Extraversion Personality Traits and Social Support as Determinants of Coping Responses among Individuals with HIV/AIDs

Shaheen, Azra

doi:10.15406/jpcpy.2015.04.00188

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Thirdly, all personality traits, except for agreeableness, revealed to be significant correlates of PWB among the studied patient group. It corresponds with other studies, which proved that these NEO traits, i.e., neuroticism, extraversion, openness to experience and conscientiousness are significantly associated with several aspects of PWB (Fassino et al 2004;Kumar 2015;McCrae et al 2007). Interestingly, above mentioned effect was the most pronounced for neuroticism, i.e., neuroticism occurred to be the most salient correlate of class membership among our participants compared to all other examined variables.…”

Section: Discussionsupporting

confidence: 90%

Socio-Medical and Personality Correlates of Psychological Well-Being among People Living with HIV: a Latent Profile Analysis

Rzeszutek

Gruszczyńska

Firląg-Burkacka³

2018

Applied Research Quality Life

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The aim of this study was to examine the heterogeneity of the sample of people living with HIV (PLWH) in terms of psychological well-being (PWB) using the latent profile analysis. Participants were 530 people with confirmed diagnosis of HIV+. The study was cross-sectional with psychological well-being operationalized by health related quality of life (WHO Quality of Life-BREF), satisfaction with life (Satisfaction with Life Scale) and positive and negative general affect (PANAS-X). The Big Five personality traits were measured with the NEO-FFI questionnaire. Additionally, sociomedical data were obtained. The statistical analysis proved the heterogeneity of PWB among the studied patient group: model with 6 different PWB profiles was best-fitted to the data. Employment, education, and personality traits, especially neuroticism, turned out to be significant for PWB profile membership. In contrast, medical variables were not related to the PWB profile membership among participants. Research on PWB among PLWH in so called person-centred approach by distinguishing their different subgroups may be an adjunct to develop more effective methods of psychological counselling for PLWH, especially in the light of findings that objective health status is not necessarily a strong explanatory variable of PWB's variance in these patients.Applied Research Quality Life

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Section: Discussionsupporting

confidence: 90%

Socio-Medical and Personality Correlates of Psychological Well-Being among People Living with HIV: a Latent Profile Analysis

Rzeszutek

Gruszczyńska

Firląg-Burkacka³

2018

Applied Research Quality Life

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“…Drawing on existing literature, research by Baek (2017) suggests that conscientious individuals may exhibit a greater capacity to cope with stressors, emphasizing the importance of conscientiousness in shaping adaptive responses. Additionally, the study of Shaheen et al (2015) demonstrates that extraversion is linked to positive outcomes in the workplace, indicating its potential to influence adaptive behaviors and resilience. In the context of career development, research by Sari (2020) highlights the role of conscientiousness in predicting job performance, suggesting its relevance to outcomes in professional domains.…”

Section: Hypothesesmentioning

confidence: 99%

The influence of gratitude and personality traits on career resilience and career success among college students

Zhao,

2024

Front. Psychol.

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IntroductionThe study examines the interplay between gratitude and career success, with career resilience as the mediating mechanism and personality traits, i.e., conscientiousness and extraversion, as moderating factors. The overarching goal is to enhance our understanding of the complex dynamics that influence career outcomes of college students in China.MethodsData are gathered through a survey-based technique, capturing responses from a diverse sample of participants. The analysis employs Structural Equation Modeling (SEM) to explore the relationships among gratitude, career resilience, personality traits, and career success.ResultsThe results reveal that gratitude impacts students’ career success through the mediating mechanism of career resilience. In addition, conscientiousness and extraversion are found to positively intervene the direct effect between gratitude and career resilience and the indirect effect between gratitude and career success through career resilience.DiscussionThe findings offer valuable insights for individuals, organizations, and career development practitioners, emphasizing the importance of cultivating gratitude and recognizing the differential impact of personality traits on this process. As organizations seek to foster resilient and successful career paths, acknowledging these nuanced dynamics can inform targeted interventions and strategies.

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“…In their work on Extraversion personality traits, Shaheen et al [20] analyzed the association among HIV-affected persons with respect to extraversion personality feature. The results show that there is a strong correlation between HIVaffected patients and extraversion personality traits.…”

Section: Review Of Literaturementioning

confidence: 99%

Detection and Classification of Psychopathic Personality Trait from Social Media Text Using Deep Learning Model

Asghar

Akbar

Asghar

et al. 2021

Computational and Mathematical Methods in Medicine

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Nowadays, there is a digital era, where social media sites like Facebook, Google, Twitter, and YouTube are used by the majority of people, generating a lot of textual content. The user-generated textual content discloses important information about people’s personalities, identifying a special type of people known as psychopaths. The aim of this work is to classify the input text into psychopath and nonpsychopath traits. Most of the existing work on psychopath’s detection has been performed in the psychology domain using traditional approaches, like SRPIII technique with limited dataset size. Therefore, it motivates us to build an advanced computational model for psychopath’s detection in the text analytics domain. In this work, we investigate an advanced deep learning technique, namely, attention-based BILSTM for psychopath’s detection with an increased dataset size for efficient classification of the input text into psychopath vs. nonpsychopath classes.

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Extraversion Personality Traits and Social Support as Determinants of Coping Responses among Individuals with HIV/AIDs

Cited by 6 publications

References 21 publications

Socio-Medical and Personality Correlates of Psychological Well-Being among People Living with HIV: a Latent Profile Analysis

Socio-Medical and Personality Correlates of Psychological Well-Being among People Living with HIV: a Latent Profile Analysis

The influence of gratitude and personality traits on career resilience and career success among college students

Detection and Classification of Psychopathic Personality Trait from Social Media Text Using Deep Learning Model

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