scholarly journals Predicting the Severity of Symptoms of the COVID Stress Syndrome From Personality Traits: A Prospective Network Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Steven Taylor ◽  
Allan Fong ◽  
Gordon J. G. Asmundson
Keyword(s):  
Network Analysis ◽  
Personality Traits ◽  
Health Anxiety ◽  
Intolerance Of Uncertainty ◽  
Negative Emotionality ◽  
Personality Factors ◽  
Inhibitory Influence ◽  
Stress Reactions ◽  
Stress Syndrome ◽  
Trait Resilience

Psychological stress reactions to the COVID-19 pandemic are complex and multifaceted. Research provides evidence of a COVID Stress Syndrome (CSS), consisting of (1) worry about the dangerousness of getting infected with SARSCoV2 and coming into contact with infected surfaces, (2) worry concerning the personal socioeconomic consequences of COVID-19, (3) xenophobic fears that SARSCOV2 is being spread by foreigners, (4) COVID-19-related traumatic stress symptoms (e.g., nightmares), and (5) compulsive checking and reassurance-seeking about COVID-19. Little is known about how these symptoms are related to vulnerability and protective personality factors. Based on data from 1,976 US and Canadian adults, we conducted a prospective network analysis in which personality factors were initially assessed at Time 1 and then symptoms of the CSS were assessed at Time 2, 2.5 months later. Results indicated that trait optimism and trait resilience were negatively associated with negative emotionality, suggesting a modulatory (inhibitory) influence. Negative emotionality was positively linked to the narrower traits of intolerance of uncertainty and health anxiety proneness. These narrower traits, in turn, were prospectively linked to symptoms of the CSS. Results suggest that the effects of broad personality traits (e.g., negative emotionality, trait resilience) on symptoms of the CSS were mediated by narrower traits such as the intolerance of uncertainty. Treatment implications are discussed.

The Relationship Between Narcissism and Personality Traits of the Five-Factor-Model in Adolescents and Young Adults

2018 ◽  
Vol 46 (6) ◽  
pp. 516-522 ◽  
Author(s):  
Marc Allroggen ◽  
Peter Rehmann ◽  
Eva Schürch ◽  
Carolyn C. Morf ◽  
Michael Kölch
Keyword(s):  
Young Adults ◽  
Personality Traits ◽  
Five Factor Model ◽  
Self Report ◽  
Adolescents And Young Adults ◽  
Personality Factors ◽  
Big Five Personality ◽  
Grandiose Narcissism ◽  
Vulnerable Narcissism ◽  
The Relationship

Abstract.Narcissism is seen as a multidimensional construct that consists of two manifestations: grandiose and vulnerable narcissism. In order to define these two manifestations, their relationship to personality factors has increasingly become of interest. However, so far no studies have considered the relationship between different phenotypes of narcissism and personality factors in adolescents. Method: In a cross-sectional study, we examine a group of adolescents (n = 98; average age 16.77 years; 23.5 % female) with regard to the relationship between Big Five personality factors and pathological narcissism using self-report instruments. This group is compared to a group of young adults (n = 38; average age 19.69 years; 25.6 % female). Results: Grandiose narcissism is primarily related to low Agreeableness and Extraversion, vulnerable narcissism to Neuroticism. We do not find differences between adolescents and young adults concerning the relationship between grandiose and vulnerable narcissism and personality traits. Discussion: Vulnerable and grandiose narcissism can be well differentiated in adolescents, and the pattern does not show substantial differences compared to young adults.

A Simultaneous Cluster Analysis of Cognitive, Emotional, and Personality Factors and Insomnia and Sleep Quality Among Earthquake Victims

2019 ◽  
Vol 13 (4) ◽  
pp. 745-752 ◽  
Author(s):  
Habibolah Khazaie ◽  
Ali Zakiei ◽  
Saeid Komasi
Keyword(s):  
Cluster Analysis ◽  
Emotion Regulation ◽  
Sleep Quality ◽  
Personality Traits ◽  
Experiential Avoidance ◽  
Dysfunctional Attitudes ◽  
Personality Factors ◽  
Cross Sectional ◽  
Mean Values ◽  
Significant Difference

ABSTRACTObjectiveThe current study compares the measures of sleep quality and intensity of insomnia based on the clustering analysis of variables including dysfunctional beliefs and attitudes about sleep, experiential avoidance, personality traits of neuroticism, and complications with emotion regulation among the individuals struck by an earthquake in Kermanshah Province.MethodsThis study is a cross-sectional study that was carried out among earthquake victims of Kermanshah Province (western Iran) in 2017. Data were gathered starting 10 days after the earthquake and lasted for 2 weeks; of 1,200 standard questionnaires distributed, 1,001 responses were received, and the analysis was performed using 999 participants. The data analysis was carried out using a cluster analysis (K-mean method).ResultsTwo clusters were identified, and there is a significant difference between these two clusters in regard to all of the variables. The cluster with higher mean values for the selected variables shows a higher intensity of insomnia and a lower sleep quality.ConclusionsConsidering the current results, it can be concluded that variables of dysfunctional attitudes and beliefs about sleep, experiential avoidance, the personality traits of neuroticism, and complications with emotion regulation are able to identify the clusters where there is a significant difference in regard to sleep quality and the intensity of insomnia. (Disaster Med Public Health Preparedness. 2019;13:745–752)

The Relationship Between Virtues and Personality Traits of Chinese College Students

2011 ◽  
Vol 39 (10) ◽  
pp. 1379-1385 ◽  
Author(s):  
Shou-Kuan Mu
Keyword(s):  
College Students ◽  
Personality Traits ◽  
Rating Scale ◽  
Mainland China ◽  
Emotional Stability ◽  
Personality Factors ◽  
Chinese College Students ◽  
Psychological Concept ◽  
Self Reliance ◽  
The Relationship

Many researchers agree that virtue is an important psychological concept in contemporary psychology. The main purpose in this study was to investigate the relationship between virtues and the personality traits of college students in mainland China. Participants (N = 426) completed the Chinese Virtue Adjectives Rating Scale (CVARS; Mu, 2007) and the Chinese 16PF (Zhu & Dai, 1988). The results indicated that the 16 personality factors most closely related to the virtue factors were emotional stability, dominance, liveliness, rule-consciousness, social boldness, sensitivity, vigilance, abstractedness, apprehension, self-reliance, perfectionism, and tension. Second-order factors of the 16PF most strongly related to the virtue factors were anxiety, extraversion, tough-mindedness, and independence.

Impact of personality factors on purchase and adoption of consumer durables with advanced technology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ullal Manohar Bhat ◽  
Dhananjay Bapat ◽  
Amit Mookerjee
Keyword(s):  
Personality Traits ◽  
Developing Economies ◽  
Advanced Technology ◽  
Personality Factors ◽  
Empirical Examination ◽  
Consumer Durables ◽  
High Involvement ◽  
Content Type ◽  
Buying Behaviour ◽  
The Impact

Purpose The purpose of this paper is to identify critical personality traits affecting and influencing buying behaviour in high involvement consumer durables. It also intends to guide practitioners in selecting appropriate marketing frameworks, consumer segments and processes considering the characteristics of consumer behaviour in developing economies. Design/methodology/approach It systematically reviews the literature on consumer personality traits, its measurement and related consumer buying behaviour. It uses data collected from potential car buyers at various car showrooms across the Indian subcontinent. The authors have worked with the online survey firm Qualtrics, to gather a data set of 328 car purchase intenders’ responses to their validated survey. The model was tested using the SmartPLS. Findings The personality traits of imagination, agreeableness and social factors positively influenced attitude towards automobiles with advanced technology. Further, in line with the theory of planned behaviour, it is seen that a positive attitude towards advanced technology and design for automobiles makes a person more willing to pay for the same. Research limitations/implications The study is confined to consumers intending to purchase a car, who are Indian residents. Originality/value It adds to the comparatively lesser body of study on the impact of personality traits on intentions and attitudes in high involvement consumer durable purchases. Further, it serves as an empirical examination of the adoption of new technologies, in the context of high involvement consumer durables. For practicing managers, it provides a reference for deciding future development directions and approaches related to the effective market launch strategies and commercialization of advanced technology automobiles in India.

scholarly journals Self-Expressive Creativity in the Adolescent Digital Domain: Personality, Self-Esteem, and Emotions

2019 ◽  
Vol 16 (22) ◽  
pp. 4527 ◽  
Author(s):  
Pérez-Fuentes ◽  
Molero Jurado ◽  
Gázquez Linares ◽  
Oropesa Ruiz ◽  
Simón Márquez ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
High School Students ◽  
Personality Traits ◽  
Self Esteem ◽  
Positive Influence ◽  
Openness To Experience ◽  
Positive Development ◽  
Personality Factors ◽  
School Students ◽  
Negative Effect

Background: Although self-expressive creativity is related to cyberbullying, it can also reinforce strengths that contribute to positive adolescent development. Our study concentrated on the relationships between personality traits and self-expressive creativity in the digital domain in an adolescent population. For this, we analyzed the effect of self-esteem and emotional intelligence as assets for positive development related to personality traits and self-expressive creativity. Methods: The study population included a total of 742 adolescents that were high-school students in the province of Almería, Spain. The following instruments were used: Big Five Inventory (BFI) to evaluate the five broad personality factors, Rosenberg Self-Esteem Scale (RSE), Expression, Management, and Emotion Recognition Evaluation Scale (TMMS-24), and the Creative Behavior Questionnaire: Digital (CBQD). Results: The cluster analysis revealed the existence of two profiles of adolescents based on their personality traits. The analysis showed that the group with the highest levels of extraversion and openness to experience and lowest levels of neuroticism were those who showed the highest scores in self-esteem, clarity, and emotional repair, as well as in self-expressive creativity. Higher scores in neuroticism and lower scores in extraversion and openness to experience showed a direct negative effect on self-expressive creativity and indirect effect through self-esteem and emotional attention, which acted as mediators in series. Conclusions: To counteract certain characteristics that increase adolescents’ vulnerability to social network bullying, a plan must be developed for adequate positive use of the Internet from a creative model that enables digital self-expression for acquiring identity and self-efficacy through the positive influence of peers, which promotes feelings of empowerment and self-affirmation through constructive tasks that reinforce self-esteem and emotional intelligence.

scholarly journals Computer Programming E-Learners’ Personality Traits, Self-Reported Cognitive Abilities, and Learning Motivating Factors

2021 ◽  
Vol 11 (9) ◽  
pp. 1205
Author(s):  
Aiste Dirzyte ◽  
Aivaras Vijaikis ◽  
Aidas Perminas ◽  
Romualda Rimasiute-Knabikiene ◽  
Lukas Kaminskis ◽  
...  
Keyword(s):  
Personality Traits ◽  
Visual Processing ◽  
Cognitive Abilities ◽  
Computer Programming ◽  
Social Pressure ◽  
Negative Emotionality ◽  
Future Research ◽  
Motivating Factors ◽  
Individual Attitude ◽  
The Impact

Educational systems around the world encourage students to engage in programming activities, but programming learning is one of the most challenging learning tasks. Thus, it was significant to explore the factors related to programming learning. This study aimed to identify computer programming e-learners’ personality traits, self-reported cognitive abilities and learning motivating factors in comparison with other e-learners. We applied a learning motivating factors questionnaire, the Big Five Inventory—2, and the SRMCA instruments. The sample consisted of 444 e-learners, including 189 computer programming e-learners, the mean age was 25.19 years. It was found that computer programming e-learners demonstrated significantly lower scores of extraversion, and significantly lower scores of motivating factors of individual attitude and expectation, reward and recognition, and punishment. No significant differences were found in the scores of self-reported cognitive abilities between the groups. In the group of computer programming e-learners, extraversion was a significant predictor of individual attitude and expectation; conscientiousness and extraversion were significant predictors of challenging goals; extraversion and agreeableness were significant predictors of clear direction; open-mindedness was a significant predictor of a diminished motivating factor of punishment; negative emotionality was a significant predictor of social pressure and competition; comprehension-knowledge was a significant predictor of individual attitude and expectation; fluid reasoning and comprehension-knowledge were significant predictors of challenging goals; comprehension-knowledge was a significant predictor of clear direction; and visual processing was a significant predictor of social pressure and competition. The SEM analysis demonstrated that personality traits (namely, extraversion, conscientiousness, and reverted negative emotionality) statistically significantly predict learning motivating factors (namely, individual attitude and expectation, and clear direction), but the impact of self-reported cognitive abilities in the model was negligible in both groups of participants and non-participants of e-learning based computer programming courses; χ² (34) = 51.992, p = 0.025; CFI = 0.982; TLI = 0.970; NFI = 0.950; RMSEA = 0.051 [0.019–0.078]; SRMR = 0.038. However, as this study applied self-reported measures, we strongly suggest applying neurocognitive methods in future research.

scholarly journals Dark Triad personality traits vary across countries and predict antisocial behavior

2017 ◽  
Author(s):  
Nichola Raihani ◽  
Paul Deutchman
Keyword(s):  
Aggressive Behavior ◽  
Personality Traits ◽  
Antisocial Behavior ◽  
Dark Triad ◽  
Personality Factors ◽  
Factors Associated ◽  
The Usa ◽  
Group Members ◽  
Proximate Explanation

Humans commonly punish exploitative group members but punishment is also frequently targeted at cooperative individuals. The proclivity for ‘antisocial punishment’ varies widely across societies, although the reasons for this variation remain unclear. Here, we identify personality factors associated with antisocial punishment, using a joy-of-destruction game with participants from India and the USA. This game allows players to harm one another, by destroying the partner’s earnings, without any strategic incentive for doing so. High Dark Triad scores, implying the presence of personality traits underlying selfish and aggressive behavior, predicted destruction in this game. Participants from India scored higher on the Dark Triad scale than players from the USA, and were more likely than US-based participants to destroy the partner’s endowment. These data suggest that Dark Triad personality traits could be a proximate explanation for antisocial behavior.

scholarly journals Factors underlying cognitive decline in old age and Alzheimer’s disease: the role of the hippocampus

2017 ◽  
Vol 28 (7) ◽  
pp. 705-714 ◽  
Author(s):  
Wafa Jaroudi ◽  
Julia Garami ◽  
Sandra Garrido ◽  
Michael Hornberger ◽  
Szabolcs Keri ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Decline ◽  
Personality Traits ◽  
Old Age ◽  
Brain Regions ◽  
Personality Factors ◽  
Associated Symptoms ◽  
Lifestyle Patterns

AbstractThere are many factors that strongly influence the aetiology, development, and progression of cognitive decline in old age, mild cognitive impairment (MCI), and Alzheimer’s disease (AD). These factors include not only different personality traits and moods but also lifestyle patterns (e.g. exercise and diet) and awareness levels that lead to cognitive decline in old age. In this review, we discuss how personality traits, mood states, and lifestyle impact brain and behaviour in older adults. Specifically, our review shows that these lifestyle and personality factors affect several brain regions, including the hippocampus, a region key for memory that is affected by cognitive decline in old age as well as AD. Accordingly, appropriate recommendations are presented in this review to assist individuals in decreasing chances of MCI, dementia, AD, and associated symptoms.

Personality and attitudes towards people with mental disorders: Preliminary studies results

2020 ◽  
Vol 66 (3) ◽  
pp. 270-278 ◽  
Author(s):  
Aleksandra Wolska ◽  
Alicja Malina
Keyword(s):  
Mental Disorders ◽  
Personality Traits ◽  
Social Distance ◽  
Psychological Research ◽  
Personality Factors ◽  
Community Attitudes ◽  
Polish Version ◽  
Neo Five Factor Inventory ◽  
Polish Adaptation

Background: The subject of psychological research all over the world is to understand the factors conditioning relationships between healthy people and people with mental disorders. Authors analysing attitudes towards people with mental disorders emphasize the importance of two types of determinants: personality factors and demographic and social variables. Aim: The aim of the research was to determine the interdependencies between personality traits and attitudes towards people with mental disorders, taking into account the moderating role of social distance and demographic and environmental variables. Method: Polish version of Community Attitudes towards Mental Illness (CAMI) – Kwestionariusz Postaw (KP) was used to measure attitudes towards people with mental disorders. Personality traits were measured using the NEO-Five-Factor Inventory (FFI) Personality Inventory by Costa and McCrae–Polish Adaptation, and the polish version of the Social Distance Scale was used to measure the declared social distance. In all, 204 people participated in the research: 133 women and 71 men, aged 18–65 years, living in the Kuyavian-Pomeranian and Greater Poland voivodeships. Results: The results showed that there is a relationship between personality traits: neuroticism, extraversion, openness to experience and agreeableness and an attitude towards people with mental disorders. Social distance, as the proposed moderator, did not significantly change the relationship between the variables. Conclusion: The results of the research have confirmed the important role of personality factors for attitudes, what should be remembered to exploration of presented phenomenon.

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