Pessimistic expectations and poorer experiences: The role of (low) extraversion in anticipated and experienced enjoyment of social interaction

Could social support mediate the relationship between personality trait patterns and mental health in Chinese older adults: a nationwide cross-sectional study conducted in 2022

OBJECTIVES

This study aims to examine the personality trait patterns of older adults, investigate the influence of personality traits on their mental health, and explore the mediating role of social support in the relationship among personality trait patterns, personality traits and mental health.

METHODS

This study utilized a cross-sectional design, with 4,197 participants from the psychology and behavior investigation of Chinese residents in 2022 (PBICR2022). Latent profile analysis (LPA) was conducted to identify distinct personality profiles, and multiple linear regression and mediation analyses were performed to examine the relationships among personality trait patterns, personality traits, social support, and mental health.

RESULTS

The LPA identified four distinct personality profiles among older adults. Multiple linear regression revealed that Extraversion, Agreeableness, Conscientiousness, and Openness were positively associated with better mental health, whereas Neuroticism was negatively associated with mental health. Social support was found to partially mediate the effects of Extraversion, Agreeableness, Conscientiousness, Neuroticism, Agreeable-Conscientious Personality and Extraverted-Low Neuroticism Personality on mental health and to fully mediate the effect of Openness and Extraverted-Conscientious Personality.

LIMITATIONS

The study's cross-sectional design limits the ability to draw causal inferences about the relationships among personality traits, social support, and mental health. Additionally, the reliance on self-reported measures may introduce bias.

CONCLUSIONS

This study demonstrated that personality traits and social support are crucial determinants of mental health in older adults. Social support plays a significant mediating role, suggesting that interventions aimed at enhancing social networks could be particularly effective in improving mental health for older adults.

Misremembering Solitude: The Role of Personality and Cultural Self-Concepts in Shaping Discrepancies Between Recalled and Concurrent Affect in Solitude

BACKGROUND

Affect recall is key to psychological assessment and decision-making. However, self-concepts (self-beliefs) may bias retrospective affect reports such that they deviate from lived experiences. Does this experience-memory gap apply to solitude experiences? We hypothesized that individuals misremember how they feel overall and when in solitude, in line with self-concepts of introversion, self-determined/not-self-determined solitude motivations, and independent/interdependent self-construal. A pilot study comparing retrospective to daily affect reports captured over 2 weeks (N = 104 UK university students) provided preliminary evidence of introversion and not-self-determined solitude shaping affect recall.

METHODS

In the main pre-registered study, participants aged 18-49 in the UK (N = 160) and Hong Kong (N = 159) reported their momentary affective states and social situations 5 times per day over 7 days, then recalled how they felt over the week.

RESULTS AND DISCUSSION

Individuals higher in self-determined solitude were more prone to retrospectively overestimate their high- and low-arousal positive affect in solitude and showed less overestimation/more underestimation of negative affect in solitude. Higher not-self-determined solitude was associated with overestimating loneliness, and higher interdependent self-construal with overestimating loneliness and energy levels, in solitude. Comparisons based on residence/ethnicity suggest culture influences solitude-seeking and affective memory. Implications for well-being and affect measurement are discussed.

Relationships between personality, emotional well-being, self-efficacy and weight management among adults with type 2 diabetes: Results from a cross-sectional survey

The objective of this study was to examine the associations between personality, general and diabetes-specific well-being and self-efficacy, and weight management indicators, among adults with type 2 diabetes. In addition, to examine whether personality provides incremental explanation of variance in weight management indicators. Australian adults with type 2 diabetes (N = 270; 56% women; age: 61±12 years) were recruited via the national diabetes registry. An online survey included measures of: personality (HEXACO-PI-R), weight management indicators (physical activity, healthy diet, body mass index [BMI]), general well-being (WHO-5), general self-efficacy (GSE), diabetes distress (DDS) and diabetes self-efficacy (DMSES). Analyses included bivariate correlations and linear regression, adjusted for demographic, clinical, and psychological variables. All six personality domains showed significant correlation with at least one weight management indicator: physical activity with extraversion (r = .28), conscientiousness (r = .18) and openness (r = .19); healthy diet with honesty-humility (r = .19), extraversion (r = .24), and agreeableness (r = .14); and BMI with emotionality (r = .20) and extraversion (r = -.20). The strongest associations with general and diabetes-specific well-being and self-efficacy were apparent for extraversion, emotionality and conscientiousness (range: r = -.47-.66). Beyond covariates, personality domains explained additional variance for physical activity (Adjusted R2 = .31, R2 difference = .03, p = .03; openness: β = .16, p = .02, emotionality: β = .15, p = .04) and healthy diet (Adjusted R2 = .19, R2 difference = .03, p = .02; honesty-humility: β = .20, p = .002, extraversion: β = .19, p = .04) but not BMI. This study shows that personality is associated with weight management indicators and psychological factors among adults with type 2 diabetes. Further research is needed, including objective measurement of weight management indictors, to examine how personality influences the experience of type 2 diabetes.

The role of personality traits in mediating the relation between fear of negative evaluation and social interaction anxiety

Introduction

Social interaction anxiety and fear of negative evaluation have many maladaptive outcomes and, in order to counteract their effects, it is essential to identify those psychological or social factors that make people vulnerable to them. One of these factors is the individual's personality structure: some personality traits increase the individuals' vulnerability to symptoms of social anxiety, while others protect them.

Methods

The aim of this paper is to analyse the role of HEXACO personality traits in mediating the relationship between fear of negative evaluation and social anxiety, in a sample of 352 cadets from the Land Forces Academy of Sibiu. The relationships between these concepts were analysed using structural equation modeling (SEM) in several hypothetical models, two of which were ultimately validated.

Results

In the first model, the fear of negative evaluation has an indirect effect on social interaction anxiety through the mediation of extraversion, conscientiousness, and altruism, separately. Furthermore, extraversion, conscientiousness, and altruism play a serial mediating role in the association between the fear of negative evaluation and social interaction anxiety. In the second model, the fear of negative evaluation has an indirect effect on social interaction anxiety through the mediation of social boldness, liveliness, and organization, separately, but not through altruism. Social boldness, liveliness, and organization played a serial mediating role in the relationship between the two constructs, while altruism moderated the relationship between liveliness, organization, and social interaction anxiety.

Discussion

Analysing the relationship between the individuals' personality traits, social anxiety, and fear of negative evaluation facilitated the identification of ways to cultivate desirable behaviours in social environments typified by compliance, discipline, uniformity, and rigor.

Are social support, loneliness, and social connection differentially associated with happiness across levels of introversion-extraversion?

This study examines whether extraversion moderates the association between subjective happiness and measures of social connectedness using data from Canadian residents, aged 16+, recruited online during the third wave of the COVID-19 pandemic (21 April 2021-1 June 2021). To accomplish this aim we tested the moderating effect of extraversion scores on the association between Subjective Happiness scores and several social health measures: Perceived Social Support, Loneliness, social network size, and time with friends. Among 949 participants, results show that lower social loneliness (p < .001) and higher social support from friends (p = .001) and from family (p = .007) was more strongly correlated with subjective happiness for people with low extraversion compared to those with high extroversion. Anti-loneliness interventions should consider the need to promote social connections among individuals across the introversion-extraversion continuum.

Scenario-specific aberrations of social reward processing in dimensional schizotypy and psychopathy

The feelings of reward associated with social interaction help to motivate social behaviour and influence preferences for different types of social contact. In two studies conducted in a general population sample, we investigated self-reported and experimentally-assessed social reward processing in personality spectra with prominent interpersonal features, namely schizotypy and psychopathy. Study 1 (n = 154) measured social reward processing using the Social Reward Questionnaire, and a modified version of a Monetary and Social Incentive Delay Task. Study 2 (n = 42; a subsample of Study 1) investigated social reward processing using a Social Reward Subtype Incentive Delay Task. Our results show that schizotypy (specifically Cognitive-Perceptual dimension) and psychopathy (specifically Lifestyle dimension) are associated with diverging responses to social scenarios involving large gatherings or meeting new people (Sociability), with reduced processing in schizotypy and heightened processing in psychopathy. No difference, however, occurred for other social scenarios-with similar patterns of increased antisocial (Negative Social Potency) and reduced prosocial (Admiration, Sociability) reward processing across schizotypy and psychopathy dimensions. Our findings contribute new knowledge on social reward processing within these personality spectra and, with the important exception of Sociability, highlight potentially converging patterns of social reward processing in association with schizotypy and psychopathy.

Undersociality: miscalibrated social cognition can inhibit social connection

A person's well-being depends heavily on forming and maintaining positive relationships, but people can be reluctant to connect in ways that would create or strengthen relationships. Emerging research suggests that miscalibrated social cognition may create psychological barriers to connecting with others more often. Specifically, people may underestimate how positively others will respond to their own sociality across a variety of social actions, including engaging in conversation, expressing appreciation, and performing acts of kindness. We suggest that these miscalibrated expectations are created and maintained by at least three mechanisms: differential construal, uncertain responsiveness, and asymmetric learning. Underestimating the positive consequences of social engagement could make people less social than would be optimal for both their own and others' well-being.

Personality, Attitudes, and Behaviors Predicting Perceived Benefit in Online Support Groups for Caregivers: A Mixed-Methods Study (Preprint)

Background

Online support groups (OSGs) are distance-delivered, easily accessible health interventions offering emotional, informational, and experience-based support and companionship or network support for caregivers managing chronic mental and physical health conditions.

Objective

This study aimed to examine the relative contribution of extraversion, agreeableness, neuroticism, positive attitudes toward OSGs on social networking sites, and typical past OSG use patterns in predicting perceived OSG benefit in an OSG for parents and caregivers of children with neurodevelopmental disorders.

Methods

A mixed methods, longitudinal design was used to collect data from 81 parents across Canada. Attitudes toward OSGs and typical OSG use patterns were assessed using the author-developed Attitudes Toward OSGs subscale (eg, “Online support groups are a place to get and give emotional support”) and Past Behaviors in OSGs subscale (eg, “How often would you typically comment on posts?”) administered at baseline—before OSG membership. The personality traits of extraversion, agreeableness, and neuroticism were assessed at baseline using the Ten-Item Personality Inventory. Perceived OSG benefit was assessed using the author-developed Perceived OSG Benefit scale (eg, “Overall, did you feel supported by other members in this group?”), administered 2 months after the initiation of OSG membership.

Results

A hierarchical regression analysis found that extraversion was the only variable that significantly predicted perceived OSG benefit (R²=0.125; P<.001).

Conclusions

The key suggestions for improving future OSGs were facilitating more in-depth, customized, and interactive content in OSGs.

Owner Personality, Owner-Dog Attachment, and Canine Demographics Influence Treatment Outcomes in Canine Behavioral Medicine Cases

Human and canine parameters can affect the development of canine behavior problems, although their influence on the dog's response to veterinary behavioral treatment remains unclear. This study aimed to investigate the possible associations between canine behavior following clinical intervention and canine demographic characteristics, owner personality and owner-dog attachment. The study included 131 dog-owner dyads who attended a veterinary behavioral service. Owners completed the C-BARQ at baseline, 3-months and 6-months, and the 10 Item Personality Inventory and Lexington Attachment to Pet Scale at baseline. Data were analyzed for the effect of clinical intervention on C-BARQ subscale scores using mixed effect models. Binary logistic regression models were used to analyze the association between behavior change and canine and owner parameters. Within 6-months of veterinary consultation, trainability increased (coefficient 0.03, p = 0.01) and chasing (coefficient −0.04, p = 0.02), separation-related behavior (coefficient −0.04, p = 0.01) and energy level (coefficient −0.04, p = 0.05) decreased. Treatment outcomes were associated with both canine and owner variables. Canine behavior at baseline was the most consistent predictor of behavior change with less desirable baseline behavior associated with greater odds of decreased problem behavior at three- and 6-months post-consultation across most C-BARQ subscales. Canine age and weight; owner conscientiousness, extraversion and openness; and owner-dog attachment were also associated with treatment outcomes for some behavioral categories. These findings could be used by veterinarians to formulate more accurate prognoses and provide owners with targeted advice to reduce the influence of background factors on the dog's response to clinical behavioral intervention.

Brain structure correlates of expected social threat and reward

Prospection (mentally simulating future events) generates emotionally-charged mental images that guide social decision-making. Positive and negative social expectancies-imagining new social interactions to be rewarding versus threatening-are core components of social approach and avoidance motivation, respectively. Interindividual differences in such positive and negative future-related cognitions may be underpinned by distinct neuroanatomical substrates. Here, we asked 100 healthy adults to vividly imagine themselves in a novel self-relevant event that was ambiguous with regards to possible social acceptance or rejection. During this task we measured participants' expectancies for social reward (anticipated feelings of social connection) or threat (anticipated feelings of rejection). On a separate day they underwent structural MRI; voxel-based morphometry was used to explore the relation between social reward and threat expectancies and regional grey matter volumes (rGMV). Increased rGMV in key default-network regions involved in prospection, socio-emotional cognition, and subjective valuation, including ventromedial prefrontal cortex, correlated with both higher social reward and lower social threat expectancies. In contrast, social threat expectancies uniquely correlated with rGMV of regions involved in social attention (posterior superior temporal sulcus, pSTS) and interoception (somatosensory cortex). These findings provide novel insight into the neurobiology of future-oriented cognitive-affective processes critical to adaptive social functioning.

Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments

Background

Persistent pain in breast cancer survivors is common. Psychological and sleep-related factors modulate perception, interpretation and coping with pain and may contribute to the clinical phenotype. The present analysis pursued the hypothesis that breast cancer survivors form subgroups, based on psychological and sleep-related parameters that are relevant to the impact of pain on the patients’ life.

Methods

We analysed 337 women treated for breast cancer, in whom psychological and sleep-related parameters as well as parameters related to pain intensity and interference had been acquired. Data were analysed by using supervised and unsupervised machine-learning techniques (i) to detect patient subgroups based on the pattern of psychological or sleep-related parameters, (ii) to interpret the detected cluster structure and (iii) to relate this data structure to pain interference and impact on life.

Results

Artificial intelligence-based detection of data structure, implemented as self-organizing neuronal maps, identified two different clusters of patients. A smaller cluster (11.5% of the patients) had comparatively lower resilience, more depressive symptoms and lower extraversion than the other patients. In these patients, life-satisfaction, mood, and life in general were comparatively more impeded by persistent pain.

Conclusions

The results support the initial hypothesis that psychological and sleep-related parameter patterns are meaningful for subgrouping patients with respect to how persistent pain after breast cancer treatments interferes with their life. This indicates that management of pain should address more complex features than just pain intensity. Artificial intelligence is a useful tool in the identification of subgroups of patients based on psychological factors.

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Pain interference with daily life is relevant for post-surgery breast cancer patients.

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11.5% of 337 patients belonged to a subgroup with high life interference of pain.

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Life interference was not a function of pain intensity.

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Risk factors were lower resilience, more depressive symptoms and lower extraversion.

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Life-satisfaction, mood, and life in general were impeded by persistent pain.

Neural correlates of eye contact in face-to-face verbal interaction: An EEG-based study of the extraversion personality trait

The extraversion personality trait has a positive correlation with social interaction. In neuroimaging studies, investigations on extraversion in face-to-face verbal interactions are still scarce. This study presents an electroencephalography (EEG)-based investigation of the extraversion personality trait in relation to eye contact during face-to-face interactions, as this is a vital signal in social interactions. A sample of healthy male participants were selected (consisting of sixteen more extraverted and sixteen less extraverted individuals) and evaluated with the Eysenck's Personality Inventory (EPI) and Big Five Inventory (BFI) tools. EEG alpha oscillations in the occipital region were measured to investigate extraversion personality trait correlates of eye contact during a face-to-face interaction task and an eyes-open condition. The results revealed that the extraversion personality trait has a significant positive correlation with EEG alpha coherence in the occipital region, presumably due to its relationship with eye contact during the interaction task. Furthermore, the decrease in EEG alpha power during the interaction task compared to the eyes-open condition was found to be greater in the less extraverted participants; however, no significant difference was observed between the less and more extraverted participants. Overall, these findings encourage further research towards the understanding of neural mechanism correlates of the extraversion personality trait-particularly in social interaction.