Familial aggregation of attention-deficit/hyperactivity disorder / Qi CHEN in Journal of Child Psychology and Psychiatry, 58-3 (March 2017)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 58-3 (March 2017) . - p.231-239 Titre : Familial aggregation of attention-deficit/hyperactivity disorder Type de document : Texte imprimé et/ou numérique Auteurs : Qi CHEN, Auteur ; Isabell BRIKELL, Auteur ; Paul LICHTENSTEIN, Auteur ; Eva SERLACHIUS, Auteur ; Ralf KUJA-HALKOLA, Auteur ; Sven SANDIN, Auteur ; Henrik LARSSON, Auteur Article en page(s) : p.231-239 Langues : Anglais (eng) Mots-clés : Attention-deficit/hyperactivity disorder  diagnosis  family factor  sex differences  adulthood Index. décimale : PER Périodiques Résumé : Background Attention-deficit/hyperactivity disorder (ADHD) aggregates in families. To date, the strength, pattern, and characteristics of the familial aggregation have not been thoroughly assessed in a population-based family sample. Methods In this cohort study, we identified relative pairs of twins, full and half-siblings, and full and half cousins from 1,656,943 unique individuals born in Sweden between 1985 and 2006. The relatives of index persons were followed from their third birthday to 31 December 2009 for ADHD diagnosis. Birth year adjusted hazard ratio (HR), that is, the rate of ADHD in relatives of ADHD-affected index persons compared with the rate of ADHD in relatives of unaffected index persons, was estimated in the different types of relatives using Cox proportional hazards model. Results During the follow-up, 31,865 individuals were diagnosed with ADHD (male to female ratio was 3.7). The birth year adjusted HRs were as follows: 70.45 for monozygotic twins; 8.44 for dizygotic twins; 8.27 for full siblings; 2.86 for maternal half-siblings; 2.31 for paternal half-siblings; 2.24 for full cousins; 1.47 for half cousins. Maternal half-siblings had significantly higher HR than in paternal half-siblings. The HR did not seem to be affected by index person's sex. Full siblings of index persons with ADHD diagnosis present at age 18 or older had a higher rate of ADHD (HR: 11.49) than full siblings of index persons with ADHD diagnosis only before age 18 (HR: 4.68). Conclusions Familial aggregation of ADHD increases with increasing genetic relatedness. The familial aggregation is driven by not only genetic factors but also a small amount of shared environmental factors. Persistence of ADHD into adulthood indexes stronger familial aggregation of ADHD. En ligne : http://dx.doi.org/10.1111/jcpp.12616 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=303 [article] Familial aggregation of attention-deficit/hyperactivity disorder [Texte imprimé et/ou numérique] / Qi CHEN, Auteur ; Isabell BRIKELL, Auteur ; Paul LICHTENSTEIN, Auteur ; Eva SERLACHIUS, Auteur ; Ralf KUJA-HALKOLA, Auteur ; Sven SANDIN, Auteur ; Henrik LARSSON, Auteur . - p.231-239. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 58-3 (March 2017) . - p.231-239 Mots-clés : Attention-deficit/hyperactivity disorder  diagnosis  family factor  sex differences  adulthood Index. décimale : PER Périodiques Résumé : Background Attention-deficit/hyperactivity disorder (ADHD) aggregates in families. To date, the strength, pattern, and characteristics of the familial aggregation have not been thoroughly assessed in a population-based family sample. Methods In this cohort study, we identified relative pairs of twins, full and half-siblings, and full and half cousins from 1,656,943 unique individuals born in Sweden between 1985 and 2006. The relatives of index persons were followed from their third birthday to 31 December 2009 for ADHD diagnosis. Birth year adjusted hazard ratio (HR), that is, the rate of ADHD in relatives of ADHD-affected index persons compared with the rate of ADHD in relatives of unaffected index persons, was estimated in the different types of relatives using Cox proportional hazards model. Results During the follow-up, 31,865 individuals were diagnosed with ADHD (male to female ratio was 3.7). The birth year adjusted HRs were as follows: 70.45 for monozygotic twins; 8.44 for dizygotic twins; 8.27 for full siblings; 2.86 for maternal half-siblings; 2.31 for paternal half-siblings; 2.24 for full cousins; 1.47 for half cousins. Maternal half-siblings had significantly higher HR than in paternal half-siblings. The HR did not seem to be affected by index person's sex. Full siblings of index persons with ADHD diagnosis present at age 18 or older had a higher rate of ADHD (HR: 11.49) than full siblings of index persons with ADHD diagnosis only before age 18 (HR: 4.68). Conclusions Familial aggregation of ADHD increases with increasing genetic relatedness. The familial aggregation is driven by not only genetic factors but also a small amount of shared environmental factors. Persistence of ADHD into adulthood indexes stronger familial aggregation of ADHD. En ligne : http://dx.doi.org/10.1111/jcpp.12616 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=303

Familial confounding of the association between maternal smoking during pregnancy and ADHD in offspring / Charlotte SKOGLUND in Journal of Child Psychology and Psychiatry, 55-1 (January 2014)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 55-1 (January 2014) . - p.61-68 Titre : Familial confounding of the association between maternal smoking during pregnancy and ADHD in offspring Type de document : Texte imprimé et/ou numérique Auteurs : Charlotte SKOGLUND, Auteur ; Qi CHEN, Auteur ; Brian M. D'ONOFRIO, Auteur ; Paul LICHTENSTEIN, Auteur ; Henrik LARSSON, Auteur Article en page(s) : p.61-68 Langues : Anglais (eng) Mots-clés : Maternal smoking during pregnancy  attention-deficit/hyperactivity disorder  confounding  sibling comparisons Index. décimale : PER Périodiques Résumé : Background Maternal Smoking During Pregnancy (SDP) has consistently been associated with increased risk of attention-deficit/hyperactivity disorder (ADHD) in offspring, but recent studies indicate that this association might be due to unmeasured familial confounding. Methods A total of 813,030 individuals born in Sweden between 1992 and 2000 were included in this nationwide population-based cohort study. Data on maternal SDP and ADHD diagnosis were obtained from national registers and patients were followed up from the age of 3 to the end of 2009. Hazard Ratios (HRs) were estimated using stratified Cox regression models. Cousin and sibling data were used to control for unmeasured familial confounding. Results At the population level maternal SDP predicted ADHD in offspring (HRModerateSDP = 1.89; HRHighSDP = 2.50). This estimate gradually attenuated toward the null when adjusting for measured confounders (HRModerateSDP = 1.62; HRHighSDP = 2.04), unmeasured confounders shared within the extended family (i.e., cousin comparison) (HRModerateSDP = 1.45; HRHighSDP = 1.69), and unmeasured confounders within the nuclear family (i.e., sibling comparison) (HRModerateSDP = 0.88; HRHighSDP = 0.84). Conclusions Our results suggest that the association between maternal SDP and offspring ADHD are due to unmeasured familial confounding. En ligne : http://dx.doi.org/10.1111/jcpp.12124 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=220 [article] Familial confounding of the association between maternal smoking during pregnancy and ADHD in offspring [Texte imprimé et/ou numérique] / Charlotte SKOGLUND, Auteur ; Qi CHEN, Auteur ; Brian M. D'ONOFRIO, Auteur ; Paul LICHTENSTEIN, Auteur ; Henrik LARSSON, Auteur . - p.61-68. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 55-1 (January 2014) . - p.61-68 Mots-clés : Maternal smoking during pregnancy  attention-deficit/hyperactivity disorder  confounding  sibling comparisons Index. décimale : PER Périodiques Résumé : Background Maternal Smoking During Pregnancy (SDP) has consistently been associated with increased risk of attention-deficit/hyperactivity disorder (ADHD) in offspring, but recent studies indicate that this association might be due to unmeasured familial confounding. Methods A total of 813,030 individuals born in Sweden between 1992 and 2000 were included in this nationwide population-based cohort study. Data on maternal SDP and ADHD diagnosis were obtained from national registers and patients were followed up from the age of 3 to the end of 2009. Hazard Ratios (HRs) were estimated using stratified Cox regression models. Cousin and sibling data were used to control for unmeasured familial confounding. Results At the population level maternal SDP predicted ADHD in offspring (HRModerateSDP = 1.89; HRHighSDP = 2.50). This estimate gradually attenuated toward the null when adjusting for measured confounders (HRModerateSDP = 1.62; HRHighSDP = 2.04), unmeasured confounders shared within the extended family (i.e., cousin comparison) (HRModerateSDP = 1.45; HRHighSDP = 1.69), and unmeasured confounders within the nuclear family (i.e., sibling comparison) (HRModerateSDP = 0.88; HRHighSDP = 0.84). Conclusions Our results suggest that the association between maternal SDP and offspring ADHD are due to unmeasured familial confounding. En ligne : http://dx.doi.org/10.1111/jcpp.12124 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=220

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)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1370-1379 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 [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

Mapping the time course of overt emotion dysregulation, self-injurious behavior, and aggression in psychiatrically hospitalized autistic youth: A naturalistic study / Jessie B. NORTHRUP in Autism Research, 15-10 (October 2022)  

Public ISBD [article]  inAutism Research > 15-10 (October 2022) . - p.1855-1867 Titre : Mapping the time course of overt emotion dysregulation, self-injurious behavior, and aggression in psychiatrically hospitalized autistic youth: A naturalistic study Type de document : Texte imprimé et/ou numérique Auteurs : Jessie B. NORTHRUP, Auteur ; Matthew S. GOODWIN, Auteur ; Christine B. PEURA, Auteur ; Qi CHEN, Auteur ; Briana J. TAYLOR, Auteur ; Matthew S. SIEGEL, Auteur ; Carla A. MAZEFSKY, Auteur Article en page(s) : p.1855-1867 Langues : Anglais (eng) Mots-clés : aggressive behavior  autism inpatient collection  autism spectrum disorder  emotion dysregulation  self-injurious behavior Index. décimale : PER Périodiques Résumé : Challenges with emotion dysregulation, self-injurious behavior (SIB), and aggression are common in autistic individuals. Prior research on the relationships between these behaviors is limited mainly to cross-sectional correlations of parent-report data. Understanding how emotion dysregulation, SIB, and aggression present and relate to one another in real-time could add to our understanding of the context and function of these behaviors. The present study examined the real-time occurrence and temporal relationships between these behaviors in 53 psychiatrically hospitalized autistic youth. Over 500 hours of behavioral observation occurred during everyday activities in the hospital. Start and stop times for instances of overt emotion dysregulation, SIB, and aggression were coded live using a custom mobile phone app. Results indicated large individual variability in the frequency and duration of these behaviors and their co-occurrence. Both SIB and aggression co-occurred with overt emotion dysregulation at above-chance levels, suggesting a role for emotional distress in the occurrence of these behaviors. However, there was substantial variability within and between individuals in co-occurrence, and SIB and aggression often (and for some individuals, almost always) occurred without overt emotion dysregulation. Relatedly, cross-recurrence quantitative analysis revealed that SIB and aggression preceded emotion dysregulation more often than emotion dysregulation preceded SIB and aggression. Future research, perhaps using ambulatory psychophysiological measures, is needed to understand whether emotion dysregulation may sometimes be present but not easily observed during SIB and aggression. LAY SUMMARY: This study provides insight into how overt emotion dysregulation (i.e., visible distress), aggression, and self-injury unfold in real-time for autistic individuals. Participants were 53 autistic youth staying in a psychiatric hospital. Research staff observed participants in everyday activities on the hospital unit and noted instances of aggression, self-injurious behavior, and emotion dysregulation. Results suggest that aggression and self-injury sometimes occur with visible signs of distress but also often occur without visible distress. In addition, observable distress was more common in the moments after these behaviors than in the moments before. En ligne : http://dx.doi.org/10.1002/aur.2773 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] Mapping the time course of overt emotion dysregulation, self-injurious behavior, and aggression in psychiatrically hospitalized autistic youth: A naturalistic study [Texte imprimé et/ou numérique] / Jessie B. NORTHRUP, Auteur ; Matthew S. GOODWIN, Auteur ; Christine B. PEURA, Auteur ; Qi CHEN, Auteur ; Briana J. TAYLOR, Auteur ; Matthew S. SIEGEL, Auteur ; Carla A. MAZEFSKY, Auteur . - p.1855-1867. Langues : Anglais (eng) in Autism Research > 15-10 (October 2022) . - p.1855-1867 Mots-clés : aggressive behavior  autism inpatient collection  autism spectrum disorder  emotion dysregulation  self-injurious behavior Index. décimale : PER Périodiques Résumé : Challenges with emotion dysregulation, self-injurious behavior (SIB), and aggression are common in autistic individuals. Prior research on the relationships between these behaviors is limited mainly to cross-sectional correlations of parent-report data. Understanding how emotion dysregulation, SIB, and aggression present and relate to one another in real-time could add to our understanding of the context and function of these behaviors. The present study examined the real-time occurrence and temporal relationships between these behaviors in 53 psychiatrically hospitalized autistic youth. Over 500 hours of behavioral observation occurred during everyday activities in the hospital. Start and stop times for instances of overt emotion dysregulation, SIB, and aggression were coded live using a custom mobile phone app. Results indicated large individual variability in the frequency and duration of these behaviors and their co-occurrence. Both SIB and aggression co-occurred with overt emotion dysregulation at above-chance levels, suggesting a role for emotional distress in the occurrence of these behaviors. However, there was substantial variability within and between individuals in co-occurrence, and SIB and aggression often (and for some individuals, almost always) occurred without overt emotion dysregulation. Relatedly, cross-recurrence quantitative analysis revealed that SIB and aggression preceded emotion dysregulation more often than emotion dysregulation preceded SIB and aggression. Future research, perhaps using ambulatory psychophysiological measures, is needed to understand whether emotion dysregulation may sometimes be present but not easily observed during SIB and aggression. LAY SUMMARY: This study provides insight into how overt emotion dysregulation (i.e., visible distress), aggression, and self-injury unfold in real-time for autistic individuals. Participants were 53 autistic youth staying in a psychiatric hospital. Research staff observed participants in everyday activities on the hospital unit and noted instances of aggression, self-injurious behavior, and emotion dysregulation. Results suggest that aggression and self-injury sometimes occur with visible signs of distress but also often occur without visible distress. In addition, observable distress was more common in the moments after these behaviors than in the moments before. En ligne : http://dx.doi.org/10.1002/aur.2773 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

Research 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)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1173-1183 Titre : Research Review: The strength of the genetic overlap between ADHD and other psychiatric symptoms - a systematic review and meta-analysis Type de document : Texte imprimé et/ou numérique Auteurs : Anneli ANDERSSON, Auteur ; Catherine TUVBLAD, Auteur ; Qi CHEN, Auteur ; Ebba DU RIETZ, Auteur ; Samuele CORTESE, Auteur ; Ralf KUJA-HALKOLA, Auteur ; Henrik LARSSON, Auteur Article en page(s) : p.1173-1183 Langues : Anglais (eng) Mots-clés : Adhd  externalizing  genetic  internalizing  neurodevelopmental  overlap  twins Index. décimale : PER Périodiques Résumé : BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) frequently co-occurs with other psychiatric disorders. Twin studies have established that these co-occurrences are in part due to shared genetic risks. However, the strength of these genetic overlaps and the potential heterogeneity accounted for by type of psychiatric symptoms, age, and methods of assessment remain unclear. We conducted a systematic review to fill this gap. METHODS: We searched PubMed, PsycINFO, Embase, and Web of Science until March 07, 2019. Genetic correlations (r(g) ) were used as effect size measures. RESULTS: A total of 31 independent studies fulfilled the inclusion criteria. The pooled estimates showed that the associations between ADHD and other psychiatric symptoms were partly explained by shared genetic factors, with a pooled genetic correlation of 0.50, 95% confidence interval: 0.46-0.60. The genetic correlations (r(g) ) between ADHD and externalizing (r(g)  = .49 [0.37-0.61]), internalizing (r(g)  = .50 [0.39-0.69]), and neurodevelopmental (r(g)  = .56 [0.47-0.66]) symptoms were similar in magnitude. The genetic correlations in childhood and adulthood were r(g)  = .53 (0.43-0.63) and r(g)  = .51 (0.44-0.56), respectively. For methods of assessment, the genetic correlations were also similar in strength, self-reports r(g)  = .52 (0.47-0.58), other informants r(g)  = .55 (0.41-0.69), and combined raters r(g)  = .50 (0.33-0.65). CONCLUSIONS: These findings indicate that the co-occurrence of externalizing, internalizing, and neurodevelopmental disorder symptoms in individuals with ADHD symptoms in part is due to a shared genetic risk. En ligne : http://dx.doi.org/10.1111/jcpp.13233 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 [article] Research Review: The strength of the genetic overlap between ADHD and other psychiatric symptoms - a systematic review and meta-analysis [Texte imprimé et/ou numérique] / Anneli ANDERSSON, Auteur ; Catherine TUVBLAD, Auteur ; Qi CHEN, Auteur ; Ebba DU RIETZ, Auteur ; Samuele CORTESE, Auteur ; Ralf KUJA-HALKOLA, Auteur ; Henrik LARSSON, Auteur . - p.1173-1183. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 61-11 (November 2020) . - p.1173-1183 Mots-clés : Adhd  externalizing  genetic  internalizing  neurodevelopmental  overlap  twins Index. décimale : PER Périodiques Résumé : BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) frequently co-occurs with other psychiatric disorders. Twin studies have established that these co-occurrences are in part due to shared genetic risks. However, the strength of these genetic overlaps and the potential heterogeneity accounted for by type of psychiatric symptoms, age, and methods of assessment remain unclear. We conducted a systematic review to fill this gap. METHODS: We searched PubMed, PsycINFO, Embase, and Web of Science until March 07, 2019. Genetic correlations (r(g) ) were used as effect size measures. RESULTS: A total of 31 independent studies fulfilled the inclusion criteria. The pooled estimates showed that the associations between ADHD and other psychiatric symptoms were partly explained by shared genetic factors, with a pooled genetic correlation of 0.50, 95% confidence interval: 0.46-0.60. The genetic correlations (r(g) ) between ADHD and externalizing (r(g)  = .49 [0.37-0.61]), internalizing (r(g)  = .50 [0.39-0.69]), and neurodevelopmental (r(g)  = .56 [0.47-0.66]) symptoms were similar in magnitude. The genetic correlations in childhood and adulthood were r(g)  = .53 (0.43-0.63) and r(g)  = .51 (0.44-0.56), respectively. For methods of assessment, the genetic correlations were also similar in strength, self-reports r(g)  = .52 (0.47-0.58), other informants r(g)  = .55 (0.41-0.69), and combined raters r(g)  = .50 (0.33-0.65). CONCLUSIONS: These findings indicate that the co-occurrence of externalizing, internalizing, and neurodevelopmental disorder symptoms in individuals with ADHD symptoms in part is due to a shared genetic risk. En ligne : http://dx.doi.org/10.1111/jcpp.13233 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434

Shared 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)  

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Shared 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)  

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Use of medication for attention-deficit/hyperactivity disorder and risk of unintentional injuries in children and adolescents with co-occurring neurodevelopmental disorders / Laura GHIRARDI in Journal of Child Psychology and Psychiatry, 61-2 (February 2020)  

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