PERSONALITY AND DEPRESSIVE SYMPTOMS: INDIVIDUAL PARTICIPANT META-ANALYSIS OF 10 COHORT STUDIES

Distinct personality profiles associated with disease risk and diagnostic status in eating disorders

BACKGROUND

Personality traits have been associated with eating disorders (EDs) and comorbidities. However, it is unclear which personality profiles are premorbid risk rather than diagnostic markers.

METHODS

We explored associations between personality and ED-related mental health symptoms using canonical correlation analyses. We investigated personality risk profiles in a longitudinal sample, associating personality at age 14 with onset of mental health symptoms at ages 16 or 19. Diagnostic markers were identified in a sample of young adults with anorexia nervosa (AN, n = 58) or bulimia nervosa (BN, n = 63) and healthy controls (n = 47).

RESULTS

Two significant premorbid risk profiles were identified, successively explaining 7.93 % and 5.60 % of shared variance (Rc2). The first combined neuroticism (canonical loading, rs = 0.68), openness (rs = 0.32), impulsivity (rs = 0.29), and conscientiousness (rs = 0.27), with future onset of anxiety symptoms (rs = 0.87) and dieting (rs = 0.58). The other, combined lower agreeableness (rs = -0.60) and lower anxiety sensitivity (rs = -0.47), with future deliberate self-harm (rs = 0.76) and purging (rs = 0.55). Personality profiles associated with "core psychopathology" in both AN (Rc2 = 80.56 %) and BN diagnoses (Rc2 = 64.38 %) comprised hopelessness (rs = 0.95, 0.87) and neuroticism (rs = 0.93, 0.94). For BN, this profile also included impulsivity (rs = 0.60). Additionally, extraversion (rs = 0.41) was associated with lower depressive risk in BN.

LIMITATIONS

The samples were not ethnically diverse. The clinical cohort included only females. There was non-random attrition in the longitudinal sample.

CONCLUSIONS

The results suggest neuroticism and impulsivity as risk and diagnostic markers for EDs, with neuroticism and hopelessness as shared diagnostic markers. They may inform the design of more personalised prevention and intervention strategies.

Depression and Personality Traits Across Adolescence-Within-Person Analyses of a Birth Cohort

Depressive symptoms and personality traits covary in adolescents, but our understanding of the nature of this relation is limited. Whereas a predisposition explanation posits that specific personality traits increase the vulnerability for developing depression, a scar explanation proposes that depression may alter premorbid personality. Attempts to test these explanatory models have relied on analyses that conflate within-person changes and between-person differences, which limits the implications that can be drawn. Moreover, research on the early adolescent years is lacking. The present study therefore examined within-person associations between depressive symptoms and Big Five personality traits across ages 10 to 16. Children (n = 817; 49.9% boys) and parents from two birth cohorts in Trondheim, Norway, were assessed biennially with clinical interviews capturing symptoms of major depressive disorder and dysthymia, and self-reported Big Five personality traits. Analyses were conducted using a random intercept cross-lagged panel model, which accounts for all unmeasured time-invariant confounding effects. Increased Neuroticism predicted an increased number of depressive symptoms-and increased depressive symptoms predicted increased Neuroticism-across ages 10 to 14. Moreover, increased depressive symptoms forecast reduced Extraversion across ages 10 to 16, and reduced Conscientiousness from ages 12 to 14. Increases in Neuroticism may contribute to the development of depressive symptoms-in line with the predisposition model. As regards the scar model, depression may have an even wider impact on personality traits: increasing Neuroticism and reducing Extraversion and Conscientiousness. These effects may already be present in the earliest adolescent years.

The bidirectional relationships of optimism and pessimism with depressive symptoms in adulthood - A 15-year follow-up study from Northern Finland Birth Cohorts

BACKGROUND

Low optimism and high pessimism have predicted depressive symptoms in several studies, but the associations in the other direction, from depressive symptoms to future optimism and pessimism, have been unexplored. We examined bidirectional associations of optimism and pessimism with depressive symptoms in adulthood.

METHODS

A population-based sample of 4011 Finnish adults (55 % women) was analyzed with a 15-year prospective follow-up period from age 31 to age 46. Optimism and pessimism were measured with the Life Orientation Test-Revised, and depressive symptoms were measured with the Symptom Checklist-25. Temporal associations were investigated with cross-lagged panel models.

RESULTS

According to the model fit indices (RMSEA < 0.04, CFI ≥ 0.97) optimism and pessimism had bidirectional relationships with depressive symptoms: optimism predicted lower depressive symptoms (β = -0.09, p < .001), and depressive symptoms predicted lower optimism (β = -0.10, p < .001) in the follow-up. Also, pessimism predicted higher depressive symptoms (β = 0.08, p < .001), and depressive symptoms predicted higher pessimism (β = 0.09, p < .001) in the follow-up. In the participants with clinically high depressive symptoms at age 31, the predictive associations from optimism and pessimism to depressive symptoms remained, but associations in the other direction were attenuated.

LIMITATIONS

The follow-up study included only two time points with a 15-year time gap, which does not consider the possible fluctuation in the study variables between the measured times.

CONCLUSION

Dispositional optimism and pessimism may have bidirectional relationships with depressive symptoms in adulthood when the baseline depressive symptoms are below the clinical level.

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.

The relationship of intimate partner violence on depression: the mediating role of perceived social support and the moderating role of the Big Five personality

Introduction

This study aimed to explore the influence of Intimate Partner Violence (IPV) on depression, the mediating role of social support, and the moderating role of the Big Five personality traits in the relationship between social support and depression.

Methods

Participants were recruited from Mainland China, using a stratified random sampling and quota sampling method. From June to August 2022, a diverse group of 21,916 participants (ranging from 12 to 100 years old) completed the Intimate Partner Violence Scale, Patient Health Questionnaire, Perceived Social Support Scale, and Big Five Inventory-Short Version.

Results

IPV was significantly positively correlated with depression and significantly negatively correlated with perceived social support. Perceived social support plays a mediating role in the link between IPV and depression.

Discussion

Healthcare workers should assess social support and provide adequate care or recommendations for increasing social support when patients with IPV report depressive symptoms. Patients can be coached by professionals to improve their resiliency by developing or nurturing more optimistic personality traits.

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.

Validation of an abbreviated Big Five personality inventory at large population scale: Psychometric structure and associations with common psychiatric and neurological disorders

BACKGROUND

The five-factor model of personality, as quantified using instruments such as the Big Five Inventory, consists of broad personality domains including Extraversion, Agreeableness, Conscientiousness, Neuroticism (emotional instability), and Openness. Such instruments typically include >40 items. However, instruments with many items can be unwieldly and a cause of measurement error in clinical and cohort studies where multiple scales are sequenced. Conversely, established 5- and 10-item versions of the Big Five Inventory have poor reliability. Here, we developed and validated an abbreviated 18-item Big Five Inventory that balances efficiency, reliability and sensitivity.

METHOD

We analysed three datasets (N = 59,797, N = 21,177, and N = 87,983) from individuals who participated in the online Great British Intelligence Test (GBIT) study, a collaborative citizen science project with BBC2 Horizon. We applied factor analyses (FA), predictive normative modelling, and one-sample t-tests to validate the 18-item version of the Big Five and to investigate its associations with psychiatric and neurological conditions.

RESULTS

The 18-item version of the Big Five Inventory had higher validity and retest reliability compared to the other previously shortened versions in the literature, with comparable demographic associations to the full Big Five Inventory. It exhibited strong (i.e. large effect size) associations with psychiatric conditions, and moderate (small-medium) associations with neurological conditions. Neuroticism (emotional instability) was substantially higher in all psychiatric conditions, whereas Conscientiousness, Openness and Extraversion showed differential associations across conditions.

CONCLUSION

The newly validated 18-item version of the Big Five provides a convenient means of measuring personality traits that is suitable for deployment in a range of studies. It retains psychometric structure, retest reliability and clinical-group sensitivity, as compared to the full original scale.

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.

How big five personality traits influence information sharing on social media: A meta analysis

Research interest in information sharing behavior on social media has significantly increased over the past decade. However, empirical studies on the relationship between Big Five personality traits and information sharing behavior have yielded contradictory conclusions. We aimed to investigate how Big Five personality influences information sharing behavior on social media. This meta-analysis systematically reviewed high-quality studies indexed by web of science and CNKI from the past decade (n = 27, with 31969 samples) and performed a meta-analysis to examine the association between Big Five personality traits and information sharing behavior. The literature search was performed in September 2023. The meta-analysis results showed that extraversion (β = 0.05**) had a positive relationship with information sharing behavior on social media. Agreeableness (β = -0.06**), conscientiousness (β = -0.03**), and neuroticism (β = -0.03**) had negative relationships with information sharing behavior on social media. However, the relationship between openness and information sharing behavior was not clearly observed due to insufficient research. The meta-analysis results are made available to the scientific community to enhance research, comprehension, and utilization of social media.

A Daily Diary Investigation of the Fear of Missing Out and Diminishing Daily Emotional Well-Being: The Moderating Role of Cognitive Reappraisal

With modern societies becoming ever-increasingly interconnected due to technology and media, we have gained unprecedented access and exposure to other people's lives. This has resulted in a greater desire to constantly be socially connected with the activities of others, or the fear of missing out (FoMO). While much of the present available research has established the association between FoMO and diminished emotional well-being, little has been done to identify protective factors that can help one cope with the negative psychological consequences of FoMO. Utilizing data from a 7-day diary study of a large sample of young adults (N = 261), the current study aimed to examine the moderating role of cognitive reappraisal in attenuating diminished emotional well-being associated with FoMO. Multilevel modeling showed that cognitive reappraisal attenuated the day-to-day within-person associations between daily FoMO and indicators of daily emotional well-being such as negative affectivity, anxiety, and depressive symptoms.

Personality traits and polypharmacy: meta-analysis of five samples

OBJECTIVE

The present study examined the prospective relationship between personality traits and the risk of polypharmacy.

METHODS AND MEASURES

Participants (age range: 16-101 years; N > 15,000) were from the English Longitudinal Study of Ageing (ELSA), the Midlife in the United States Study (MIDUS), the Health and Retirement Study (HRS), the Wisconsin Longitudinal Study of Aging (WLS), and the Longitudinal Internet Studies for the Social Sciences (LISS). In each sample, personality traits and demographic factors were assessed at baseline. Number of medications was obtained from 2 to 20 years later.

RESULTS

Random-effect meta-analyses revealed that higher neuroticism was related to a higher risk of polypharmacy (Odd Ratio = 1.30; 95% CI 1.17-1.46) and excessive polypharmacy (Odd Ratio = 1.44; 95% CI 1.18-1.77) whereas higher conscientiousness (Odd Ratio = 0.84; 95% CI 0.74-0.95) and extraversion (Odd Ratio = 0.85; 95% CI 0.73-0.98) were associated with a lower risk of polypharmacy. Openness and agreeableness were unrelated to polypharmacy. Body mass index, number of chronic conditions, and depressive symptoms partially mediated the association between personality and the number of medications.

CONCLUSION

The present study provides replicable and robust evidence that neuroticism is a risk factor for simultaneous use of multiple medications, whereas conscientiousness and extraversion may play a protective role.

The sensitivity of the ICD-11 trait model to the symptoms of clinical disorders in young adults

Hierarchical psychopathology contributes to providing a broader picture of the links between emerging personality structures such as the DSM-5/ICD-11 trait models and clinical disorders. The present study aimed to predict the specific and general clinical symptoms by the less studied constructs of the ICD-11 model (negative affectivity, detachment, dissociality, disinhibition, and anankastia). Data from 642 young adults from Iran (63% female, 18-34 years) were collected by three mental symptom scales and the Personality Inventory for DSM-5 (PID-5), which was recently used to harmonize the constructs of the DSM-5 and ICD-11 trait models. Multiple linear regressions showed that the ICD-11 model significantly predicted both the specific clinical symptoms (ranging from R2 = 0.15 to 0.40) and the general factor of clinical symptoms extracted by exploratory factor analysis (R2 = 0.40, all p < 0.001). Negative affectivity was the strongest construct correlated with both the specific symptoms (ranging from β = 0.36 to 0.69) and the general symptom factor (β = 0.59, all p < 0.001). Because the ICD-11 trait model is a practical structure related to the clinical psychopathology in young adults, screening for maladaptive traits can help clinicians in case formulation for diagnosis and treatment.

Evaluating a Brief Big Five Personality Test in a Diverse Chinese Sample: The Role of Midpoint Designs and Reversely-Worded Items

Response styles present a threat to the validity of data from Likert scales. This study evaluates a brief personality test administered by interviewers to a diverse Chinese sample, focusing on two factors with direct impacts on response styles, the midpoint designs and the inclusion of reversely-worded items. We randomly assign respondents into three midpoint designs: masked midpoint, explicit midpoint and removed midpoint. Cronbach's alpha tends to be low and is not drastically affected by midpoint designs. Score reliability estimates from the removed and explicit midpoint designs are above or close to .60 along the whole score range for openness, but not the other subscales. The masked midpoint design presents some advantages in criterion relationship validity evidence based on correlations with demographic, behavioral, subjective and cognitive variables. Dropping reversely-worded items increases the estimates of Cronbach's alpha, but shows no positive effects on the criterion relationship validity. In conclusion, for interviewer-administered brief personality scales applied to Chinese respondents, masked midpoint design that aims to reduce a possible overuse of midpoint presents some advantages in the overall psychometric properties, but the inclusion of reversely-worded items shows mixed effects.

Personality dimensions, resilience, and depression during COVID-19 pandemic: A one-year longitudinal study

BACKGROUND

The onset of the COVID-19 pandemic has brought to light a significant surge in depression across diverse populations. While a considerable body of research has linked this upswing to lockdowns and restrictive measures, it is crucial to recognize that lockdowns alone cannot fully elucidate the observed increase in mental health disorders, given the vast array of individual psychological responses.

OBJECTIVE

This study aims to test e whether personality dimensions (Extroversion, Neuroticism, and Psychoticism) and resilience play a role in shielding individuals from developing depression during the COVID-19 pandemic, as observed in a sample of Brazilian adults.

METHODS

This research employed a one-year longitudinal naturalistic study involving the general population. It utilized a web-based questionnaire administered in three waves during the COVID-19 pandemic: April 2020, September 2020, and May 2021. The research protocol contains the Patient Health Questionnaire-9 - PHQ-9, the Connor-Davidson Resilience Scale - CD-RISC, and the Eysenck Personality Questionnaire Revised-Abbreviated - EPQR-A.

RESULTS

Our study encompassed 455 participants, of which 35.6 % met the criteria for depression in the first wave, and this figure decreased to 18.5 % in the second and third waves (p = 0.001). Resilience levels in the non-depressed group (consistently exhibited higher means across all three waves when compared to the depressed group (first wave: x¯= 27.98; second wave: x¯= 37.26; third wave: x¯= 36.67; p = 0.001). Furthermore, resilience exhibited an overall protective effect against depression in all waves (PR = 0.93, p = 0.000). Neuroticism and Psychoticism emerged as predictors of depression across all waves (PR = 1.346; p = 0.0001 and PR = 1.157; p = 0.030), while the Extroversion dimension showed no significant effect.

CONCLUSION

The decline in depression rates during the first year of the COVID-19 pandemic was influenced by levels of resilience, which acted as a protective factor against the development of depressive symptoms. Notably, Neuroticism and Psychoticism predicted the risk of developing depressive symptoms. Implications for practical intervention in future crisis scenarios suggest the need for public health policy programs featuring personalized interventions that prioritize enhancing resilience.

COVID-19 stressful life events and mental health: Personality and coping styles as moderators

OBJECTIVE

To examine the role of COVID-19-specific stressful life events (SLE) in predicting depression, anxiety, and life satisfaction, and if personality traits (extraversion and neuroticism), and coping styles (problem-focused coping and avoidance coping) moderated these relations.

PARTICIPANTS

Data were collected from 371 college students (Mage = 20.59; SDage = 2.58) from one large university of the Mid-Atlantic region in the U.S.

METHODS

Participants completed an online survey measuring COVID-19 related stressful life events (adapted from a tool developed to measure stressful life events during the SARS pandemic; Costa et al., 2001; Main et al., 2011), personality (the Mini-Markers; Saucier, 1994), coping styles (by using a measure developed by Aldrige-Gerry et al., 2011), depression (PHQ-9; Kroenke et al., 2011), anxiety (GAD-7; Spitzer et al., 2006), and life satisfaction (Student's Life Satisfaction Scale, Huebner, 1996) between March 27th and April 27th, 2020.

RESULTS

Path analysis results showed that extraversion and avoidance coping style moderated the effects of SLE on depression and anxiety symptoms; neuroticism and avoidance coping style moderated the relation between SLE and life satisfaction. The moderation results also differed by gender.

CONCLUSIONS

These findings indicated that the COVID-19 pandemic had deleterious effects on college students' mental health, where extraversion emerged as a protective factor, while neuroticism and avoidance coping style were risk factors. These findings underscore the importance of paying special attention to college students' mental health needs and promoting appropriate coping strategies in the light of the current pandemic.

Personality nuances and risk of dementia: Evidence from two longitudinal studies

Personality traits are broad constructs composed of nuances, operationalized by personality items, that can provide a more granular understanding of personality associations with health outcomes. This study examined the associations between personality nuances and incident dementia and evaluated whether nuances associations replicate across two samples. Health and Retirement Study (HRS, N = 11,400) participants were assessed in 2006/2008, and the English Longitudinal Study of Ageing (ELSA, N = 7453) participants were assessed in 2010/2011 on personality and covariates. Dementia incidence was tracked for 14 years in the HRS and 8 years in ELSA. In both HRS and ELSA, higher neuroticism domain and nuances (particularly nervous and worry) were related to a higher risk of incident dementia, whereas higher conscientiousness domain and nuances (particularly responsibility and organization) were associated with a lower risk of dementia. To a lesser extent, higher extraversion (active), openness (broad-minded, curious, and imaginative), and agreeableness (helpful, warm, caring, and sympathetic) nuances were associated with a lower risk of dementia, with replicable effects across the two samples. A poly-nuance score, aggregating the effects of personality items, was associated with an increased risk of incident dementia in the HRS and ELSA, with effect sizes slightly stronger than those of the personality domains. Clinical, behavioral, psychological, and genetic covariates partially accounted for these associations. The present study provides novel and replicable evidence for specific personality characteristics associated with the risk of incident dementia.

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.

Distinct associations between gratitude, self-esteem, and optimism with subjective and psychological well-being among Japanese individuals

BACKGROUND

Mounting evidence suggests that the effectiveness of positive psychology interventions is influenced by a variety of factors, including cultural context. Identifying intervention targets that can effectively contribute to improving individual well-being under these boundary conditions is a crucial step when developing viable interventions. To this end, we examined how gratitude disposition, self-esteem, and optimism relate to the subjective well-being (SWB) and psychological well-being (PWB) of Japanese individuals.

METHODS

Multivariate regression analysis was employed to quantify the unique relationships between the three potential intervention targets and both SWB and PWB, while accounting for the influence of other variables. Participants (N = 71) also engaged in a 4-week experience sampling study to explore how gratitude, self-esteem and optimism shape the link between momentary affective states in everyday life and evaluations of day satisfaction.

RESULTS

Multivariate regression analysis revealed that self-esteem was predominantly more strongly associated with SWB compared to gratitude disposition, whereas gratitude disposition was more strongly associated with the PWB dimensions, particularly personal growth, positive relations with others and purpose in life. Experience sampling data indicated that while both gratitude disposition and self-esteem moderated the association between momentary positive affect and day satisfaction evaluations, they did so in opposite ways; greater gratitude disposition strengthened the association, while greater self-esteem weakened it.

CONCLUSIONS

Overall, the current results suggest that while gratitude, self-esteem, and optimism influence individual well-being as a whole, they likely play distinct roles in facilitating SWB and PWB in the studied cohort.

Effects of parenting styles on adult personality traits, depressive trait, and brain structure

This study explored the complex triangular relationships between parenting styles, personality traits, and depressive trait in Chinese Han adults (N = 490; Mean age=24.25; 51.0% women), and examined the relationship between parenting styles and brain structure. The data indicated that depressive trait in adulthood were negatively correlated with a favorable parenting style (emotional warmth) and positively correlated with undesirable parenting styles (punishment, rejection, and overprotection/over-intervention). Additionally, depressive trait in adulthood were positively related to neuroticism and psychoticism, and negatively related to extraversion. Using a multiple parallel mediation analysis, we found that neuroticism could be worsened by undesirable parenting styles and ameliorated by favorable parenting styles, and it further mediated the relationship between parenting styles and depressive trait across all models. Psychoticism played a similar role in two models: 1) parental punishment and depressive trait and 2) parental rejection and depressive trait. Extraversion played a mediating role between the father's overprotection and depressive trait. Subgroup analysis showed that different mediating pathways existed between different sexes. In terms of brain structure, we found that gray matter volume of the right inferior frontal gyrus was negatively related to overprotection by the father and positively related to psychoticism. Our findings highlight the importance of parenting style on personality traits, depressive trait, and brain structure over the long term.

Mid-life adherence to the Dietary Approaches to Stop Hypertension (DASH) diet and late-life subjective cognitive complaints in women

INTRODUCTION

Evidence is limited on the role of mid-life Dietary Approaches to Stop Hypertension (DASH) diet in late-life subjective cognitive complaints (SCCs).

METHODS

We included 5116 women (mean age in 1985-1991: 46 years) from the New York University Women's Health Study. SCCs were assessed from 2018 to 2020 (mean age: 79 years) by a 6-item questionnaire.

RESULTS

Compared to women in the bottom quartile of the DASH scores, the odds ratio (OR) for having two or more SCCs was 0.83 (95% confidence interval: 0.70-0.99) for women in the top quartile of DASH scores at baseline (P for trend = 0.019). The association was similar with multiple imputation and inverse probability weighting to account for potential selection bias. The inverse association was stronger in women without a history of cancer (P for interaction = 0.003).

DISCUSSION

Greater adherence to the DASH diet in mid-life was associated with lower prevalence of late-life SCCs in women.

Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression

Introduction

The heterogeneity of depressive and anxiety disorders complicates clinical management as it may account for differences in trajectory and treatment response. Self-schemas, which can be determined by Self-Referential Judgements (SRJs), are heterogeneous yet stable. SRJs have been used to characterize personality in the general population and shown to be prognostic in depressive and anxiety disorders.

Methods

In this study, we used SRJs from a Self-Referential Encoding Task (SRET) to identify clusters from a clinical sample of 119 patients recruited from the Institute of Mental Health presenting with depressive or anxiety symptoms and a non-clinical sample of 115 healthy adults. The generated clusters were examined in terms of most endorsed words, cross-sample correspondence, association with depressive symptoms and the Depressive Experiences Questionnaire and diagnostic category.

Results

We identify a 5-cluster solution in each sample and a 7-cluster solution in the combined sample. When perturbed, metrics such as optimum cluster number, criterion value, likelihood, DBI and CHI remained stable and cluster centers appeared stable when using BIC or ICL as criteria. Top endorsed words in clusters were meaningful across theoretical frameworks from personality, psychodynamic concepts of relatedness and self-definition, and valence in self-referential processing. The clinical clusters were labeled "Neurotic" (C1), "Extraverted" (C2), "Anxious to please" (C3), "Self-critical" (C4), "Conscientious" (C5). The non-clinical clusters were labeled "Self-confident" (N1), "Low endorsement" (N2), "Non-neurotic" (N3), "Neurotic" (N4), "High endorsement" (N5). The combined clusters were labeled "Self-confident" (NC1), "Externalising" (NC2), "Neurotic" (NC3), "Secure" (NC4), "Low endorsement" (NC5), "High endorsement" (NC6), "Self-critical" (NC7). Cluster differences were observed in endorsement of positive and negative words, latency biases, recall biases, depressive symptoms, frequency of depressive disorders and self-criticism.

Discussion

Overall, clusters endorsing more negative words tended to endorse fewer positive words, showed more negative biases in reaction time and negative recall bias, reported more severe depressive symptoms and a higher frequency of depressive disorders and more self-criticism in the clinical population. SRJ-based clustering represents a novel transdiagnostic framework for subgrouping patients with depressive and anxiety symptoms that may support the future translation of the science of self-referential processing, personality and psychodynamic concepts of self-definition to clinical applications.

Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches

As mental health (MH) disorders become increasingly prevalent, their multifaceted symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing a risk of underdiagnosis. While machine learning (ML) has been explored to mitigate these challenges, we hypothesized that multiple data modalities support more comprehensive detection and that non-intrusive collection approaches better capture natural behaviors. To understand the current trends, we systematically reviewed 184 studies to assess feature extraction, feature fusion, and ML methodologies applied to detect MH disorders from passively sensed multimodal data, including audio and video recordings, social media, smartphones, and wearable devices. Our findings revealed varying correlations of modality-specific features in individualized contexts, potentially influenced by demographics and personalities. We also observed the growing adoption of neural network architectures for model-level fusion and as ML algorithms, which have demonstrated promising efficacy in handling high-dimensional features while modeling within and cross-modality relationships. This work provides future researchers with a clear taxonomy of methodological approaches to multimodal detection of MH disorders to inspire future methodological advancements. The comprehensive analysis also guides and supports future researchers in making informed decisions to select an optimal data source that aligns with specific use cases based on the MH disorder of interest.

Which variables moderate the relationship between depressive symptoms and global neurocognition across adulthood?

The current study examined moderators of the relationship between depressive symptoms and global neurocognition in a large non-clinical community-dwelling sample spanning adulthood. Participants comprised 5,430 individuals between the ages of 18-99 years drawn from the Virginia Cognitive Aging Project. Depressive symptoms were measured via the Center for Epidemiologic Studies-Depression scale and neurocognition was operationalized as a composite variable comprising episodic memory, spatial visualization, processing speed, and reasoning tasks. Moderator variables included physical activity, cognitive activity, education, emotional stability, and openness. Hierarchical regressions were used to examine the influence of depressive symptoms and the moderators on neurocognition. Depressive symptoms significantly predicted neurocognition. Cognitive activity, years of education, and emotional stability moderated the depression-neurocognition relationship by buffering the impact of depressive symptoms on neurocognition. Cognitive activity engagement and level of education may function as a protective influence on those with higher levels of depressive symptoms, while emotional stability may be protective for individuals with lower levels of depressive symptoms. No differences in moderation were found across three age groups representing younger, middle, and older adults. Post-hoc analyses showed years of education and openness as moderators in a subsample excluding individuals with potentially clinically meaningful levels of depressive symptoms.

Personality characteristics, not clinical symptoms, are associated with anhedonia in a community sample: A preliminary investigation

Anhedonia is a salient transdiagnostic psychiatric symptom associated with increased illness severity and chronicity. Anhedonia is also present to varying degrees in non-clinical cohorts. Here, we sought to examine factors influencing expression of anhedonia. Participants (N = 335) were recruited through the Nathan Kline Institute-Rockland Sample, an initiative to deeply phenotype a large community sample across the lifespan. Utilizing a data-driven approach, we evaluated associations between anhedonia severity, indexed by Snaith-Hamilton Pleasure Scale (SHAPS), and 20 physical, developmental, and clinical measures, including Structured Clinical Interview for DSM-IV, Beck Depression Inventory, State-Trait Anxiety Inventory, NEO Five-Factor Inventory-3 (NEO-FFI-3), BMI, Hemoglobin A1C, and demography. Using a bootstrapped AIC-based backward selection algorithm, seven variables were retained in the final model: NEO-FFI-3 agreeableness, extraversion, and openness to experience; BMI; sex; ethnicity; and race. Though median SHAPS scores were greater in participants with psychiatric diagnoses (18.5) than those without (17.0) (U = 12238.5, z = 2.473, p = 0.013), diagnosis and symptom measures were not retained as significant predictors in the final robust linear model. Participants scoring higher on agreeableness, extraversion, and openness to experience reported significantly lower anhedonia. These results demonstrate personality as a mild-to-moderate but significant driver of differences in experiencing pleasure in a community sample.

Are trajectories of personality and socioeconomic factors prospectively associated with midlife cognitive function? Findings from a 12-year longitudinal study of Mexican-origin adults

Problems with memory, executive function, and language are a significant public health concern, especially when they begin during midlife. However, there is relatively little work on risk and protective factors for cognitive function in middle adulthood. Using data from 883 Mexican-origin adults assessed up to 6 times across 12 years (Mage at Time 1 = 38.2 years; range = 27-63 years), the present study examined whether developmental trajectories (levels and slopes) of Big Five personality domains and socioeconomic factors (per capita income, economic stress) were prospectively associated with cognitive function (memory, mental status, verbal fluency) at the final assessment. We found that individuals with higher levels of, and smaller decreases in, Neuroticism had worse cognitive function 12 years later. Further, individuals with higher initial Conscientiousness had better subsequent memory, mental status, and verbal fluency, and individuals with higher Openness and Extraversion had better subsequent verbal fluency (but not memory or mental status). The trajectories of per capita income and economic stress were robustly associated with cognitive function, such that higher initial levels and greater increases in socioeconomic resources had protective associations, whereas higher levels and greater increases in economic stress had deleterious associations with cognitive function. Higher education level was associated with better cognitive function 12 years later. These findings suggest that changes in personality and socioeconomic factors across adulthood are associated with cognitive function, which may be informative for interventions to support healthier cognitive aging starting at least as early as midlife. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Machine learning-based classification of Alzheimer's disease and its at-risk states using personality traits, anxiety, and depression

BACKGROUND

Alzheimer's disease (AD) is often preceded by stages of cognitive impairment, namely subjective cognitive decline (SCD) and mild cognitive impairment (MCI). While cerebrospinal fluid (CSF) biomarkers are established predictors of AD, other non-invasive candidate predictors include personality traits, anxiety, and depression, among others. These predictors offer non-invasive assessment and exhibit changes during AD development and preclinical stages.

METHODS

In a cross-sectional design, we comparatively evaluated the predictive value of personality traits (Big Five), geriatric anxiety and depression scores, resting-state functional magnetic resonance imaging activity of the default mode network, apoliprotein E (ApoE) genotype, and CSF biomarkers (tTau, pTau181, Aβ42/40 ratio) in a multi-class support vector machine classification. Participants included 189 healthy controls (HC), 338 individuals with SCD, 132 with amnestic MCI, and 74 with mild AD from the multicenter DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE).

RESULTS

Mean predictive accuracy across all participant groups was highest when utilizing a combination of personality, depression, and anxiety scores. HC were best predicted by a feature set comprised of depression and anxiety scores and participants with AD were best predicted by a feature set containing CSF biomarkers. Classification of participants with SCD or aMCI was near chance level for all assessed feature sets.

CONCLUSION

Our results demonstrate predictive value of personality trait and state scores for AD. Importantly, CSF biomarkers, personality, depression, anxiety, and ApoE genotype show complementary value for classification of AD and its at-risk stages.

Asthma Moderates the Association between the Big Five Personality Traits and Life Satisfaction

The current study aimed to examine whether asthma moderates the association between the Big Five personality traits and life satisfaction. By analyzing data from 3934 people with asthma (40.09% males) with a mean age of 49.2 (S.D. = 16.94) years old and 22,914 people without asthma (42.9% males) with a mean age of 45.62 (S.D. = 17.25) years old using a hierarchical regression and multiple regressions, the current study found that asthma significantly moderates the link between Neuroticism and life satisfaction and Openness and life satisfaction after controlling for other covariates. Specifically, Neuroticism was negatively related to life satisfaction whereas Agreeableness, Openness, Conscientiousness, and Extraversion were positively associated with life satisfaction in people with and without asthma. However, the negative association between Neuroticism and life satisfaction and the positive association between Openness and life satisfaction were stronger in people with asthma compared to people without asthma.

Understanding the Role of Cancer Diagnosis in the Associations between Personality and Life Satisfaction

Life satisfaction refers to the degree a person enjoys their life. An integrated account of life satisfaction is discussed in the literature, which proposes that life satisfaction is made up of personality traits and areas of life satisfaction (e.g., satisfaction with health, job, and social life). In addition, disruptions in one domain (e.g., health) may disrupt the association between personality traits and life satisfaction. The current research was interested in if clinically diagnosed cancer could influence the association between the Big Five personality traits and life satisfaction. The current study analyzed data from 1214 people with a diagnosis of cancer (38.55% males) with an average age of 59.70 (S.D. = 15.53) years and 13,319 people without a cancer diagnosis (38.13% males) with an average age of 59.97 (S.D. = 11.10) years who participated in Understanding Society: the UK Household Longitudinal Study (UKHLS). For the first time, our study revealed that cancer markedly influences the relationship between Agreeableness and life satisfaction, after accounting for demographic variables. Neuroticism was negatively associated with life satisfaction in people with and without clinically diagnosed cancer, whereas Agreeableness and Extraversion were positively associated with life satisfaction in people with and without clinically diagnosed cancer. Openness and Conscientiousness were positively related to life satisfaction in people without cancer but were not significant predictors in people with cancer. Health professionals should develop strategies and interventions by fostering personality traits, including Agreeableness, Openness, Conscientiousness, and Extraversion, while reducing Neuroticism.

The interplay of personality traits, anxiety, and depression in Chinese college students: a network analysis

Background

Anxiety and depression are among the greatest contributors to the global burden of diseases. The close associations of personality traits with anxiety and depression have been widely described. However, the common practice of sum scores in previous studies limits the understanding of the fine-grained connections between different personality traits and anxiety and depression symptoms and cannot explore and compare the risk or protective effects of personality traits on anxiety and depression symptoms.

Objective

We aimed to determine the fine-grained connections between different personality traits and anxiety and depression symptoms and identify the detrimental or protective effects of different personality traits on anxiety and depression symptoms.

Methods

A total of 536 college students from China were recruited online, and the average age was 19.98 ± 1.11. The Chinese version of the Ten-Item Personality Inventory, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9 was used to investigate the personality traits and symptoms of anxiety and depression of participants after they understood the purpose and filling method of the survey and signed the informed consent. The demographic characteristics were summarized, and the scale scores were calculated. The network model of personality traits and symptoms of anxiety and depression was constructed, and bridge expected influence (BEI) was measured to evaluate the effect of personality traits on anxiety and depression. The edge accuracy and BEI stability were estimated, and the BEI difference and the edge weight difference were tested.

Results

In the network, 29 edges (indicating partial correlations between variables) bridged the personality community and the anxiety and depression community, among which the strongest correlations were extraversion-fatigue, agreeableness-suicidal ideation, conscientiousness-uncontrollable worry, neuroticism-excessive worry, neuroticism-irritability, and openness-feelings of worthlessness. Neuroticism had the highest positive BEI value (0.32), agreeableness had the highest negative BEI value (-0.27), and the BEI values of neuroticism and agreeableness were significantly different from those of most other nodes (p < 0.05).

Conclusion

There are intricate correlations between personality traits and the symptoms of anxiety and depression in college students. Neuroticism was identified as the most crucial risk trait for depression and anxiety symptoms, while agreeableness was the most central protective trait.

Personality, dietary identity, mental and sleep health in vegans and vegetarians: A preliminary cross-sectional study

Background and Aims

Plant-based diets have gained popularity over the past decade. However, research regarding mental and sleep health benefits of following plant-based diets are conflicting. As there are associations between mental/sleep health and various personality traits, and personality may differ between individuals who follow different diets, in this preliminary study, we examined the associations between mental and sleep health and (i) personality and (ii) dietary identity in individuals who follow vegan and vegetarian diets.

Methods

Cross-sectional data on sociodemographic, personality traits, dietarian identity, overall mental health, depression, anxiety, stress, and sleep quality were collected from 57 vegan/vegetarian participants between the ages of 18-40.

Results

After controlling for various sociodemographic and lifestyle factors, linear regression models revealed that (i) higher dietarian private regard was a significant predictor of better overall mental health, (ii) lower levels of extraversion and higher levels of empathy predicted depression, (iii) higher levels of neuroticism and empathy predicted anxiety, (iv) higher levels of neuroticism, dietarian centrality, and neuroticism × centrality predicted stress, (v) higher levels of conscientiousness, lower levels of dietarian centrality, but higher levels of personal motivation and dietary strictness, as well as conscientiousness × centrality, conscientiousness × personal motivation, and conscientiousness × strictness predicted better sleep quality.

Conclusions

These preliminary findings suggest that not only personality traits, but also dietary identity was indeed related to mental and sleep health in individuals who follow plant-based diets.

Effects of Neuroticism on Differences in Symptom Structure of Life Satisfaction and Depression-Anxiety among College Students: A Network Analysis

Object: Numerous studies show that depression and anxiety have an adverse effect on life satisfaction among college students. Moreover, neuroticism affects depression, anxiety, and life satisfaction. Comparing the low-neuroticism and high-neuroticism groups, the current study used network analysis to examine the relationship between depression, anxiety, and life satisfaction among college students. Methods: A sample consisted of 1233 college students from China who completed the Big Five Inventory-2 (BFI-2), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), and Satisfaction With Life Scale (SWLS).All students were divided into two groups according to levels of neuroticism. Depression-anxiety symptom networks and flow networks were formed. Results: "Insomnia" (SAS19) and "Sleep disturbance" (SDS4) are bridge symptoms of groups with varying neuroticism. In addition, compared to the group with low levels of neuroticism, the group with high levels of neuroticism showed more depression symptoms in bridge symptoms and greater global strength. Many depression-anxiety symptoms are negatively associated with life satisfaction, and "Emptiness" (SDS18) is an important symptom in the high-neuroticism group's flow network. Conclusion: This study contributes to our understanding of the connection between depression, anxiety, neuroticism, and life satisfaction. In addition, the current study identified the essential symptoms to target in depression and anxiety intervention and life satisfaction enhancement among college students.

Diabetes Moderates the Link between Personality Traits and Self-Rated Health (SRH)

OBJECTIVES

The primary objective of this study is to explore the relationship between personality traits and self-rated health (SRH) in individuals with diabetes, while also comparing these associations with a group of healthy controls.

METHODS

The data for this study were obtained from the UK Household Longitudinal Study (UKHLS), comprising a sample of 1860 diabetes patients and 12,915 healthy controls who were matched in terms of age and sex. Hierarchical linear regression was utilized to analyze the data. The analysis included demographic variables such as age, sex, monthly income, highest educational qualification, marital status, and psychological distress assessed through the GHQ-12, personality traits, including Neuroticism, Agreeableness, Openness, Conscientiousness, and Extraversion, and diabetes status (0 for diabetes patients, 1 for healthy controls) as predictors. Interactions between personality traits and diabetes status were also included as predictors, with SRH serving as the dependent variable. Additionally, separate multiple regression analyses were conducted for diabetes patients and healthy controls, incorporating demographic variables, psychological distress, and personality traits as predictors, while SRH remained the dependent variable.

RESULTS

The findings of this study indicate that diabetes significantly moderates the association between Neuroticism and SRH. Specifically, both Neuroticism and Extraversion were negatively associated with SRH, whereas Openness and Conscientiousness exhibited a positive association with SRH in healthy controls. However, among diabetes patients, only Conscientiousness showed a positive association with SRH.

CONCLUSION

Personality traits predict SRH in people with and without diabetes differently. Healthcare professionals and clinicians should try to come up with ways that improve SRH and thus better outcomes in diabetes patients based on the findings from the current study.

Self-rated health (SRH) partially mediates and associations between personality traits and life satisfaction in older adults

It is established that personality traits contribute to life satisfaction but why they are connected are far less understood. This research report tested if self-rated health (SRH) which is one's subjective ratings of their health and has a high predictivity of actual health mediates the associations between the Big Five model of personality and life satisfaction in a cohort (N = 5,845) of older adults from the UK. By using Pearson's correlation analysis and mediation analysis, the current research reported positive correlations between Agreeableness, Openness, Conscientiousness, and Extraversion, SRH, and life satisfaction. However, Neuroticism was negatively correlated with SRH and life satisfaction. The main findings were that SRH partially mediates the associations between all traits in the Big Five and life satisfaction in older adults. This study began novel exploration on if SRH could explain the connections between the Big Five and life satisfaction. Results revealed SRH could partially explain these associations in all traits. These results may offer additional support to recently developed integrated account of life satisfaction, which argues that there are no single determinants of life satisfaction. Rather, life satisfaction is made up by many factors including but not limited to personality and health.

Evaluating the role of maladaptive personality traits in schema therapy and cognitive behavioural therapy for depression

BACKGROUND

Advancements in the treatment of depression are pivotal due to high levels of non-response and relapse. This study evaluated the role of personality pathology in the treatment of depression by testing whether maladaptive personality traits (1) predict changes in depression over treatment or vice versa, (2) change themselves over treatment, (3) change differentially depending on treatment with schema therapy (ST) or cognitive behavioural therapy (CBT), and (4) moderate the effectiveness of these treatments.

METHODS

We included 193 depressed inpatients (53.4% women, Mage = 42.9, SD = 13.4) participating in an assessor-blind randomized clinical trial and receiving a 7-week course of ST or CBT. The research questions were addressed using multiple indicator latent change score models as well as multigroup structural equation models implemented in EffectLiteR.

RESULTS

Maladaptive traits did not predict changes in depressive symptoms at post-treatment, or vice versa. However, maladaptive trait domains decreased over treatment (standardized Δμ range: -0.38 to -0.89), irrespective of treatment with ST or CBT. Maladaptive traits at baseline did not moderate the effectiveness of these treatments.

CONCLUSIONS

Self-reported maladaptive personality traits can change during treatment of depression, but may have limited prognostic or prescriptive value, at least in the context of ST or CBT. These results need to be replicated using follow-up data, larger and more diverse samples, and informant-rated measures of personality pathology.

Obesity as a causal risk factor for depression: Systematic review and meta-analysis of Mendelian Randomization studies and implications for population mental health

BACKGROUND/OBJECTIVES

Obesity has been associated with elevated risk of depression. If this association is causal, the increasing obesity prevalence might lead to worsening population mental health, but the strength of the causal effect has not been systematically evaluated.

SUBJECTS/METHODS

The current study provides a systematic review and meta-analysis of studies examining associations between body mass index and depression using Mendelian randomization with multiple genetic variants as instruments for body mass index. We used this estimate to calculate the expected changes in prevalence of population psychological distress from the 1990s-2010s, which were compared with the empirically observed trends in psychological distress in the Health Survey for England (HSE) and U.S. National Health Interview Surveys (NHIS).

RESULTS

Meta-analysis of 8 Mendelian randomization studies indicated an OR = 1.33 higher depression risk associated with obesity (95% confidence interval 1.19, 1.48). Between 15% and 20% of the participants of HSE and NHIS reported at least moderate psychological distress. The increase of obesity prevalence from the 1990s-2010s in HSE and NHIS would have led to a 0.6 percentage-point increase in population psychological distress.

CONCLUSIONS

Mendelian randomization studies suggest that obesity is a causal risk factor for elevated risk of depression. The increasing obesity rates may have modestly increased the prevalence of depressive symptoms in the general population. Mendelian randomization relies on methodological assumptions that may not always hold, so other quasi-experimental methods are needed to confirm the current conclusions.

Effect of the personality traits of healthy Japanese workers on depressive symptoms and social adaptation, and on the achievement rate of exercise therapy to prevent major depression

Background

This study determined the effects of personality traits on depressive symptoms and social adaptation in healthy workers, and the effects of depressive symptoms or social adaptation before and after exercise therapy, and personality traits before exercise therapy on the achievement rates of exercise therapy aimed at preventing major depression.

Methods

Two hundred fifty healthy Japanese workers were given an eight-week walking program as exercise therapy. After excluding 35 participants who had dropped or provided incomplete information, 215 were included in the analysis. The Japanese version of the NEO five-factor inventory was used to assess participants' personality traits before the exercise therapy. Depressive symptoms were evaluated using the Japanese version of the Zung self-rating depression scale (SDS-J) and social adaptation was evaluated using the Japanese version of the social adaptation self-evaluation scale (SASS-J) before and after the exercise therapy.

Results

The SDS-J scores correlated with neuroticism and negatively correlated with extraversion, agreeableness, and conscientiousness before the exercise therapy. The SDS-J was also negatively correlated with openness in women, but not in men, while the SASS-J was associated with extraversion, openness, agreeableness, and conscientiousness, and negatively correlated with neuroticism. There was no significant change in levels of depression before and after exercise therapy; however, social adaptation increased significantly in men. No association was found between SDS-J and SASS-J scores before the exercise therapy and the achievement rate. The achievement rates of exercise therapy were negatively correlated with SDS-J or SASS-J after exercise therapy in women. The SDS-J after exercise therapy was correlated with neuroticism in men and negatively correlated with extraversion in women. The SASS-J after exercise therapy was negatively correlated with neuroticism and correlated with extraversion and openness in men. In contrast, the SASS-J after exercise therapy correlated with openness and agreeableness in women. Conscientiousness was correlated with the achievement rate of exercise therapy in men, but not with the various personality traits in women.

Conclusion

Depressive symptoms and social adaptation were differently associated with personality traits and achievement rates before and after exercise therapy. Conscientiousness before exercise therapy predicted a higher achievement rate for exercise therapy in men.

The default mode network and rumination in individuals at risk for depression

The default mode network (DMN) is a network of brain regions active during rest and self-referential thinking. Individuals with major depressive disorder (MDD) show increased or decreased DMN activity relative to controls. DMN activity has been linked to a tendency to ruminate in MDD. It is unclear if individuals who are at risk for, but who have no current or past history of depression, also show differential DMN activity associated with rumination. We investigated whether females with high levels of neuroticism with no current or lifetime mood or anxiety disorders (n = 25) show increased DMN activation, specifically when processing negative self-referential information, compared with females with average levels of neuroticism (n = 28). Participants heard criticism and praise during functional magnetic resonance imaging (MRI) scans in a 3T Siemens Prisma scanner. The at-risk group showed greater activation in two DMN regions, the medial prefrontal cortex and the inferior parietal lobule (IPL), after hearing criticism, but not praise (relative to females with average levels of neuroticism). Criticism-specific activation in the IPL was significantly correlated with rumination. Individuals at risk for depression may, therefore, have an underlying neurocognitive vulnerability to use a brain network typically involved in thinking about oneself to preferentially ruminate about negative, rather than positive, information.

Personality Traits Predict Self-Rated Health (SRH) in Coronary Heart Disease (CHD) Patients and Healthy Controls

OBJECTIVE

The objective of the present study is to examine the association between Big Five personality traits and self-rated health (SRH) among individuals with coronary heart disease (CHD), and to compare this relationship with that of healthy control participants, which is of importance as SRH can be a determinant of outcomes.

METHODS

The current study used data from 566 participants with CHD with a mean age of 63.00 (S.D. = 15.23) years old (61.13% males) and 8608 age- and sex-matched healthy controls with a mean age of 63.87 (S.D.= 9.60) years old (61.93% males) from the UKHLS. The current study used predictive normative modelling approaches, one-sample t tests, a hierarchical regression, and two multiple regressions.

RESULTS

The current study found that CHD patients have significantly lower Conscientiousness (t(565) = -3.84, p < 0.001, 95% C.I. [-0.28, -0.09], Cohen's d = -0.16) and SRH (t(565) = -13.83, p < 0.001, 95% C.I. [-0.68, -0.51], and Cohen's d = -0.58) scores compared to age and sex-matched healthy controls. Moreover, health status (controls vs. CHD patients) moderated the links between Neuroticism, Extraversion and SRH. Specifically, Neuroticism (b = -0.03, p < 0.01, 95% C.I. [-0.04, -0.01]), Openness (b = 0.04, p < 0.001, 95% C.I. [0.02, 0.06]), and Conscientiousness (b = 0.08, p < 0.001, 95% C.I. [0.06, 0.10]) were significant predictors of SRH in healthy controls, whereas Conscientiousness (b = 0.08, p < 0.05, 95% C.I. [0.01, 0.16]) and Extraversion (b = -0.09, p < 0.01, 95% C.I. [-0.15, -0.02]) were significant predictors of SRH in CHD patients.

CONCLUSION

Based on the close associations between personality traits and SRH, and the subsequent impact on patient outcomes, the results of this study should be taken into consideration by clinicians and health professionals when developing tailored treatment and intervention programs for their patients.

A quantitative analysis of the relationship between affective state and personality ratings in inpatient depression (RAPID)

BACKGROUND

The relationship between major depressive disorder (MDD) and personality disorders is complex, with implications for diagnosis and treatment. We sought to explore the relationship between these disorders quantitatively in an inpatient setting.

METHODS

We conducted a structured observational study exploring symptoms of depression and selected neurocognitive functions over the span of an inpatient admission in those with depression and personality disorders. Sixty inpatients presenting with symptoms of depression completed ratings of mood and neurocognitive function. Diagnosis was confirmed by structured clinical interview (SCID-5-RV) at discharge and used to allocate patients to one of the two groups for analysis: those with MDD-only and those with a personality disorder (with or without MDD).

RESULTS

On admission, observer-based ratings of depression were significantly higher in the MDD-only group while subjective ratings were higher in the personality disorder group. Depression rating scores lessened in both groups during the admission, but at discharge, the personality disorder group continued to report higher subjective ratings. The personality disorder group also rated themselves as more cognitively impaired than the MDD-only group and unlike the MDD-only group, they did not report subjective improvements in cognitive function over the course of admission. Objective assessment of cognitive function demonstrated improvements in both groups.

CONCLUSIONS

In this study, the presence of a personality disorder was associated with greater subjective severity of depressive symptomatology and selected neurocognitive functioning, despite similar or lower objective severity in comparison with those with MDD. This finding has implications for understanding the patient journey through health care settings.

Mediator role of resilience in the relationship between neuroticism and psychological symptoms: COVID-19 Pandemic and supermarket employees

The current research aimed to examine the relationship between personality traits, resilience, and psychological symptom levels of front-line supermarket employees during the COVID-19 pandemic. Three-hundred and ten (310) supermarket employees participated in the research between March and May 2021. Participants filled out the questionnaire sets online The Demographic Information Form, Symptom Checklist, Five Factor Inventory and Resilience Scale for Adults were presented as questionnaire sets. Pearson Correlation Analyses were conducted to determine the relationships between variables, Multiple Regression and mediation analyses were conducted to discover the predictors of symptom level. It was found that personality traits, resilience and psychological symptom levels are related to each other. Conscientiousness, neuroticism, openness and resilience are significant predictors of psychological symptom level. In addition, resilience plays a mediating role in the relationship between neuroticism and psychological symptom levels. The findings were discussed within the framework of the relevant literature and COVID-19 research findings.

Personality predicts self-rated health: considering age differences

Self-rated health (SRH) refers to the subjective evaluation of one's own health. Big Five personality traits including Neuroticism, Agreeableness, Openness, Conscientiousness, and Extraversion have been consistently found as significant predictors of SRH. In addition, SRH declines with age, and personality traits change with age. Thus, it is reasonable to speculate that age might moderate the associations between personality traits and SRH. The current study analyzed data from 33,256 participants with a mean age of 45.78 years old and 55.92% females. The current study found that age significantly moderates the associations between Agreeableness, Openness, and Conscientiousness and SRH after controlling for demographic covariates. The current study implies that personality traits relate to SRH differently at different ages. Thus, studies regarding the associations between personality traits and SRH must take the interactions between age and personality traits into account.

Personality traits and dimensions of mental health

Individuals are different in a relatively constant pattern of thoughts, feeling, and behaviors, which are called personality traits. Mental health is a condition of well-being in which people may reach their full potential and deal effectively with stress, work efficiently, and contribute to their communities. Indeed, the link between personality and mental health as indicated by the 12-item version of the general health questionnaires (GHQ-12) has been well-established according to evidence found by decades of research. However, the GHQ-12 comprises many questions asking about different dimensions of mental health. It is unclear how personality traits relate to these dimensions of mental health. In this paper, we try to address this question. We analyzed data from 12,007 participants from the British Household Panel Study (BHPS) using a confirmatory factor analysis (CFA) and generalized linear models. We replicated the factor structure of GHQ-12 labeled as GHQ-12A (social dysfunction & anhedonia; 6 items), GHQ-12B (depression & anxiety; 4 items), and GHQ-12C (loss of confidence; 2 items). Moreover, Neuroticism was positively related to all dimensions of mental health issues, Extraversion was negatively related to GHQ-12A (social dysfunction & anhedonia) and GHQ-12B (depression & anxiety), Agreeableness and Conscientiousness were negatively related to GHQ-12A (social dysfunction & anhedonia) and GHQ-12C (loss of confidence), and Openness was negatively related to GHQ-12B (depression & anxiety). These results contribute to theories including the predisposition/vulnerability model, complication/scar model, pathoplasty/exacerbation model, and the spectrum model, which propose that personality traits are linked to mental health and explained possible reasons. Psychologists may use results from this study to identify individuals who may be at high risk of developing various non-psychiatric mental health issues and intervene to avoid negative outcomes.

Personality and aging-related immune phenotype

An aging-related immune phenotype (ARIP) has been defined as a decrease in naïve T cells (T_N) relative to the accumulation of memory T cells (T_M). Recent research implicates ARIP measures, such as CD4 +T_N/T_M and CD8 +T_N/T_M ratios, in multimorbidity and mortality. This study examined whether psychological dispositions that assess how people think, feel, and behave are related to CD4 +T_N/T_M and CD8 +T_N/T_M. Participants were adults aged 50-104 years (N = 4798; 58% women, Mean Age= 67.95, SD= 9.56) from the Health and Retirement Study. Data on CD4 +T_N/T_M and CD8 +T_N/T_M were obtained in 2016. Data on personality, demographic factors, and potential clinical (body mass index, disease burden), behavioral (smoking, alcohol, physical activity), psychological (depressive symptoms, stress), and biological (cytomegalovirus IgG antibodies) mediating factors were obtained in 2014/2016. Controlling for demographic factors, higher conscientiousness was related to higher CD4 +T_N/T_M and CD8 +T_N/T_M. To a lesser extent, higher neuroticism and lower extraversion were associated with lower CD4 +T_N/T_M. Physical activity, and to a lesser extent BMI and disease burden, were the most robust mediators between personality and ARIP measures. Cytomegalovirus IgG level mediated the association between conscientiousness and both CD4 +T_N/T_M and CD8 +T_N/T_M. This study provides novel evidence that personality is related to ARIP. Higher conscientiousness and, to a lesser extent, higher extraversion may be protective against age-related immunophenotype change, whereas neuroticism may be a risk factor.

Depressive personality traits and temperament and character personality traits in a clinical sample: Results from regression and network analyses

Personality and psychopathology are highly relevant and easily relatable constructs. The current study investigated the relationships between dependency and self-criticism, sociotropy and autonomy depressive personality traits, and Cloninger's temperament and character personality traits postulated as vulnerability factors for depression, in relation to depressive and general psychopathology symptoms in a clinical sample of 100 patients diagnosed with major depressive disorder. The results showed that self-directedness, a character trait of the temperament and character model, was positively associated with dependency, self-criticism, sociotropy, and autonomy. Applying more in-depth analyses with regression models revealed associations between self-directedness and depressive personality styles dependency and sociotropy, and general psychopathology symptoms was a significant clinical indicator in these relationships. Going beyond the regression models, network analysis showed that self-directedness is associated with self-criticism, sociotropy, autonomy, and general psychopathology symptoms. The relationship between self-directedness and sociotropy, self-criticism and autonomy suggests that these depressive personality traits may be attributable to aspects of self-determination, maturity, responsibility, discipline, and self-acceptance. General psychopathology research informed by literature incorporating personality traits has far-reaching implications for understanding individual differences as well as increasing efforts to contribute to the amelioration of disabling psychological disorders like major depressive disorders.

Lonely and depressed in older age: prospective associations and common vulnerabilities

OBJECTIVES

Research demonstrated a close relationship between loneliness and depressive symptoms, but it remains unclear whether these constructs reciprocally influence each other or whether the association is due to common causes. This study aimed at examining how loneliness and depressive symptoms jointly unfold across time and how the relationship varies both within and between individuals.

METHODS

We used survey data of N = 8472 older adults gathered in the English Longitudinal Study of Ageing, which included eight waves over a time period of up to 15 years. The relationship was analyzed using a latent curve model, allowing us to separate within-person processes from between-person differences in long-term growth.

RESULTS

Results showed no prospective effects of loneliness on depressive symptoms (or vice versa) at the within-person level. Yet, within-person increases in loneliness were related to within-person increases in depressive symptoms at the same point in time. As regards the between-person effects, greater long-term growth in loneliness went along with greater long-term growth in depressive symptoms.

CONCLUSION

Our findings did not support the assumption that loneliness and depressive symptoms influence each other over time, but rather suggest that the short- and long-term associations may be due to a common vulnerability to the same causes.

Supplemental data for this article is available online at https://doi.org/10.1080/13607863.2022.2056138 .

The mediating role of Vitamin D in the association between personality and memory: Evidence from two samples

Five-Factor Model (FFM) personality traits are consistently related to cognition in old age. However, little is known about the biological mediators of this association. The present study examined whether levels of Vitamin D mediated the association between personality and memory. Participants were adults aged 50-96 years from the Health and Retirement Study (HRS, N = 5229) and the English Longitudinal Study of Ageing (ELSA, N = 4249). In HRS, personality and demographic factors were assessed in 2012/2014, Vitamin D was assessed in 2016, and memory was assessed in 2018. In ELSA, personality and demographic factors were obtained in 2010/2011, Vitamin D was measured in 2012/2013, and memory was assessed in 2014/2015. In both samples, higher extraversion and conscientiousness were related to higher levels of Vitamin D, whereas higher neuroticism was related to lower Vitamin D. In both samples, higher Vitamin D partly mediated the association between both higher extraversion and conscientiousness and better memory. The association between higher neuroticism and worse memory at follow-up was partially mediated by lower Vitamin D in the HRS and ELSA. Vitamin D did not mediate the association between higher openness and better memory. The present study extends the personality-cognition literature by providing new replicable evidence that Vitamin D is a biological mediator.

Associations Between Personality and Depressive Symptoms in an Adolescent Clinical Population: Consideration of Personality Stability

The study used trait-state-occasion TSO models to explore longitudinal personality stability in young adolescents with the onset of depressive symptoms and to quantify time-invariant and time-varying personality components in predicting the course of depressive symptoms. A total of 326 young clinical adolescents were recruited from high schools, and only 290 adolescents (112 boys; 178 girls) were followed up for 4 time points. Personality measures were implemented twice each year with an interval of 6 months, providing four assessment waves (T1 to T4); depression measures were administered at the initial stage (T1) and the third wave (T3), respectively. The results showed that five domains of personality in adolescents with depressive symptoms were largely characterized by the stable trait factor (65%-81%). The average autoregressive effects across the four waves were significant for all Big Five personality domains except openness. Moreover, excluding time-varying variance, conscientiousness, extraversion and agreeableness were negatively associated with T1 depressive symptoms; however, only the latter two domains retained significant relationships in the second year of intervention. An elevated level of neuroticism was consistently associated with higher levels of depressive symptoms over interventions. Trait factors of extraversion, agreeableness and neuroticism were associated with depressive symptoms in early adolsecnets, providing some implications for clinical practitioners.

Three-variable systems: An integrative moderation and mediation framework for developmental psychopathology

In this article, we consider an often overlooked model that combines mediation and moderation to explain how a third variable can relate to a risk factor-psychopathology relationship. We refer to it as moderation and mediation in a three-variable system. We describe how this model is relevant to studying vulnerability factors and how it may advance developmental psychopathology research. To illustrate the value of this approach, we provide several examples where this model may be applicable, such as the relationships among parental externalizing pathology, harsh parenting, and offspring psychopathology as well as between neuroticism, stressful life events, and depression. We discuss possible reasons why this model has not gained traction and attempt to clarify and dispel those concerns. We provide guidance and recommendations for when to consider this model for a given data set and point toward existing resources for testing this model that have been developed by statisticians and other methodologists. Lastly, we describe important caveats, limitations, and considerations for making this approach most useful for developmental research. Overall, our goal in presenting this information to developmental psychopathology researchers is to encourage testing moderation and mediation in a three-variable system with the aim of advancing analytic strategies for studying vulnerability factors.

Personality Traits Predict 7-Year Risk of Diagnosis of Multiple Sclerosis: A Prospective Study

Objective: The objective of the current study is to investigate how Big Five personality traits could predict the risk of multiple sclerosis (MS) diagnosis in 7 years. Methods: A binary logistic regression was used to analyze data from 17,791 participants who responded to questions at Wave 3 (collected between 2011 to 2012) and Wave 10 (collected between 2018 to 2019) using a binary logistic regression from UKHLS with a mean age of 47.01 (S.D. = 16.31) years old with 42.62% males. Results: The current study found that Openness (OR = 0.68, p < 0.01, 95% C.I. (0.51, 0.89)) and Conscientiousness (OR = 0.70, p < 0.05, 95% C.I. (0.52, 0.93)) are positively associated with a reduced risk of MS diagnosis in 7 years. Conclusion: Health professionals can use findings from the current study as evidence for developing tools for assessing the risk of MS, and providing interventions for people who may be at high risk of MS based on their personality traits.