorable effects. The present study used a self-report online survey and collected data from a large convenience sample of the general adult population (N = 2,076; females = 55.73%; Mage = 35.1 years [SD ± 12.7]) with diverse demographics. Following the ring-curve distribution, the results indicated a 15.4% prevalence rate of procrastination among the Iranian community, which was significantly higher among women and divorced individuals and lower among nomadic individuals and those with higher academic degrees. A latent profile analysis demonstrated two distinct profiles, one for procrastinators (high scores on chronic procrastination, psychological distress, neuroticism, and extraversion; and low scores on general self-efficacy, self-esteem, satisfaction with life, openness, agreeableness, and conscientiousness) and one for non-procrastinators (demonstrating a reverse pattern compared to procrastinators). Moreover, additional network analysis suggested that the examined networks were invariant across procrastination status and gender. The results indicate that procrastination differs by demographic characteristics and is associated with a unique psychological profile. However, none of the aforementioned key study variables were considered a potential vulnerability for procrastinators due to the finding that all variables were peripheral and none were central in the examined networks. Therefore, relying on the differences in mean scores on psychometric scales does not appear to be an optimal way of determining the most important variables in a therapeutic context when treating procrastination.

Predicting physical activity by the personality styles of the five-factor model.

OBJECTIVE: Low neuroticism, high extraversion, and high conscientiousness are related to physical activity (PA). We tested whether the small size and heterogeneity of these relationships result because personality traits influence one another as well as because some narrow facets rather than the broad domains contain more specific variance relevant to PA. METHOD: Participants were men and women enrolled in the University of North Carolina Alumni Heart Study who completed the Revised NEO Personality Inventory (NEO-PI-R) and reported their past month's average activity on an 8-point scale. In Study 1, we examined prospective correlations between the five NEO-PI-R domains and PA. In Studies 2 and 3, we used multinomial logistic regression to examine associations between PA and trait pair combinations (personality styles) controlling for age, sex, educational achievement, relationship status, and depression. RESULTS: Study 1 revealed that lower neuroticism (N) and agreeableness (A) and higher conscientiousness (C) predicted more PA. Taken together, Studies 2 and 3 found that the combination of high Extraversion (E) and high openness (O) was related to higher PA and that combinations of low E and high A and low E and low C were related to lower PA. Study 3, which examined the activity facet of E (E4), found that E4 is an important driver of E-PA associations. CONCLUSIONS: Personality traits do not operate in isolation. They may influence how other traits are expressed and such nonadditive effects can impact PA. Assessment of personality styles could help to identify individuals at risk for PA avoidance and may be useful for developing personalized interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exploring the retrospective and prospective associations between the big five personality traits and clinical diagnosis of angina in middle-aged and older adults.

OBJECTIVE: The goal of the present research was to test the retrospective and prospective associations between the Big Five personality traits and clinical diagnosis of angina while controlling for demographic characteristics. METHODS: Data from middle-aged and older adults from a cohort study Understanding Society: the UK Household Longitudinal Study (UKHLS) were extracted and analyzed using binary logistic regressions (N = 10,124 for the retrospective study and N = 5485 for the prospective study). Personality was measured using a self-report 15-item version of the Big Five inventory between 2011 and 2012. Angina was measured by a self-report clinical diagnosis history question in each wave from until 2019. Covariates in our models included age, sex, income (monthly), education, and marital status. RESULTS: Neuroticism was positively related to the likelihood of clinical angina diagnosis in both the retrospective (OR = 1.22, 95% C.I. [1.11, 1.34]) and the prospective (OR = 1.52, 95% C.I. [1.19, 1.94]) study whereas Extraversion had a positive association with odds of angina (OR = 1.52, 95% C.I. [1.17, 1.97]) in the prospective study only. The negative association between Openness and clinical angina diagnosis in the cross-sectional analysis is borderline significant (OR = 0.91, p = 0.048, 95% C.I. [0.83, 1.00]). CONCLUSION: Our research indicated that personality traits are associated with the risk of angina. These findings emphasize the importance of considering personality traits in understanding the etiology of angina and potentially informing personalized prevention and intervention strategies.

How HEXACO personality traits are involved in school performance of middle school adolescents (10-14 years).

This paper aimed at investigating the relationship between HEXACO personality traits and academic performance in two samples of Italian 10-14 years old middle-school adolescents (N = 714 and N = 1093) using Multilevel Mixed Models. The main results show that: 1) Conscientiousness and Openness to Experience were the most important predictors of school performance, followed by Honesty-Humility; 2) a modest effect was present also for eXtraversion and Emotionality; 3) these influences occurred net of the influence of gender and class and could be generalized to male and female adolescents across 6th, 7th and 8th grade; 5) Perfectionism, Diligence and Prudence within Conscientiousness, Inquisitiveness within Openness, and Sincerity within Honesty-Humility were the facets more correlated with school performance; 6) results were replicated in two studies. Results are discussed and conclusions are drawn.

Personality traits as predictors of recovery among patients with substance use disorder.

INTRODUCTION: Substance use disorder (SUD) is often considered a chronic illness in which prolonged recovery, in terms of abstinence, is uncommon. Personality has been found to predict recovery, but not much is known about its long-term predictive ability as the majority of previous studies have had short follow-up periods (≥ one year). The current longitudinal cohort study therefore investigated whether personality traits predict short- (STR) as well as long-term recovery (LTR) in SUD patients. METHODS: Treatment-seeking patients with SUD (n = 123) completed the NEO Personality Inventory - Revised. STR and LTR categories were defined as scoring <8 on the Alcohol Use Disorders Identification Test - C and <2 on the Drug Use Disorder Identification Test - C at the one-year and 6-8-year follow-up, respectively. Whether personality traits predicted outcome was investigated by two-tailed independent samples t-tests, α < 0.05. Additional analysis was conducted with latent growth curve model. RESULTS: Neuroticism (inversely, p = .004, d = 0.55) and Extraversion (p = .04, d = 0.38) predicted STR (n = 114). Although not significant the effect size for Conscientiousness was above the cut-off for a practical significant effect (d = 0.31). No traits predicted LTR category. Still, the effect sizes for LTR regarding Neuroticism (d = 0.36), Extraversion (d = 0.21) and Conscientiousness (d = 0.27) indicated that these traits have relevance for LTR. The latent growth curve model indicated that these traits predicted the short-term use of drugs and long-term use of alcohol in this cohort dominated by patients suffering from severe poly-SUD. CONCLUSION: Personality traits predict recovery. The effect sizes indicate that more studies with larger samples on personality traits and LTR are required to understand their possible influences on the recovery process.

Disentangling periodic and aperiodic resting EEG correlates of personality.

Previous studies of resting electroencephalography (EEG) correlates of personality traits have conflated periodic and aperiodic sources of EEG signals. Because these are associated with different underlying neural dynamics, disentangling them can avoid measurement confounds and clarify findings. In a large sample (n = 300), we investigated how disentangling these activities impacts findings related to two research programs within personality neuroscience. In Study 1 we examined associations between Extraversion and two putative markers of reward sensitivity-Left Frontal Alpha asymmetry (LFA) and Frontal-Posterior Theta (FPT). In Study 2 we used machine learning to predict personality trait scores from resting EEG. In both studies, power within each EEG frequency bin was quantified as both total power and separate contributions of periodic and aperiodic activity. In Study 1, total power LFA and FPT correlated negatively with Extraversion (r ∼ -0.14), but there was no relation when LFA and FPT were derived only from periodic activity. In Study 2, all Big Five traits could be decoded from periodic power (r ∼ 0.20), and Agreeableness could also be decoded from total power and from aperiodic indices. Taken together, these results show how separation of periodic and aperiodic activity in resting EEG may clarify findings in personality neuroscience. Disentangling these signals allows for more reliable findings relating to periodic EEG markers of personality, and highlights novel aperiodic markers to be explored in future research.

Extravert Surgical Resident Applicants Get Higher 360-Degree Evaluations From Coworkers.

INTRODUCTION: 360-degree evaluations are used as an assessment in order to identify strengths and weaknesses of, or as a continuous evaluation for, residents. The aim of this study was to investigate the relationship between personality and ratings on 360-degree evaluations among surgical residency applicants. A secondary aim was to describe the personality profile of applicants for a surgical residency position. METHODS: Doctors interviewed for a residency or locum position in general, urology, or pediatric surgery were included. Participants rated their personality on the Neutralized Big Five Inventory. A 360-degree assessment was conducted. Scores from two laparoscopic simulators were used as a measure of technical ability. Univariate analyses were used to assess the results. Student's t-test was used to compare personality and Pearson correlations between 360-degree assessment and personality. RESULTS: Fifty doctors participated: data were complete for 38. Personality profiles showed higher emotional stability, agreeableness, conscientiousness and openness ratings than the norm. Correlations revealed a significant relationship between extraversion and higher scores on the 360-degree assessments. Significant univariate correlations were found between extraversion and the 360-degree assessments, and two of the correlations held up after adjustment for multiple tests. No correlations with performance when using laparoscopic simulators were found. CONCLUSIONS: Applicants for surgical residency rated significantly higher than the norm in four personality domains. Extraversion correlated with overall higher scores in 360-degree assessments by coworkers. Higher scores were not related to objective measures of technical skill, highlighting the importance of using objective measures for assessment.

Personality traits as predictors of depression across the lifespan.

BACKGROUND: Depression is a major public health concern. A barrier for research has been the heterogeneous nature of depression, complicated by the categorical diagnosis of depression which is based on a cluster of symptoms, each with its own etiology. To address the multifactorial etiology of depression and its high comorbidity with anxiety, we aimed to examine the relations between personality traits, diverse behavioral, cognitive and physical measures, and depression and anxiety over the lifespan. METHOD: Our sample was drawn from the NKI-RS, a community-based lifespan sample (N = 1494 participants aged 6 to 85). Analyses included multivariate approach and general linear models for group comparisons and dimensional analyses, respectively. A machine learning model was trained to predict depression using many factors including personality traits. RESULTS: Depression and anxiety were both characterized by increased neuroticism and introversion, but did not differ between themselves. Comorbidity had an additive effect on personality vulnerability. Dimensionally, depression was only associated with personality in adolescence, where it was positively correlated with neuroticism, and negatively correlated with extraversion, agreeableness, and conscientiousness. The relationship between anxiety and personality changed over time, with neuroticism and conscientiousness being the most salient traits. Our machine learning model predicted depression with 70 % accuracy with neuroticism and extraversion contributing most. LIMITATIONS: Due to the cross-sectional design, conclusions cannot be drawn about causal relationships between personality and depression. CONCLUSION: These results underscore the impact of personality on depressive disorders and provide novel insights on how personality contributes to depression across the lifespan.

The roles of extraversion and neuroticism in the relationship between childhood adversity and adolescent substance misuse.

Although the influences of extraversion and neuroticism on the relationship between childhood adversity and substance misuse have been considered in adults, they are not yet clear and have not been examined among adolescent samples. This study sought to investigate the relationship between childhood adversity and adolescent substance misuse, alongside the influences of extraversion and neuroticism, using data from a longitudinal birth cohort study. Statistical analyses were performed on a longitudinal dataset provided by the Christchurch Health and Development Study (CHDS). After controlling for confounds, childhood adversity was a significant predictor of substance use disorder symptoms in adolescence. Moderation analyses showed that experiences of childhood adversity were most strongly associated with adolescent substance use disorder symptoms at higher levels of extraversion and at higher levels of neuroticism. Among adolescents who have experienced childhood adversity, extraversion and neuroticism may be risk factors for substance use disorder. By encouraging professionals to target adolescent substance misuse intervention and prevention approaches towards those who have experienced childhood adversity and are high in extraversion and/or neuroticism, these findings may help to diminish the prevalence of adolescent substance misuse and improve the health of adolescents.

Popularity at first sight: Dominant behaviours mediate the link between extraversion and popularity in face-to-face and virtual group interactions.

Although there is robust evidence that being more extraverted is related to higher popularity, only few studies have examined which actual behaviours (e.g., verbal content, body language) might explain this association. The current study examined whether observer-rated dominant behaviours (nonverbal, paraverbal, verbal, and general cues) mediate the relationship between self-rated extraversion and its facets (assertiveness, sociability, and activity) and other-rated popularity in zero-acquaintance settings. In two studies, we analysed data from face-to-face (Study 1, N = 124) and virtual (Study 2, N = 291) group interactions where participants were videotaped while performing a task and subsequently rated each other on popularity. Across studies, extraversion and the facets assertiveness and sociability were consistently associated with higher popularity, while the role of dominant behaviours differed. In Study 1, only two nonverbal behaviours, dominant gestures and upright posture, mediated the association between extraversion and popularity. In Study 2, all four types of behavioural cues mediated the association between extraversion (facets) and popularity. We discuss how these findings provide insights into the mechanisms of attaining popularity at zero acquaintance in diverse social settings.

Longitudinal relationship between psychological distress and personality traits.

Personality traits are typically assumed to predict psychological distress, with little attention paid to the potential influence of psychological distress on personality traits. Recent empirical findings, however, challenge this prevailing view by demonstrating the potential for personality traits to change and suggesting the plausible influence of chronic distress on these traits. This study aimed to examine the mutual within-person associations between psychological distress and the Big Five personality traits. The primary research question was whether a change in psychological distress is associated with a change in personality traits (and vice versa) after approximately 4 years. A nationally representative sample from Australia (N = 22,837), collected at four time points over 13 years, was used. The random-intercept cross-lagged panel model was used to partition variance into between-person and within-person components. Results showed that there was no temporal within-person association between openness and distress. Extraversion and conscientiousness were found to have bidirectional within-person relationships with distress, suggesting that increases in extraversion and conscientiousness are associated with decreases in distress over time and vice versa. Emotional stability and agreeableness showed unidirectional relationships with distress, with increased distress predicting decreased emotional stability and increased agreeableness predicting decreased distress. Therefore, except for openness, the other traits had at least one significant within-person link to psychological distress. These findings unveil a reciprocal longitudinal linkage between personality traits and psychological distress, highlighting the potential negative impact of prolonged psychological distress on the developmental trajectory of personality traits.

Valence explains how and why positive affects and negative affects correlate: A conceptual replication and extension of Diener et al.'s (1995) the personality structure of affect.

Diener et al. (1995) used a multimethod approach to test a hierarchical model of trait affect. The model suggests that specific trait affects are related to each other by two, distinct, but negatively correlated factors. We report the results of a conceptual replication study that addressed several limitations of Diener et al.'s (1995) study. We used three ethnically diverse samples which included a group of undergraduates along with both of their biological parents. As such, in terms of generalizability, we improved upon the original study which was limited to a student sample by also including middle-aged adults as targets. Most importantly, we included measures of hedonic tone to validate the interpretation of the higher-order factors as positive affect and negative affect. Also, we did not average informant ratings to model individual rating biases. Further, we used item-level indicators rather than item averages as indicators of basic affects. Our results confirm Diener et al.'s (1995) model and demonstrate that positive trait affect and negative trait affect are negatively correlated and account for the covariance among specific affects. We discuss the implications of these results in the context of personality theories that consider positive trait affect and negative trait affect as independent factors related to extraversion and neuroticism, respectively (Costa & McCrae, 1980). We argue that this model cannot account for the negative correlation between positive affect and negative affect and that further research is needed to locate affect within the Big Five model of personality. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Investigating group formation: An experiment on the distribution of extraversion in educational settings.

Group formation plays a crucial role in enhancing collaborative learning experiences. This study investigates the impact of extraversion as a criterion for group formation on collaborative learning outcomes. A total of 180 students participated in the experiment and were assigned to groups that were homogeneously or heterogeneously distributed in terms of extraversion. The groups met weekly and worked on group assignments throughout the semesters. The first hypothesis posed the outcomes to be explainable at the group-level. Surprisingly, the results show that groups with a homogeneous distribution of extraversion reported higher levels of group work satisfaction than those with a heterogeneous distribution, in contrast to the second hypothesis and the group hierarchy theory. These findings emphasize the potential of considering personality traits when forming groups and extend the existing literature on group formation. The study takes a critical stance by addressing normative definitions of leadership. Future research is suggested to further enhance collaborative learning experiences using similar interdisciplinary and experimental methods.