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

  • Cristian Ramos-Vera
    ,
  • Antonio Serpa Barrientos
    ,
  • ,
  • José Vallejos Saldarriaga
    ,
  • Jacksaint Saintila(corresponding author)
*Corresponding author for this work
  • Universidad César Vallejo
    ,
  • Peruvian Society of Geriatrics
    ,
  • Universidad Nacional Mayor de San Marcos
    ,
  • Universidad Señor de Sipán
Research Output:
Contribution to journal
Article
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Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

1051271

Journal (Volume, Issue Number)

Frontiers in Psychology (Volume 13)

Publication milestones

  • Published - 24/11/2022

Publication status

Published - 24/11/2022

Publication IDs

  • Scopus: 85143390520

Abstract

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.

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