Health Services Use and Costs in Individuals with Autism Spectrum Disorder in Germany: Results from a Survey in ASD Outpatient Clinics / J. HOFER in Journal of Autism and Developmental Disorders, 52-2 (February 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-2 (February 2022) . - p.540-552 Titre : Health Services Use and Costs in Individuals with Autism Spectrum Disorder in Germany: Results from a Survey in ASD Outpatient Clinics Type de document : texte imprimé Auteurs : J. HOFER, Auteur ; Falk HOFFMANN, Auteur ; Michael DÖRKS, Auteur ; Inge KAMP-BECKER, Auteur ; Charlotte KÃœPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Sanna STROTH, Auteur ; Nicole WOLFF, Auteur ; Christian J. BACHMANN, Auteur Article en page(s) : p.540-552 Langues : Anglais (eng) Mots-clés : Ambulatory Care Facilities  Autism Spectrum Disorder/epidemiology/therapy  Female  Germany/epidemiology  Health Care Costs  Humans  Male  Mental Health Services  Adolescents  Adults  Children  Costs  Germany  Health services Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASD) are associated with high services use, but European data on costs are scarce. Utilisation and annual costs of 385 individuals with ASD (aged 4-67 years; 18.2% females; 37.4% IQ < 85) from German outpatient clinics were assessed. Average annual costs per person were 3287 EUR, with psychiatric inpatient care (19.8%), pharmacotherapy (11.1%), and occupational therapy (11.1%) being the largest cost components. Females incurred higher costs than males (4864 EUR vs. 2936 EUR). In a regression model, female sex (Cost Ratio: 1.65), lower IQ (1.90), and Asperger syndrome (1.54) were associated with higher costs. In conclusion, ASD-related health costs are comparable to those of schizophrenia, thus underlining its public health relevance. Higher costs in females demand further research. En ligne : http://dx.doi.org/10.1007/s10803-021-04955-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455 [article] Health Services Use and Costs in Individuals with Autism Spectrum Disorder in Germany: Results from a Survey in ASD Outpatient Clinics [texte imprimé] / J. HOFER, Auteur ; Falk HOFFMANN, Auteur ; Michael DÖRKS, Auteur ; Inge KAMP-BECKER, Auteur ; Charlotte KÃœPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Sanna STROTH, Auteur ; Nicole WOLFF, Auteur ; Christian J. BACHMANN, Auteur . - p.540-552. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-2 (February 2022) . - p.540-552 Mots-clés : Ambulatory Care Facilities  Autism Spectrum Disorder/epidemiology/therapy  Female  Germany/epidemiology  Health Care Costs  Humans  Male  Mental Health Services  Adolescents  Adults  Children  Costs  Germany  Health services Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASD) are associated with high services use, but European data on costs are scarce. Utilisation and annual costs of 385 individuals with ASD (aged 4-67 years; 18.2% females; 37.4% IQ < 85) from German outpatient clinics were assessed. Average annual costs per person were 3287 EUR, with psychiatric inpatient care (19.8%), pharmacotherapy (11.1%), and occupational therapy (11.1%) being the largest cost components. Females incurred higher costs than males (4864 EUR vs. 2936 EUR). In a regression model, female sex (Cost Ratio: 1.65), lower IQ (1.90), and Asperger syndrome (1.54) were associated with higher costs. In conclusion, ASD-related health costs are comparable to those of schizophrenia, thus underlining its public health relevance. Higher costs in females demand further research. En ligne : http://dx.doi.org/10.1007/s10803-021-04955-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455

How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey / Tolou MASLAHATI in Journal of Autism and Developmental Disorders, 52-3 (March 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-3 (March 2022) . - p.1066-1076 Titre : How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey Type de document : texte imprimé Auteurs : Tolou MASLAHATI, Auteur ; Christian J. BACHMANN, Auteur ; J. HOFER, Auteur ; Charlotte KÃœPPER, Auteur ; Sanna STROTH, Auteur ; Nicole WOLFF, Auteur ; Luise POUSTKA, Auteur ; Veit ROESSNER, Auteur ; Inge KAMP-BECKER, Auteur ; Falk HOFFMANN, Auteur ; Stefan ROEPKE, Auteur Article en page(s) : p.1066-1076 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/epidemiology  Cross-Sectional Studies  Employment  Germany  Humans  Occupations  Surveys and Questionnaires  Autism  Autism Spectrum Disorder  Education  Labor Market Index. décimale : PER Périodiques Résumé : International studies show disadvantages for adults with autism spectrum disorder (ASD) in the labor market. Data about their participation in the German labor market are scarce. The aim of this study was to examine the integration of adults with ASD in the German labor market in terms of education, employment and type of occupation by means of a cross-sectional-study, using a postal questionnaire. Findings show above average levels of education for adults with ASD compared to the general population of Germany and simultaneously, below average rates of employment and high rates of financial dependency. That indicates a poor integration of adults with ASD in the German labor market and emphasizes the need for vocational support policies for adults with ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-05008-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455 [article] How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey [texte imprimé] / Tolou MASLAHATI, Auteur ; Christian J. BACHMANN, Auteur ; J. HOFER, Auteur ; Charlotte KÃœPPER, Auteur ; Sanna STROTH, Auteur ; Nicole WOLFF, Auteur ; Luise POUSTKA, Auteur ; Veit ROESSNER, Auteur ; Inge KAMP-BECKER, Auteur ; Falk HOFFMANN, Auteur ; Stefan ROEPKE, Auteur . - p.1066-1076. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-3 (March 2022) . - p.1066-1076 Mots-clés : Adult  Autism Spectrum Disorder/epidemiology  Cross-Sectional Studies  Employment  Germany  Humans  Occupations  Surveys and Questionnaires  Autism  Autism Spectrum Disorder  Education  Labor Market Index. décimale : PER Périodiques Résumé : International studies show disadvantages for adults with autism spectrum disorder (ASD) in the labor market. Data about their participation in the German labor market are scarce. The aim of this study was to examine the integration of adults with ASD in the German labor market in terms of education, employment and type of occupation by means of a cross-sectional-study, using a postal questionnaire. Findings show above average levels of education for adults with ASD compared to the general population of Germany and simultaneously, below average rates of employment and high rates of financial dependency. That indicates a poor integration of adults with ASD in the German labor market and emphasizes the need for vocational support policies for adults with ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-05008-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455

Imitation and recognition of facial emotions in autism: a computer vision approach / Hanna DRIMALLA in Molecular Autism, 12 (2021)  

Public ISBD [article]  inMolecular Autism > 12 (2021) . - 27 p. Titre : Imitation and recognition of facial emotions in autism: a computer vision approach Type de document : texte imprimé Auteurs : Hanna DRIMALLA, Auteur ; Irina BASKOW, Auteur ; Behnoush BEHNIA, Auteur ; Stefan ROEPKE, Auteur ; Isabel DZIOBEK, Auteur Article en page(s) : 27 p. Langues : Anglais (eng) Mots-clés : Adult  Autistic Disorder/psychology  Emotions  Facial Expression  Female  Humans  Imitative Behavior  Male  Middle Aged  Recognition, Psychology  Signal Processing, Computer-Assisted  Young Adult  Autism  Automated analysis  Emotion recognition  Imitation Index. décimale : PER Périodiques Résumé : BACKGROUND: Imitation of facial expressions plays an important role in social functioning. However, little is known about the quality of facial imitation in individuals with autism and its relationship with defining difficulties in emotion recognition. METHODS: We investigated imitation and recognition of facial expressions in 37 individuals with autism spectrum conditions and 43 neurotypical controls. Using a novel computer-based face analysis, we measured instructed imitation of facial emotional expressions and related it to emotion recognition abilities. RESULTS: Individuals with autism imitated facial expressions if instructed to do so, but their imitation was both slower and less precise than that of neurotypical individuals. In both groups, a more precise imitation scaled positively with participants' accuracy of emotion recognition. LIMITATIONS: Given the study's focus on adults with autism without intellectual impairment, it is unclear whether the results generalize to children with autism or individuals with intellectual disability. Further, the new automated facial analysis, despite being less intrusive than electromyography, might be less sensitive. CONCLUSIONS: Group differences in emotion recognition, imitation and their interrelationships highlight potential for treatment of social interaction problems in individuals with autism. En ligne : http://dx.doi.org/10.1186/s13229-021-00430-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459 [article] Imitation and recognition of facial emotions in autism: a computer vision approach [texte imprimé] / Hanna DRIMALLA, Auteur ; Irina BASKOW, Auteur ; Behnoush BEHNIA, Auteur ; Stefan ROEPKE, Auteur ; Isabel DZIOBEK, Auteur . - 27 p. Langues : Anglais (eng) in Molecular Autism > 12 (2021) . - 27 p. Mots-clés : Adult  Autistic Disorder/psychology  Emotions  Facial Expression  Female  Humans  Imitative Behavior  Male  Middle Aged  Recognition, Psychology  Signal Processing, Computer-Assisted  Young Adult  Autism  Automated analysis  Emotion recognition  Imitation Index. décimale : PER Périodiques Résumé : BACKGROUND: Imitation of facial expressions plays an important role in social functioning. However, little is known about the quality of facial imitation in individuals with autism and its relationship with defining difficulties in emotion recognition. METHODS: We investigated imitation and recognition of facial expressions in 37 individuals with autism spectrum conditions and 43 neurotypical controls. Using a novel computer-based face analysis, we measured instructed imitation of facial emotional expressions and related it to emotion recognition abilities. RESULTS: Individuals with autism imitated facial expressions if instructed to do so, but their imitation was both slower and less precise than that of neurotypical individuals. In both groups, a more precise imitation scaled positively with participants' accuracy of emotion recognition. LIMITATIONS: Given the study's focus on adults with autism without intellectual impairment, it is unclear whether the results generalize to children with autism or individuals with intellectual disability. Further, the new automated facial analysis, despite being less intrusive than electromyography, might be less sensitive. CONCLUSIONS: Group differences in emotion recognition, imitation and their interrelationships highlight potential for treatment of social interaction problems in individuals with autism. En ligne : http://dx.doi.org/10.1186/s13229-021-00430-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459

Personality Pathology of Adults With Autism Spectrum Disorder Without Accompanying Intellectual Impairment in Comparison to Adults With Personality Disorders / Sandra STRUNZ in Journal of Autism and Developmental Disorders, 45-12 (December 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-12 (December 2015) . - p.4026-4038 Titre : Personality Pathology of Adults With Autism Spectrum Disorder Without Accompanying Intellectual Impairment in Comparison to Adults With Personality Disorders Type de document : texte imprimé Auteurs : Sandra STRUNZ, Auteur ; Linda WESTPHAL, Auteur ; Kathrin RITTER, Auteur ; Isabella HEUSER, Auteur ; Isabel DZIOBEK, Auteur ; Stefan ROEPKE, Auteur Année de publication : 2015 Article en page(s) : p.4026-4038 Langues : Anglais (eng) Mots-clés : Narcissisme  Autism spectrum disorder  Asperger syndrome  Borderline personality disorder  Personality traits  Narcissistic personality disorder Index. décimale : PER Périodiques Résumé : Differentiating autism spectrum disorders (ASDs) without accompanying intellectual impairment from personality disorders is often challenging. Identifying personality traits and personality pathology specific to ASD might facilitate diagnostic procedure. We recruited a sample of 59 adults with ASD without accompanying intellectual impairment, 62 individuals with narcissistic personality disorder, 80 individuals with borderline personality disorder, and 106 nonclinical controls. Personality traits, measured with the neo-personality inventory-revised (NEO-PI-R), and personality pathology, measured with the dimensional assessment of personality pathology (DAPP-BQ), were assessed. Personality traits and personality pathology specific to ASD could be identified. ASD individuals scored significantly lower on the NEO-PI-R scales extraversion and openness to experience and significantly higher on the DAPP-BQ scales inhibitedness and compulsivity relative to all other groups. Diagnostic implications are discussed. En ligne : http://dx.doi.org/10.1007/s10803-014-2183-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=274 [article] Personality Pathology of Adults With Autism Spectrum Disorder Without Accompanying Intellectual Impairment in Comparison to Adults With Personality Disorders [texte imprimé] / Sandra STRUNZ, Auteur ; Linda WESTPHAL, Auteur ; Kathrin RITTER, Auteur ; Isabella HEUSER, Auteur ; Isabel DZIOBEK, Auteur ; Stefan ROEPKE, Auteur . - 2015 . - p.4026-4038. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-12 (December 2015) . - p.4026-4038 Mots-clés : Narcissisme  Autism spectrum disorder  Asperger syndrome  Borderline personality disorder  Personality traits  Narcissistic personality disorder Index. décimale : PER Périodiques Résumé : Differentiating autism spectrum disorders (ASDs) without accompanying intellectual impairment from personality disorders is often challenging. Identifying personality traits and personality pathology specific to ASD might facilitate diagnostic procedure. We recruited a sample of 59 adults with ASD without accompanying intellectual impairment, 62 individuals with narcissistic personality disorder, 80 individuals with borderline personality disorder, and 106 nonclinical controls. Personality traits, measured with the neo-personality inventory-revised (NEO-PI-R), and personality pathology, measured with the dimensional assessment of personality pathology (DAPP-BQ), were assessed. Personality traits and personality pathology specific to ASD could be identified. ASD individuals scored significantly lower on the NEO-PI-R scales extraversion and openness to experience and significantly higher on the DAPP-BQ scales inhibitedness and compulsivity relative to all other groups. Diagnostic implications are discussed. En ligne : http://dx.doi.org/10.1007/s10803-014-2183-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=274

Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder / Sanna STROTH in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 11 p. Titre : Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder Type de document : texte imprimé Auteurs : Sanna STROTH, Auteur ; Johannes TAUSCHER, Auteur ; Nicole WOLFF, Auteur ; Charlotte KÃœPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Dominik HEIDER, Auteur ; Inge KAMP-BECKER, Auteur Article en page(s) : 11 p. Langues : Anglais (eng) Mots-clés : Affect  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Female  Humans  Intellectual Disability/diagnosis  Male  Adi-r  Ados  Asd  Diagnostics  Female autism  Phenotype  Sex Index. décimale : PER Périodiques Résumé : BACKGROUND: Although autism spectrum disorder (ASD) is a common developmental disorder, our knowledge about a behavioral and neurobiological female phenotype is still scarce. As the conceptualization and understanding of ASD are mainly based on the investigation of male individuals, females with ASD may not be adequately identified by routine clinical diagnostics. The present machine learning approach aimed to identify diagnostic information from the Autism Diagnostic Observation Schedule (ADOS) that discriminates best between ASD and non-ASD in females and males. METHODS: Random forests (RF) were used to discover patterns of symptoms in diagnostic data from the ADOS (modules 3 and 4) in 1057 participants with ASD (18.1% female) and 1230 participants with non-ASD (17.9% % female). Predictive performances of reduced feature models were explored and compared between females and males without intellectual disabilities. RESULTS: Reduced feature models relied on considerably fewer features from the ADOS in females compared to males, while still yielding similar classification performance (e.g., sensitivity, specificity). LIMITATIONS: As in previous studies, the current sample of females with ASD is smaller than the male sample and thus, females may still be underrepresented, limiting the statistical power to detect small to moderate effects. CONCLUSION: Our results do not suggest the need for new or altered diagnostic algorithms for females with ASD. Although we identified some phenotypic differences between females and males, the existing diagnostic tools seem to sufficiently capture the core autistic features in both groups. En ligne : http://dx.doi.org/10.1186/s13229-022-00491-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder [texte imprimé] / Sanna STROTH, Auteur ; Johannes TAUSCHER, Auteur ; Nicole WOLFF, Auteur ; Charlotte KÃœPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Dominik HEIDER, Auteur ; Inge KAMP-BECKER, Auteur . - 11 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 11 p. Mots-clés : Affect  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Female  Humans  Intellectual Disability/diagnosis  Male  Adi-r  Ados  Asd  Diagnostics  Female autism  Phenotype  Sex Index. décimale : PER Périodiques Résumé : BACKGROUND: Although autism spectrum disorder (ASD) is a common developmental disorder, our knowledge about a behavioral and neurobiological female phenotype is still scarce. As the conceptualization and understanding of ASD are mainly based on the investigation of male individuals, females with ASD may not be adequately identified by routine clinical diagnostics. The present machine learning approach aimed to identify diagnostic information from the Autism Diagnostic Observation Schedule (ADOS) that discriminates best between ASD and non-ASD in females and males. METHODS: Random forests (RF) were used to discover patterns of symptoms in diagnostic data from the ADOS (modules 3 and 4) in 1057 participants with ASD (18.1% female) and 1230 participants with non-ASD (17.9% % female). Predictive performances of reduced feature models were explored and compared between females and males without intellectual disabilities. RESULTS: Reduced feature models relied on considerably fewer features from the ADOS in females compared to males, while still yielding similar classification performance (e.g., sensitivity, specificity). LIMITATIONS: As in previous studies, the current sample of females with ASD is smaller than the male sample and thus, females may still be underrepresented, limiting the statistical power to detect small to moderate effects. CONCLUSION: Our results do not suggest the need for new or altered diagnostic algorithms for females with ASD. Although we identified some phenotypic differences between females and males, the existing diagnostic tools seem to sufficiently capture the core autistic features in both groups. En ligne : http://dx.doi.org/10.1186/s13229-022-00491-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

Small Semantic Networks in Individuals with Autism Spectrum Disorder Without Intellectual Impairment: A Verbal Fluency Approach / Felicitas EHLEN in Journal of Autism and Developmental Disorders, 50-11 (November 2020)  

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