Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span / Miriam K. FORBES in Development and Psychopathology, 28-4 pt1 (November 2016)  

Public ISBD [article]  inDevelopment and Psychopathology > 28-4 pt1 (November 2016) . - p.971-986 Titre : Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span Type de document : texte imprimé Auteurs : Miriam K. FORBES, Auteur ; Jennifer L. TACKETT, Auteur ; Kristian E. MARKON, Auteur ; Robert F. KRUEGER, Auteur Article en page(s) : p.971-986 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : We propose a novel developmentally informed framework to push research beyond a focus on comorbidity between discrete diagnostic categories and to move toward research based on the well-validated dimensional and hierarchical structure of psychopathology. For example, a large body of research speaks to the validity and utility of the internalizing and externalizing spectra as organizing constructs for research on common forms of psychopathology. The internalizing and externalizing spectra act as powerful explanatory variables that channel the psychopathological effects of genetic and environmental risk factors, predict adaptive functioning, and account for the likelihood of disorder-level manifestations of psychopathology. As such, our proposed theoretical framework uses the internalizing and externalizing spectra as central constructs to guide future psychopathology research across the life span. The framework is particularly flexible, because any of the facets or factors from the dimensional and hierarchical structure of psychopathology can form the focus of research. We describe the utility and strengths of this framework for developmental psychopathology in particular and explore avenues for future research. En ligne : http://dx.doi.org/10.1017/s0954579416000651 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=294 [article] Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span [texte imprimé] / Miriam K. FORBES, Auteur ; Jennifer L. TACKETT, Auteur ; Kristian E. MARKON, Auteur ; Robert F. KRUEGER, Auteur . - p.971-986. Langues : Anglais (eng) in Development and Psychopathology > 28-4 pt1 (November 2016) . - p.971-986 Index. décimale : PER Périodiques Résumé : We propose a novel developmentally informed framework to push research beyond a focus on comorbidity between discrete diagnostic categories and to move toward research based on the well-validated dimensional and hierarchical structure of psychopathology. For example, a large body of research speaks to the validity and utility of the internalizing and externalizing spectra as organizing constructs for research on common forms of psychopathology. The internalizing and externalizing spectra act as powerful explanatory variables that channel the psychopathological effects of genetic and environmental risk factors, predict adaptive functioning, and account for the likelihood of disorder-level manifestations of psychopathology. As such, our proposed theoretical framework uses the internalizing and externalizing spectra as central constructs to guide future psychopathology research across the life span. The framework is particularly flexible, because any of the facets or factors from the dimensional and hierarchical structure of psychopathology can form the focus of research. We describe the utility and strengths of this framework for developmental psychopathology in particular and explore avenues for future research. En ligne : http://dx.doi.org/10.1017/s0954579416000651 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=294

Latent class analysis to characterize neonatal risk for neurodevelopmental differences / Allison M. MOMANY in Journal of Child Psychology and Psychiatry, 64-1 (January 2023)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 64-1 (January 2023) . - p.100-109 Titre : Latent class analysis to characterize neonatal risk for neurodevelopmental differences Type de document : texte imprimé Auteurs : Allison M. MOMANY, Auteur ; Elizabeth JASPER, Auteur ; Kristian E. MARKON, Auteur ; Molly A. NIKOLAS, Auteur ; Kelli K. RYCKMAN, Auteur Article en page(s) : p.100-109 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weight experience neurodevelopmental difficulties while others do not. The current study investigated this heterogeneity in neurodevelopmental abilities by examining additional neonatal morbidities as risk factors, utilizing latent class analysis to classify neonates into groups based on similar neonatal risk factors, and including neonates from the full spectrum of gestational age. Methods Neonates who received neonatal care at an academic public hospital during an almost 10-year period (n=19,951) were included in the latent class analysis, and 21 neonatal indicators of health were used. Neonatal class, sex, and the interaction between neonatal class and sex were used to examine differences in neurodevelopment at 18 months of age in a typically developing population. Results The best fitting model included five infant classes: healthy, hypoxic, critically ill, minorly ill, and complicated delivery. Scores on the parent-rated neurodevelopmental measure differed by class such that infants in the critically ill, minorly ill, and complicated delivery classes had lower scores. There was no main effect of sex on the neurodevelopmental measure scores, but the interaction between sex and neonatal class was significant for three out of five neurodevelopmental domains. Conclusions The current study extends the understanding of risk factors in neurodevelopment by including several neonatal medical conditions that are often overlooked and by using a person-centered, as opposed to variable-centered, approach. Future work should continue to examine risk factors, such as maternal health during pregnancy and medical interventions for newborns, in relation to neonatal risks and neurodevelopment by using a person-centered approach. En ligne : https://doi.org/10.1111/jcpp.13671 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 [article] Latent class analysis to characterize neonatal risk for neurodevelopmental differences [texte imprimé] / Allison M. MOMANY, Auteur ; Elizabeth JASPER, Auteur ; Kristian E. MARKON, Auteur ; Molly A. NIKOLAS, Auteur ; Kelli K. RYCKMAN, Auteur . - p.100-109. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 64-1 (January 2023) . - p.100-109 Index. décimale : PER Périodiques Résumé : Background Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weight experience neurodevelopmental difficulties while others do not. The current study investigated this heterogeneity in neurodevelopmental abilities by examining additional neonatal morbidities as risk factors, utilizing latent class analysis to classify neonates into groups based on similar neonatal risk factors, and including neonates from the full spectrum of gestational age. Methods Neonates who received neonatal care at an academic public hospital during an almost 10-year period (n=19,951) were included in the latent class analysis, and 21 neonatal indicators of health were used. Neonatal class, sex, and the interaction between neonatal class and sex were used to examine differences in neurodevelopment at 18 months of age in a typically developing population. Results The best fitting model included five infant classes: healthy, hypoxic, critically ill, minorly ill, and complicated delivery. Scores on the parent-rated neurodevelopmental measure differed by class such that infants in the critically ill, minorly ill, and complicated delivery classes had lower scores. There was no main effect of sex on the neurodevelopmental measure scores, but the interaction between sex and neonatal class was significant for three out of five neurodevelopmental domains. Conclusions The current study extends the understanding of risk factors in neurodevelopment by including several neonatal medical conditions that are often overlooked and by using a person-centered, as opposed to variable-centered, approach. Future work should continue to examine risk factors, such as maternal health during pregnancy and medical interventions for newborns, in relation to neonatal risks and neurodevelopment by using a person-centered approach. En ligne : https://doi.org/10.1111/jcpp.13671 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490

Research Review: Multi-informant integration in child and adolescent psychopathology diagnosis / Michelle M. MARTEL in Journal of Child Psychology and Psychiatry, 58-2 (February 2017)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 58-2 (February 2017) . - p.116-128 Titre : Research Review: Multi-informant integration in child and adolescent psychopathology diagnosis Type de document : texte imprimé Auteurs : Michelle M. MARTEL, Auteur ; Kristian E. MARKON, Auteur ; Gregory T. SMITH, Auteur Année de publication : 2017 Article en page(s) : p.116-128 Langues : Anglais (eng) Mots-clés : Diagnosis  psychopathology Index. décimale : PER Périodiques Résumé : Background An empirically based, clinically usable approach to cross-informant integration in clinical assessment is needed. Although the importance of this ongoing issue is becoming increasingly recognized, little in the way of solid recommendations is currently provided to researchers and clinicians seeking to incorporate multiple informant reports in diagnosis of child psychopathology. The issue is timely because recent developments have created new opportunities for improved handling of this problem. For example, advanced theories of psychopathology and normal and abnormal child development provide theoretical guidance for how integration of multiple informants should be handled for specific disorders and at particular ages. In addition, more sophisticated data analytic approaches are now available, including advanced latent variable models, which allow for complex measurement approaches with consideration of measurement invariance. Findings The increasing availability and mobility of computing devices suggests that it will be increasingly feasible for clinicians to implement more advanced methods rather than being confined to the easily memorized algorithms of the DSM system. Conclusions Development of models of cross-informant integration for individual disorders based on theory and tests of the incremental validity of more sophisticated cross-informant integration approaches in comparison to external validation criteria (e.g. longitudinal trajectories and outcomes, treatment response, and behavior genetic etiology) should be a focus of future work. En ligne : http://dx.doi.org/10.1111/jcpp.12611 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=299 [article] Research Review: Multi-informant integration in child and adolescent psychopathology diagnosis [texte imprimé] / Michelle M. MARTEL, Auteur ; Kristian E. MARKON, Auteur ; Gregory T. SMITH, Auteur . - 2017 . - p.116-128. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 58-2 (February 2017) . - p.116-128 Mots-clés : Diagnosis  psychopathology Index. décimale : PER Périodiques Résumé : Background An empirically based, clinically usable approach to cross-informant integration in clinical assessment is needed. Although the importance of this ongoing issue is becoming increasingly recognized, little in the way of solid recommendations is currently provided to researchers and clinicians seeking to incorporate multiple informant reports in diagnosis of child psychopathology. The issue is timely because recent developments have created new opportunities for improved handling of this problem. For example, advanced theories of psychopathology and normal and abnormal child development provide theoretical guidance for how integration of multiple informants should be handled for specific disorders and at particular ages. In addition, more sophisticated data analytic approaches are now available, including advanced latent variable models, which allow for complex measurement approaches with consideration of measurement invariance. Findings The increasing availability and mobility of computing devices suggests that it will be increasingly feasible for clinicians to implement more advanced methods rather than being confined to the easily memorized algorithms of the DSM system. Conclusions Development of models of cross-informant integration for individual disorders based on theory and tests of the incremental validity of more sophisticated cross-informant integration approaches in comparison to external validation criteria (e.g. longitudinal trajectories and outcomes, treatment response, and behavior genetic etiology) should be a focus of future work. En ligne : http://dx.doi.org/10.1111/jcpp.12611 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=299

---

1 (1 - 3 / 3) Par page : 25 50 100 200