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Auteur Henrik LARSSON |
Documents disponibles écrits par cet auteur (31)
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Genetic and environmental contributions to co-occurring physical health conditions in autism spectrum condition and attention-deficit/hyperactivity disorder / Mark J. TAYLOR ; Henrik LARSSON ; Catarina ALMQVIST ; Paul LICHTENSTEIN ; Sebastian LUNDSTROM ; Sven BÖLTE in Molecular Autism, 14 (2023)
[article]
Titre : Genetic and environmental contributions to co-occurring physical health conditions in autism spectrum condition and attention-deficit/hyperactivity disorder Type de document : Texte imprimé et/ou numérique Auteurs : Mark J. TAYLOR, Auteur ; Henrik LARSSON, Auteur ; Catarina ALMQVIST, Auteur ; Paul LICHTENSTEIN, Auteur ; Sebastian LUNDSTROM, Auteur ; Sven BÖLTE, Auteur Article en page(s) : 17 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum condition and attention-deficit/hyperactivity disorder (ADHD) are associated with a range of physical health conditions. The aim of this study was to examine the etiological components contributing to co-occurring physical health conditions in autism and ADHD. METHODS: In this nationwide Child and Adolescent Twin Study in Sweden, we analyzed data from 10,347 twin pairs aged 9 and 12. Clinical diagnoses of autism, ADHD, and physical health conditions were identified through the Swedish National Patient Register. Subclinical phenotypes of autism and ADHD were defined by symptom thresholds on a standardized parent-interview, the Autism-Tics, ADHD, and Other Comorbidities inventory. Associations between physical health conditions and autism/ADHD phenotypes were examined using generalized estimating equations. Bivariate twin models were applied to estimate the extent to which genetic and environmental risk factors accounted for physical health comorbidities. RESULTS: Similar patterns of association with physical health conditions were found in clinical and subclinical autism/ADHD, with odds ratios ranging from 1.31 for asthma in subclinical ADHD to 8.03 for epilepsy in clinical autism. The estimated genetic correlation (r(a)) with epilepsy was 0.50 for clinical autism and 0.35 for subclinical autism. In addition, a modest genetic correlation was estimated between clinical autism and constipation (r(a)=0.31), functional diarrhea (r(a)=0.27) as well as mixed gastrointestinal disorders (r(a)=0.30). Genetic effects contributed 0.86 for mixed gastrointestinal disorders in clinical ADHD (r(a)=0.21). Finally, subclinical ADHD shared genetic risk factors with epilepsy, constipation, and mixed gastrointestinal disorders (r(a)=0.30, 0.17, and 0.17, respectively). LIMITATIONS: Importantly, since medical records from primary care were not included in the registry data used, we probably identified only more severe rather than the full range of physical health conditions. Furthermore, it needs to be considered that the higher prevalence of physical health conditions among autistic children and children with ADHD could be associated with the increased number of medical visits. CONCLUSIONS: Shared genetic effects contribute significantly to autism and ADHD phenotypes with the co-occurring physical health conditions across different organ systems, including epilepsy and gastrointestinal disorders. The shared genetic liability with co-occurring physical health conditions was present across different levels of autism and ADHD symptom severity. En ligne : http://dx.doi.org/10.1186/s13229-023-00548-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513
in Molecular Autism > 14 (2023) . - 17 p.[article] Genetic and environmental contributions to co-occurring physical health conditions in autism spectrum condition and attention-deficit/hyperactivity disorder [Texte imprimé et/ou numérique] / Mark J. TAYLOR, Auteur ; Henrik LARSSON, Auteur ; Catarina ALMQVIST, Auteur ; Paul LICHTENSTEIN, Auteur ; Sebastian LUNDSTROM, Auteur ; Sven BÖLTE, Auteur . - 17 p.
Langues : Anglais (eng)
in Molecular Autism > 14 (2023) . - 17 p.
Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum condition and attention-deficit/hyperactivity disorder (ADHD) are associated with a range of physical health conditions. The aim of this study was to examine the etiological components contributing to co-occurring physical health conditions in autism and ADHD. METHODS: In this nationwide Child and Adolescent Twin Study in Sweden, we analyzed data from 10,347 twin pairs aged 9 and 12. Clinical diagnoses of autism, ADHD, and physical health conditions were identified through the Swedish National Patient Register. Subclinical phenotypes of autism and ADHD were defined by symptom thresholds on a standardized parent-interview, the Autism-Tics, ADHD, and Other Comorbidities inventory. Associations between physical health conditions and autism/ADHD phenotypes were examined using generalized estimating equations. Bivariate twin models were applied to estimate the extent to which genetic and environmental risk factors accounted for physical health comorbidities. RESULTS: Similar patterns of association with physical health conditions were found in clinical and subclinical autism/ADHD, with odds ratios ranging from 1.31 for asthma in subclinical ADHD to 8.03 for epilepsy in clinical autism. The estimated genetic correlation (r(a)) with epilepsy was 0.50 for clinical autism and 0.35 for subclinical autism. In addition, a modest genetic correlation was estimated between clinical autism and constipation (r(a)=0.31), functional diarrhea (r(a)=0.27) as well as mixed gastrointestinal disorders (r(a)=0.30). Genetic effects contributed 0.86 for mixed gastrointestinal disorders in clinical ADHD (r(a)=0.21). Finally, subclinical ADHD shared genetic risk factors with epilepsy, constipation, and mixed gastrointestinal disorders (r(a)=0.30, 0.17, and 0.17, respectively). LIMITATIONS: Importantly, since medical records from primary care were not included in the registry data used, we probably identified only more severe rather than the full range of physical health conditions. Furthermore, it needs to be considered that the higher prevalence of physical health conditions among autistic children and children with ADHD could be associated with the increased number of medical visits. CONCLUSIONS: Shared genetic effects contribute significantly to autism and ADHD phenotypes with the co-occurring physical health conditions across different organ systems, including epilepsy and gastrointestinal disorders. The shared genetic liability with co-occurring physical health conditions was present across different levels of autism and ADHD symptom severity. En ligne : http://dx.doi.org/10.1186/s13229-023-00548-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513 How interactions between ADHD and schools affect educational achievement: a family-based genetically sensitive study / Rosa CHEESMAN in Journal of Child Psychology and Psychiatry, 63-10 (October 2022)
[article]
Titre : How interactions between ADHD and schools affect educational achievement: a family-based genetically sensitive study Type de document : Texte imprimé et/ou numérique Auteurs : Rosa CHEESMAN, Auteur ; Espen M. EILERTSEN, Auteur ; Ziada AYORECH, Auteur ; Nicolai T. BORGEN, Auteur ; Ole A. ANDREASSEN, Auteur ; Henrik LARSSON, Auteur ; Henrik ZACHRISSON, Auteur ; Fartein A. TORVIK, Auteur ; Eivind YSTROM, Auteur Année de publication : 2022 Article en page(s) : p.1174-1185 Langues : Anglais (eng) Mots-clés : Academic Success Attention Deficit Disorder with Hyperactivity/diagnosis/epidemiology/genetics Cohort Studies Educational Status Humans Schools Adhd gene-environment interaction genetics school school performance Index. décimale : PER Périodiques Résumé : BACKGROUND: Children with ADHD tend to achieve less than their peers in school. It is unknown whether schools moderate this association. Nonrandom selection of children into schools related to variations in their ADHD risk poses a methodological problem. METHODS: We linked data on ADHD symptoms of inattention and hyperactivity and parent-child ADHD polygenic scores (PGS) from the Norwegian Mother, Father, and Child Cohort Study (MoBa) to achievement in standardised tests and school identifiers. We estimated interactions of schools with individual differences between students in inattention, hyperactivity, and ADHD-PGS using multilevel models with random slopes for ADHD effects on achievement over schools. In our PGS analyses, we adjust for parental selection of schools by adjusting for parental ADHD-PGS (a within-family PGS design). We then tested whether five school sociodemographic measures explained any interactions. RESULTS: Analysis of up to 23,598 students attending 2,579 schools revealed interactions between school and ADHD effects on achievement. The variability between schools in the effects of inattention, hyperactivity and within-family ADHD-PGS on achievement was 0.08, 0.07 and 0.05 SDs, respectively. For example, the average effect of inattention on achievement wasÎ2=-0.23 (SE=0.009), but in 2.5% of schools with the weakest effects, the value was -0.07 or less. ADHD has a weaker effect on achievement in higher-performing schools. Schools make more of a difference to the achievements of students with higher levels of ADHD, explaining over four times as much variance in achievement for those with high versus average inattention symptoms. School sociodemographic measures could not explain the ADHD-by-school interactions. CONCLUSIONS: Although ADHD symptoms and genetic risk tend to hinder achievement, schools where their effects are weaker do exist. Differences between schools in support for children with ADHD should be evened out. En ligne : http://dx.doi.org/10.1111/jcpp.13656 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486
in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1174-1185[article] How interactions between ADHD and schools affect educational achievement: a family-based genetically sensitive study [Texte imprimé et/ou numérique] / Rosa CHEESMAN, Auteur ; Espen M. EILERTSEN, Auteur ; Ziada AYORECH, Auteur ; Nicolai T. BORGEN, Auteur ; Ole A. ANDREASSEN, Auteur ; Henrik LARSSON, Auteur ; Henrik ZACHRISSON, Auteur ; Fartein A. TORVIK, Auteur ; Eivind YSTROM, Auteur . - 2022 . - p.1174-1185.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1174-1185
Mots-clés : Academic Success Attention Deficit Disorder with Hyperactivity/diagnosis/epidemiology/genetics Cohort Studies Educational Status Humans Schools Adhd gene-environment interaction genetics school school performance Index. décimale : PER Périodiques Résumé : BACKGROUND: Children with ADHD tend to achieve less than their peers in school. It is unknown whether schools moderate this association. Nonrandom selection of children into schools related to variations in their ADHD risk poses a methodological problem. METHODS: We linked data on ADHD symptoms of inattention and hyperactivity and parent-child ADHD polygenic scores (PGS) from the Norwegian Mother, Father, and Child Cohort Study (MoBa) to achievement in standardised tests and school identifiers. We estimated interactions of schools with individual differences between students in inattention, hyperactivity, and ADHD-PGS using multilevel models with random slopes for ADHD effects on achievement over schools. In our PGS analyses, we adjust for parental selection of schools by adjusting for parental ADHD-PGS (a within-family PGS design). We then tested whether five school sociodemographic measures explained any interactions. RESULTS: Analysis of up to 23,598 students attending 2,579 schools revealed interactions between school and ADHD effects on achievement. The variability between schools in the effects of inattention, hyperactivity and within-family ADHD-PGS on achievement was 0.08, 0.07 and 0.05 SDs, respectively. For example, the average effect of inattention on achievement wasÎ2=-0.23 (SE=0.009), but in 2.5% of schools with the weakest effects, the value was -0.07 or less. ADHD has a weaker effect on achievement in higher-performing schools. Schools make more of a difference to the achievements of students with higher levels of ADHD, explaining over four times as much variance in achievement for those with high versus average inattention symptoms. School sociodemographic measures could not explain the ADHD-by-school interactions. CONCLUSIONS: Although ADHD symptoms and genetic risk tend to hinder achievement, schools where their effects are weaker do exist. Differences between schools in support for children with ADHD should be evened out. En ligne : http://dx.doi.org/10.1111/jcpp.13656 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 Increased Risk for Substance Use-Related Problems in Autism Spectrum Disorders: A Population-Based Cohort Study / Agnieszka BUTWICKA in Journal of Autism and Developmental Disorders, 47-1 (January 2017)
[article]
Titre : Increased Risk for Substance Use-Related Problems in Autism Spectrum Disorders: A Population-Based Cohort Study Type de document : Texte imprimé et/ou numérique Auteurs : Agnieszka BUTWICKA, Auteur ; Niklas LANGSTROM, Auteur ; Henrik LARSSON, Auteur ; Sebastian LUNDSTROM, Auteur ; Eva SERLACHIUS, Auteur ; Catarina ALMQVIST, Auteur ; Louise FRISÉN, Auteur ; Paul LICHTENSTEIN, Auteur Article en page(s) : p.80-89 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Addiction ADHD Intellectual disability ICD Index. décimale : PER Périodiques Résumé : Despite limited and ambiguous empirical data, substance use-related problems have been assumed to be rare among patients with autism spectrum disorders (ASD). Using Swedish population-based registers we identified 26,986 individuals diagnosed with ASD during 1973–2009, and their 96,557 non-ASD relatives. ASD, without diagnosed comorbidity of attention deficit hyperactivity disorder (ADHD) or intellectual disability, was related to a doubled risk of substance use-related problems. The risk of substance use-related problems was the highest among individuals with ASD and ADHD. Further, risks of substance use-related problems were increased among full siblings of ASD probands, half-siblings and parents. We conclude that ASD is a risk factor for substance use-related problems. The elevated risks among relatives of probands with ASD suggest shared familial (genetic and/or shared environmental) liability. En ligne : http://dx.doi.org/10.1007/s10803-016-2914-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=298
in Journal of Autism and Developmental Disorders > 47-1 (January 2017) . - p.80-89[article] Increased Risk for Substance Use-Related Problems in Autism Spectrum Disorders: A Population-Based Cohort Study [Texte imprimé et/ou numérique] / Agnieszka BUTWICKA, Auteur ; Niklas LANGSTROM, Auteur ; Henrik LARSSON, Auteur ; Sebastian LUNDSTROM, Auteur ; Eva SERLACHIUS, Auteur ; Catarina ALMQVIST, Auteur ; Louise FRISÉN, Auteur ; Paul LICHTENSTEIN, Auteur . - p.80-89.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 47-1 (January 2017) . - p.80-89
Mots-clés : Autism spectrum disorder Addiction ADHD Intellectual disability ICD Index. décimale : PER Périodiques Résumé : Despite limited and ambiguous empirical data, substance use-related problems have been assumed to be rare among patients with autism spectrum disorders (ASD). Using Swedish population-based registers we identified 26,986 individuals diagnosed with ASD during 1973–2009, and their 96,557 non-ASD relatives. ASD, without diagnosed comorbidity of attention deficit hyperactivity disorder (ADHD) or intellectual disability, was related to a doubled risk of substance use-related problems. The risk of substance use-related problems was the highest among individuals with ASD and ADHD. Further, risks of substance use-related problems were increased among full siblings of ASD probands, half-siblings and parents. We conclude that ASD is a risk factor for substance use-related problems. The elevated risks among relatives of probands with ASD suggest shared familial (genetic and/or shared environmental) liability. En ligne : http://dx.doi.org/10.1007/s10803-016-2914-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=298 A longitudinal twin study of the direction of effects between psychopathic personality and antisocial behaviour / Mats FORSMAN in Journal of Child Psychology and Psychiatry, 51-1 (January 2010)
[article]
Titre : A longitudinal twin study of the direction of effects between psychopathic personality and antisocial behaviour Type de document : Texte imprimé et/ou numérique Auteurs : Mats FORSMAN, Auteur ; Paul LICHTENSTEIN, Auteur ; Henrik ANDERSHED, Auteur ; Henrik LARSSON, Auteur Année de publication : 2010 Article en page(s) : p.39-47 Langues : Anglais (eng) Mots-clés : Antisocial-behaviour psychopathic-personality longitudinal twins Index. décimale : PER Périodiques Résumé : Background: Antisocial behaviour may partly develop as a consequence of psychopathic personality. However, neither the direction of effects nor the aetiology of the association has previously been clarified. The aim in this study was to investigate the direction of effects between psychopathic personality and antisocial behaviour, and to investigate the genetic and environmental contribution to this association.
Method: Twins (n = 2,255) in the Swedish Twin Study of Child and Adolescent Development were prospectively followed from adolescence to adulthood. We used a longitudinal cross-lagged twin model to study the associations between psychopathic personality and antisocial behaviour.
Results: Psychopathic personality in mid-adolescence predicted antisocial behaviour in adulthood (p < .001), but not the other way around. However, bidirectional effects were found when a measure of persistent antisocial behaviour (from age 8–9 to age 16–17) was used. Psychopathic personality predicted both rule-breaking behaviour (p < .001) and aggressive behaviour (p < .01). Genetic factors were of importance in mediating the longitudinal associations between psychopathic personality and antisocial behaviour.
Conclusions: This study provides evidence that genetically influenced psychopathic personality is a robust predictor of adult antisocial behaviour, but also that persistent antisocial behaviour has an impact on adult psychopathic personality via genetic effects.En ligne : http://dx.doi.org/10.1111/j.1469-7610.2009.02141.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=939
in Journal of Child Psychology and Psychiatry > 51-1 (January 2010) . - p.39-47[article] A longitudinal twin study of the direction of effects between psychopathic personality and antisocial behaviour [Texte imprimé et/ou numérique] / Mats FORSMAN, Auteur ; Paul LICHTENSTEIN, Auteur ; Henrik ANDERSHED, Auteur ; Henrik LARSSON, Auteur . - 2010 . - p.39-47.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 51-1 (January 2010) . - p.39-47
Mots-clés : Antisocial-behaviour psychopathic-personality longitudinal twins Index. décimale : PER Périodiques Résumé : Background: Antisocial behaviour may partly develop as a consequence of psychopathic personality. However, neither the direction of effects nor the aetiology of the association has previously been clarified. The aim in this study was to investigate the direction of effects between psychopathic personality and antisocial behaviour, and to investigate the genetic and environmental contribution to this association.
Method: Twins (n = 2,255) in the Swedish Twin Study of Child and Adolescent Development were prospectively followed from adolescence to adulthood. We used a longitudinal cross-lagged twin model to study the associations between psychopathic personality and antisocial behaviour.
Results: Psychopathic personality in mid-adolescence predicted antisocial behaviour in adulthood (p < .001), but not the other way around. However, bidirectional effects were found when a measure of persistent antisocial behaviour (from age 8–9 to age 16–17) was used. Psychopathic personality predicted both rule-breaking behaviour (p < .001) and aggressive behaviour (p < .01). Genetic factors were of importance in mediating the longitudinal associations between psychopathic personality and antisocial behaviour.
Conclusions: This study provides evidence that genetically influenced psychopathic personality is a robust predictor of adult antisocial behaviour, but also that persistent antisocial behaviour has an impact on adult psychopathic personality via genetic effects.En ligne : http://dx.doi.org/10.1111/j.1469-7610.2009.02141.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=939 Machine-Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data / Yanli ZHANG-JAMES in Journal of Child Psychology and Psychiatry, 61-12 (December 2020)
[article]
Titre : Machine-Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data Type de document : Texte imprimé et/ou numérique Auteurs : Yanli ZHANG-JAMES, Auteur ; Qi CHEN, Auteur ; Ralf KUJA-HALKOLA, Auteur ; Paul LICHTENSTEIN, Auteur ; Henrik LARSSON, Auteur ; Stephen V. FARAONE, Auteur Article en page(s) : p.1370-1379 Langues : Anglais (eng) Mots-clés : Machine learning attention-deficit hyperactive disorder comorbidity risk factor substance use disorder Index. décimale : PER Périodiques Résumé : BACKGROUND: Children with attention-deficit/hyperactivity disorder (ADHD) have a high risk for substance use disorders (SUDs). Early identification of at-risk youth would help allocate scarce resources for prevention programs. METHODS: Psychiatric and somatic diagnoses, family history of these disorders, measures of socioeconomic distress, and information about birth complications were obtained from the national registers in Sweden for 19,787 children with ADHD born between 1989 and 1993. We trained (a) a cross-sectional random forest (RF) model using data available by age 17 to predict SUD diagnosis between ages 18 and 19; and (b) a longitudinal recurrent neural network (RNN) model with the Long Short-Term Memory (LSTM) architecture to predict new diagnoses at each age. RESULTS: The area under the receiver operating characteristic curve (AUC) was 0.73(95%CI 0.70-0.76) for the random forest model (RF). Removing prior diagnosis from the predictors, the RF model was still able to achieve significant AUCs when predicting all SUD diagnoses (0.69, 95%CI 0.66-0.72) or new diagnoses (0.67, 95%CI: 0.64, 0.71) during age 18-19. For the model predicting new diagnoses, model calibration was good with a low Brier score of 0.086. Longitudinal LSTM model was able to predict later SUD risks at as early as 2 years age, 10 years before the earliest diagnosis. The average AUC from longitudinal models predicting new diagnoses 1, 2, 5 and 10 years in the future was 0.63. CONCLUSIONS: Population registry data can be used to predict at-risk comorbid SUDs in individuals with ADHD. Such predictions can be made many years prior to age of the onset, and their SUD risks can be monitored using longitudinal models over years during child development. Nevertheless, more work is needed to create prediction models based on electronic health records or linked population registers that are sufficiently accurate for use in the clinic. En ligne : http://dx.doi.org/10.1111/jcpp.13226 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1370-1379[article] Machine-Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data [Texte imprimé et/ou numérique] / Yanli ZHANG-JAMES, Auteur ; Qi CHEN, Auteur ; Ralf KUJA-HALKOLA, Auteur ; Paul LICHTENSTEIN, Auteur ; Henrik LARSSON, Auteur ; Stephen V. FARAONE, Auteur . - p.1370-1379.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1370-1379
Mots-clés : Machine learning attention-deficit hyperactive disorder comorbidity risk factor substance use disorder Index. décimale : PER Périodiques Résumé : BACKGROUND: Children with attention-deficit/hyperactivity disorder (ADHD) have a high risk for substance use disorders (SUDs). Early identification of at-risk youth would help allocate scarce resources for prevention programs. METHODS: Psychiatric and somatic diagnoses, family history of these disorders, measures of socioeconomic distress, and information about birth complications were obtained from the national registers in Sweden for 19,787 children with ADHD born between 1989 and 1993. We trained (a) a cross-sectional random forest (RF) model using data available by age 17 to predict SUD diagnosis between ages 18 and 19; and (b) a longitudinal recurrent neural network (RNN) model with the Long Short-Term Memory (LSTM) architecture to predict new diagnoses at each age. RESULTS: The area under the receiver operating characteristic curve (AUC) was 0.73(95%CI 0.70-0.76) for the random forest model (RF). Removing prior diagnosis from the predictors, the RF model was still able to achieve significant AUCs when predicting all SUD diagnoses (0.69, 95%CI 0.66-0.72) or new diagnoses (0.67, 95%CI: 0.64, 0.71) during age 18-19. For the model predicting new diagnoses, model calibration was good with a low Brier score of 0.086. Longitudinal LSTM model was able to predict later SUD risks at as early as 2 years age, 10 years before the earliest diagnosis. The average AUC from longitudinal models predicting new diagnoses 1, 2, 5 and 10 years in the future was 0.63. CONCLUSIONS: Population registry data can be used to predict at-risk comorbid SUDs in individuals with ADHD. Such predictions can be made many years prior to age of the onset, and their SUD risks can be monitored using longitudinal models over years during child development. Nevertheless, more work is needed to create prediction models based on electronic health records or linked population registers that are sufficiently accurate for use in the clinic. En ligne : http://dx.doi.org/10.1111/jcpp.13226 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 Melatonin use and the risk of self-harm and unintentional injuries in youths with and without psychiatric disorders / Marica LEONE in Journal of Child Psychology and Psychiatry, 64-7 (July 2023)
PermalinkMethod of self-harm in adolescents and young adults and risk of subsequent suicide / Karin BECKMAN in Journal of Child Psychology and Psychiatry, 59-9 (September 2018)
PermalinkPerceived child impairment and the 'autism epidemic' / Sebastian LUNDSTROM in Journal of Child Psychology and Psychiatry, 63-5 (May 2022)
PermalinkRelative immaturity and ADHD: findings from nationwide registers, parent- and self-reports / Linda HALLDNER in Journal of Child Psychology and Psychiatry, 55-8 (August 2014)
PermalinkResearch Review: The strength of the genetic overlap between ADHD and other psychiatric symptoms - a systematic review and meta-analysis / Anneli ANDERSSON in Journal of Child Psychology and Psychiatry, 61-11 (November 2020)
PermalinkShared familial risk factors between attention-deficit/hyperactivity disorder and overweight/obesity – a population-based familial coaggregation study in Sweden / Qi CHEN in Journal of Child Psychology and Psychiatry, 58-6 (June 2017)
PermalinkShared familial risk factors between autism spectrum disorder and obesity - a register-based familial coaggregation cohort study / Richard AHLBERG in Journal of Child Psychology and Psychiatry, 63-8 (August 2022)
PermalinkStimulant ADHD medication and risk for substance abuse / Zheng CHANG in Journal of Child Psychology and Psychiatry, 55-8 (August 2014)
PermalinkTrajectories of healthcare utilization and costs of psychiatric and somatic multimorbidity in adults with childhood ADHD: a prospective register-based study / Ebba DU RIETZ in Journal of Child Psychology and Psychiatry, 61-9 (September 2020)
PermalinkA twin study of genetic and environmental contributions to attention-deficit/hyperactivity disorder over time / Mark J. TAYLOR in Journal of Child Psychology and Psychiatry, 64-11 (November 2023)
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