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Détail de l'auteur
Auteur George A. BONANNO |
Documents disponibles écrits par cet auteur (2)
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Annual Research Review: Positive adjustment to adversity – trajectories of minimal–impact resilience and emergent resilience / George A. BONANNO in Journal of Child Psychology and Psychiatry, 54-4 (April 2013)
[article]
Titre : Annual Research Review: Positive adjustment to adversity – trajectories of minimal–impact resilience and emergent resilience Type de document : Texte imprimé et/ou numérique Auteurs : George A. BONANNO, Auteur ; Erica D. DIMINICH, Auteur Article en page(s) : p.378-401 Mots-clés : Emergent resilience minimal-impact resilience traumatic events latent growth mixture modeling (LGMM) Index. décimale : PER Périodiques Résumé : Background: Research on resilience in the aftermath of potentially traumatic life events (PTE) is still evolving. For decades, researchers have documented resilience in children exposed to corrosive early environments, such as poverty or chronic maltreatment. Relatively more recently, the study of resilience has migrated to the investigation of isolated PTE in adults. Methods: In this article, we first consider some of the key differences in the conceptualization of resilience following chronic adversity versus resilience following single-incident traumas, and then describe some of the misunderstandings that have developed about these constructs. To organize our discussion, we introduce the terms emergent resilience and minimal-impact resilience to represent trajectories of positive adjustment in these two domains, respectively. Results: We focused in particular on minimal-impact resilience, and reviewed recent advances in statistical modeling of latent trajectories that have informed the most recent research on minimal-impact resilience in both children and adults and the variables that predict it, including demographic variables, exposure, past and current stressors, resources, personality, positive emotion, coping and appraisal, and flexibility in coping and emotion regulation. Conclusions: The research on minimal-impact resilience is nascent. Further research is warranted with implications for a multiple levels of analysis approach to elucidate the processes that may mitigate or modify the impact of a PTE at different developmental stages. En ligne : http://dx.doi.org/10.1111/jcpp.12021 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=194
in Journal of Child Psychology and Psychiatry > 54-4 (April 2013) . - p.378-401[article] Annual Research Review: Positive adjustment to adversity – trajectories of minimal–impact resilience and emergent resilience [Texte imprimé et/ou numérique] / George A. BONANNO, Auteur ; Erica D. DIMINICH, Auteur . - p.378-401.
in Journal of Child Psychology and Psychiatry > 54-4 (April 2013) . - p.378-401
Mots-clés : Emergent resilience minimal-impact resilience traumatic events latent growth mixture modeling (LGMM) Index. décimale : PER Périodiques Résumé : Background: Research on resilience in the aftermath of potentially traumatic life events (PTE) is still evolving. For decades, researchers have documented resilience in children exposed to corrosive early environments, such as poverty or chronic maltreatment. Relatively more recently, the study of resilience has migrated to the investigation of isolated PTE in adults. Methods: In this article, we first consider some of the key differences in the conceptualization of resilience following chronic adversity versus resilience following single-incident traumas, and then describe some of the misunderstandings that have developed about these constructs. To organize our discussion, we introduce the terms emergent resilience and minimal-impact resilience to represent trajectories of positive adjustment in these two domains, respectively. Results: We focused in particular on minimal-impact resilience, and reviewed recent advances in statistical modeling of latent trajectories that have informed the most recent research on minimal-impact resilience in both children and adults and the variables that predict it, including demographic variables, exposure, past and current stressors, resources, personality, positive emotion, coping and appraisal, and flexibility in coping and emotion regulation. Conclusions: The research on minimal-impact resilience is nascent. Further research is warranted with implications for a multiple levels of analysis approach to elucidate the processes that may mitigate or modify the impact of a PTE at different developmental stages. En ligne : http://dx.doi.org/10.1111/jcpp.12021 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=194 Understanding posttraumatic stress trajectories in adolescent females: A strength-based machine learning approach examining risk and protective factors including online behaviors / George A. BONANNO ; Shuquan CHEN ; Toria HERD ; Sienna STRONG-JONES ; Sunshine S ; Jennie G. NOLL in Development and Psychopathology, 35-4 (October 2023)
[article]
Titre : Understanding posttraumatic stress trajectories in adolescent females: A strength-based machine learning approach examining risk and protective factors including online behaviors Type de document : Texte imprimé et/ou numérique Auteurs : George A. BONANNO, Auteur ; Shuquan CHEN, Auteur ; Toria HERD, Auteur ; Sienna STRONG-JONES, Auteur ; Sunshine S, Auteur ; Jennie G. NOLL, Auteur Article en page(s) : p.1794-1807 Langues : Anglais (eng) Mots-clés : adolescence childhood sexual abuse internet use posttraumatic stress trajectories resilience Index. décimale : PER Périodiques Résumé : Heterogeneity in the course of posttraumatic stress symptoms (PTSS) following a major life trauma such as childhood sexual abuse (CSA) can be attributed to numerous contextual factors, psychosocial risk, and family/peer support. The present study investigates a comprehensive set of baseline psychosocial risk and protective factors including online behaviors predicting empirically derived PTSS trajectories over time. Females aged 12-16 years (N = 440); 156 with substantiated CSA; 284 matched comparisons with various self-reported potentially traumatic events (PTEs) were assessed at baseline and then annually for 2 subsequent years. Latent growth mixture modeling (LGMM) was used to derive PTSS trajectories, and least absolute shrinkage and selection operator (LASSO) logistic regression was used to investigate psychosocial predictors including online behaviors of trajectories. LGMM revealed four PTSS trajectories: resilient (52.1%), emerging (9.3%), recovering (19.3%), and chronic (19.4%). Of the 23 predictors considered, nine were retained in the LASSO model discriminating resilient versus chronic trajectories including the absence of CSA and other PTEs, low incidences of exposure to sexual content online, minority ethnicity status, and the presence of additional psychosocial protective factors. Results provide insights into possible intervention targets to promote resilience in adolescence following PTEs. En ligne : https://dx.doi.org/10.1017/S0954579422000475 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=515
in Development and Psychopathology > 35-4 (October 2023) . - p.1794-1807[article] Understanding posttraumatic stress trajectories in adolescent females: A strength-based machine learning approach examining risk and protective factors including online behaviors [Texte imprimé et/ou numérique] / George A. BONANNO, Auteur ; Shuquan CHEN, Auteur ; Toria HERD, Auteur ; Sienna STRONG-JONES, Auteur ; Sunshine S, Auteur ; Jennie G. NOLL, Auteur . - p.1794-1807.
Langues : Anglais (eng)
in Development and Psychopathology > 35-4 (October 2023) . - p.1794-1807
Mots-clés : adolescence childhood sexual abuse internet use posttraumatic stress trajectories resilience Index. décimale : PER Périodiques Résumé : Heterogeneity in the course of posttraumatic stress symptoms (PTSS) following a major life trauma such as childhood sexual abuse (CSA) can be attributed to numerous contextual factors, psychosocial risk, and family/peer support. The present study investigates a comprehensive set of baseline psychosocial risk and protective factors including online behaviors predicting empirically derived PTSS trajectories over time. Females aged 12-16 years (N = 440); 156 with substantiated CSA; 284 matched comparisons with various self-reported potentially traumatic events (PTEs) were assessed at baseline and then annually for 2 subsequent years. Latent growth mixture modeling (LGMM) was used to derive PTSS trajectories, and least absolute shrinkage and selection operator (LASSO) logistic regression was used to investigate psychosocial predictors including online behaviors of trajectories. LGMM revealed four PTSS trajectories: resilient (52.1%), emerging (9.3%), recovering (19.3%), and chronic (19.4%). Of the 23 predictors considered, nine were retained in the LASSO model discriminating resilient versus chronic trajectories including the absence of CSA and other PTEs, low incidences of exposure to sexual content online, minority ethnicity status, and the presence of additional psychosocial protective factors. Results provide insights into possible intervention targets to promote resilience in adolescence following PTEs. En ligne : https://dx.doi.org/10.1017/S0954579422000475 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=515