TY - JOUR
T1 - Network Analysis of Posttraumatic Growth Dimensions
T2 - A Cross-Sectional Study in People Who Experienced the Death of a Loved One from COVID-19 in 16 Latin American Countries
AU - Caycho-Rodríguez, Tomás
AU - Baños-Chaparro, Jonatan
AU - Ventura-León, José
AU - Vilca, Lindsey W.
AU - Carbajal-León, Carlos
AU - Valencia, Pablo D.
AU - Yupanqui-Lorenzo, Daniel E.
AU - Paredes-Angeles, Rubí
AU - Arias Gallegos, Walter L.
AU - Reyes-Bossio, Mario
AU - Delgado-Campusano, Mariel
AU - Gallegos, Miguel
AU - Rojas-Jara, Claudio
AU - Polanco-Carrasco, Roberto
AU - Cervigni, Mauricio
AU - Martino, Pablo
AU - Lobos-Rivera, Marlon Elías
AU - Moreta-Herrera, Rodrigo
AU - Palacios Segura, Diego Alejandro
AU - Samaniego-Pinho, Antonio
AU - Buschiazzo Figares, Andrés
AU - Puerta-Cortés, Diana Ximena
AU - Camargo, Andrés
AU - Torales, Julio
AU - Monge Blanco, J. Arkangel
AU - González, Pedronel
AU - Smith-Castro, Vanessa
AU - Petzold-Rodriguez, Olimpia
AU - Corrales-Reyes, Ibraín Enrique
AU - Calderón, Raymundo
AU - Matute Rivera, Wendy Yamilet
AU - Ferrufino-Borja, Daniela
AU - Muñoz-del-Carpio-Toia, Agueda
AU - Palacios, Jorge
AU - Burgos-Videla, Carmen
AU - Florez León, Ana María Eduviges
AU - Vergara, Ibeth
AU - Vega, Diego
AU - Schulmeyer, Marion K.
AU - Barria-Asenjo, Nicol A.
AU - Urrutia Rios, Hassell Tatiana
AU - Lira Lira, Arelly Esther
AU - Ayala-Colqui, Jesús
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2025/1
Y1 - 2025/1
N2 - The present study aimed to apply a network analysis model to provide an exploratory empirical conceptualization of dynamic networks of posttraumatic growth (PTG) symptoms in 7,434 people who experienced the death of a loved one from COVID-19 in 16 Latin American countries. The Post-Traumatic Growth Inventory: Short Form of Eight Items was used. A non-regularized network with partial correlation coefficients was estimated through the ggmModSelect algorithm. The network architecture was analyzed for each country through its local properties and global properties. The results indicated that the networks differed significantly between countries. The core dimensions in the networks were relating to others, personal strength, and life value and opportunities, which were more related dimensions that reinforce the emergence of PTG in all countries. The findings may be useful to motivate researchers and mental health professionals to consider the importance of the individual dimensions of PTG in groups of people who experienced the death of a loved one from COVID-19 in 16 Latin American countries, as well as their interrelationships.
AB - The present study aimed to apply a network analysis model to provide an exploratory empirical conceptualization of dynamic networks of posttraumatic growth (PTG) symptoms in 7,434 people who experienced the death of a loved one from COVID-19 in 16 Latin American countries. The Post-Traumatic Growth Inventory: Short Form of Eight Items was used. A non-regularized network with partial correlation coefficients was estimated through the ggmModSelect algorithm. The network architecture was analyzed for each country through its local properties and global properties. The results indicated that the networks differed significantly between countries. The core dimensions in the networks were relating to others, personal strength, and life value and opportunities, which were more related dimensions that reinforce the emergence of PTG in all countries. The findings may be useful to motivate researchers and mental health professionals to consider the importance of the individual dimensions of PTG in groups of people who experienced the death of a loved one from COVID-19 in 16 Latin American countries, as well as their interrelationships.
KW - Latin American
KW - dynamic networks
KW - mental health
KW - posttraumatic growth
KW - traumatic events
UR - https://www.scopus.com/pages/publications/85175335096
U2 - 10.1177/10541373231208934
DO - 10.1177/10541373231208934
M3 - Artículo
AN - SCOPUS:85175335096
SN - 1054-1373
VL - 33
SP - 215
EP - 247
JO - Illness Crisis and Loss
JF - Illness Crisis and Loss
IS - 1
ER -
ODS 3: Salud y bienestar