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Network Analysis of Posttraumatic Growth Dimensions: A Cross-Sectional Study in People Who Experienced the Death of a Loved One from COVID-19 in 16 Latin American Countries

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dc.contributor.author Caycho-Rodríguez, T.
dc.contributor.author Baños-Chaparro, J.
dc.contributor.author Ventura-León, J.
dc.contributor.author Vilca, L.W.
dc.contributor.author Carbajal-León, C.
dc.contributor.author Valencia, P.D.
dc.contributor.author Yupanqui-Lorenzo, D.E.
dc.contributor.author Paredes Angeles, Rubí Celeste
dc.contributor.author Arias Gallegos, W.L.
dc.contributor.author Reyes-Bossio, M.
dc.contributor.author Delgado-Campusano, M.
dc.contributor.author Gallegos, M.
dc.contributor.author Rojas-Jara, C.
dc.contributor.author Polanco-Carrasco, R.
dc.contributor.author Cervigni, M.
dc.contributor.author Martino, P.
dc.contributor.author Lobos-Rivera, M.E.
dc.contributor.author Moreta-Herrera, R.
dc.contributor.author Palacios Segura, D.A.
dc.contributor.author Samaniego-Pinho, A.
dc.contributor.author Buschiazzo Figares, A.
dc.contributor.author Puerta-Cortés, D.X.
dc.contributor.author Camargo, A.
dc.contributor.author Torales, J.
dc.contributor.author Monge Blanco, J.A.
dc.contributor.author González, P.
dc.contributor.author Smith-Castro, V.
dc.contributor.author Petzold-Rodriguez, O.
dc.contributor.author Corrales-Reyes, I.E.
dc.contributor.author Calderón, R.
dc.contributor.author Matute Rivera, W.Y.
dc.contributor.author Ferrufino-Borja, D.
dc.contributor.author Muñoz-del-Carpio-Toia, A.
dc.contributor.author Palacios, J.
dc.contributor.author Burgos-Videla, C.
dc.contributor.author Florez León, A.M.E.
dc.contributor.author Vergara, I.
dc.contributor.author Vega, D.
dc.contributor.author Schulmeyer, M.K.
dc.contributor.author Barria-Asenjo, N.A.
dc.contributor.author Urrutia Rios, H.T.
dc.contributor.author Lira Lira, A.E.
dc.contributor.author Ayala-Colqui, J.
dc.date.accessioned 2023-12-05T17:48:02Z
dc.date.available 2023-12-05T17:48:02Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/20.500.12866/14654
dc.description.abstract 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. en_US
dc.language.iso eng
dc.publisher SAGE Publications
dc.relation.ispartofseries Illness Crisis and Loss
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Posttraumatic en_US
dc.subject Cross-Sectional Study en_US
dc.subject People Who Experienced the Death of a Loved One en_US
dc.subject COVID-19 en_US
dc.subject Latin America en_US
dc.subject.mesh Trastornos por Estrés Postraumático
dc.subject.mesh Estudios Transversales
dc.subject.mesh COVID-19
dc.subject.mesh América Latina
dc.title Network Analysis of Posttraumatic Growth Dimensions: A Cross-Sectional Study in People Who Experienced the Death of a Loved One from COVID-19 in 16 Latin American Countries en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1177/10541373231208934
dc.relation.issn 1552-6968


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