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)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 54-4 (April 2013) . - p.378-401 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 [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

Depressive and anxiety symptom trajectories in Polish adolescents during the COVID-19 pandemic and the outbreak of war in Ukraine: uncovering the role of family relations / Ma?gorzata GAMBIN in Development and Psychopathology, 36-4 (October 2024)  

Public ISBD [article]  inDevelopment and Psychopathology > 36-4 (October 2024) . - p.1948-1958 Titre : Depressive and anxiety symptom trajectories in Polish adolescents during the COVID-19 pandemic and the outbreak of war in Ukraine: uncovering the role of family relations Type de document : Texte imprimé et/ou numérique Auteurs : Ma?gorzata GAMBIN, Auteur ; Anna WNUK, Auteur ; Tomasz OLEKSY, Auteur ; Marcin S?KOWSKI, Auteur ; Karolina KUBICKA, Auteur ; Ma?gorzata WO?NIAK-PRUS, Auteur ; Carla SHARP, Auteur ; George A. BONANNO, Auteur Article en page(s) : p.1948-1958 Langues : Anglais (eng) Mots-clés : COVID-19  Depressive symptoms  anxiety symptoms  trajectories  war Index. décimale : PER Périodiques Résumé : Introduction:The aim of the study was to investigate longitudinal trajectories of change in anxiety and depression symptoms in Polish adolescents during the second year of the COVID-19 pandemic and after the outbreak of the war in Ukraine. Additionally, we aimed to identify risk/protective factors and outcomes associated with these trajectories.Method:We collected data in three waves between November 2021 and May 2022. Adolescents (N = 281 in the first wave) completed the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, the Filial Responsibility Scale for Youth, and questions related to the COVID-19 pandemic and war in Ukraine.Results:We identified three trajectories of depressive symptoms: resilient with low, stable symptoms (71% of participants), chronically elevated symptoms (11%), and acute symptoms followed by recovery (18%). We distinguished two trajectories of anxiety symptoms: resilient (75%) and chronic (25%). Non-resilient trajectories were predicted by higher levels of familial unfairness (perceived lack of equality and reciprocity in the family), relationship difficulties at school and at home, older age, and poor socioeconomic status. Chronic depressive and anxiety symptoms were associated with higher war-related concerns.Discussion:These findings can inform preventive and therapeutic interventions for at-risk adolescents to reduce negative long-term outcomes of social crises. En ligne : https://dx.doi.org/10.1017/S095457942300130X Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=539 [article] Depressive and anxiety symptom trajectories in Polish adolescents during the COVID-19 pandemic and the outbreak of war in Ukraine: uncovering the role of family relations [Texte imprimé et/ou numérique] / Ma?gorzata GAMBIN, Auteur ; Anna WNUK, Auteur ; Tomasz OLEKSY, Auteur ; Marcin S?KOWSKI, Auteur ; Karolina KUBICKA, Auteur ; Ma?gorzata WO?NIAK-PRUS, Auteur ; Carla SHARP, Auteur ; George A. BONANNO, Auteur . - p.1948-1958. Langues : Anglais (eng) in Development and Psychopathology > 36-4 (October 2024) . - p.1948-1958 Mots-clés : COVID-19  Depressive symptoms  anxiety symptoms  trajectories  war Index. décimale : PER Périodiques Résumé : Introduction:The aim of the study was to investigate longitudinal trajectories of change in anxiety and depression symptoms in Polish adolescents during the second year of the COVID-19 pandemic and after the outbreak of the war in Ukraine. Additionally, we aimed to identify risk/protective factors and outcomes associated with these trajectories.Method:We collected data in three waves between November 2021 and May 2022. Adolescents (N = 281 in the first wave) completed the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, the Filial Responsibility Scale for Youth, and questions related to the COVID-19 pandemic and war in Ukraine.Results:We identified three trajectories of depressive symptoms: resilient with low, stable symptoms (71% of participants), chronically elevated symptoms (11%), and acute symptoms followed by recovery (18%). We distinguished two trajectories of anxiety symptoms: resilient (75%) and chronic (25%). Non-resilient trajectories were predicted by higher levels of familial unfairness (perceived lack of equality and reciprocity in the family), relationship difficulties at school and at home, older age, and poor socioeconomic status. Chronic depressive and anxiety symptoms were associated with higher war-related concerns.Discussion:These findings can inform preventive and therapeutic interventions for at-risk adolescents to reduce negative long-term outcomes of social crises. En ligne : https://dx.doi.org/10.1017/S095457942300130X Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=539

Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach / Huinan LIU in Development and Psychopathology, 36-3 (August 2024)  

Public ISBD [article]  inDevelopment and Psychopathology > 36-3 (August 2024) . - p.1503-1519 Titre : Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach Type de document : Texte imprimé et/ou numérique Auteurs : Huinan LIU, Auteur ; Wai Kai HOU, Auteur ; Esther Yuet Ying LAU, Auteur ; Jeffrey L. BIRK, Auteur ; George A. BONANNO, Auteur Article en page(s) : p.1503-1519 Langues : Anglais (eng) Mots-clés : juvenile offenders  machine learning  psychopathology  resilience  trajectories Index. décimale : PER Périodiques Résumé : Mental ill health is more common among juvenile offenders relative to adolescents in general. Little is known about individual differences in their long-term psychological adaptation and its predictors from multiple aspects of their life. This study aims to identify heterogeneous trajectories of probable psychiatric conditions and their predictors. Participants included 574 juvenile offenders who were first convicted for serious crimes and without detention history. The participants were assessed at 11 timepoints over seven years (2000-2010). Growth mixture modeling revealed the same three trajectories for both probable anxiety and probable depression: stable low trajectory (75.96%; 75.78%), stable high trajectory (15.16%; 10.98%), and recovery (8.89%, 13.24%). Least absolute shrinkage and selection operator (LASSO) logistic regression identified three multilevel predictors for memberships of different trajectories. Risk factors against stable low trajectory lay within personal (e.g., neuroticism), relationship (e.g., parental hostility), and contextual levels (e.g., chaotic neighborhood). Resilience factors for stable low trajectory included strong work orientation and low education level of father. Recovery was predicted by Black race, self-identity, high education level of father, and nonincarcerated sentencing. Our findings suggest that both psychopathology and psychological resilience could be predicted by multiple personal, relationship, and contextual factors in the social ecology of juvenile offenders. En ligne : https://dx.doi.org/10.1017/S0954579423000755 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=539 [article] Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach [Texte imprimé et/ou numérique] / Huinan LIU, Auteur ; Wai Kai HOU, Auteur ; Esther Yuet Ying LAU, Auteur ; Jeffrey L. BIRK, Auteur ; George A. BONANNO, Auteur . - p.1503-1519. Langues : Anglais (eng) in Development and Psychopathology > 36-3 (August 2024) . - p.1503-1519 Mots-clés : juvenile offenders  machine learning  psychopathology  resilience  trajectories Index. décimale : PER Périodiques Résumé : Mental ill health is more common among juvenile offenders relative to adolescents in general. Little is known about individual differences in their long-term psychological adaptation and its predictors from multiple aspects of their life. This study aims to identify heterogeneous trajectories of probable psychiatric conditions and their predictors. Participants included 574 juvenile offenders who were first convicted for serious crimes and without detention history. The participants were assessed at 11 timepoints over seven years (2000-2010). Growth mixture modeling revealed the same three trajectories for both probable anxiety and probable depression: stable low trajectory (75.96%; 75.78%), stable high trajectory (15.16%; 10.98%), and recovery (8.89%, 13.24%). Least absolute shrinkage and selection operator (LASSO) logistic regression identified three multilevel predictors for memberships of different trajectories. Risk factors against stable low trajectory lay within personal (e.g., neuroticism), relationship (e.g., parental hostility), and contextual levels (e.g., chaotic neighborhood). Resilience factors for stable low trajectory included strong work orientation and low education level of father. Recovery was predicted by Black race, self-identity, high education level of father, and nonincarcerated sentencing. Our findings suggest that both psychopathology and psychological resilience could be predicted by multiple personal, relationship, and contextual factors in the social ecology of juvenile offenders. En ligne : https://dx.doi.org/10.1017/S0954579423000755 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=539

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)  

Public ISBD [article]  inDevelopment and Psychopathology > 35-4 (October 2023) . - p.1794-1807 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 [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

---

1 (1 - 4 / 4)