Predicting the trajectory of non-suicidal self-injury among adolescents / Geneva E. Mason ; Randy P. AUERBACH ; Jeremy G. Stewart in Journal of Child Psychology and Psychiatry, 66-2 (February 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-2 (February 2025) . - p.189-201 Titre : Predicting the trajectory of non-suicidal self-injury among adolescents : Journal of Child Psychology and Psychiatry Type de document : texte imprimé Auteurs : Geneva E. Mason, Auteur ; Randy P. AUERBACH, Auteur ; Jeremy G. Stewart, Auteur Article en page(s) : p.189-201 Langues : Anglais (eng) Mots-clés : Adolescence  self-injury  suicidal behavior  longitudinal studies  machine learning Index. décimale : PER Périodiques Résumé : Background Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiatric treatment and the months post-discharge is a high-risk period for self-injurious behavior. Thus, identifying predictors that shape the course of post-discharge NSSI may provide insights into ways to improve clinical outcomes. Accordingly, we used machine learning to identify the strongest predictors of NSSI trajectories drawn from a comprehensive clinical assessment. Methods The study included adolescents (N 612; females n 435; 71.1%) aged 13 19-years-old (M 15.6, SD 1.4) undergoing inpatient treatment. Youth were administered clinical interviews and symptom questionnaires at intake (baseline) and before termination. NSSI frequency was assessed at 1-, 3-, and 6-month follow-ups. Latent class growth analyses were used to group adolescents based on their pattern of NSSI across follow-ups. Results Three classes were identified: Low Stable (n 83), Moderate Fluctuating (n 260), and High Persistent (n 269). Important predictors of the High Persistent class in our regularized regression models (LASSO) included baseline psychiatric symptoms and comorbidity, past-week suicidal ideation (SI) severity, lifetime average and worst-point SI intensity, and NSSI in the past 30 days (bs 0.75 2.33). Only worst-point lifetime suicide ideation intensity was identified as a predictor of the Low Stable class (b 8.82); no predictors of the Moderate Fluctuating class emerged. Conclusions This study found a set of intake clinical variables that indicate which adolescents may experience persistent NSSI post-discharge. Accordingly, this may help identify youth that may benefit from additional monitoring and support post-hospitalization. En ligne : https://doi.org/10.1111/jcpp.14046 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=545 [article] Predicting the trajectory of non-suicidal self-injury among adolescents : Journal of Child Psychology and Psychiatry [texte imprimé] / Geneva E. Mason, Auteur ; Randy P. AUERBACH, Auteur ; Jeremy G. Stewart, Auteur . - p.189-201. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-2 (February 2025) . - p.189-201 Mots-clés : Adolescence  self-injury  suicidal behavior  longitudinal studies  machine learning Index. décimale : PER Périodiques Résumé : Background Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiatric treatment and the months post-discharge is a high-risk period for self-injurious behavior. Thus, identifying predictors that shape the course of post-discharge NSSI may provide insights into ways to improve clinical outcomes. Accordingly, we used machine learning to identify the strongest predictors of NSSI trajectories drawn from a comprehensive clinical assessment. Methods The study included adolescents (N 612; females n 435; 71.1%) aged 13 19-years-old (M 15.6, SD 1.4) undergoing inpatient treatment. Youth were administered clinical interviews and symptom questionnaires at intake (baseline) and before termination. NSSI frequency was assessed at 1-, 3-, and 6-month follow-ups. Latent class growth analyses were used to group adolescents based on their pattern of NSSI across follow-ups. Results Three classes were identified: Low Stable (n 83), Moderate Fluctuating (n 260), and High Persistent (n 269). Important predictors of the High Persistent class in our regularized regression models (LASSO) included baseline psychiatric symptoms and comorbidity, past-week suicidal ideation (SI) severity, lifetime average and worst-point SI intensity, and NSSI in the past 30 days (bs 0.75 2.33). Only worst-point lifetime suicide ideation intensity was identified as a predictor of the Low Stable class (b 8.82); no predictors of the Moderate Fluctuating class emerged. Conclusions This study found a set of intake clinical variables that indicate which adolescents may experience persistent NSSI post-discharge. Accordingly, this may help identify youth that may benefit from additional monitoring and support post-hospitalization. En ligne : https://doi.org/10.1111/jcpp.14046 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=545

The Stress and Adversity Inventory for Adolescents (Adolescent STRAIN): associations with mental and physical health, risky behaviors, and psychiatric diagnoses in youth seeking treatment / George M. SLAVICH in Journal of Child Psychology and Psychiatry, 60-9 (September 2019)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 60-9 (September 2019) . - p.998-1009 Titre : The Stress and Adversity Inventory for Adolescents (Adolescent STRAIN): associations with mental and physical health, risky behaviors, and psychiatric diagnoses in youth seeking treatment Type de document : texte imprimé Auteurs : George M. SLAVICH, Auteur ; Jeremy G. Stewart, Auteur ; Erika C. ESPOSITO, Auteur ; Grant S. SHIELDS, Auteur ; Randy P. AUERBACH, Auteur Article en page(s) : p.998-1009 Langues : Anglais (eng) Mots-clés : Life stress  adolescence  assessment  health  psychopathology Index. décimale : PER Périodiques Résumé : BACKGROUND: Numerous theories have posited that stressors occurring over the lifespan may exert a cumulative effect on psychological and biological processes that increase individuals' risk for a variety of mental and physical health problems. Given the difficulty associated with assessing lifetime stress exposure, however, few empirical studies have directly tested these cumulative risk models of psychopathology and human health. METHOD: To address this issue, we examined the usability, acceptability, concurrent validity, and predictive validity of the recently developed Stress and Adversity Inventory for Adolescents (Adolescent STRAIN) in 338 youth (Mage = 15.64; 229 females) seeking mental health treatment. RESULTS: The Adolescent STRAIN achieved high acceptability and was completed in approximately 25 min (interquartile range: 20-32 min). Concurrent associations with other measures of early adversity (Childhood Trauma Questionnaire-Short Form) and interpersonal stress (Revised Peer Experiences Questionnaire) were very good (rs = .50-.59). In analyses that adjusted for participants' age, sex, and race, the STRAIN was significantly associated with depression, anxiety, and anhedonia severity; general mental and physical health complaints; risky behavior engagement; and number of interviewer-based psychiatric diagnoses (betas = .16-.52; risk ratios = 1.006-1.014). Contrary to classic theories of stress which assume that different stressors exert similar effects on health, substantial differences were observed across the two stressor types, twelve life domains, and five core social-psychological characteristics assessed by the Adolescent STRAIN. CONCLUSIONS: These data confirm the relevance of lifetime stress exposure for multiple health outcomes in adolescence, which can in turn inform existing theories of lifespan health. Because stress is a common presenting problem in hospitals and clinics, these data also suggest the possibility of using the Adolescent STRAIN to generate stress exposure profiles for case conceptualization and treatment planning purposes. En ligne : http://dx.doi.org/10.1111/jcpp.13038 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405 [article] The Stress and Adversity Inventory for Adolescents (Adolescent STRAIN): associations with mental and physical health, risky behaviors, and psychiatric diagnoses in youth seeking treatment [texte imprimé] / George M. SLAVICH, Auteur ; Jeremy G. Stewart, Auteur ; Erika C. ESPOSITO, Auteur ; Grant S. SHIELDS, Auteur ; Randy P. AUERBACH, Auteur . - p.998-1009. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 60-9 (September 2019) . - p.998-1009 Mots-clés : Life stress  adolescence  assessment  health  psychopathology Index. décimale : PER Périodiques Résumé : BACKGROUND: Numerous theories have posited that stressors occurring over the lifespan may exert a cumulative effect on psychological and biological processes that increase individuals' risk for a variety of mental and physical health problems. Given the difficulty associated with assessing lifetime stress exposure, however, few empirical studies have directly tested these cumulative risk models of psychopathology and human health. METHOD: To address this issue, we examined the usability, acceptability, concurrent validity, and predictive validity of the recently developed Stress and Adversity Inventory for Adolescents (Adolescent STRAIN) in 338 youth (Mage = 15.64; 229 females) seeking mental health treatment. RESULTS: The Adolescent STRAIN achieved high acceptability and was completed in approximately 25 min (interquartile range: 20-32 min). Concurrent associations with other measures of early adversity (Childhood Trauma Questionnaire-Short Form) and interpersonal stress (Revised Peer Experiences Questionnaire) were very good (rs = .50-.59). In analyses that adjusted for participants' age, sex, and race, the STRAIN was significantly associated with depression, anxiety, and anhedonia severity; general mental and physical health complaints; risky behavior engagement; and number of interviewer-based psychiatric diagnoses (betas = .16-.52; risk ratios = 1.006-1.014). Contrary to classic theories of stress which assume that different stressors exert similar effects on health, substantial differences were observed across the two stressor types, twelve life domains, and five core social-psychological characteristics assessed by the Adolescent STRAIN. CONCLUSIONS: These data confirm the relevance of lifetime stress exposure for multiple health outcomes in adolescence, which can in turn inform existing theories of lifespan health. Because stress is a common presenting problem in hospitals and clinics, these data also suggest the possibility of using the Adolescent STRAIN to generate stress exposure profiles for case conceptualization and treatment planning purposes. En ligne : http://dx.doi.org/10.1111/jcpp.13038 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405

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