Centre d'Information et de documentation du CRA Rhône-Alpes
CRA
Informations pratiques
-
Adresse
Centre d'information et de documentation
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexHoraires
Lundi au Vendredi
9h00-12h00 13h30-16h00Contact
Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Résultat de la recherche
4 recherche sur le mot-clé 'Substance use disorder'
Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
Brief Report: Autism Spectrum Disorder and Substance Use Disorder: A Review and Case Study / Ashy C. RENGIT in Journal of Autism and Developmental Disorders, 46-7 (July 2016)
[article]
Titre : Brief Report: Autism Spectrum Disorder and Substance Use Disorder: A Review and Case Study Type de document : Texte imprimé et/ou numérique Auteurs : Ashy C. RENGIT, Auteur ; James W. MCKOWEN, Auteur ; Julie O’BRIEN, Auteur ; Yamini J. HOWE, Auteur ; Christopher J. MCDOUGLE, Auteur Article en page(s) : p.2514-2519 Langues : Anglais (eng) Mots-clés : Autism Autism spectrum disorder Substance use disorder Alcohol dependence Index. décimale : PER Périodiques Résumé : There is limited literature available on the comorbidity between autism spectrum disorder (ASD) and substance use disorder (SUD). This paper reviews existing literature and exemplifies the challenges of treating this population with a case report of an adult male with ASD and DSM-5 alcohol use disorder. This review and case study seeks to illustrate risk factors which predispose individuals with ASD to developing SUD and discuss the obstacles to and modifications of evidence-based treatments for SUD. A review of the therapeutic interventions implemented in the treatment of this young male are described to highlight potential recommendations for the general management of SUD in those with ASD. En ligne : http://dx.doi.org/10.1007/s10803-016-2763-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=290
in Journal of Autism and Developmental Disorders > 46-7 (July 2016) . - p.2514-2519[article] Brief Report: Autism Spectrum Disorder and Substance Use Disorder: A Review and Case Study [Texte imprimé et/ou numérique] / Ashy C. RENGIT, Auteur ; James W. MCKOWEN, Auteur ; Julie O’BRIEN, Auteur ; Yamini J. HOWE, Auteur ; Christopher J. MCDOUGLE, Auteur . - p.2514-2519.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 46-7 (July 2016) . - p.2514-2519
Mots-clés : Autism Autism spectrum disorder Substance use disorder Alcohol dependence Index. décimale : PER Périodiques Résumé : There is limited literature available on the comorbidity between autism spectrum disorder (ASD) and substance use disorder (SUD). This paper reviews existing literature and exemplifies the challenges of treating this population with a case report of an adult male with ASD and DSM-5 alcohol use disorder. This review and case study seeks to illustrate risk factors which predispose individuals with ASD to developing SUD and discuss the obstacles to and modifications of evidence-based treatments for SUD. A review of the therapeutic interventions implemented in the treatment of this young male are described to highlight potential recommendations for the general management of SUD in those with ASD. En ligne : http://dx.doi.org/10.1007/s10803-016-2763-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=290 Psychiatric comorbidity associated with co-occurring autism spectrum disorder and substance use disorder / Benjamin M. ISENBERG in Research in Autism Spectrum Disorders, 82 (April 2021)
[article]
Titre : Psychiatric comorbidity associated with co-occurring autism spectrum disorder and substance use disorder Type de document : Texte imprimé et/ou numérique Auteurs : Benjamin M. ISENBERG, Auteur ; Diana W. WOODWARD, Auteur ; Colin W. BURKE, Auteur ; Lisa A. NOWINSKI, Auteur ; Gagan JOSHI, Auteur ; Timothy E. WILENS, Auteur Article en page(s) : 101728 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder ASD Substance use disorder SUD Conduct disorder Index. décimale : PER Périodiques Résumé : Background Although both autism spectrum disorder (ASD) and substance use disorder (SUD) are both commonly comorbid with other psychiatric conditions, there is a paucity of research on the overlap of these disorders. The primary aim of the present study was to identify the prevalence of psychiatric comorbidities in young adults with SUD and ASD compared to those with ASD only. Method Multivariate logistic regression controlling for age was used to compare the prevalence of psychiatric disorders in a sample of treatment-seeking adult outpatients with a) ASD without SUD and b) ASD with SUD. Psychiatric and SUD diagnoses were determined by semi-structured interview (SCID for DSM IV). Results The sample included 42 patients with ASD only (mean age ± SD = 26.2 ± 8.9 years) and 21 with ASD and SUD (35.2 ± 12.6). High rates of psychopathology were found in both groups. Comorbid conduct disorder (CD) was significantly more prevalent in the ASD + SUD group (25 %) compared to those without SUD (5%; p < 0.05). There were no other significant differences between groups in the rates of non-conduct comorbid psychopathology. Conclusion In both groups, rates of psychopathology were high with CD being significantly more common in young adults with ASD and SUD. These findings highlight the importance of screening for CD in individuals with ASD to mitigate the potential development of comorbid SUD. Further research is needed to determine if CD is a true risk factor for SUD in the ASD population and identify other risk factors. En ligne : https://doi.org/10.1016/j.rasd.2021.101728 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443
in Research in Autism Spectrum Disorders > 82 (April 2021) . - 101728[article] Psychiatric comorbidity associated with co-occurring autism spectrum disorder and substance use disorder [Texte imprimé et/ou numérique] / Benjamin M. ISENBERG, Auteur ; Diana W. WOODWARD, Auteur ; Colin W. BURKE, Auteur ; Lisa A. NOWINSKI, Auteur ; Gagan JOSHI, Auteur ; Timothy E. WILENS, Auteur . - 101728.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 82 (April 2021) . - 101728
Mots-clés : Autism spectrum disorder ASD Substance use disorder SUD Conduct disorder Index. décimale : PER Périodiques Résumé : Background Although both autism spectrum disorder (ASD) and substance use disorder (SUD) are both commonly comorbid with other psychiatric conditions, there is a paucity of research on the overlap of these disorders. The primary aim of the present study was to identify the prevalence of psychiatric comorbidities in young adults with SUD and ASD compared to those with ASD only. Method Multivariate logistic regression controlling for age was used to compare the prevalence of psychiatric disorders in a sample of treatment-seeking adult outpatients with a) ASD without SUD and b) ASD with SUD. Psychiatric and SUD diagnoses were determined by semi-structured interview (SCID for DSM IV). Results The sample included 42 patients with ASD only (mean age ± SD = 26.2 ± 8.9 years) and 21 with ASD and SUD (35.2 ± 12.6). High rates of psychopathology were found in both groups. Comorbid conduct disorder (CD) was significantly more prevalent in the ASD + SUD group (25 %) compared to those without SUD (5%; p < 0.05). There were no other significant differences between groups in the rates of non-conduct comorbid psychopathology. Conclusion In both groups, rates of psychopathology were high with CD being significantly more common in young adults with ASD and SUD. These findings highlight the importance of screening for CD in individuals with ASD to mitigate the potential development of comorbid SUD. Further research is needed to determine if CD is a true risk factor for SUD in the ASD population and identify other risk factors. En ligne : https://doi.org/10.1016/j.rasd.2021.101728 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443 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 Neurocognitive predictors of substance use disorders and nicotine dependence in ADHD probands, their unaffected siblings, and controls: a 4-year prospective follow-up / Annabeth P. GROENMAN in Journal of Child Psychology and Psychiatry, 56-5 (May 2015)
[article]
Titre : Neurocognitive predictors of substance use disorders and nicotine dependence in ADHD probands, their unaffected siblings, and controls: a 4-year prospective follow-up Type de document : Texte imprimé et/ou numérique Auteurs : Annabeth P. GROENMAN, Auteur ; Jaap OOSTERLAAN, Auteur ; Corina U. GREVEN, Auteur ; Pieter Jelle VUIJK, Auteur ; Nanda N. ROMMELSE, Auteur ; Barbara FRANKE, Auteur ; Catharina A. HARTMAN, Auteur ; Pieter J. HOEKSTRA, Auteur ; Joseph SERGEANT, Auteur ; Stephen V. FARAONE, Auteur ; Jan K. BUITELAAR, Auteur Article en page(s) : p.521-529 Langues : Anglais (eng) Mots-clés : Attention-deficit/Hyperactivity disorder substance use disorder nicotine dependence neurocognitive functions Index. décimale : PER Périodiques Résumé : Background Attention-Deficit/Hyperactivity Disorder (ADHD) is a risk factor for substance use disorders (SUDs) and nicotine dependence (ND). Neurocognitive deficits may predict the increased risk of developing SUDs and nicotine dependence. Methods This study comprised three groups derived from the Dutch part of the International Multicenter ADHD Genetics (IMAGE) study: ADHD probands (n = 294), unaffected siblings (n = 161), and controls (n = 214). At baseline (age = 12.2), a range of neurocognitive functions was assessed including executive functions (inhibition, working memory, timing), measures of motor functioning (motor timing and tracking) and IQ. After a mean follow-up of 4.2 years, SUDs and ND were assessed. Results None of the neurocognitive functions predicted later SUDs or ND in ADHD probands, even after controlling for medication use and conduct disorder. Slower response inhibition predicted later nicotine dependence in unaffected siblings (OR = 2.06, 95% CI = 1.22–3.48), and lower IQ predicted increased risk for SUDs in controls (OR = 1.96, 95% CI = 1.12–3.44). Conclusions Cold executive functions, motor functioning, and IQ did not predict the elevated risk of SUDs and ND in ADHD. Future studies should target ‘hot’ executive functions such as reward processing as risk factors for SUDs or ND. En ligne : http://dx.doi.org/10.1111/jcpp.12315 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=260
in Journal of Child Psychology and Psychiatry > 56-5 (May 2015) . - p.521-529[article] Neurocognitive predictors of substance use disorders and nicotine dependence in ADHD probands, their unaffected siblings, and controls: a 4-year prospective follow-up [Texte imprimé et/ou numérique] / Annabeth P. GROENMAN, Auteur ; Jaap OOSTERLAAN, Auteur ; Corina U. GREVEN, Auteur ; Pieter Jelle VUIJK, Auteur ; Nanda N. ROMMELSE, Auteur ; Barbara FRANKE, Auteur ; Catharina A. HARTMAN, Auteur ; Pieter J. HOEKSTRA, Auteur ; Joseph SERGEANT, Auteur ; Stephen V. FARAONE, Auteur ; Jan K. BUITELAAR, Auteur . - p.521-529.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 56-5 (May 2015) . - p.521-529
Mots-clés : Attention-deficit/Hyperactivity disorder substance use disorder nicotine dependence neurocognitive functions Index. décimale : PER Périodiques Résumé : Background Attention-Deficit/Hyperactivity Disorder (ADHD) is a risk factor for substance use disorders (SUDs) and nicotine dependence (ND). Neurocognitive deficits may predict the increased risk of developing SUDs and nicotine dependence. Methods This study comprised three groups derived from the Dutch part of the International Multicenter ADHD Genetics (IMAGE) study: ADHD probands (n = 294), unaffected siblings (n = 161), and controls (n = 214). At baseline (age = 12.2), a range of neurocognitive functions was assessed including executive functions (inhibition, working memory, timing), measures of motor functioning (motor timing and tracking) and IQ. After a mean follow-up of 4.2 years, SUDs and ND were assessed. Results None of the neurocognitive functions predicted later SUDs or ND in ADHD probands, even after controlling for medication use and conduct disorder. Slower response inhibition predicted later nicotine dependence in unaffected siblings (OR = 2.06, 95% CI = 1.22–3.48), and lower IQ predicted increased risk for SUDs in controls (OR = 1.96, 95% CI = 1.12–3.44). Conclusions Cold executive functions, motor functioning, and IQ did not predict the elevated risk of SUDs and ND in ADHD. Future studies should target ‘hot’ executive functions such as reward processing as risk factors for SUDs or ND. En ligne : http://dx.doi.org/10.1111/jcpp.12315 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=260