Big Five Traits Based Profiles and Humor Styles in Preadolescents

Kokkinos, Constantinos M.; Voulgaridou, Ioanna; Michaelides, Orestis

doi:10.1027/1614-0001/a000382

Cited by 5 publications

(4 citation statements)

References 34 publications

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“…Furthermore, workers from our study seemed to be characterized in their work environment by activating Emotion Control processes, which refer to the ability to manage emotionality and anxiety appropriately [62]. The link between the two most central HSQ and BFQ nodes was positive, in line with previous findings [35,42,45]. Furthermore, network analysis highlighted that HSQ Self-defeating (excessively self-disparaging humor, characterized by attempts to amuse others at the cost of and disadvantage to the self) was the second-most-central humor style among the HSQ styles.…”

Section: Discussionsupporting

confidence: 89%

“…Furthermore, network analysis highlighted that HSQ Self-defeating (excessively self-disparaging humor, characterized by attempts to amuse others at the cost of and disadvantage to the self) was the second-most-central humor style among the HSQ styles. It was negatively associated with BFQ Emotion Control, in line with the literature [35,42,45]. This could suggest that the Self-enhancing humor style could be activated more often when Emotion Control is high.…”

Section: Discussionsupporting

confidence: 87%

“…In this framework, several studies have also explored the links between the four humor styles and personality traits [35,[37][38][39][40][41][42][43][44][45][46][47][48].…”

Section: Literature Reviewmentioning

confidence: 99%

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Relationships between Humor Styles and the Big Five Personality Traits in Workers: A Network Analysis

Fabio

Gori

Svicher

2023

IJERPH

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In this study, we investigated the relationship between the four humor styles (Affiliative, Self-enhancing, Aggressive, and Self-defeating) assessed via the Humor Styles Questionnaire (HSQ) and the ten facets of the Big Five Questionnaire (BFQ) through network analysis. Four hundred and sixty-two Italian workers (61.3% women; Mage = 48.59; SD = 10.75) participated in the study and filled out the HSQ and the BFQ. Both centrality indexes (Expected Influence [EI]) and bridge nodes were calculated. In addition, the stability and accuracy of the network were checked. The network analysis revealed that HSQ Self-enhancing (EI = 0.63) showed the highest centrality among the HSQ styles, whereas BFQ Emotion Control (EI = 1.10) showed the highest centrality among BFQ facets; it also revealed that they were positively linked. Furthermore, HSQ Self-defeating emerged as the second-most-central humor style, negatively associated with BFQ Emotion Control. Concerning Bridge dimensions, four nodes were identified: HSQ Aggressive Humor, BFQ Emotion Control, BFQ Dynamism, and BFQ Dominance, with positive links between humor and personality except for Aggressive humor and Emotion Control, which showed negative links. On the basis of these results, the high centrality of HSQ Self-enhancing indicates the possibility of using this node as a starting point to foster positive and adaptive humor styles. The centrality of HSQ Self-defeating suggests that strength-based interventions could be focused to increase adaptive humor styles and to decrease them in order to enhance health-promoting humor styles. Furthermore, the bridge node of the HSQ Aggressive humor style with specific personality facets shows its possible use in intervention to both resize to adaptively improve relationships between humor and personality.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 87%

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Relationships between Humor Styles and the Big Five Personality Traits in Workers: A Network Analysis

Fabio

Gori

Svicher

2023

IJERPH

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“…With LPA, respective level on Big 5 domains can be evaluated as different types of personality profiles, making it possible to identify unobserved subgroups with distinct personality profiles and capture the nuances in it (Howard & Hoffman, 2018). Most studies that considered five‐factor model using LPA have identified three to five personality profiles (for review, see Yin et al., 2021), which allows the investigation into their impact on other variables of interest further (e.g., Kokkinos et al., 2023; Udayar et al., 2020). Therefore, we believe that adopting such a person‐oriented approach in understanding how personality profiles drives exercise of adults might contribute to ways of exercise intervention than focusing on one personality dimension at a time.…”

Section: Introductionmentioning

confidence: 99%

Personality profiles and exercise behaviour across adulthood

Wang,

Shao,

Guo

et al. 2024

Social & Personality Psych

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Personality has constituted a significant psychological component predicting physical exercise. Prior research mostly focused on how personality domains are associated with exercise behaviour. Yet, focusing more closely on combinations of personality domains may be valuable in the future. The present cross‐sectional study aimed to bridge this gap by investigating the associations between Big Five personality profiles and exercise behaviour based on a person‐centred approach in adults. Data from the China Family Panel Studies (CFPS) were used (N = 28,304), in which participants reported their Big Five personality and exercise behaviour. Latent profile analyses, grounded in young adulthood, middle adulthood, and later adulthood sub‐samples, identified five personality profiles: moderate, reserved, confident, resilient, and vulnerable. Across three age groups, significant differences between the five personality profiles in relation to exercise behaviour were revealed. Individuals with the resilient or confident profiles generally had longer exercise duration while people with the vulnerable profile tended to exercise less. Our findings give greater insight into the relationship between exercise and personality, suggesting that different combinations of personality traits may determine individuals' exercise behaviour. It opens promising avenues for identification of adults at risk of lacking exercise, and for development of personality‐targeted exercise interventions.

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What’s Your Humor Profile? A Latent Profile Analysis on the State-Trait Model of Cheerfulness as the Temperamental Basis of Humor

Lau

Swindall

et al. 2023

J Happiness Stud

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Big Five Traits Based Profiles and Humor Styles in Preadolescents

Cited by 5 publications

References 34 publications

Relationships between Humor Styles and the Big Five Personality Traits in Workers: A Network Analysis

Relationships between Humor Styles and the Big Five Personality Traits in Workers: A Network Analysis

Personality profiles and exercise behaviour across adulthood

What’s Your Humor Profile? A Latent Profile Analysis on the State-Trait Model of Cheerfulness as the Temperamental Basis of Humor

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