Predicting childhood ADHD-linked symptoms from prenatal and perinatal data in the ABCD cohort / Colm HEALY ; David COTTER ; Mary CLARKE ; Mary CANNON in Development and Psychopathology, 36-2 (May 2024)  

Public ISBD [article]  inDevelopment and Psychopathology > 36-2 (May 2024) . - p.979-992 Titre : Predicting childhood ADHD-linked symptoms from prenatal and perinatal data in the ABCD cohort Type de document : Texte imprimé et/ou numérique Auteurs : Colm HEALY, Auteur ; David COTTER, Auteur ; Mary CLARKE, Auteur ; Mary CANNON, Auteur Article en page(s) : p.979-992 Langues : Anglais (eng) Mots-clés : attention-deficit disorder with hyperactivity  fetal development  maternal behavior  pregnancy complications  sex differences  social determinants of health Index. décimale : PER Périodiques Résumé : This study investigates the capacity of pre/perinatal factors to predict attention-deficit/hyperactivity disorder (ADHD) symptoms in childhood. It also explores whether predictive accuracy of a pre/perinatal model varies for different groups in the population. We used the ABCD (Adolescent Brain Cognitive Development) cohort from the United States (N = 9975). Pre/perinatal information and the Child Behavior Checklist were reported by the parent when the child was aged 9-10. Forty variables which are generally known by birth were input as potential predictors including maternal substance-use, obstetric complications and child demographics. Elastic net regression with 5-fold validation was performed, and subsequently stratified by sex, race/ethnicity, household income and parental psychopathology. Seventeen pre/perinatal variables were identified as robust predictors of ADHD symptoms in this cohort. The model explained just 8.13% of the variance in ADHD symptoms on average (95% CI = 5.6%-11.5%). Predictive accuracy of the model varied significantly by subgroup, particularly across income groups, and several pre/perinatal factors appeared to be sex-specific. Results suggest we may be able to predict childhood ADHD symptoms with modest accuracy from birth. This study needs to be replicated using prospectively measured pre/perinatal data. En ligne : https://dx.doi.org/10.1017/S0954579423000238 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=528 [article] Predicting childhood ADHD-linked symptoms from prenatal and perinatal data in the ABCD cohort [Texte imprimé et/ou numérique] / Colm HEALY, Auteur ; David COTTER, Auteur ; Mary CLARKE, Auteur ; Mary CANNON, Auteur . - p.979-992. Langues : Anglais (eng) in Development and Psychopathology > 36-2 (May 2024) . - p.979-992 Mots-clés : attention-deficit disorder with hyperactivity  fetal development  maternal behavior  pregnancy complications  sex differences  social determinants of health Index. décimale : PER Périodiques Résumé : This study investigates the capacity of pre/perinatal factors to predict attention-deficit/hyperactivity disorder (ADHD) symptoms in childhood. It also explores whether predictive accuracy of a pre/perinatal model varies for different groups in the population. We used the ABCD (Adolescent Brain Cognitive Development) cohort from the United States (N = 9975). Pre/perinatal information and the Child Behavior Checklist were reported by the parent when the child was aged 9-10. Forty variables which are generally known by birth were input as potential predictors including maternal substance-use, obstetric complications and child demographics. Elastic net regression with 5-fold validation was performed, and subsequently stratified by sex, race/ethnicity, household income and parental psychopathology. Seventeen pre/perinatal variables were identified as robust predictors of ADHD symptoms in this cohort. The model explained just 8.13% of the variance in ADHD symptoms on average (95% CI = 5.6%-11.5%). Predictive accuracy of the model varied significantly by subgroup, particularly across income groups, and several pre/perinatal factors appeared to be sex-specific. Results suggest we may be able to predict childhood ADHD symptoms with modest accuracy from birth. This study needs to be replicated using prospectively measured pre/perinatal data. En ligne : https://dx.doi.org/10.1017/S0954579423000238 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=528

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