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

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...

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Autores:: Tomás Caycho-Rodríguez
Jonatan Baños-Chaparro
José Ventura-León
Lindsey W. Vilca
Carlos Carbajal-León
Pablo D. Valencia
Daniel E. Yupanqui-Lorenzo
Rubí Paredes-Angeles
Walter L. Arias Gallegos
Mario Reyes-Bossio
Mariel Delgado-Campusano
Miguel Gallegos
Claudio Rojas-Jara
Roberto Polanco-Carrasco
Mauricio Cervigni
Pablo Martino
Marlon Elías Lobos-Rivera
Rodrigo Moreta-Herrera
Diego Alejandro Palacios Segura
Antonio Samaniego-Pinho
Andrés Buschiazzo Figares
Diana Ximena Puerta-Cortés
Andrés Camargo
Julio Torales
J. Arkangel Monge Blanco
Pedronel González
Vanessa Smith-Castro
Olimpia Petzold-Rodriguez
Ibraín Enrique Corrales-Reyes
Raymundo Calderón
Wendy Yamilet Matute Rivera
Daniela Ferrufino-Borja
Agueda Muñoz-del-Carpio-Toia
Jorge Palacios
Carmen Burgos-Videla
Ana María Eduviges Florez León
Ibeth Vergara
Diego Vega
Marion K. Schulmeyer
Nicol A. Barria-Asenjo
Hassell Tatiana Urrutia Rios
Arelly Esther Lira Lira
Jesús Ayala-Colqui

Tipo de recurso:: Article of investigation

Fecha de publicación:: 2023

Institución:: Universidad de Ibagué

Repositorio:: Repositorio Universidad de Ibagué

Idioma:: eng

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network_acronym_str	UNIBAGUE2
network_name_str	Repositorio Universidad de Ibagué
repository_id_str
dc.title.eng.fl_str_mv	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
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
spellingShingle	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 Crecimiento postraumático Muerte de un ser querido - Crecimiento postraumático Dynamic networks Latin American Mental health Posttraumatic growth Traumatic events
title_short	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
title_full	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
title_fullStr	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
title_full_unstemmed	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
title_sort	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
dc.creator.fl_str_mv	Tomás Caycho-Rodríguez Jonatan Baños-Chaparro José Ventura-León Lindsey W. Vilca Carlos Carbajal-León Pablo D. Valencia Daniel E. Yupanqui-Lorenzo Rubí Paredes-Angeles Walter L. Arias Gallegos Mario Reyes-Bossio Mariel Delgado-Campusano Miguel Gallegos Claudio Rojas-Jara Roberto Polanco-Carrasco Mauricio Cervigni Pablo Martino Marlon Elías Lobos-Rivera Rodrigo Moreta-Herrera Diego Alejandro Palacios Segura Antonio Samaniego-Pinho Andrés Buschiazzo Figares Diana Ximena Puerta-Cortés Andrés Camargo Julio Torales J. Arkangel Monge Blanco Pedronel González Vanessa Smith-Castro Olimpia Petzold-Rodriguez Ibraín Enrique Corrales-Reyes Raymundo Calderón Wendy Yamilet Matute Rivera Daniela Ferrufino-Borja Agueda Muñoz-del-Carpio-Toia Jorge Palacios Carmen Burgos-Videla Ana María Eduviges Florez León Ibeth Vergara Diego Vega Marion K. Schulmeyer Nicol A. Barria-Asenjo Hassell Tatiana Urrutia Rios Arelly Esther Lira Lira Jesús Ayala-Colqui
dc.contributor.author.none.fl_str_mv	Tomás Caycho-Rodríguez Jonatan Baños-Chaparro José Ventura-León Lindsey W. Vilca Carlos Carbajal-León Pablo D. Valencia Daniel E. Yupanqui-Lorenzo Rubí Paredes-Angeles Walter L. Arias Gallegos Mario Reyes-Bossio Mariel Delgado-Campusano Miguel Gallegos Claudio Rojas-Jara Roberto Polanco-Carrasco Mauricio Cervigni Pablo Martino Marlon Elías Lobos-Rivera Rodrigo Moreta-Herrera Diego Alejandro Palacios Segura Antonio Samaniego-Pinho Andrés Buschiazzo Figares Diana Ximena Puerta-Cortés Andrés Camargo Julio Torales J. Arkangel Monge Blanco Pedronel González Vanessa Smith-Castro Olimpia Petzold-Rodriguez Ibraín Enrique Corrales-Reyes Raymundo Calderón Wendy Yamilet Matute Rivera Daniela Ferrufino-Borja Agueda Muñoz-del-Carpio-Toia Jorge Palacios Carmen Burgos-Videla Ana María Eduviges Florez León Ibeth Vergara Diego Vega Marion K. Schulmeyer Nicol A. Barria-Asenjo Hassell Tatiana Urrutia Rios Arelly Esther Lira Lira Jesús Ayala-Colqui
dc.subject.armarc.none.fl_str_mv	Crecimiento postraumático Muerte de un ser querido - Crecimiento postraumático
topic	Crecimiento postraumático Muerte de un ser querido - Crecimiento postraumático Dynamic networks Latin American Mental health Posttraumatic growth Traumatic events
dc.subject.proposal.eng.fl_str_mv	Dynamic networks Latin American Mental health Posttraumatic growth Traumatic events
description	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.
publishDate	2023
dc.date.issued.none.fl_str_mv	2023-10-26
dc.date.accessioned.none.fl_str_mv	2025-09-02T23:15:16Z
dc.date.available.none.fl_str_mv	2025-09-02T23:15:16Z
dc.type.none.fl_str_mv	Artículo de revista
dc.type.coar.none.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.none.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.content.none.fl_str_mv	Text
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv	info:eu-repo/semantics/publishedVersion
format	http://purl.org/coar/resource_type/c_2df8fbb1
status_str	publishedVersion
dc.identifier.citation.none.fl_str_mv	Caycho-Rodríguez, T., Baños-Chaparro, J., Ventura-León, J., Vilca, L. W., Carbajal-León, C., Valencia, P. D., Yupanqui-Lorenzo, D. E., Paredes-Angeles, R., Arias Gallegos, W. L., Reyes-Bossio, M., Delgado-Campusano, M., Gallegos, M., Rojas-Jara, C., Polanco-Carrasco, R., Cervigni, M., Martino, P., Lobos-Rivera, M. E., Moreta-Herrera, R., Palacios Segura, D. A., … Ayala-Colqui, J. (2023). 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. Illness, Crisis & Loss, 33(1), 215-247. https://doi.org/10.1177/10541373231208934 (Original work published 2025)
dc.identifier.doi.none.fl_str_mv	https://doi.org/10.1177/10541373231208934
dc.identifier.eissn.none.fl_str_mv	19329903
dc.identifier.issn.none.fl_str_mv	14999013
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/20.500.12313/5628
dc.identifier.url.none.fl_str_mv	https://journals.sagepub.com/doi/full/10.1177/10541373231208934
identifier_str_mv	Caycho-Rodríguez, T., Baños-Chaparro, J., Ventura-León, J., Vilca, L. W., Carbajal-León, C., Valencia, P. D., Yupanqui-Lorenzo, D. E., Paredes-Angeles, R., Arias Gallegos, W. L., Reyes-Bossio, M., Delgado-Campusano, M., Gallegos, M., Rojas-Jara, C., Polanco-Carrasco, R., Cervigni, M., Martino, P., Lobos-Rivera, M. E., Moreta-Herrera, R., Palacios Segura, D. A., … Ayala-Colqui, J. (2023). 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. Illness, Crisis & Loss, 33(1), 215-247. https://doi.org/10.1177/10541373231208934 (Original work published 2025) 19329903 14999013
url	https://doi.org/10.1177/10541373231208934 https://hdl.handle.net/20.500.12313/5628 https://journals.sagepub.com/doi/full/10.1177/10541373231208934
dc.language.iso.none.fl_str_mv	eng
language	eng
dc.relation.citationissue.none.fl_str_mv	1
dc.relation.citationvolume.none.fl_str_mv	33
dc.relation.ispartofjournal.none.fl_str_mv	International Journal of Forensic Mental Health
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spelling	Tomás Caycho-Rodríguez2736d248-21e2-447a-802e-97f5c84d65cf-1Jonatan Baños-Chaparro3393911d-4bd7-4190-91f9-f6c886263360-1José Ventura-León062f2f9b-8748-4926-b07a-fa9492330fa4-1Lindsey W. Vilcae0545870-81d2-491b-be50-e77c6b4de9aa-1Carlos Carbajal-Leónf1600a73-4d50-4688-b722-a538dc202363-1Pablo D. Valencia0a8dbf1a-7720-4215-9d48-190a939fcd79-1Daniel E. Yupanqui-Lorenzo681a4692-645e-4819-b5d6-485764fb4a5a-1Rubí Paredes-Angeles57fe56fe-0641-478c-820c-6d8d6fa85480-1Walter L. Arias Gallegosd7f013b2-bbea-4e01-89fe-a01882e8aba0-1Mario Reyes-Bossioc3241e81-2a77-4a05-93eb-b4ded4ca55fe-1Mariel Delgado-Campusano9f268a4a-867f-4d55-9db1-896d4b56e0f8-1Miguel Gallegosef6ef7c5-851c-42d7-a4d8-32d0a71606e8-1Claudio Rojas-Jarabcf7e112-d40b-4cf0-b495-05cf1382f227-1Roberto Polanco-Carrasco47900ccb-cd73-4641-a8f2-b59c103748fd-1Mauricio Cervigni44a74ed6-1d43-4ceb-ab25-3d607edac752-1Pablo Martino6a778fad-9b95-4e20-831f-3f7c01c00327-1Marlon Elías Lobos-Rivera9c2be86e-bed8-49cb-9ac0-31587ff31032-1Rodrigo Moreta-Herrera58be9b7f-b814-4d6d-a556-ccbb1ddbe962-1Diego Alejandro Palacios Seguracdd2df4d-021a-42fd-9b06-b02869f60581-1Antonio Samaniego-Pinhobb4caefa-accf-4e93-bef2-cf4bdbeca6a7-1Andrés Buschiazzo Figaresb3300972-46b8-4782-a60b-ec3d99fa3a34-1Diana Ximena Puerta-Cortés59cf97f4-f5c5-4945-9d46-dfa57d4a95c0-1Andrés Camargoac88172a-3b70-4ae4-b40e-fd081555626c-1Julio Torales28d03d9e-5c4d-4c8e-b233-7829f4dda12c-1J. Arkangel Monge Blancoa133448e-9574-4966-ac66-41f518969947-1Pedronel González83473444-1b9f-46f9-9d7b-40fa4398831e-1Vanessa Smith-Castroe38e75ce-df0b-48c7-927e-75d8236efecf-1Olimpia Petzold-Rodriguez4e500c12-77d9-44d8-8be0-3fdc46f23134-1Ibraín Enrique Corrales-Reyes06099421-9f28-4fc8-b33c-2c975e8e7488-1Raymundo Calderón42415385-2b89-41d5-bca9-f8f4ebe4dc03-1Wendy Yamilet Matute Rivera9af292d6-2515-422e-a657-5b7f5ce1c388-1Daniela Ferrufino-Borjac38ff614-f102-4b5d-8ec6-b54694378e5c-1Agueda Muñoz-del-Carpio-Toia5737ef25-e297-451f-a9cc-6a5c3ba1ff23-1Jorge Palacios7a812dbe-2052-4143-8e52-46e8799deae1-1Carmen Burgos-Videla4fde88fd-0488-4bdd-801a-ac8e5055de53-1Ana María Eduviges Florez León47d4d442-7aee-40b0-8c46-f9820b19eeba-1Ibeth Vergara03856ba2-2589-4d5f-818d-ac9b539ff160-1Diego Vegafec2886e-9de3-42cb-956d-3692232292e2-1Marion K. Schulmeyer1f6e5bb2-ee32-4dbc-812e-00186f0fb8a6-1Nicol A. Barria-Asenjoaa59b9bd-b7c7-48d7-91ac-4759f232db86-1Hassell Tatiana Urrutia Rios3b725d44-b2c8-4363-b075-e6e046363308-1Arelly Esther Lira Lira1230334a-3a9f-4259-96b6-f92b74256888-1Jesús Ayala-Colquidbdce672-584e-4f55-b8cb-40ee20fa814a-12025-09-02T23:15:16Z2025-09-02T23:15:16Z2023-10-26The 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.application/pdfCaycho-Rodríguez, T., Baños-Chaparro, J., Ventura-León, J., Vilca, L. W., Carbajal-León, C., Valencia, P. D., Yupanqui-Lorenzo, D. E., Paredes-Angeles, R., Arias Gallegos, W. L., Reyes-Bossio, M., Delgado-Campusano, M., Gallegos, M., Rojas-Jara, C., Polanco-Carrasco, R., Cervigni, M., Martino, P., Lobos-Rivera, M. E., Moreta-Herrera, R., Palacios Segura, D. A., … Ayala-Colqui, J. (2023). 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. Illness, Crisis & Loss, 33(1), 215-247. https://doi.org/10.1177/10541373231208934 (Original work published 2025)https://doi.org/10.1177/105413732312089341932990314999013https://hdl.handle.net/20.500.12313/5628https://journals.sagepub.com/doi/full/10.1177/10541373231208934engSAGE Publications LtdReino Unido133International Journal of Forensic Mental HealthAbdelkafi I., Loukil S., Romdhane Y. (2023). Economic uncertainty during COVID-19 pandemic in Latin America and Asia. Journal of the Knowledge Economy, 14, 1582–1601. https://doi.org/10.1007/s13132-021-00889-5Bai W., Xi H. T., Zhu Q., Ji M., Zhang H., Yang B. X., Xiang Y. T. (2021). Network analysis of anxiety and depressive symptoms among nursing students during the COVID-19 pandemic. Journal of Affective Disorders, 294, 753–760. https://doi.org/10.1016/j.jad.2021.07.072Baños-Chaparro J., Ynquillay-Lima P. (2023). Análisis de red del maltrato infantil e ideación suicida en adolescentes peruanos. Revista Cubana de Medicina Militar, 52(1), e02302418. https://revmedmilitar.sld.cu/index.php/mil/article/view/2418Bassey E. E., Gupta A., Kapoor A., Bansal A. (2022). COVID-19 and poverty in South America: The mental health implications. International Journal of Mental Health and Addiction, 21, 2954–2960. https://doi.org/10.1007/s11469-022-00765-6Beard C., Millner A. J., Forgeard M. J., Fried E. I., Hsu K. J., Treadway M. T., Björgvinsson T. (2016). Network analysis of depression and anxiety symptom relationships in a psychiatric sample. Psychological Medicine, 46(16), 3359–3369. https://doi.org/10.1017/S0033291716002300Borsboom D., Cramer A. O. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608Breen L. J., Mancini V. O., Lee S. A., Pappalardo E. A., Neimeyer R. A. (2022). Risk factors for dysfunctional grief and functional impairment for all causes of death during the COVID-19 pandemic: The mediating role of meaning. Death Studies, 46(1), 43–52. https://doi.org/10.1080/07481187.2021.1974666Bucacos E., Carballo P., Mello M., Ponce J. (2023). Policy responses to COVID-19 in Uruguay. Latin American Journal of Central Banking, 4(2), 100085. https://doi.org/10.1016/j.latcb.2023.100085Calhoun L. G., Cann A., Tedeschi R. G. (2010). The posttraumatic growth model: Sociocultural considerations. In Weiss T., Berger R. (Eds.), Posttraumatic growth and culturally competent practice: Lessons learned from around the globe (pp. 1–14). John Wiley & Sons.Campo-Arias A., De Mendieta C. T. (2021). Social determinants of mental health and the COVID-19 pandemic in low-income and middle-income countries. The Lancet Global Health, 9(8), e1029–e1030. https://doi.org/10.1016/S2214-109X(21)00253-9Caycho-Rodríguez T., Vilca L. W., Carbajal-León C., Valencia P. D., Yupanqui-Lorenzo D. E., Ventura-León J., Paredes-Angeles R., Arias Gallegos W. L., ... Ayala-Colqui J. (2023). Measurement invariance of the Spanish version of the 8-item Posttraumatic Growth Inventory-Short Form (PTGI-SF): A cross-cultural study in people who experienced the death of loved ones from 16 Latin American countries. Psychological Reports.Chen C., Tang S. (2021). Profiles of grief, post-traumatic stress, and post-traumatic growth among people bereaved due to COVID-19. European Journal of Psychotraumatology, 12(1), 1947563. https://doi.org/10.1080/20008198.2021.1947563Cheng L., Liu L. (2022). Exploring posttraumatic growth after the COVID-19 pandemic. Tourism Management, 90, 104474. https://doi.org/10.1016/j.tourman.2021.104474Constantin M. A., Schuurman N. K., Vermunt J. K. (2023). A general Monte Carlo method for sample size analysis in the context of network models. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000555Cordero Cordero T. (2022). Malestares y adaptaciones positivas de docentes de la Universidad de Costa Rica en tiempos de Pandemia por COVID-19. Actualidades Investigativas en Educación, 22(3), 95–129. https://doi.org/10.15517/aie.v22i3.52112Cramer A. O., Waldorp L. J., Van Der Maas H. L., Borsboom D. (2010). Comorbidity: A network perspective. Behavioral and Brain Sciences, 33(2–3), 137–150. https://doi.org/10.1017/S0140525X09991567Dalege J., Borsboom D., Van Harreveld F., Van Der Maas H. L. (2017). Network analysis on attitudes: a brief tutorial. Social Psychological and Personality Science, 8(5), 528–537. https://doi.org/10.1177/1948550617709827Dodou D., de Winter J. C. (2014). 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L., Dogmanas D., Brunet-Adami N., Bagattini N., Bernardi R. (2021). Using behavioural and social sciences to inform public policies during COVID-19, Uruguay. Bulletin of the World Health Organization, 99(11), 843–844. https://doi.org/10.2471/BLT.21.287071Goveas J. S., Shear M. K. (2020). Grief and the COVID-19 pandemic in older adults. The American Journal of Geriatric Psychiatry, 28(10), 1119–1125. https://doi.org/10.1016/j.jagp.2020.06.021Hale T., Angrist N., Goldszmidt R., Kira B., Petherick A., Phillips T., Tatlow H. (2021). A global panel database of pandemic policies (Oxford COVID-19 government response tracker). Nature Human Behaviour, 5(4), 529–538. https://doi.org/10.1038/s41562-021-01079-8Haslbeck J. M., Waldorp J. (2020). mgm: Estimating time-varying mixed graphical models in high-dimensional data. Journal of Statistical Software, 93(8), 1–46. https://doi.org/10.18637/jss.v093.i08Haslbeck J. M., Waldorp L. J. (2018). How well do network models predict observations? 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Psychological Methods 28(4), 925–946. https://doi.org/10.1037/met0000439Isvoranu A. M., Epskamp S., Waldorp L. J., Borsboom D. (2022). Network psychometrics with R. Routledge.Jones P. J. (2021). networktools: Tools for identifying important nodes in networks (R package version 1.4.0) [Computer software]. https://CRAN.R-project.org/package=networktoolsJones P. J., Ma R., McNally R. J. (2021). Bridge centrality: A network approach to understanding comorbidity. Multivariate Behavioral Research, 56(2), 353–367. https://doi.org/10.1080/00273171.2019.1614898Jordan D. G., Winer E. S., Salem T. (2020). The current status of temporal network analysis for clinical science: Considerations as the paradigm shifts? Journal of Clinical Psychology, 76(9), 1591–1612. https://doi.org/10.1002/jclp.22957Kalaitzaki A., Tsouvelas G., Tamiolaki A. (2022). Perceived posttraumatic growth and its psychosocial predictors during two consecutive COVID-19 lockdowns. 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Network analysis of posttraumatic growth and posttraumatic stress symptomatology in COVID-19 infected Peruvian adults. Journal of Research in Medical and Dental Science, 9(11), 61–67.Revelle W. (2018). Psych: Procedures for Personality and Psychological Research. Northwestern University.Rhodes A. M., Tran T. V. (2012). Predictors of posttraumatic stress and growth among black and white survivors of Hurricane Katrina: Does perceived quality of the governmental response matter? Race and Social Problems, 4(3–4), 144–157. https://doi.org/10.1007/s12552-012-9074-6Abdelkafi I., Loukil S., Romdhane Y. (2023). Economic uncertainty during COVID-19 pandemic in Latin America and Asia. Journal of the Knowledge Economy, 14, 1582–1601. https://doi.org/10.1007/s13132-021-00889-5 Web of Science Google Scholar Bai W., Xi H. T., Zhu Q., Ji M., Zhang H., Yang B. X., Xiang Y. T. (2021). Network analysis of anxiety and depressive symptoms among nursing students during the COVID-19 pandemic. Journal of Affective Disorders, 294, 753–760. https://doi.org/10.1016/j.jad.2021.07.072 PubMed Web of Science Google Scholar Baños-Chaparro J., Ynquillay-Lima P. (2023). Análisis de red del maltrato infantil e ideación suicida en adolescentes peruanos. Revista Cubana de Medicina Militar, 52(1), e02302418. https://revmedmilitar.sld.cu/index.php/mil/article/view/2418 Google Scholar Bassey E. E., Gupta A., Kapoor A., Bansal A. (2022). COVID-19 and poverty in South America: The mental health implications. International Journal of Mental Health and Addiction, 21, 2954–2960. https://doi.org/10.1007/s11469-022-00765-6 Web of Science Google Scholar Beard C., Millner A. J., Forgeard M. J., Fried E. I., Hsu K. J., Treadway M. T., Björgvinsson T. (2016). Network analysis of depression and anxiety symptom relationships in a psychiatric sample. Psychological Medicine, 46(16), 3359–3369. https://doi.org/10.1017/S0033291716002300 PubMed Web of Science Google Scholar Borsboom D., Cramer A. O. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608 PubMed Web of Science Google Scholar Breen L. J., Mancini V. O., Lee S. A., Pappalardo E. A., Neimeyer R. A. (2022). Risk factors for dysfunctional grief and functional impairment for all causes of death during the COVID-19 pandemic: The mediating role of meaning. Death Studies, 46(1), 43–52. https://doi.org/10.1080/07481187.2021.1974666 PubMed Web of Science Google Scholar Bucacos E., Carballo P., Mello M., Ponce J. (2023). Policy responses to COVID-19 in Uruguay. Latin American Journal of Central Banking, 4(2), 100085. https://doi.org/10.1016/j.latcb.2023.100085 Google Scholar Calhoun L. G., Cann A., Tedeschi R. G. (2010). The posttraumatic growth model: Sociocultural considerations. In Weiss T., Berger R. (Eds.), Posttraumatic growth and culturally competent practice: Lessons learned from around the globe (pp. 1–14). John Wiley & Sons. Crossref Google Scholar Campo-Arias A., De Mendieta C. T. (2021). Social determinants of mental health and the COVID-19 pandemic in low-income and middle-income countries. The Lancet Global Health, 9(8), e1029–e1030. https://doi.org/10.1016/S2214-109X(21)00253-9 PubMed Web of Science Google Scholar Caycho-Rodríguez T., Vilca L. W., Carbajal-León C., Valencia P. D., Yupanqui-Lorenzo D. E., Ventura-León J., Paredes-Angeles R., Arias Gallegos W. L., ... Ayala-Colqui J. (2023). Measurement invariance of the Spanish version of the 8-item Posttraumatic Growth Inventory-Short Form (PTGI-SF): A cross-cultural study in people who experienced the death of loved ones from 16 Latin American countries. Psychological Reports. Google Scholar Chen C., Tang S. (2021). Profiles of grief, post-traumatic stress, and post-traumatic growth among people bereaved due to COVID-19. European Journal of Psychotraumatology, 12(1), 1947563. https://doi.org/10.1080/20008198.2021.1947563 PubMed Web of Science Google Scholar Cheng L., Liu L. (2022). Exploring posttraumatic growth after the COVID-19 pandemic. Tourism Management, 90, 104474. https://doi.org/10.1016/j.tourman.2021.104474 PubMed Web of Science Google Scholar Constantin M. A., Schuurman N. K., Vermunt J. K. (2023). A general Monte Carlo method for sample size analysis in the context of network models. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000555 PubMed Web of Science Google Scholar Cordero Cordero T. (2022). Malestares y adaptaciones positivas de docentes de la Universidad de Costa Rica en tiempos de Pandemia por COVID-19. Actualidades Investigativas en Educación, 22(3), 95–129. https://doi.org/10.15517/aie.v22i3.52112 Google Scholar Cramer A. O., Waldorp L. J., Van Der Maas H. L., Borsboom D. (2010). Comorbidity: A network perspective. Behavioral and Brain Sciences, 33(2–3), 137–150. https://doi.org/10.1017/S0140525X09991567 PubMed Web of Science Google Scholar Dalege J., Borsboom D., Van Harreveld F., Van Der Maas H. L. (2017). Network analysis on attitudes: a brief tutorial. Social Psychological and Personality Science, 8(5), 528–537. https://doi.org/10.1177/1948550617709827 PubMed Web of Science Google Scholar Dodou D., de Winter J. C. (2014). Social desirability is the same in offline, online, and paper surveys: A meta-analysis. Computers in Human Behavior, 36, 487–495. https://doi.org/10.1016/j.chb.2014.04.005 Web of Science Google Scholar Eisma M. C., Tamminga A., Smid G. E., Boelen P. A. (2021). Acute grief after deaths due to COVID-19, natural causes and unnatural causes: An empirical comparison. Journal of Affective Disorders, 278, 54–56. https://doi.org/10.1016/j.jad.2020.09.049 PubMed Web of Science Google Scholar El Khoury-Malhame M., Sfeir M., Hallit S., Sawma T. (2023). Factors associated with posttraumatic growth: Gratitude, PTSD and distress; one year into the COVID-19 pandemic in Lebanon. Current Psychology, 1–10. https://doi.org/10.1007/s12144-022-04159-8 PubMed Web of Science Google Scholar Epskamp S., Borsboom D., Fried E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50, 195–212. https://doi.org/10.3758/s13428-017-0862-1 PubMed Web of Science Google Scholar Finstad G. L., Giorgi G., Lulli L. G., Pandolfi C., Foti G., León-Perez J. M., Mucci N. (2021). Resilience, coping strategies and posttraumatic growth in the workplace following COVID-19: A narrative review on the positive aspects of trauma. International Journal of Environmental Research and Public Health, 18(18), 9453. https://doi.org/10.3390/ijerph18189453 PubMed Web of Science Google Scholar Fruchterman T. M., Reingold E. M. (1991). Graph drawing by force-directed placement. Journal of Software: Practice and Experience, 21(11), 1129–1164. https://doi.org/10.1002/spe.4380211102 Web of Science Google Scholar Garrido-Hernansaiz H., Rodríguez-Rey R., Collazo-Castiñeira P., Collado S. (2023). The Posttraumatic Growth Inventory-Short Form (PTGI-SF): A psychometric study of the Spanish population during the COVID-19 pandemic. Current Psychology, 42, 17513–17522. https://doi.org/10.1007/s12144-021-02645-z Web of Science Google Scholar Gesi C., Carmassi C., Cerveri G., Carpita B., Cremone I. M., Dell'Osso L. (2020). Complicated grief: What to expect after the coronavirus pandemic. Frontiers in Psychiatry, 11, 489. https://doi.org/10.3389/fpsyt.2020.00489 PubMed Web of Science Google Scholar Gómez A. L., Dogmanas D., Brunet-Adami N., Bagattini N., Bernardi R. (2021). Using behavioural and social sciences to inform public policies during COVID-19, Uruguay. Bulletin of the World Health Organization, 99(11), 843–844. https://doi.org/10.2471/BLT.21.287071 PubMed Web of Science Google Scholar Goveas J. S., Shear M. K. (2020). Grief and the COVID-19 pandemic in older adults. The American Journal of Geriatric Psychiatry, 28(10), 1119–1125. https://doi.org/10.1016/j.jagp.2020.06.021 PubMed Web of Science Google Scholar Hale T., Angrist N., Goldszmidt R., Kira B., Petherick A., Phillips T., Tatlow H. (2021). A global panel database of pandemic policies (Oxford COVID-19 government response tracker). Nature Human Behaviour, 5(4), 529–538. https://doi.org/10.1038/s41562-021-01079-8 PubMed Web of Science Google Scholar Haslbeck J. M., Waldorp J. (2020). mgm: Estimating time-varying mixed graphical models in high-dimensional data. Journal of Statistical Software, 93(8), 1–46. https://doi.org/10.18637/jss.v093.i08 Web of Science Google Scholar Haslbeck J. M., Waldorp L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50, 853–861. https://doi.org/10.3758/s13428-017-0910-x PubMed Web of Science Google Scholar Hevey D. (2018). Network analysis: A brief overview and tutorial. Health Psychology and Behavioral Medicine, 6(1), 301–328. https://doi.org/10.1080/21642850.2018.1521283 PubMed Google Scholar Holman E. A., Grisham E. L. (2020). When time falls apart: The public health implications of distorted time perception in the age of COVID-19. Psychological Trauma: Theory, Research, Practice, and Policy, 12(S1), S63. https://doi.org/10.1037/tra0000756 Web of Science Google Scholar Hyun S., Wong G. T. F., Levy-Carrick N. C., Charmaraman L., Cozier Y., Yip T., Liu C. H. (2021). Psychosocial correlates of posttraumatic growth among US young adults during the COVID-19 pandemic. Psychiatry Research, 302, 114035. https://doi.org/10.1016/j.psychres.2021.114035 PubMed Web of Science Google Scholar Isvoranu A. M., Epskamp S. (2021). Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers. Psychological Methods 28(4), 925–946. https://doi.org/10.1037/met0000439 PubMed Web of Science Google Scholar Isvoranu A. M., Epskamp S., Waldorp L. J., Borsboom D. (2022). Network psychometrics with R. Routledge. Crossref Google Scholar Jones P. J. (2021). networktools: Tools for identifying important nodes in networks (R package version 1.4.0) [Computer software]. https://CRAN.R-project.org/package=networktools Google Scholar Jones P. J., Ma R., McNally R. J. (2021). Bridge centrality: A network approach to understanding comorbidity. 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(2022). Depression, anxiety and post-traumatic growth among COVID-19 survivors six-month after discharge. European Journal of Psychotraumatology, 13(1), 2055294. https://doi.org/10.1080/20008198.2022.2055294© The Author(s) 2023info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/https://journals.sagepub.com/doi/full/10.1177/10541373231208934Crecimiento postraumáticoMuerte de un ser querido - Crecimiento postraumáticoDynamic networksLatin AmericanMental healthPosttraumatic growthTraumatic eventsNetwork 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 CountriesArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPublicationORIGINALArtículo.pdfArtículo.pdfapplication/pdf86450https://repositorio.unibague.edu.co/bitstreams/ca4cb83b-062a-4c4d-893d-2961d8df9555/downloadf156f5cd1eefc83134b6ff2f5a119293MD52TEXTArtículo.pdf.txtArtículo.pdf.txtExtracted texttext/plain2301https://repositorio.unibague.edu.co/bitstreams/21bb3c16-f7e5-49dc-9e7c-acdbac144c8b/downloadbe81583d93b4ec5e84348bb6d5d9e169MD53THUMBNAILArtículo.pdf.jpgArtículo.pdf.jpgIM Thumbnailimage/jpeg26994https://repositorio.unibague.edu.co/bitstreams/7bfe9116-c06f-4b75-a2af-a8db13148dbe/downloadcedecb911825a0cd90b35df7af1a0e87MD54LICENSEArtículo.txtArtículo.txttext/plain; charset=utf-8134https://repositorio.unibague.edu.co/bitstreams/b33f6f11-2968-4d34-8dc1-ab980decac86/download2fa3e590786b9c0f3ceba1b9656b7ac3MD5120.500.12313/5628oai:repositorio.unibague.edu.co:20.500.12313/56282025-09-12 12:12:54.771https://creativecommons.org/licenses/by-nc/4.0/© The Author(s) 2023https://repositorio.unibague.edu.coRepositorio Institucional Universidad de Ibaguébdigital@metabiblioteca.comQ3JlYXRpdmUgQ29tbW9ucyBBdHRyaWJ1dGlvbi1Ob25Db21tZXJjaWFsLU5vRGVyaXZhdGl2ZXMgNC4wIEludGVybmF0aW9uYWwgTGljZW5zZQ0KaHR0cHM6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LW5jLW5kLzQuMC8=

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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