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Enneagram typologies and healthy personality to psychosocial stress: A network approach

INTRODUCTION: Enneagram typologies may impact psychological well-being and stressful situations in college students. However, the literature is still limited in the study of dynamic personality models such as the Enneagram in Spanish-speaking university students, and a better understanding is needed...

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Detalles Bibliográficos
Autores principales: Ramos-Vera, Cristian, Barrientos, Antonio Serpa, Baños-Chaparro, Jonatan, Saldarriaga, José Vallejos, Saintila, Jacksaint
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731769/
https://www.ncbi.nlm.nih.gov/pubmed/36506976
http://dx.doi.org/10.3389/fpsyg.2022.1051271
Descripción
Sumario:INTRODUCTION: Enneagram typologies may impact psychological well-being and stressful situations in college students. However, the literature is still limited in the study of dynamic personality models such as the Enneagram in Spanish-speaking university students, and a better understanding is needed. OBJECTIVE: To analyze network associations and centrality measures of Enneagram personality typologies in Peruvian university students. METHODS: A total of 859 Peruvian university students responded to two instruments assessing: The Pangrazzi’s Enneagram personality types and healthy personality to psychosocial stress. All instruments showed good psychometric values (validity and consistency). A regularized cross-sectional network structure was estimated with Gaussian graphical model and the graphical LASSO. RESULTS: Enneagram types 4, 5, and 6 presented the highest and positive associations in the network structure. Type 6 emerged as the node with the highest predictability. The healthy personality and type 7 acted as bridges between the communities, with types 6, 7, and 8 being the most central nodes. CONCLUSION: The findings suggest that Enneagram type 7 with healthy personality to psychosocial stress plays an important role in the development of the causal activation of the network model. The network shows causal associations between psychosocial stress and types 6, 7, 8, and 9.