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Résultat de la recherche
20 recherche sur le mot-clé 'psychiatric disorders'




Adolescent predictors of psychiatric disorders in adulthood: The role of emotional distress and problem drinking in emerging adulthood / Olivia N. DIGGS ; Ashlyn K. NEPPL ; Natalie L. DENBURG in Development and Psychopathology, 36-2 (May 2024)
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Titre : Adolescent predictors of psychiatric disorders in adulthood: The role of emotional distress and problem drinking in emerging adulthood Type de document : Texte imprimé et/ou numérique Auteurs : Olivia N. DIGGS, Auteur ; Ashlyn K. NEPPL, Auteur ; Natalie L. DENBURG, Auteur Article en page(s) : p.799-809 Langues : Anglais (eng) Mots-clés : alcohol problems emotional distress intergenerational transmission psychiatric disorders Index. décimale : PER Périodiques Résumé : The current study evaluated risk factors in adolescence on problem drinking and emotional distress in late adolescence and emerging adulthood, and meeting criteria for diagnosed disorders in adulthood. The study included 501 parents and their adolescent who participated from middle adolescence to adulthood. Risk factors in middle adolescence (age 18) included parent alcohol use, adolescent alcohol use, and parent and adolescent emotional distress. In late adolescence (age 18), binge drinking and emotional distress were assessed, and in emerging adulthood (age 25), alcohol problems and emotional distress were examined. Meeting criteria for substance use, behavioral, affective, or anxiety disorders were examined between the ages of 26 and 31. Results showed parent alcohol use predicted substance use disorder through late adolescent binge drinking and emerging adulthood alcohol problems. Behavioral disorders were indirectly predicted by adolescent and emerging adult emotional distress. Affective disorders were indirectly predicted by parent emotional distress through adolescent emotional distress. Finally, anxiety disorders were predicted by parent alcohol use via adolescent drinking; parent emotional distress via adolescent emotional distress, and through adolescent alcohol use and emotional distress. Results provided support for the intergenerational transmission of problem drinking and emotional distress on meeting criteria for diagnosed psychiatric disorders in adulthood. En ligne : https://dx.doi.org/10.1017/S0954579423000081 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=528
in Development and Psychopathology > 36-2 (May 2024) . - p.799-809[article] Adolescent predictors of psychiatric disorders in adulthood: The role of emotional distress and problem drinking in emerging adulthood [Texte imprimé et/ou numérique] / Olivia N. DIGGS, Auteur ; Ashlyn K. NEPPL, Auteur ; Natalie L. DENBURG, Auteur . - p.799-809.
Langues : Anglais (eng)
in Development and Psychopathology > 36-2 (May 2024) . - p.799-809
Mots-clés : alcohol problems emotional distress intergenerational transmission psychiatric disorders Index. décimale : PER Périodiques Résumé : The current study evaluated risk factors in adolescence on problem drinking and emotional distress in late adolescence and emerging adulthood, and meeting criteria for diagnosed disorders in adulthood. The study included 501 parents and their adolescent who participated from middle adolescence to adulthood. Risk factors in middle adolescence (age 18) included parent alcohol use, adolescent alcohol use, and parent and adolescent emotional distress. In late adolescence (age 18), binge drinking and emotional distress were assessed, and in emerging adulthood (age 25), alcohol problems and emotional distress were examined. Meeting criteria for substance use, behavioral, affective, or anxiety disorders were examined between the ages of 26 and 31. Results showed parent alcohol use predicted substance use disorder through late adolescent binge drinking and emerging adulthood alcohol problems. Behavioral disorders were indirectly predicted by adolescent and emerging adult emotional distress. Affective disorders were indirectly predicted by parent emotional distress through adolescent emotional distress. Finally, anxiety disorders were predicted by parent alcohol use via adolescent drinking; parent emotional distress via adolescent emotional distress, and through adolescent alcohol use and emotional distress. Results provided support for the intergenerational transmission of problem drinking and emotional distress on meeting criteria for diagnosed psychiatric disorders in adulthood. En ligne : https://dx.doi.org/10.1017/S0954579423000081 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=528 An atlas of genetic correlations between gestational age and common psychiatric disorders / Yao YAO in Autism Research, 15-6 (June 2022)
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Titre : An atlas of genetic correlations between gestational age and common psychiatric disorders Type de document : Texte imprimé et/ou numérique Auteurs : Yao YAO, Auteur ; Chun'e LI, Auteur ; Peilin MENG, Auteur ; Bolun CHENG, Auteur ; Shiqiang CHENG, Auteur ; Li LIU, Auteur ; Xuena YANG, Auteur ; Yumeng JIA, Auteur ; Yan WEN, Auteur ; Feng ZHANG, Auteur Article en page(s) : p.1008-1017 Langues : Anglais (eng) Mots-clés : Attention Deficit Disorder with Hyperactivity/genetics Autism Spectrum Disorder/genetics Depressive Disorder, Major/genetics Female Genetic Predisposition to Disease Genome-Wide Association Study Gestational Age Humans Infant, Newborn Mendelian Randomization Analysis Premature Birth/genetics Proteomics genetic correlation linkage disequilibrium score regression psychiatric disorders Index. décimale : PER Périodiques Résumé : We aim to systematically explore the potential genetic correlations between five major psychiatric disorders and gestational ages. Genome-wide association study (GWAS) summary datasets of attention deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) in discovery were downloaded from the Psychiatric GWAS Consortium (PGC) website. Suggestive (Raw p?0.05) genetic associations in the discovery phrase were further replicated in independent GWASs which downloaded from PGC, the FinnGen study or Integrative Psychiatric Research (iPSYCH) website. GWASs of gestational duration, preterm and post-term birth were derived from previous studies of infants from the Early Growth Genetics (EGG) Consortium, the iPSYCH study, and the Genomic and Proteomic Network for Preterm Birth Research (GPN). We calculated genetic correlations using linkage disequilibrium score (LDSC) regression. Mendelian randomization (MR) analyses were performed to investigate the causal effects. We identified four suggestive genetic correlations between psychiatric disorders and gestational age factors in discovery LDSC and two replicated in a confirmation LDSC: gestational duration and ADHD (r(g) = -0.1405, FDR p = 0.0406), post-term birth and SCZ (r(g) = -0.2003, FDR p = 0.0042). We also observed causal effect of post-term birth on SCZ by MR (P(Weighted median) = 0.037, P(Inverse variance weighted) = 0.007). Our analysis suggested no significant evidence of horizontal pleiotropy and heterogeneity. This study showed the genetic correlation evidences between gestational age phenotypes and psychiatric disorders, providing novel clues for understanding the pathogenic factors of common psychiatric disorders. LAY SUMMARY: Whereas gestational age factors were reported to be associated with psychiatric disorders, the genetic relationship and causality remain to be revealed. The present study reported the first large-scale genetic correlations investigation of the associations between gestational age phenotypes and psychiatric disorders. Results indicate causal relationships between post-term birth and schizophrenia (SCZ), as well as suggestive genetic correlations between gestational duration and attention deficit/hyperactivity disorder (ADHD). This study provided novel clues for understanding the pathogenic factors of common psychiatric disorders. En ligne : http://dx.doi.org/10.1002/aur.2719 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476
in Autism Research > 15-6 (June 2022) . - p.1008-1017[article] An atlas of genetic correlations between gestational age and common psychiatric disorders [Texte imprimé et/ou numérique] / Yao YAO, Auteur ; Chun'e LI, Auteur ; Peilin MENG, Auteur ; Bolun CHENG, Auteur ; Shiqiang CHENG, Auteur ; Li LIU, Auteur ; Xuena YANG, Auteur ; Yumeng JIA, Auteur ; Yan WEN, Auteur ; Feng ZHANG, Auteur . - p.1008-1017.
Langues : Anglais (eng)
in Autism Research > 15-6 (June 2022) . - p.1008-1017
Mots-clés : Attention Deficit Disorder with Hyperactivity/genetics Autism Spectrum Disorder/genetics Depressive Disorder, Major/genetics Female Genetic Predisposition to Disease Genome-Wide Association Study Gestational Age Humans Infant, Newborn Mendelian Randomization Analysis Premature Birth/genetics Proteomics genetic correlation linkage disequilibrium score regression psychiatric disorders Index. décimale : PER Périodiques Résumé : We aim to systematically explore the potential genetic correlations between five major psychiatric disorders and gestational ages. Genome-wide association study (GWAS) summary datasets of attention deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) in discovery were downloaded from the Psychiatric GWAS Consortium (PGC) website. Suggestive (Raw p?0.05) genetic associations in the discovery phrase were further replicated in independent GWASs which downloaded from PGC, the FinnGen study or Integrative Psychiatric Research (iPSYCH) website. GWASs of gestational duration, preterm and post-term birth were derived from previous studies of infants from the Early Growth Genetics (EGG) Consortium, the iPSYCH study, and the Genomic and Proteomic Network for Preterm Birth Research (GPN). We calculated genetic correlations using linkage disequilibrium score (LDSC) regression. Mendelian randomization (MR) analyses were performed to investigate the causal effects. We identified four suggestive genetic correlations between psychiatric disorders and gestational age factors in discovery LDSC and two replicated in a confirmation LDSC: gestational duration and ADHD (r(g) = -0.1405, FDR p = 0.0406), post-term birth and SCZ (r(g) = -0.2003, FDR p = 0.0042). We also observed causal effect of post-term birth on SCZ by MR (P(Weighted median) = 0.037, P(Inverse variance weighted) = 0.007). Our analysis suggested no significant evidence of horizontal pleiotropy and heterogeneity. This study showed the genetic correlation evidences between gestational age phenotypes and psychiatric disorders, providing novel clues for understanding the pathogenic factors of common psychiatric disorders. LAY SUMMARY: Whereas gestational age factors were reported to be associated with psychiatric disorders, the genetic relationship and causality remain to be revealed. The present study reported the first large-scale genetic correlations investigation of the associations between gestational age phenotypes and psychiatric disorders. Results indicate causal relationships between post-term birth and schizophrenia (SCZ), as well as suggestive genetic correlations between gestational duration and attention deficit/hyperactivity disorder (ADHD). This study provided novel clues for understanding the pathogenic factors of common psychiatric disorders. En ligne : http://dx.doi.org/10.1002/aur.2719 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 Annual Research Review: Progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders / Alexander HAUBOLD in Journal of Child Psychology and Psychiatry, 53-5 (May 2012)
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Titre : Annual Research Review: Progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders Type de document : Texte imprimé et/ou numérique Auteurs : Alexander HAUBOLD, Auteur ; Bradley S. PETERSON, Auteur ; Ravi BANSAL, Auteur Année de publication : 2012 Article en page(s) : p.519-535 Langues : Anglais (eng) Mots-clés : Machine learning brain morphometry automated diagnosis cortical thickness psychiatric disorders cross validationsupport vector machines Index. décimale : PER Périodiques Résumé : Brain morphometry in recent decades has increased our understanding of the neural bases of psychiatric disorders by localizing anatomical disturbances to specific nuclei and subnuclei of the brain. At least some of these disturbances precede the overt expression of clinical symptoms and possibly are endophenotypes that could be used to diagnose an individual accurately as having a specific psychiatric disorder. More accurate diagnoses could significantly reduce the emotional and financial burden of disease by aiding clinicians in implementing appropriate treatments earlier and in tailoring treatment to the individual needs. Several methods, especially those based on machine learning, have been proposed that use anatomical brain measures and gold-standard diagnoses of participants to learn decision rules that classify a person automatically as having one disorder rather than another. We review the general principles and procedures for machine learning, particularly as applied to diagnostic classification, and then review the procedures that have thus far attempted to diagnose psychiatric illnesses automatically using anatomical measures of the brain. We discuss the strengths and limitations of extant procedures and note that the sensitivity and specificity of these procedures in their most successful implementations have approximated 90%. Although these methods have not yet been applied within clinical settings, they provide strong evidence that individual patients can be diagnosed accurately using the spatial pattern of disturbances across the brain. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02539.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=154
in Journal of Child Psychology and Psychiatry > 53-5 (May 2012) . - p.519-535[article] Annual Research Review: Progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders [Texte imprimé et/ou numérique] / Alexander HAUBOLD, Auteur ; Bradley S. PETERSON, Auteur ; Ravi BANSAL, Auteur . - 2012 . - p.519-535.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 53-5 (May 2012) . - p.519-535
Mots-clés : Machine learning brain morphometry automated diagnosis cortical thickness psychiatric disorders cross validationsupport vector machines Index. décimale : PER Périodiques Résumé : Brain morphometry in recent decades has increased our understanding of the neural bases of psychiatric disorders by localizing anatomical disturbances to specific nuclei and subnuclei of the brain. At least some of these disturbances precede the overt expression of clinical symptoms and possibly are endophenotypes that could be used to diagnose an individual accurately as having a specific psychiatric disorder. More accurate diagnoses could significantly reduce the emotional and financial burden of disease by aiding clinicians in implementing appropriate treatments earlier and in tailoring treatment to the individual needs. Several methods, especially those based on machine learning, have been proposed that use anatomical brain measures and gold-standard diagnoses of participants to learn decision rules that classify a person automatically as having one disorder rather than another. We review the general principles and procedures for machine learning, particularly as applied to diagnostic classification, and then review the procedures that have thus far attempted to diagnose psychiatric illnesses automatically using anatomical measures of the brain. We discuss the strengths and limitations of extant procedures and note that the sensitivity and specificity of these procedures in their most successful implementations have approximated 90%. Although these methods have not yet been applied within clinical settings, they provide strong evidence that individual patients can be diagnosed accurately using the spatial pattern of disturbances across the brain. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02539.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=154 Approaches for strengthening causal inference regarding prenatal risk factors for childhood behavioural and psychiatric disorders / Sarah J. LEWIS in Journal of Child Psychology and Psychiatry, 54-10 (October 2013)
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Titre : Approaches for strengthening causal inference regarding prenatal risk factors for childhood behavioural and psychiatric disorders Type de document : Texte imprimé et/ou numérique Auteurs : Sarah J. LEWIS, Auteur ; Caroline RELTON, Auteur ; Stanley ZAMMIT, Auteur ; George DAVEY SMITH, Auteur Article en page(s) : p.1095-1108 Langues : Anglais (eng) Mots-clés : Mendelian randomisation causal inference childhood behaviour psychiatric disorders instrumental variable analysis Index. décimale : PER Périodiques Résumé : Background The risk of childhood behavioural and psychiatric diseases could be substantially reduced if modifiable risk factors for these disorders were identified. The critical period for many of these exposures is likely to be in utero as this is the time when brain development is most rapid. However, due to confounding and other limitations of traditional epidemiological studies, identification of causal risk factors has proved challenging and on the whole research in this area has not been fruitful. Scope In this review, we highlight several alternative approaches including; comparisons across settings, the use of negative controls and natural experiments, which includes migration studies, studies of individuals conceived using in vitro fertilisation and not least Mendelian randomisation. We have illustrated these approaches using examples of behavioural and psychiatric disorders. Conclusion By having these approaches outlined together in one review, researchers can consider which of these methods would be most suitable for their study question. We have particularly focussed on Mendelian randomisation, as this is a relatively novel concept, in doing so, we have illustrated the concept and discused the implementation and the limitations of this approach. En ligne : http://dx.doi.org/10.1111/jcpp.12127 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=212
in Journal of Child Psychology and Psychiatry > 54-10 (October 2013) . - p.1095-1108[article] Approaches for strengthening causal inference regarding prenatal risk factors for childhood behavioural and psychiatric disorders [Texte imprimé et/ou numérique] / Sarah J. LEWIS, Auteur ; Caroline RELTON, Auteur ; Stanley ZAMMIT, Auteur ; George DAVEY SMITH, Auteur . - p.1095-1108.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 54-10 (October 2013) . - p.1095-1108
Mots-clés : Mendelian randomisation causal inference childhood behaviour psychiatric disorders instrumental variable analysis Index. décimale : PER Périodiques Résumé : Background The risk of childhood behavioural and psychiatric diseases could be substantially reduced if modifiable risk factors for these disorders were identified. The critical period for many of these exposures is likely to be in utero as this is the time when brain development is most rapid. However, due to confounding and other limitations of traditional epidemiological studies, identification of causal risk factors has proved challenging and on the whole research in this area has not been fruitful. Scope In this review, we highlight several alternative approaches including; comparisons across settings, the use of negative controls and natural experiments, which includes migration studies, studies of individuals conceived using in vitro fertilisation and not least Mendelian randomisation. We have illustrated these approaches using examples of behavioural and psychiatric disorders. Conclusion By having these approaches outlined together in one review, researchers can consider which of these methods would be most suitable for their study question. We have particularly focussed on Mendelian randomisation, as this is a relatively novel concept, in doing so, we have illustrated the concept and discused the implementation and the limitations of this approach. En ligne : http://dx.doi.org/10.1111/jcpp.12127 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=212 Associations between parental psychiatric disorders and autism spectrum disorder in the offspring / Yi-Ling CHIEN in Autism Research, 15-12 (December 2022)
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Titre : Associations between parental psychiatric disorders and autism spectrum disorder in the offspring Type de document : Texte imprimé et/ou numérique Auteurs : Yi-Ling CHIEN, Auteur ; Chi-Shin WU, Auteur ; Yen-Chen CHANG, Auteur ; Mei-Leng CHEONG, Auteur ; Tsung-Chieh YAO, Auteur ; Hui-Ju TSAI, Auteur Article en page(s) : p.2409-2419 Langues : Anglais (eng) Mots-clés : Child Female Humans Autism Spectrum Disorder/epidemiology/genetics/complications Case-Control Studies Parents/psychology Attention Deficit Disorder with Hyperactivity/epidemiology/genetics Mothers/psychology autism spectrum disorder offspring parental psychiatric disorders Index. décimale : PER Périodiques Résumé : Whether parental psychiatric disorders are associated with autism spectrum disorder (ASD) in offspring has remained inconclusive. We examined the associations of parental psychiatric disorders with ASD in offspring. This population-based case-control study used Taiwan's National Health Insurance Research Database to identify a cohort of children born from 2004 to 2017 and their parents. A total of 24,279 children with ASD (diagnostic ICD-9-CM code: 299.x or ICD-10 code F84.x) and 97,715 matched controls were included. Parental psychiatric disorders, including depressive disorders, bipolar spectrum disorders, anxiety disorders, obsessive-compulsive disorder, schizophrenia, substance use disorders, autism spectrum disorder, attention-deficit hyperactivity disorder (ADHD), and adjustment disorders were identified. Conditional logistic regressions with covariate adjustment were performed. The results suggest that parental diagnosis with any of the psychiatric disorders is associated with ASD in offspring (adjusted odds ratio [AOR]Â =Â 1.45, 95%CI: 1.40-1.51 for mothers; and AORÂ =Â 1.12, 95%CI: 1.08-1.17 for fathers). ASD in offspring was associated with schizophrenia, depressive disorders, obsessive-compulsive disorder, adjustment disorders, ADHD and ASD in both parents. The relationship between parental psychiatric disorders and the timing of the child's birth and ASD diagnosis varied across the different psychiatric disorders. The present study provides supportive evidence that parental psychiatric disorders are associated with autistic children. Furthermore, because the associations between parental psychiatric disorders and the timing of child's birth and ASD diagnosis varied across psychiatric disorders, the observed relationships may be affected by both genetic and environmental factors. Future studies are needed to disentangle the potential influence of genetic and environmental factors on the observed associations. En ligne : http://dx.doi.org/10.1002/aur.2835 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488
in Autism Research > 15-12 (December 2022) . - p.2409-2419[article] Associations between parental psychiatric disorders and autism spectrum disorder in the offspring [Texte imprimé et/ou numérique] / Yi-Ling CHIEN, Auteur ; Chi-Shin WU, Auteur ; Yen-Chen CHANG, Auteur ; Mei-Leng CHEONG, Auteur ; Tsung-Chieh YAO, Auteur ; Hui-Ju TSAI, Auteur . - p.2409-2419.
Langues : Anglais (eng)
in Autism Research > 15-12 (December 2022) . - p.2409-2419
Mots-clés : Child Female Humans Autism Spectrum Disorder/epidemiology/genetics/complications Case-Control Studies Parents/psychology Attention Deficit Disorder with Hyperactivity/epidemiology/genetics Mothers/psychology autism spectrum disorder offspring parental psychiatric disorders Index. décimale : PER Périodiques Résumé : Whether parental psychiatric disorders are associated with autism spectrum disorder (ASD) in offspring has remained inconclusive. We examined the associations of parental psychiatric disorders with ASD in offspring. This population-based case-control study used Taiwan's National Health Insurance Research Database to identify a cohort of children born from 2004 to 2017 and their parents. A total of 24,279 children with ASD (diagnostic ICD-9-CM code: 299.x or ICD-10 code F84.x) and 97,715 matched controls were included. Parental psychiatric disorders, including depressive disorders, bipolar spectrum disorders, anxiety disorders, obsessive-compulsive disorder, schizophrenia, substance use disorders, autism spectrum disorder, attention-deficit hyperactivity disorder (ADHD), and adjustment disorders were identified. Conditional logistic regressions with covariate adjustment were performed. The results suggest that parental diagnosis with any of the psychiatric disorders is associated with ASD in offspring (adjusted odds ratio [AOR]Â =Â 1.45, 95%CI: 1.40-1.51 for mothers; and AORÂ =Â 1.12, 95%CI: 1.08-1.17 for fathers). ASD in offspring was associated with schizophrenia, depressive disorders, obsessive-compulsive disorder, adjustment disorders, ADHD and ASD in both parents. The relationship between parental psychiatric disorders and the timing of the child's birth and ASD diagnosis varied across the different psychiatric disorders. The present study provides supportive evidence that parental psychiatric disorders are associated with autistic children. Furthermore, because the associations between parental psychiatric disorders and the timing of child's birth and ASD diagnosis varied across psychiatric disorders, the observed relationships may be affected by both genetic and environmental factors. Future studies are needed to disentangle the potential influence of genetic and environmental factors on the observed associations. En ligne : http://dx.doi.org/10.1002/aur.2835 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 Discourse Deficits Associated with Psychiatric Disorders and with Language Impairments in Children / Denise D. VALLANCE in Journal of Child Psychology and Psychiatry, 40-5 (July 1999)
PermalinkMicroRNAs as biomarkers for psychiatric disorders with a focus on autism spectrum disorder: Current progress in genetic association studies, expression profiling, and translational research / Yubin HU in Autism Research, 10-7 (July 2017)
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PermalinkPrevalence of psychiatric disorders in adults with autism spectrum disorder: A systematic review and meta-analysis / Jorge LUGO-MARÍN in Research in Autism Spectrum Disorders, 59 (March 2019)
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PermalinkResearch Review: Test-retest reliability of standardized diagnostic interviews to assess child and adolescent psychiatric disorders: a systematic review and meta-analysis / L. DUNCAN in Journal of Child Psychology and Psychiatry, 60-1 (January 2019)
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PermalinkThe persistence and stability of psychiatric problems in adolescents with autism spectrum disorders / Emily SIMONOFF in Journal of Child Psychology and Psychiatry, 54-2 (February 2013)
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