Análisis de red del Inventario de Crecimiento Postraumático (PTGI-X) en adultos peruanos con familiares fallecidos por COVID-19 en función del sexo

Abstract

Network analysis of the Posttraumatic Growth Inventory (PTGI-X) in Peruvian adults with family members killed by COVID-19 as a function of sex Abstract: Posttraumatic growth network structures were evaluated in males and females who lost a family member to COVID-19 to determine network variations according to sex. Six hundred sixty-nine Peruvian adults (M = 25.41, SD = 1.82) were included using the Posttraumatic Growth Inventory-X (PTGI-X) self-report measure. Two Gaussian plot models of partial correlations were estimated through the qgraph statistical package. The most central network domain items were emotional expression, closeness to others, and greater understanding of life-death issues. The highest connections were reported for items on the measures of personal relationships, appreciation for life, and spiritual-existential change. Both network models were found to be invariant and showed no significant differences at the level of structure and connections, and a difference was reported at the score level on the existential-spiritual change subscale in women. Keywords: Post-traumatic growth; COVID-19; death; grief; mental health; network analysis. Resumen: Se evaluaron las estructuras de red del crecimiento postraumático en varones y mujeres que perdieron un familiar por COVID-19 para determinar las variaciones de red según sexo. Fueron incluidos 669 adultos peruanos (M = 25.41, DT = 1.82) mediante la medida de autoinforme de Postraumatic Growth Inventory-X (PTGI-X). Se estimaron dos modelos de gráfico gaussiano de correlaciones parciales a través del paquete estadístico qgraph. Los reactivos más centrales del dominio de red fueron la expresión emocional, cercanía a los demás y mayor comprensión de las cuestiones de vida-muerte. Las conexiones más altas se reportaron en los elementos de las medidas de relaciones personales, apreciación por la vida y cambio espiritual-existencial. Se encontró que ambos modelos de red eran invariantes y no mostraban diferencias significativas a nivel de estructura y de conexiones, y se reportó una diferencia a nivel de puntuación en la subescala de cambio existencial-espiritual en las mujeres. Palabras clave: Crecimiento postraumático; COVID-19; muerte; duelo; salud mental; análisis de redes.

Structure and factorial invariance of a brief version of the Eating Attitudes Test in Peruvian university students

“…The results identify the Bayes Factor (BF), which has two interpretations: BF10 (in favor of the alternative hypothesis of significant difference) and BF01 (in favor of the null hypothesis of significant difference), along with the 95% confidence intervals and the effect size (Ly et al, 2018). The evidentiary strength of the significance hypotheses was calculated using the Jeffreys criteria for comparative studies: weak, moderate, strong, very strong, and extreme (Ramos-Vera et al, 2021;Ramos-Vera, 2022).…”

“…These results show that the partial correlations exhibit weak to moderate effect sizes (Epskamp et al, 2018). As for the centrality values (Figure 2), it was decided to consider the strength centrality because it allows us to recognize the item that has a greater interconnection influence on the other variables (Mcnally, 2021;Ramos-Vera, 2022). In the present network, it was recognized that item 2 (1.46) and item 4 (1.09) had the highest centrality scores, however, the indicator with the lowest strength was item 1 (−1.21).…”

Sex differences in entrapment in a multinational sample: a network analysis perspective

“…This approach uses a Gaussian graph to represent the associations (edges; total or partial correlations) existing between the variables (nodes; 19 , 20 ). Furthermore, it includes centrality indices that quantify the topological characteristics of components within the network ( 21 ).…”