2 recherche sur le mot-clé 'MBRN'

Childhood trajectories of emotional and behavioral difficulties are related to polygenic liability for mood and anxiety disorders / Nadine PARKER ; Laurie J. HANNIGAN ; Espen HAGEN ; Pravesh PAREKH ; Alexey SHADRIN ; Piotr JAHOLKOWSKI ; Evgeniia FREI ; Viktoria BIRKENÆS ; Guy HINDLEY ; Laura HEGEMANN ; Elizabeth C. CORFIELD ; Martin TESLI ; Alexandra HAVDAHL ; Ole A. ANDREASSEN in Journal of Child Psychology and Psychiatry, 66-3 (March 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-3 (March 2025) . - p.350-365 Titre : Childhood trajectories of emotional and behavioral difficulties are related to polygenic liability for mood and anxiety disorders Type de document : Texte imprimé et/ou numérique Auteurs : Nadine PARKER, Auteur ; Laurie J. HANNIGAN, Auteur ; Espen HAGEN, Auteur ; Pravesh PAREKH, Auteur ; Alexey SHADRIN, Auteur ; Piotr JAHOLKOWSKI, Auteur ; Evgeniia FREI, Auteur ; Viktoria BIRKENÆS, Auteur ; Guy HINDLEY, Auteur ; Laura HEGEMANN, Auteur ; Elizabeth C. CORFIELD, Auteur ; Martin TESLI, Auteur ; Alexandra HAVDAHL, Auteur ; Ole A. ANDREASSEN, Auteur Article en page(s) : p.350-365 Langues : Anglais (eng) Mots-clés : Emotional problems  behavioral problems  polygenic risk (PRS)  mood disorder  anxiety disorder  development  MoBa  MBRN Index. décimale : PER Périodiques Résumé : Background Symptoms related to mood and anxiety disorders (emotional disorders) often present in childhood and adolescence. Some of the genetic liability for mental disorders, and emotional and behavioral difficulties seems to be shared. Yet, it is unclear how genetic liability for emotional disorders and related traits influence trajectories of childhood behavioral and emotional difficulties, and if specific developmental patterns are associated with higher genetic liability for these disorders. Methods This study uses data from a genotyped sample of children (n?=?54,839) from the Norwegian Mother, Father, and Child Cohort Study (MoBa). We use latent growth models (1.5?5?years) and latent profile analyses (1.5?8?years) to quantify childhood trajectories and profiles of emotional and behavioral difficulties and diagnoses. We examine associations between these trajectories and profiles with polygenic scores for bipolar disorder (PGSBD), anxiety (PGSANX), depression (PGSDEP), and neuroticism (PGSNEUR). Results Associations between PGSDEP, PGSANX, and PGSNEUR, and emotional and behavioral difficulties in childhood were more persistent than age-specific across early childhood (1.5?5?years). Higher PGSANX and PGSDEP were associated with steeper increases in behavioral difficulties across early childhood. Latent profile analyses identified five profiles with different associations with emotional disorder diagnosis. All PGS were associated with the probability of classification into profiles characterized by some form of difficulties (vs. a normative reference profile), but only PGSBD was uniquely associated with a single developmental profile. Conclusions Genetic risk for mood disorders and related traits contribute to both a higher baseline level of, and a more rapid increase in, emotional and behavioral difficulties across early and middle childhood, with some indications for disorder-specific profiles. Our findings may inform research on developmental pathways to emotional disorders and the improvement of initiatives for early identification and targeted intervention. En ligne : https://doi.org/10.1111/jcpp.14063 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=548 [article] Childhood trajectories of emotional and behavioral difficulties are related to polygenic liability for mood and anxiety disorders [Texte imprimé et/ou numérique] / Nadine PARKER, Auteur ; Laurie J. HANNIGAN, Auteur ; Espen HAGEN, Auteur ; Pravesh PAREKH, Auteur ; Alexey SHADRIN, Auteur ; Piotr JAHOLKOWSKI, Auteur ; Evgeniia FREI, Auteur ; Viktoria BIRKENÆS, Auteur ; Guy HINDLEY, Auteur ; Laura HEGEMANN, Auteur ; Elizabeth C. CORFIELD, Auteur ; Martin TESLI, Auteur ; Alexandra HAVDAHL, Auteur ; Ole A. ANDREASSEN, Auteur . - p.350-365. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-3 (March 2025) . - p.350-365 Mots-clés : Emotional problems  behavioral problems  polygenic risk (PRS)  mood disorder  anxiety disorder  development  MoBa  MBRN Index. décimale : PER Périodiques Résumé : Background Symptoms related to mood and anxiety disorders (emotional disorders) often present in childhood and adolescence. Some of the genetic liability for mental disorders, and emotional and behavioral difficulties seems to be shared. Yet, it is unclear how genetic liability for emotional disorders and related traits influence trajectories of childhood behavioral and emotional difficulties, and if specific developmental patterns are associated with higher genetic liability for these disorders. Methods This study uses data from a genotyped sample of children (n?=?54,839) from the Norwegian Mother, Father, and Child Cohort Study (MoBa). We use latent growth models (1.5?5?years) and latent profile analyses (1.5?8?years) to quantify childhood trajectories and profiles of emotional and behavioral difficulties and diagnoses. We examine associations between these trajectories and profiles with polygenic scores for bipolar disorder (PGSBD), anxiety (PGSANX), depression (PGSDEP), and neuroticism (PGSNEUR). Results Associations between PGSDEP, PGSANX, and PGSNEUR, and emotional and behavioral difficulties in childhood were more persistent than age-specific across early childhood (1.5?5?years). Higher PGSANX and PGSDEP were associated with steeper increases in behavioral difficulties across early childhood. Latent profile analyses identified five profiles with different associations with emotional disorder diagnosis. All PGS were associated with the probability of classification into profiles characterized by some form of difficulties (vs. a normative reference profile), but only PGSBD was uniquely associated with a single developmental profile. Conclusions Genetic risk for mood disorders and related traits contribute to both a higher baseline level of, and a more rapid increase in, emotional and behavioral difficulties across early and middle childhood, with some indications for disorder-specific profiles. Our findings may inform research on developmental pathways to emotional disorders and the improvement of initiatives for early identification and targeted intervention. En ligne : https://doi.org/10.1111/jcpp.14063 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=548

Measuring autism-associated traits in the general population: Factor structure and measurement invariance across sex and diagnosis status of the Social Communication Questionnaire / Ragna BUGGE ASKELAND ; Stian BARBO VALAND ; Anne-Siri ØYEN ; Synnve SCHJØLBERG ; Vanessa H. BAL ; Somer L. BISHOP ; Camilla STOLTENBERG ; Tilmann VON SOEST ; Laurie J. HANNIGAN ; Alexandra HAVDAHL in Autism, 28-8 (August 2024)  

Public ISBD [article]  inAutism > 28-8 (August 2024) . - p.2105-2119 Titre : Measuring autism-associated traits in the general population: Factor structure and measurement invariance across sex and diagnosis status of the Social Communication Questionnaire Type de document : Texte imprimé et/ou numérique Auteurs : Ragna BUGGE ASKELAND, Auteur ; Stian BARBO VALAND, Auteur ; Anne-Siri ØYEN, Auteur ; Synnve SCHJØLBERG, Auteur ; Vanessa H. BAL, Auteur ; Somer L. BISHOP, Auteur ; Camilla STOLTENBERG, Auteur ; Tilmann VON SOEST, Auteur ; Laurie J. HANNIGAN, Auteur ; Alexandra HAVDAHL, Auteur Article en page(s) : p.2105-2119 Langues : Anglais (eng) Mots-clés : cohort studies  factor analysis  MBRN  measurement invariance  MoBa  psychometrics  statistical  surveys and questionnaires Index. décimale : PER Périodiques Résumé : Autism screening questionnaires are sometimes used as a measure of "autism-associated traits" in samples drawn from the general population, even though such tools are primarily developed and designed for use in samples of children diagnosed with or being assessed for autism. Here, we explore the psychometric properties of the Social Communication Questionnaire (SCQ) current version reported at age 8 in a large population-based sample. Using data from the Norwegian Mother, Father and Child Cohort study (MoBa), we perform exploratory (N = 21,775) and confirmatory (N = 21,674) factor analyses on items and compare our results with previously suggested factor structure models of the SCQ. Furthermore, we test for measurement invariance across sex and registry-ascertained autism diagnostic status (Ndiagnosed = 636). A 5-factor model provided best fit to the data in both children with and without autism diagnoses, though with some qualitative differences in what the factors represent across these groups. This model performed largely consistently across boys and girls in the general population. Taken together, the SCQ?s measurement properties must be carefully considered when it is used in population-based samples and measurement invariance testing of other autism screening tools used in similar contexts is warranted. Lay abstract Using questionnaires in research relies on the expectation that they measure the same things across different groups of individuals. If this is not true, then interpretations of results can be misleading when researchers compare responses across different groups of individuals or use in it a group that differs from that in which the questionnaire was developed. For the questionnaire we investigated, the Social Communication Questionnaire (SCQ), we found that parents of boys and girls responded to questionnaire items in largely the same way but that the SCQ measured traits and behaviors slightly differently depending on whether the children had autism. Based on these results, we concluded that researchers using this questionnaire should carefully consider these differences when deciding how to interpret findings. SCQ scores as a reflection of "autism-associated traits" in samples that are mostly or entirely made up of individuals without an autism diagnosis may be misleading and we encourage a more precise interpretation of scores as a broader indication of social-communicative and behavioral traits. En ligne : https://dx.doi.org/10.1177/13623613231219306 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=533 [article] Measuring autism-associated traits in the general population: Factor structure and measurement invariance across sex and diagnosis status of the Social Communication Questionnaire [Texte imprimé et/ou numérique] / Ragna BUGGE ASKELAND, Auteur ; Stian BARBO VALAND, Auteur ; Anne-Siri ØYEN, Auteur ; Synnve SCHJØLBERG, Auteur ; Vanessa H. BAL, Auteur ; Somer L. BISHOP, Auteur ; Camilla STOLTENBERG, Auteur ; Tilmann VON SOEST, Auteur ; Laurie J. HANNIGAN, Auteur ; Alexandra HAVDAHL, Auteur . - p.2105-2119. Langues : Anglais (eng) in Autism > 28-8 (August 2024) . - p.2105-2119 Mots-clés : cohort studies  factor analysis  MBRN  measurement invariance  MoBa  psychometrics  statistical  surveys and questionnaires Index. décimale : PER Périodiques Résumé : Autism screening questionnaires are sometimes used as a measure of "autism-associated traits" in samples drawn from the general population, even though such tools are primarily developed and designed for use in samples of children diagnosed with or being assessed for autism. Here, we explore the psychometric properties of the Social Communication Questionnaire (SCQ) current version reported at age 8 in a large population-based sample. Using data from the Norwegian Mother, Father and Child Cohort study (MoBa), we perform exploratory (N = 21,775) and confirmatory (N = 21,674) factor analyses on items and compare our results with previously suggested factor structure models of the SCQ. Furthermore, we test for measurement invariance across sex and registry-ascertained autism diagnostic status (Ndiagnosed = 636). A 5-factor model provided best fit to the data in both children with and without autism diagnoses, though with some qualitative differences in what the factors represent across these groups. This model performed largely consistently across boys and girls in the general population. Taken together, the SCQ?s measurement properties must be carefully considered when it is used in population-based samples and measurement invariance testing of other autism screening tools used in similar contexts is warranted. Lay abstract Using questionnaires in research relies on the expectation that they measure the same things across different groups of individuals. If this is not true, then interpretations of results can be misleading when researchers compare responses across different groups of individuals or use in it a group that differs from that in which the questionnaire was developed. For the questionnaire we investigated, the Social Communication Questionnaire (SCQ), we found that parents of boys and girls responded to questionnaire items in largely the same way but that the SCQ measured traits and behaviors slightly differently depending on whether the children had autism. Based on these results, we concluded that researchers using this questionnaire should carefully consider these differences when deciding how to interpret findings. SCQ scores as a reflection of "autism-associated traits" in samples that are mostly or entirely made up of individuals without an autism diagnosis may be misleading and we encourage a more precise interpretation of scores as a broader indication of social-communicative and behavioral traits. En ligne : https://dx.doi.org/10.1177/13623613231219306 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=533