Big Five Personality Research Articles

Analysis of the moderator effect of overstimulation on the relationships between indicators of health-related quality of life, extraversion and maladaptive coping strategies in people with sensory processing sensitivity

People with sensory processing sensitivity (SPS), when overstimulated, feel overwhelmed, stressed, and in need of social withdrawal, rest, and reestablishing balance in the nervous system. This study focuses on analyzing the moderator effect of overstimulation on health-related quality of life (mental health, vitality, and body pain), extraversion, and maladaptive coping strategies in people with SPS. Participants (N = 10,520 adults) completed the Spanish versions of the High Sensitivity Person Scale (HSPS-S), Short Form Health Survey (SF-36), NEO Five-Factor Inventory (NEO-FFI) and Coping Strategies Inventory (CSI). Participants with high overstimulation levels were observed to have a worse quality of life related to health, greater introversion, and a tendency to use more maladaptive coping strategies. Furthermore, two of the health-related quality of life indicators, mental health and vitality, occupy a central position in the relationships between variables; there was a negative relationship between mental health and active maladaptive coping strategies, as well as between extraversion and nonactive maladaptive coping strategies. Lastly, the level of overstimulation was not identified as an indicator that differentially influences its relationship with the study variables. These findings demonstrate the need to use prevention and clinical intervention programs that address mental health and vitality, as well as introversion and the use of maladaptive coping strategies in people with high sensitivity.

Energy-Related Uncertainty and Idiosyncratic Return Volatility: Implications for Sustainable Investment Strategies in Chinese Firms

This study examines the impact of energy-related uncertainty on idiosyncratic volatility (IVOL) in Chinese firms, leveraging data from the Shanghai and Shenzhen stock exchanges between 2007 and 2022. Utilizing the Energy-Related Uncertainty Index (EUI) and the Fama–French five-factor model, we analyze a comprehensive dataset of 20,998 firm-year observations to understand how macroeconomic uncertainties specific to the energy sector influence firm-specific risk. Our findings reveal that a one-unit increase in the EUI is associated with a 5.1% rise in idiosyncratic volatility across all firms, underscoring the significant impact of energy-related uncertainty on firm-specific risks. The effect is more pronounced in energy-related firms, where a one-unit increase in the EUI leads to a 6.4% increase in IVOL, compared to a 3.7% increase in non-energy-related firms. By incorporating industry-wise, heterogeneity, and phase-based analyses, our findings reveal significant variations in the EUI’s impact across energy and non-energy sectors. State-owned enterprises, firms with high ownership concentration, and smaller firms are more vulnerable to energy uncertainties. Additionally, the effect of the EUI on IVOL is more pronounced during periods of high uncertainty. These insights have important implications for sustainable investment strategies, risk management, and policymaking, providing a deeper understanding of the intricate dynamics of energy markets in fostering sustainable economic growth and development.

Psychometric evaluation of the German version of the Questionnaire of Cognitive and Affective Empathy (QCAE)

Empathy as a central element of social cognition plays a decisive role in various psychosocial areas and interpersonal dynamics, especially within the context of psychotherapy. Despite the controversy surrounding a standardized definition, empathy is generally regarded as a multidimensional concept that encompasses both cognitive and affective dimensions. This differentiation between cognitive and affective facets is addressed by a widely used and internationally well-established self-report measure of empathy, the Questionnaire of Cognitive and Affective Empathy (QCAE). This study focuses on evaluating the psychometric properties of the German version of the QCAE. In a convenience sample (N=1300), the postulated confirmatory five-factor model showed an adequate fit to the underlying structure. The subscales of the QCAE exhibited satisfactory internal consistency and convergent validity with other instruments measuring empathy. Despite certain methodological limitations, our findings suggest that the German version of the QCAE is suitable as a reliable and valid instrument for measuring empathy. Further studies in population-representative samples and clinical populations are required before a clear recommendation regarding its utilization can be provided.

Evaluating the Reliability and Model Fit of the 13-Item and 10-Item Big Five Inventory (Malay Version) among Malaysian Firefighters.

Lengthy instruments for assessing personality traits may not be applicable in certain research settings. In situations where time is scarce, a briefer measurement is preferable. However, the reliability of a briefer measurement of the Big Five Inventory (BFI) among firefighters in Malaysia has not been reported. This study aimed to investigate the reliability and model fit of the Malay version of the BFI with 13 items (BFI-13) and 10 items (BFI-10) among Malaysian firefighters. A cross-sectional study using cluster sampling was conducted in a state in Malaysia. Each respondent completed BFI-10 and BFI-13 using an online survey with a 1-month interval between each response. Reliability testing was evaluated using internal consistency and a 2-week interval test-retest. The model fit of these two BFI questionnaires was evaluated via confirmatory factor analysis (CFA). A total of 124 firefighters participated in the study, with a zero-dropout rate. The Malay version of BFI-13 exhibited higher reliability by displaying good internal consistency with Cronbach's alpha of 0.919, 0.838, 0.871 and 0.896 for the domains conscientiousness, neuroticism, agreeableness and extraversion, respectively, and acceptable test-retest reliability with moderate to good intraclass correlation (0.588-0.806). The CFA model also indicated that BFI-13 has a better model fit (comparative fit index [CFI] = 0.993; Tucker-Lewis index [TLI] = 0.991; standardised root mean squared residual [SRMR] = 0.029; root mean square error of approximation [RMSEA] = 0.035). The Malay version of BFI-13 is reliable and applicable enough to be supplementarily used in surveys among Malaysian firefighters. By using a brief personality assessment, it will reduce the cognitive and emotional burden on respondents.

Investigate The Influence Of The Fama and French Five-Factor Model On The SRI-KEHATI Stock Index

The capital market functions as an intermediary for the flow of funds between investors and companies, in accordance with the general principle that the greater the risk, the greater the potential profit. In estimating returns, there are several methods, one of which is the Fama French five factor model which was developed from the CAPM, APT and Fama French three factor models. This research aims to evaluate the relationship between the five-factor Fama French model and excess returns on the SRI-KEHATI stock index from 2015 - 2022. This research method adopts quantitative analysis with an associative causality approach and uses a purposive sampling technique to select 9 companies as samples. Data analysis used by Eviews 12. Study findings show that market factors have a significant influence on excess returns, while size, value, profitability and investment factors are not significant on excess returns. Overall, the Fama-French model's five factors collectively influence excess returns. This finding confirms that market conditions will influence the excess returns obtained by investors.

Testing of significant changes in big-five personality factors over time in the presence and absence of memory impairment and life-related stress

This study tests whether memory impairment and perceived increases in stress due to life changes independently contribute to similar personality changes, such as increased neuroticism and decreased conscientiousness. Longitudinal data from 12,912 participants aged 50+ from the Health and Retirement Study (2006–2020) were analyzed using Latent Growth Curve Models (LGCMs). Six LGCMs were simultaneously estimated to examine how changes in personality across three data points spanning 8 years are predicted by both the classification of memory impairment (MI) statuses assessed via the Telephone Interview for Cognitive Status and estimated increases in life stress. Decreases were observed in all Big Five personality factors (B = − 0.240/− 0.510, SE = 0.085/0.089) over the 8-year period. No significant differences in personality changes were found between MI cases and non-MI cases. Increased life stress was significantly associated with a rise in neuroticism (B = 0.587, SE = 0.094) and reductions in conscientiousness, extraversion, agreeableness, and openness (B ranges from − 0.223 to − 0.497). The findings emphasize adaptive/developmental shifts in personality in response to life stress rather than neuropathological ones related to memory impairment. Clinical assessment of personality changes in mid-to-late life should first consider psychological maladaptation to situational threats and challenges.

The uses and gratifications (U&G) model for understanding fake news sharing behavior on social media

BackgroundSocial networking sites (SNSs) have made information sharing easier than ever, this ease has also facilitated the spread of misinformation. ObjectiveTo ascertain and validate the uses and gratifications (U&G) factors associated with fake news-sharing behaviors on SNSs. MethodsA five-factor model based on the U&G theory was measured to estimate fake news-sharing behavior among university students, using the structural equation modeling. FindingsPassing time has a strong positive influence on fake news sharing behavior (β = 0.517, CR = 4.017, p < 0.001). Information seeking has a weak and non-significant positive influence on fake news sharing behavior (β = 0.308, CR = 1.569, p = 0.117). However, socialization (β = −0.164, CR = −1.883, p = 0.377), entertainment (β = −0.070, CR = −0.878, p = 0.380), and information sharing (β = −0.044, CR = −0.295, p = 0.768) gratifications have non-significant negative influences on fake news sharing behavior. The goodness-of-fit indices indicate that the proposed model is acceptable (χ2 = 2.195 df = 237; p < 0.001; GFI = 0.920; IFI = 0.901; CFI = 0.899; SRMR: 0.077; RMSEA = 0.049). ConclusionPassing time is the key predictor of fake news sharing behavior, while information-seeking gratification also contributes positively to this behavior. The study suggests several different approaches to prevent the spread of fake news, including implementing news literacy programs, installing a firewall, supporting fact-checking organizations, and implementing regulations and legislations for responsible social media practices. ImplicationsThe study is significant because it goes beyond the “what” of fake news sharing to understand the “why”. This deeper understanding can lead to more effective solutions for promoting responsible information-sharing behavior and combating the spread of fake news in the post-truth era.

The Role of Personality Traits, Cognitive Performances, and Perceived Social Support on Job Satisfaction Among Individuals with Chronic Psychiatric Disorders

Background: This study was conducted due to the importance of job satisfaction in chronic psychiatric patients and the lack of sufficient information about the associated variables. Objectives: The study aimed to assess the role of personality traits, cognitive performances, and perceived social support on job satisfaction among individuals with chronic psychiatric disorders employed in supportive-productive workshops in Semnan. Methods: This cross-sectional study was conducted using a quantitative and descriptive-correlational regression method. It included 152 individuals (both male and female) with chronic psychiatric disorders employed in supportive-productive workshops in Semnan city in 2022. Participants were randomly selected through a lottery method. Data were gathered using the NEO Five-Factor Inventory by Costa and McCrae (1985), the Field and Roth Job Satisfaction questionnaire (1951), Zimet's (1988) scale for perceived social support, and the Montreal Cognitive Assessment (1996). Data analysis was performed using regression analysis with SPSS version 24. Results: The regression analysis illustrated that although neuroticism, agreeableness, extraversion, conscientiousness, perceived social support, and cognitive performances had a significant predictive role on job satisfaction among patients with chronic psychiatric disorders, perceived social support and conscientiousness had the most significant effect, while cognitive performances had the least significant effect on predicting job satisfaction (P &lt; 0.05). Conclusions: It is recommended that authorities pay special attention to the perceived social support from society and family, as well as cognitive rehabilitation focusing on attention and concentration for individuals with chronic psychiatric disorders.

Influence of personality, biases on financial risk tolerance among retail investors in India

Investors’ personality traits and psychological biases play a crucial role in the decision-making process and risk-taking behavior of investors. The emotional and psychological factors impact the decision-making, giving rise to biases. These biases make investors make irrational decisions, which signifies the need for this study. This study aims to assess investors’ personalities using HEXACO model and its interaction with biases and financial risk tolerance. The data of 530 retail investors in India, who had more than 2 years of investing experience in the stock market, were collected. The study considered the HEXACO model since it captures all dimensions of personality that are not considered in the commonly used Big Five Model (BFM). The result of structural equation modeling and mediation analysis shows that the ‘honesty-humility’ trait significantly affects overconfidence bias. The mediation analysis of biases between traits and financial risk tolerance showed complete, partial, and no mediation effect depending on the nature of prejudice. Clear distinction of personality traits into ‘virtue traits’ and ‘character traits’ can be observed. This clear distinction paves the way for employing the HEXACO model in future studies.

Effects of neuroticism on pre-exam irritable bowel syndrome in female middle school students: mediating role of intolerance of uncertainty and moderating role of exercise duration.

China, which is deeply influenced by Confucianism, places special emphasis on students' test scores. Previous studies have shown that neuroticism is associated with irritable bowel syndrome (IBS) in adolescents. However, the mechanisms underlying this association before exams in female secondary school students are unknown. The present study sought to ascertain whether IU mediates the association between neuroticism and pre-exam IBS, and to determine whether exercise duration moderates the relationship between neuroticism and pre-exam IBS. The sample consisted of 685 Chinese female middle school students (Mage = 14.81, SD = 1.55, range = 11-18) who completed paper questionnaires, including the neuroticism subscale of the Chinese Neuroticism Extraversion Openness Five-Factor Inventory, the IBS Symptom Severity Scale, a simplified version of the Intolerance of Uncertainty Scale, and a movement time questionnaire. Independent samples t-test was used to compare differences between groups and Pearson correlation coefficient was used to investigate the bivariate correlation. The SPSS PROCESS 4.1 plug-in was then used to examine the mediating role of IU as well as the moderating role of movement time between neuroticism and pre-exam IBS. Neuroticism and IU were significantly correlated with pre-exam IBS (r = 0.39, 0.30, respectively; all p < 0.01), and neuroticism was significantly correlated with IU (r = 0.46, p < 0.01). Neuroticism had a direct predictive effect on pre-exam IBS in Chinese female middle school students (β = 0.32, p < 0.001), and IU also had a positive effect on pre-exam IBS (β = 0.15, p < 0.001). The mediating effect value of IU on the total effect was 18.09%. The relationship between neuroticism and pre-exam IBS was moderated by movement time (β = -0.23, p < 0.05). IU plays a mediating role between neuroticism and pre-exam IBS, and exercise time plays a moderating role between neuroticism and pre-exam IBS. These findings provide an evidence for neuroticism intervention, IU management, and pre-exam IBS improvement in female middle school students.

Penalty Versus Premium: Social Disposition Differentiates Life Satisfaction Among Living-Alone Immigrant and Native-Born Older Adults-Findings From the Canadian Longitudinal Study on Aging (CLSA).

Using data from the Canadian Longitudinal Study on Aging, in this study we provide an alternative explanation for the gap of life satisfaction between living-alone immigrants and Canadian-born older adults. Based on the Big-Five personality traits, we use the latent class analysis to generate two types of social dispositions, social independence and social dependence. With social dispositions taken into account, living alone contributes to life satisfaction in opposite ways for immigrant and Canadian-born older adults, by playing a negative role for the former group and a positive role for the latter. The trend of higher life satisfaction among the living-alone Canadian-born are mainly among the socially independent, whereas for immigrants, socially dependent older adults experience the lowest level of life satisfaction when living alone. Therefore, while socially independent Canadian-born older adults gain a "living-alone premium" in life satisfaction; their socially dependent immigrant counterparts experience a "living-alone penalty" in life satisfaction.

Development and validation of a secondary vocational school students’ digital learning competence scale

The rapid advancement of digital technology has not only affected the world of work but also students' learning. Digital learning competence (DLC) is one of the essential skills students need for effective learning in a digital environment. Despite the significant presence of secondary vocational school students in China, constituting one-third of the high school demographic, research on their digital learning needs remains sparse. Addressing this gap, this paper attempted to propose the elements and structural model of digital learning competence for secondary vocational school students (V-DLC). A corresponding questionnaire was compiled, and an analysis was carried out with 872 valid survey data of secondary vocational school students achieved by convenient sampling. A five-factor model for the V-DLC was established through exploratory and confirmatory factor analyses, cross-validity, and criterion validity tests. This paper suggests that evaluating students' digital learning competence in secondary vocational schools can be achieved by considering the dimensions of cognitive processing and reading, technology use, thinking skills, activity management, and will management, combined with students' learning experiences in school and other fields. Given the global focus on digital learning competence, this framework will pave the way for empirical research on digital learning and guide the enhancement of student learning ability in vocational settings, adapting to the digital era. Furthermore, transitioning to a digitalized vocational education system is essential for preparing students for a digitally-driven workforce, aligning with modern job market demands and global trends.

Revisiting the nature and strength of the personality-job performance relations: New insights from interpretable machine learning.

Prior research on the relations between the five-factor model (FFM) of personality traits and job performance has suggested mixed findings: Some studies pointed to linear relations, while other studies revealed nonlinear relations. This study addresses these gaps using machine learning (ML) methods that can model complex relations between the FFM traits and job performance in a more generalizable way, particularly interpretable ML techniques that can more effectively reveal the nature (linear, curvilinear, interactive) and strength (feature/relative importance) of the personality-job performance relations. Overall, the results based on a sample of 1,190 employees suggest that nonlinear ML methods perform slightly yet consistently better than linear regression methods in modeling the relation of job performance with FFM facets, but not with factors. On the factor level, conscientiousness exhibits a noticeable curvilinear relation with job performance, and it also interacts with other FFM factors to predict job performance. Conscientiousness displays the strongest feature importance across job types, followed by agreeableness. On the facet level, most FFM facets show limited evidence for curvilinear and interactive (with other facets) relations with job performance. While several conscientiousness facets (order, deliberation, self-discipline) display the strongest feature importance in predicting job performance, some agreeableness (straightforwardness, altruism) and extraversion (positive emotionality) facets also emerge as important features for different sales job types (corporate vs. individual sales). We discuss the implications of these findings for research and practice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Quantitative evaluation of a theoretical-conceptual model based on affective and socio-behavioral dimensions to explain the academic performance of mathematics students.

There is evidence that suggests that affective dimensions, personality traits, as well as students' cooperative interpersonal interactions, are an important element in the students learning process. In this work we propose a theoretical model, based on evidence, that shows the direct and indirect relationships between these factors and academic performance in mathematics courses, in undergraduate and school students. To understand the type of relationships between these variables, the PANAS psychometric test of positive and negative affect, the BIG FIVE personality test and the economic decision game DUPLES GAME were applied. The study sample was 130 students between 17 and 22 years of age from undergraduate and school (M ± SD = 20.1 ± 3.99). From a path analysis, statistically significant relationships were found, for example, a direct relationship between neuroticism and positive affect, which in turn is related to academic performance. We also found a direct relationship between neuroticism and negative affect, extraversion and positive affect. This allows us to propose that some of the independent variables of the model directly and indirectly influence the academic performance of students in the subject of mathematics. Positive affect and negative affect directly affect academic performance in mathematics, neuroticism has a direct impact on negative affect and extraversion direct impact on positive affect. Consequently, there are direct and indirect relationships between personality traits and affective dimensions, which affect the academic performance of mathematics students.

Adaptation and validation of the evidence-based practice profile (EBP2) questionnaire in a Norwegian primary healthcare setting

BackgroundAccess to valid and reliable instruments is essential in the field of implementation science, where the measurement of factors associated with healthcare professionals’ uptake of EBP is central. The Norwegian version of the Evidence-based practice profile questionnaire (EBP2-N) measures EBP constructs, such as EBP knowledge, confidence, attitudes, and behavior. Despite its potential utility, the EBP2-N requires further validation before being used in a cross-sectional survey targeting different healthcare professionals in Norwegian primary healthcare. This study assessed the content validity, construct validity, and internal consistency of the EBP2-N among Norwegian primary healthcare professionals.MethodsTo evaluate the content validity of the EBP2-N, we conducted qualitative individual interviews with eight healthcare professionals in primary healthcare from different disciplines. Qualitative data was analyzed using the “text summary” model, followed by panel group discussions, minor linguistic changes, and a pilot test of the revised version. To evaluate construct validity (structural validity) and internal consistency, we used data from a web-based cross-sectional survey among nurses, assistant nurses, physical therapists, occupational therapists, medical doctors, and other professionals (n = 313). Structural validity was tested using a confirmatory factor analysis (CFA) on the original five-factor structure, and Cronbach’s alpha was calculated to assess internal consistency.ResultsThe qualitative interviews with primary healthcare professionals indicated that the content of the EBP2-N was perceived to reflect the constructs intended to be measured by the instrument. However, interviews revealed concerns regarding the formulation of some items, leading to minor linguistic revisions. In addition, several participants expressed that some of the most specific research terms in the terminology domain felt less relevant to them in clinical practice. CFA results exposed partial alignment with the original five-factor model, with the following model fit indices: CFI = 0.749, RMSEA = 0.074, and SRMR = 0.075. Cronbach’s alphas ranged between 0.82 and 0.95 for all domains except for the Sympathy domain (0.69), indicating good internal consistency in four out of five domains.ConclusionThe EBP2-N is a suitable instrument for measuring Norwegian primary healthcare professionals’ EBP knowledge, attitudes, confidence, and behavior. Although EBP2-N seems to be an adequate instrument in its current form, we recommend that future research focuses on further assessing the factor structure, evaluating the relevance of the items, and the number of items needed.RegistrationRetrospectively registered (prior to data analysis) in OSF Preregistration. Registration DOI: https://doi.org/10.17605/OSF.IO/428RP.

Do Personality Traits Predict Mental Well-being in the Context of Erroneous Subjective Estimation of Smartphone Screen Time?: Findings from a Cross-sectional Observational Study Among College Students

Background: The current article reports on the findings from a cross-sectional survey conducted among college students on a subjectively reported and objectively measured smartphone screen time (ST) and its relation to mental well-being. Methods: We explored the magnitude of discrepancy between subjectively reported and objectively measured smartphone ST. Moreover, we assessed the interaction of mental well-being with personality traits among subjects with a discrepancy between the subjectively reported and objectively measured smartphone ST. The mental health of study participants was assessed using the WHO well-being index. Personality was assessed using the Big Five Inventory (BFI)- 10. A total of 202 students shared screenshots of the phone ST function and were included in the analysis. Results: A total of 145 (71.8%) participants underestimated their daily smartphone ST, whereas 56 (27.7%) of them overestimated ST. In the regression analysis, the predicted odds of poor mental well-being were 1.43 times greater for subjects with higher neuroticism scores in the overall sample. Moreover, the predicted odds of poor mental well-being were 1.593 times greater for subjects with higher neuroticism scores among the study subjects who underestimated their ST. Conclusions: The findings of the current study suggested that the magnitude of discrepancy between the subjectively estimated and objectively estimated ST varies across college students, with the discrepancy being significantly higher among those who overestimated their ST. The predicted odds of poor mental well-being were about one and a half times greater for subjects with higher neuroticism scores among college students who underestimated their ST.

Locating triarchic model constructs in the hierarchical structure of a comprehensive trait-based psychopathy measure: Implications for research and clinical assessment.

The triarchic model posits that distinct trait constructs of boldness, meanness, and disinhibition underlie psychopathy. The triarchic model traits are conceptualized as biobehavioral dimensions that can be assessed using different sets of indicators from alternative measurement modalities; as such, the triarchic model would hypothesize that these traits are not confined to any one item set. The present study tested whether the triarchic model dimensions would emerge from a hierarchical-structural analysis of the facet scales of the Elemental Psychopathy Assessment (EPA), an inventory designed to comprehensively index psychopathy according to the five-factor personality model. Study participants (Ns = 811, 170) completed the EPA and three different scale sets assessing the triarchic traits along with criterion measures of antisocial/externalizing behaviors. Bass-ackwards modeling of the EPA facet scales revealed a four-level structure, with factors at the third level appearing similar to the triarchic trait dimensions. An analysis in which scores for the Level-3 EPA factors were regressed onto corresponding latent-trait dimensions defined using the different triarchic scale sets revealed extremely high convergence (βs = .84-.91). The Level-3 EPA factors also evidenced validity in relation to relevant criteria, approximating and sometimes exceeding that evident for the Level-4 EPA factors. Together, these results indicate that the triarchic trait constructs are embedded in a psychopathy inventory designed to align with a general personality model and effectively predict pertinent external criteria. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Comparing five-factor personality traits and psychological distress between dysphonic patients and individuals with vocally healthy voices.

It was reported that voice can carry information about personality and psychological distress. In the current study, the relationship between five-factor personality traits and psychological distress with voice was enlightened from diverse aspects. A total of 119 participants (55 with and 64 without dysphonia) sustained vowels /a/ and /i/, read six standard sentences, and answered a question. Three raters auditory-perceptually evaluated the vocal samples using the Persian version of CAPE-V. The participants were distributed into four groups (vocally healthy, mild, moderate, and severe dysphonia). They completed two questionnaires: NEO Five-Factor Inventory (NEO-FFI) and Depression, Anxiety, and Stress Scale-21. Results showed that the conscientiousness (U=1146.500, z=-3.27, p=.001) in the dysphonia group was significantly less than the vocally healthy group. Depression (U=1381.000, z=-2.03, p=.042) and anxiety (U=1181.000, z=-3.10, p=.002) in the dysphonia group were significantly higher than in the vocally healthy group. In comparing different abnormal overall voice qualities, the mild dysphonia group revealed significantly lower conscientiousness (p=.001) and significantly higher anxiety (p=.002) relative to the vocally healthy group. Findings indicated that the conscientiousness trait could play an influential role in persons with dysphonia and its psychological status. The voice care team should consider conscientiousness and psychological distress during the assessment and treatment of dysphonic patients.

Adverse Childhood Experiences and Adult Marital Adjustment: The Role of Personality Development and Resilience Factors

Marital adjustment is a crucial aspect of family life, profoundly influenced by individuals' mental health and past experiences. This study examines the relationship between childhood maltreatment, personality development, and adult marital adjustment. A sample of 385 individuals aged 25 to 40 participated, with data collected through convenience sampling. Utilizing tools such as the Big Five-Personality Inventory (BFI-10), JVQ-R2, Screener Sum Version, Adult Retrospective Form, and Marital Adjustment Test (MAT), the study sought to replicate previous findings regarding the impact of adverse childhood experiences on adult mental health. Results indicate a significant association between childhood maltreatment and adult mental health, with implications for marital adjustment. Specifically, individuals reporting childhood maltreatment exhibited greater difficulties in marital adjustment. Furthermore, personality traits were found to be shaped by childhood experiences, with notable correlations observed. Neuroticism demonstrated a negative correlation with marital adjustment, whereas extraversion, openness, and loyalty exhibited positive associations. These findings underscore the complex interplay between early-life experiences, personality development, and adult relationship functioning. Understanding these dynamics can inform interventions aimed at promoting healthy marital adjustment and mitigating the adverse effects of childhood maltreatment on adult mental health.

Understanding the associations between the five-factor model, harmful alcohol consumption and problematic internet use in university students

ABSTRACT Alcohol consumption and Internet use are highly prevalent behaviours among young adults and previous research has suggested that different addictive behaviours might be distinctly associated with personality. This study examined the role of big-5 personality traits in alcohol consumption and Internet use. Alcohol consumption, internet use, and personality traits were assessed on 457 Portuguese university students. Higher levels of neuroticism, and lower levels of conscientiousness and agreeableness were found to be associated both with harmful alcohol use and problematic internet use. Openness to experience was not correlated with either behaviour. Multiple linear regression showed that conscientiousness might be an important predictor of both alcohol consumption and Internet use. There is an important overlap in personality traits related to alcohol and the use of internet, but there are also clear differences in what regards extraversion. Conscientiousness should be promoted as a preventive strategy.