Determining the key childhood and adolescent risk factors for future BPD symptoms using regularized regression: comparison to depression and conduct disorder / Joseph E. BEENEY in Journal of Child Psychology and Psychiatry, 62-2 (February 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.223-231 Titre : Determining the key childhood and adolescent risk factors for future BPD symptoms using regularized regression: comparison to depression and conduct disorder Type de document : Texte imprimé et/ou numérique Auteurs : Joseph E. BEENEY, Auteur ; Erika E. FORBES, Auteur ; Alison E. HIPWELL, Auteur ; Melissa NANCE, Auteur ; Alexis MATTIA, Auteur ; Joely M. LAWLESS, Auteur ; Layla BANIHASHEMI, Auteur ; Stephanie D. STEPP, Auteur Année de publication : 2021 Article en page(s) : p.223-231 Langues : Anglais (eng) Mots-clés : Risk factors  borderline personality disorder  comorbidity  longitudinal studies  machine learning Index. décimale : PER Périodiques Résumé : OBJECTIVE: Research has yielded factors considered critical to risk for borderline personality disorder (BPD). Yet, these factors overlap and are relevant to other disorders, like depression and conduct disorder (CD). Regularized regression, a machine learning approach, was developed to allow identification of the most important variables in large datasets with correlated predictors. We aimed to identify critical predictors of BPD symptoms in late adolescence (ages 16-18) and determine the specificity of factors to BPD versus disorders with putatively similar etiology. METHOD: We used a prospective longitudinal dataset (n = 2,450) of adolescent girls assessed on a range of clinical, psychosocial, and demographic factors, highlighted by previous research on BPD. Predictors were grouped by developmental periods: late childhood (8-10) and early (11-13) and mid-adolescence (14-15), yielding 128 variables from 41 constructs. The same variables were used in models predicting depression and CD symptoms. RESULTS: The best-fitting model for BPD symptoms included 19 predictors and explained 33.2% of the variance. Five constructs - depressive and anxiety symptoms, self-control, harsh punishment, and poor social and school functioning - accounted for most of the variance explained. BPD was differentiated from CD by greater problems with mood and anxiety in BPD and differences in parenting risk factors. Whereas the biggest parenting risk for BPD was a punitive style of parenting, CD was predicted by both punitive and disengaged styles. BPD was differentiated from MDD by greater social problems and poor behavioral control in BPD. CONCLUSIONS: The best predictors of BPD symptoms in adolescence are features suggesting complex comorbidity, affective activation, and problems with self-control. Though some risk factors were non-specific (e.g., inattention), the disorders were distinguished in clinically significant ways. En ligne : http://dx.doi.org/10.1111/jcpp.13269 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440 [article] Determining the key childhood and adolescent risk factors for future BPD symptoms using regularized regression: comparison to depression and conduct disorder [Texte imprimé et/ou numérique] / Joseph E. BEENEY, Auteur ; Erika E. FORBES, Auteur ; Alison E. HIPWELL, Auteur ; Melissa NANCE, Auteur ; Alexis MATTIA, Auteur ; Joely M. LAWLESS, Auteur ; Layla BANIHASHEMI, Auteur ; Stephanie D. STEPP, Auteur . - 2021 . - p.223-231. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-2 (February 2021) . - p.223-231 Mots-clés : Risk factors  borderline personality disorder  comorbidity  longitudinal studies  machine learning Index. décimale : PER Périodiques Résumé : OBJECTIVE: Research has yielded factors considered critical to risk for borderline personality disorder (BPD). Yet, these factors overlap and are relevant to other disorders, like depression and conduct disorder (CD). Regularized regression, a machine learning approach, was developed to allow identification of the most important variables in large datasets with correlated predictors. We aimed to identify critical predictors of BPD symptoms in late adolescence (ages 16-18) and determine the specificity of factors to BPD versus disorders with putatively similar etiology. METHOD: We used a prospective longitudinal dataset (n = 2,450) of adolescent girls assessed on a range of clinical, psychosocial, and demographic factors, highlighted by previous research on BPD. Predictors were grouped by developmental periods: late childhood (8-10) and early (11-13) and mid-adolescence (14-15), yielding 128 variables from 41 constructs. The same variables were used in models predicting depression and CD symptoms. RESULTS: The best-fitting model for BPD symptoms included 19 predictors and explained 33.2% of the variance. Five constructs - depressive and anxiety symptoms, self-control, harsh punishment, and poor social and school functioning - accounted for most of the variance explained. BPD was differentiated from CD by greater problems with mood and anxiety in BPD and differences in parenting risk factors. Whereas the biggest parenting risk for BPD was a punitive style of parenting, CD was predicted by both punitive and disengaged styles. BPD was differentiated from MDD by greater social problems and poor behavioral control in BPD. CONCLUSIONS: The best predictors of BPD symptoms in adolescence are features suggesting complex comorbidity, affective activation, and problems with self-control. Though some risk factors were non-specific (e.g., inattention), the disorders were distinguished in clinically significant ways. En ligne : http://dx.doi.org/10.1111/jcpp.13269 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440

Girls' brain structural connectivity in late adolescence relates to history of depression symptoms / Rajpreet CHAHAL in Journal of Child Psychology and Psychiatry, 61-11 (November 2020)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1224-1233 Titre : Girls' brain structural connectivity in late adolescence relates to history of depression symptoms Type de document : Texte imprimé et/ou numérique Auteurs : Rajpreet CHAHAL, Auteur ; David G. WEISSMAN, Auteur ; Scott MAREK, Auteur ; Shawn A. RHOADS, Auteur ; Alison E. HIPWELL, Auteur ; Erika E. FORBES, Auteur ; Kate KEENAN, Auteur ; Amanda E. GUYER, Auteur Article en page(s) : p.1224-1233 Langues : Anglais (eng) Mots-clés : Adolescence  brain imaging  connectomics  depression  development Index. décimale : PER Périodiques Résumé : BACKGROUND: Girls' depressive symptoms typically increase in adolescence, with individual differences in course and severity being key risk factors for impaired emotional functioning in young adulthood. Given the continued brain white matter (WM) maturation that occurs in adolescence, the present study tested whether structural connectivity patterns in late adolescence are associated with variation in the course of depression symptom severity throughout adolescence. METHOD: Participants were girls (N = 115) enrolled in a multiyear prospective cohort study of risk for depression. Initial depression severity (intercept) at age 10 and change in severity (linear slope) across ages 10-19 were examined in relation to WM tractography collected at age 19. Network-based statistic analyses were used to identify clusters showing variation in structural connectivity in association with depressive symptom intercept, slope, and their interaction. RESULTS: Higher initial depressive severity and steeper positive slope (separately) were associated with greater structural connectivity between temporal, subcortical socioaffective, and occipital regions. Intercept showed more connectivity associations than slope. The interaction effect indicated that higher initial symptom severity and a steeper negative slope (i.e., alleviating symptoms) were related to greater connectivity between cognitive control regions. Moderately severe symptoms that worsened over time were followed by greater connectivity between self-referential and cognitive regions (e.g., posterior cingulate and frontal gyrus). CONCLUSIONS: Higher depressive symptom severity in early adolescence and increasing symptom severity over time may forecast structural connectivity differences in late adolescence, particularly in pathways involving cognitive and emotion-processing regions. Understanding how clinical course relates to neurobiological correlates may inform new treatment approaches to adolescent depression. En ligne : http://dx.doi.org/10.1111/jcpp.13184 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 [article] Girls' brain structural connectivity in late adolescence relates to history of depression symptoms [Texte imprimé et/ou numérique] / Rajpreet CHAHAL, Auteur ; David G. WEISSMAN, Auteur ; Scott MAREK, Auteur ; Shawn A. RHOADS, Auteur ; Alison E. HIPWELL, Auteur ; Erika E. FORBES, Auteur ; Kate KEENAN, Auteur ; Amanda E. GUYER, Auteur . - p.1224-1233. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1224-1233 Mots-clés : Adolescence  brain imaging  connectomics  depression  development Index. décimale : PER Périodiques Résumé : BACKGROUND: Girls' depressive symptoms typically increase in adolescence, with individual differences in course and severity being key risk factors for impaired emotional functioning in young adulthood. Given the continued brain white matter (WM) maturation that occurs in adolescence, the present study tested whether structural connectivity patterns in late adolescence are associated with variation in the course of depression symptom severity throughout adolescence. METHOD: Participants were girls (N = 115) enrolled in a multiyear prospective cohort study of risk for depression. Initial depression severity (intercept) at age 10 and change in severity (linear slope) across ages 10-19 were examined in relation to WM tractography collected at age 19. Network-based statistic analyses were used to identify clusters showing variation in structural connectivity in association with depressive symptom intercept, slope, and their interaction. RESULTS: Higher initial depressive severity and steeper positive slope (separately) were associated with greater structural connectivity between temporal, subcortical socioaffective, and occipital regions. Intercept showed more connectivity associations than slope. The interaction effect indicated that higher initial symptom severity and a steeper negative slope (i.e., alleviating symptoms) were related to greater connectivity between cognitive control regions. Moderately severe symptoms that worsened over time were followed by greater connectivity between self-referential and cognitive regions (e.g., posterior cingulate and frontal gyrus). CONCLUSIONS: Higher depressive symptom severity in early adolescence and increasing symptom severity over time may forecast structural connectivity differences in late adolescence, particularly in pathways involving cognitive and emotion-processing regions. Understanding how clinical course relates to neurobiological correlates may inform new treatment approaches to adolescent depression. En ligne : http://dx.doi.org/10.1111/jcpp.13184 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434

The moderating effects of traumatic stress on vulnerability to emotional distress during pregnancy / Irene TUNG in Development and Psychopathology, 32-2 (May 2020)  

Public ISBD [article]  inDevelopment and Psychopathology > 32-2 (May 2020) . - p.673-686 Titre : The moderating effects of traumatic stress on vulnerability to emotional distress during pregnancy Type de document : Texte imprimé et/ou numérique Auteurs : Irene TUNG, Auteur ; Kate KEENAN, Auteur ; Stephanie D. STEPP, Auteur ; Alison E. HIPWELL, Auteur Article en page(s) : p.673-686 Langues : Anglais (eng) Mots-clés : adverse childhood experiences  early adversity  intimate partner violence  pregnancy stress  stress sensitization Index. décimale : PER Périodiques Résumé : Emotional distress during pregnancy is likely influenced by both maternal history of adversity and concurrent prenatal stressors, but prospective longitudinal studies are lacking. Guided by a life span model of pregnancy health and stress sensitization theories, this study investigated the influence of intimate partner violence (IPV) during pregnancy on the association between childhood adversity and prenatal emotional distress. Participants included an urban, community-based sample of 200 pregnant women (aged 18-24) assessed annually from ages 8 to 17 for a range of adversity domains, including traumatic violence, harsh parenting, caregiver loss, and compromised parenting. Models tested both linear and nonlinear effects of adversity as well as their interactions with IPV on prenatal anxiety and depression symptoms, controlling for potential confounds such as poverty and childhood anxiety and depression. Results showed that the associations between childhood adversity and pregnancy emotional distress were moderated by prenatal IPV, supporting a life span conceptualization of pregnancy health. Patterns of interactions were nonlinear, consistent with theories conceptualizing stress sensitization through an "adaptive calibration" lens. Furthermore, results diverged based on adversity subdomain and type of prenatal IPV (physical vs. emotional abuse). Findings are discussed in the context of existing stress sensitization theories and highlight important avenues for future research and practice. En ligne : http://dx.doi.org/10.1017/s0954579419000531 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=426 [article] The moderating effects of traumatic stress on vulnerability to emotional distress during pregnancy [Texte imprimé et/ou numérique] / Irene TUNG, Auteur ; Kate KEENAN, Auteur ; Stephanie D. STEPP, Auteur ; Alison E. HIPWELL, Auteur . - p.673-686. Langues : Anglais (eng) in Development and Psychopathology > 32-2 (May 2020) . - p.673-686 Mots-clés : adverse childhood experiences  early adversity  intimate partner violence  pregnancy stress  stress sensitization Index. décimale : PER Périodiques Résumé : Emotional distress during pregnancy is likely influenced by both maternal history of adversity and concurrent prenatal stressors, but prospective longitudinal studies are lacking. Guided by a life span model of pregnancy health and stress sensitization theories, this study investigated the influence of intimate partner violence (IPV) during pregnancy on the association between childhood adversity and prenatal emotional distress. Participants included an urban, community-based sample of 200 pregnant women (aged 18-24) assessed annually from ages 8 to 17 for a range of adversity domains, including traumatic violence, harsh parenting, caregiver loss, and compromised parenting. Models tested both linear and nonlinear effects of adversity as well as their interactions with IPV on prenatal anxiety and depression symptoms, controlling for potential confounds such as poverty and childhood anxiety and depression. Results showed that the associations between childhood adversity and pregnancy emotional distress were moderated by prenatal IPV, supporting a life span conceptualization of pregnancy health. Patterns of interactions were nonlinear, consistent with theories conceptualizing stress sensitization through an "adaptive calibration" lens. Furthermore, results diverged based on adversity subdomain and type of prenatal IPV (physical vs. emotional abuse). Findings are discussed in the context of existing stress sensitization theories and highlight important avenues for future research and practice. En ligne : http://dx.doi.org/10.1017/s0954579419000531 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=426

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