Developing and validating a prediction model of adolescent major depressive disorder in the offspring of depressed parents / Alice STEPHENS in Journal of Child Psychology and Psychiatry, 64-3 (March 2023)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 64-3 (March 2023) . - p.367-375 Titre : Developing and validating a prediction model of adolescent major depressive disorder in the offspring of depressed parents Type de document : Texte imprimé et/ou numérique Auteurs : Alice STEPHENS, Auteur ; Judith ALLARDYCE, Auteur ; Bryony WEAVERS, Auteur ; Jessica LENNON, Auteur ; Rhys BEVAN JONES, Auteur ; Victoria POWELL, Auteur ; Olga EYRE, Auteur ; Robert POTTER, Auteur ; Valentina ESCOTT PRICE, Auteur ; David OSBORN, Auteur ; Anita THAPAR, Auteur ; Stephan COLLISHAW, Auteur ; Ajay K. THAPAR, Auteur ; Jon HERON, Auteur ; Frances RICE, Auteur Article en page(s) : p.367-375 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Parental depression is common and is a major risk factor for depression in adolescents. Early identification of adolescents at elevated risk of developing major depressive disorder (MDD) in this group could improve early access to preventive interventions. Methods Using longitudinal data from 337 adolescents at high familial risk of depression, we developed a risk prediction model for adolescent MDD. The model was externally validated in an independent cohort of 1,384 adolescents at high familial risk. We assessed predictors at baseline and MDD at follow-up (a median of 2-3 years later). We compared the risk prediction model to a simple comparison model based on screening for depressive symptoms. Decision curve analysis was used to identify which model-predicted risk score thresholds were associated with the greatest clinical benefit. Results The MDD risk prediction model discriminated between those adolescents who did and did not develop MDD in the development (C-statistic=.783, IQR (interquartile range)=.779, .778) and the validation samples (C-statistic=.722, IQR=â’.694, .741). Calibration in the validation sample was good to excellent (calibration intercept=.011, C-slope=.851). The MDD risk prediction model was superior to the simple comparison model where discrimination was no better than chance (C-statistic=.544, IQR=.536, .572). Decision curve analysis found that the highest clinical utility was at the lowest risk score thresholds (0.01-0.05). Conclusions The developed risk prediction model successfully discriminated adolescents who developed MDD from those who did not. In practice, this model could be further developed with user involvement into a tool to target individuals for low-intensity, selective preventive intervention. En ligne : https://doi.org/10.1111/jcpp.13704 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=493 [article] Developing and validating a prediction model of adolescent major depressive disorder in the offspring of depressed parents [Texte imprimé et/ou numérique] / Alice STEPHENS, Auteur ; Judith ALLARDYCE, Auteur ; Bryony WEAVERS, Auteur ; Jessica LENNON, Auteur ; Rhys BEVAN JONES, Auteur ; Victoria POWELL, Auteur ; Olga EYRE, Auteur ; Robert POTTER, Auteur ; Valentina ESCOTT PRICE, Auteur ; David OSBORN, Auteur ; Anita THAPAR, Auteur ; Stephan COLLISHAW, Auteur ; Ajay K. THAPAR, Auteur ; Jon HERON, Auteur ; Frances RICE, Auteur . - p.367-375. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 64-3 (March 2023) . - p.367-375 Index. décimale : PER Périodiques Résumé : Background Parental depression is common and is a major risk factor for depression in adolescents. Early identification of adolescents at elevated risk of developing major depressive disorder (MDD) in this group could improve early access to preventive interventions. Methods Using longitudinal data from 337 adolescents at high familial risk of depression, we developed a risk prediction model for adolescent MDD. The model was externally validated in an independent cohort of 1,384 adolescents at high familial risk. We assessed predictors at baseline and MDD at follow-up (a median of 2-3 years later). We compared the risk prediction model to a simple comparison model based on screening for depressive symptoms. Decision curve analysis was used to identify which model-predicted risk score thresholds were associated with the greatest clinical benefit. Results The MDD risk prediction model discriminated between those adolescents who did and did not develop MDD in the development (C-statistic=.783, IQR (interquartile range)=.779, .778) and the validation samples (C-statistic=.722, IQR=â’.694, .741). Calibration in the validation sample was good to excellent (calibration intercept=.011, C-slope=.851). The MDD risk prediction model was superior to the simple comparison model where discrimination was no better than chance (C-statistic=.544, IQR=.536, .572). Decision curve analysis found that the highest clinical utility was at the lowest risk score thresholds (0.01-0.05). Conclusions The developed risk prediction model successfully discriminated adolescents who developed MDD from those who did not. In practice, this model could be further developed with user involvement into a tool to target individuals for low-intensity, selective preventive intervention. En ligne : https://doi.org/10.1111/jcpp.13704 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=493

Maternal depression and co-occurring antisocial behaviour: testing maternal hostility and warmth as mediators of risk for offspring psychopathology / Ruth SELLERS in Journal of Child Psychology and Psychiatry, 55-2 (February 2014)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 55-2 (February 2014) . - p.112-120 Titre : Maternal depression and co-occurring antisocial behaviour: testing maternal hostility and warmth as mediators of risk for offspring psychopathology Type de document : Texte imprimé et/ou numérique Auteurs : Ruth SELLERS, Auteur ; Gordon T. HAROLD, Auteur ; Kit ELAM, Auteur ; Kimberly A. RHOADES, Auteur ; Robert POTTER, Auteur ; Becky MARS, Auteur ; Nick CRADDOCK, Auteur ; Anita THAPAR, Auteur ; Stephan COLLISHAW, Auteur Article en page(s) : p.112-120 Langues : Anglais (eng) Mots-clés : Hostility  warmth  mediation  depression  antisocial behaviour  disruptive behaviour Index. décimale : PER Périodiques Résumé : Background Disruption in the parent–child relationship is a commonly hypothesized risk factor through which maternal depression may increase risk for offspring psychopathology. However, maternal depression is commonly accompanied by other psychopathology, including antisocial behaviour. Few studies have examined the role of co-occurring psychopathology in depressed mothers. Using a longitudinal study of offspring of mothers with recurrent depression, we aimed to test whether maternal warmth/hostility mediated links between maternal depression severity and child outcomes, and how far direct and indirect pathways were robust to controls for co-occurring maternal antisocial behaviour. Methods Mothers with a history of recurrent major depressive disorder and their adolescent offspring (9–17 years at baseline) were assessed three times between 2007 and 2010. Mothers completed questionnaires assessing their own depression severity and antisocial behaviour at Time 1 (T1). The parent–child relationship was assessed using parent-rated questionnaire and interviewer-rated 5-min speech sample at Time 2 (T2). Offspring symptoms of depression and disruptive behaviours were assessed using the Child and Adolescent Psychiatric Assessment at Time 3 (T3). Results Maternal hostility and warmth, respectively, mediated the association between maternal depression severity and risk for offspring psychopathology. However, the effects were attenuated when maternal antisocial behaviour was included in the analysis. In tests of the full theoretical model, maternal antisocial behaviour predicted both maternal hostility and low warmth, maternal hostility predicted offspring disruptive behaviour disorder symptoms, but not depression, and maternal warmth was not associated with either child outcome. Conclusions Parenting interventions aimed at reducing hostility may be beneficial for preventing or reducing adolescent disruptive behaviours in offspring of depressed mothers, especially when depressed mothers report co-occurring antisocial behaviour. En ligne : http://dx.doi.org/10.1111/jcpp.12111 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=220 [article] Maternal depression and co-occurring antisocial behaviour: testing maternal hostility and warmth as mediators of risk for offspring psychopathology [Texte imprimé et/ou numérique] / Ruth SELLERS, Auteur ; Gordon T. HAROLD, Auteur ; Kit ELAM, Auteur ; Kimberly A. RHOADES, Auteur ; Robert POTTER, Auteur ; Becky MARS, Auteur ; Nick CRADDOCK, Auteur ; Anita THAPAR, Auteur ; Stephan COLLISHAW, Auteur . - p.112-120. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 55-2 (February 2014) . - p.112-120 Mots-clés : Hostility  warmth  mediation  depression  antisocial behaviour  disruptive behaviour Index. décimale : PER Périodiques Résumé : Background Disruption in the parent–child relationship is a commonly hypothesized risk factor through which maternal depression may increase risk for offspring psychopathology. However, maternal depression is commonly accompanied by other psychopathology, including antisocial behaviour. Few studies have examined the role of co-occurring psychopathology in depressed mothers. Using a longitudinal study of offspring of mothers with recurrent depression, we aimed to test whether maternal warmth/hostility mediated links between maternal depression severity and child outcomes, and how far direct and indirect pathways were robust to controls for co-occurring maternal antisocial behaviour. Methods Mothers with a history of recurrent major depressive disorder and their adolescent offspring (9–17 years at baseline) were assessed three times between 2007 and 2010. Mothers completed questionnaires assessing their own depression severity and antisocial behaviour at Time 1 (T1). The parent–child relationship was assessed using parent-rated questionnaire and interviewer-rated 5-min speech sample at Time 2 (T2). Offspring symptoms of depression and disruptive behaviours were assessed using the Child and Adolescent Psychiatric Assessment at Time 3 (T3). Results Maternal hostility and warmth, respectively, mediated the association between maternal depression severity and risk for offspring psychopathology. However, the effects were attenuated when maternal antisocial behaviour was included in the analysis. In tests of the full theoretical model, maternal antisocial behaviour predicted both maternal hostility and low warmth, maternal hostility predicted offspring disruptive behaviour disorder symptoms, but not depression, and maternal warmth was not associated with either child outcome. Conclusions Parenting interventions aimed at reducing hostility may be beneficial for preventing or reducing adolescent disruptive behaviours in offspring of depressed mothers, especially when depressed mothers report co-occurring antisocial behaviour. En ligne : http://dx.doi.org/10.1111/jcpp.12111 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=220

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