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Détail de l'auteur
Auteur Murray MAYBERY |
Documents disponibles écrits par cet auteur (2)
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Brief Report: An Exploratory Study of the Diagnostic Reliability for Autism Spectrum Disorder / Lauren J. TAYLOR in Journal of Autism and Developmental Disorders, 47-5 (May 2017)
[article]
Titre : Brief Report: An Exploratory Study of the Diagnostic Reliability for Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Lauren J. TAYLOR, Auteur ; Valsamma EAPEN, Auteur ; Murray MAYBERY, Auteur ; Sue MIDFORD, Auteur ; Jessica PAYNTER, Auteur ; Lyndsay QUARMBY, Auteur ; Timothy SMITH, Auteur ; Katrina WILLIAMS, Auteur ; Andrew J. O. WHITEHOUSE, Auteur Article en page(s) : p.1551-1558 Langues : Anglais (eng) Mots-clés : Diagnosis Reliability Index. décimale : PER Périodiques Résumé : Previous research shows inconsistency in clinician-assigned diagnoses of Autism Spectrum Disorder (ASD). We conducted an exploratory study that examined the concordance of diagnoses between a multidisciplinary assessment team and a range of independent clinicians throughout Australia. Nine video-taped Autism Diagnostic Observation Schedule (ADOS) assessments were collected from two Australian sites. Twenty-seven Australian health professionals each observed two video-recordings and rated the degree to which the individual met the DSM-5 criteria for ASD. There was 100% agreement on the diagnostic classification for only 3 of the 9 video clips (33%), with the remaining 6 clips (66%) reaching poor reliability. In addition, only 24% of the participating clinicians achieved ‘good’ or ‘excellent’ levels of agreement (Cohen’s kappa?>?0.6) with the original ASD assessment. These findings have implications for clinical guidelines for ASD assessments. En ligne : http://dx.doi.org/10.1007/s10803-017-3054-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=305
in Journal of Autism and Developmental Disorders > 47-5 (May 2017) . - p.1551-1558[article] Brief Report: An Exploratory Study of the Diagnostic Reliability for Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Lauren J. TAYLOR, Auteur ; Valsamma EAPEN, Auteur ; Murray MAYBERY, Auteur ; Sue MIDFORD, Auteur ; Jessica PAYNTER, Auteur ; Lyndsay QUARMBY, Auteur ; Timothy SMITH, Auteur ; Katrina WILLIAMS, Auteur ; Andrew J. O. WHITEHOUSE, Auteur . - p.1551-1558.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 47-5 (May 2017) . - p.1551-1558
Mots-clés : Diagnosis Reliability Index. décimale : PER Périodiques Résumé : Previous research shows inconsistency in clinician-assigned diagnoses of Autism Spectrum Disorder (ASD). We conducted an exploratory study that examined the concordance of diagnoses between a multidisciplinary assessment team and a range of independent clinicians throughout Australia. Nine video-taped Autism Diagnostic Observation Schedule (ADOS) assessments were collected from two Australian sites. Twenty-seven Australian health professionals each observed two video-recordings and rated the degree to which the individual met the DSM-5 criteria for ASD. There was 100% agreement on the diagnostic classification for only 3 of the 9 video clips (33%), with the remaining 6 clips (66%) reaching poor reliability. In addition, only 24% of the participating clinicians achieved ‘good’ or ‘excellent’ levels of agreement (Cohen’s kappa?>?0.6) with the original ASD assessment. These findings have implications for clinical guidelines for ASD assessments. En ligne : http://dx.doi.org/10.1007/s10803-017-3054-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=305 Impact of autistic traits on the anxiety-linked attentional bias to negative information / Emily SOUTH in Research in Autism Spectrum Disorders, 98 (October 2022)
[article]
Titre : Impact of autistic traits on the anxiety-linked attentional bias to negative information Type de document : Texte imprimé et/ou numérique Auteurs : Emily SOUTH, Auteur ; Sarah PAPAELIAS, Auteur ; Ben GRAFTON, Auteur ; Colin MACLEOD, Auteur ; Murray MAYBERY, Auteur Article en page(s) : 102036 Langues : Anglais (eng) Mots-clés : Autism Autistic traits Anxiety Attentional bias Index. décimale : PER Périodiques Résumé : Background Cognitive models propose that an attentional bias to negative information (ABNI) plays a key role in the aetiology and maintenance of high trait anxiety. The findings from previous research suggest that high autistic symptoms may attenuate anxiety-linked difference in ABNI. Method This possibility was investigated by screening candidate participants (n = 871) on the Autism Spectrum Quotient and the Spielberger State-Trait Anxiety Inventory, and then recruiting four groups representing the combination of high/low autistic traits and high/low trait anxiety (n = 89), with participants completing a dot-probe task. Results Results demonstrated a significant anxiety-linked difference in ABNI in participants high in autistic traits, but not in participants low in autistic traits. Conclusions This pattern of findings stands in clear contradiction to the hypothesis that high levels of autistic traits attenuate anxiety-linked difference in ABNI. En ligne : https://doi.org/10.1016/j.rasd.2022.102036 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490
in Research in Autism Spectrum Disorders > 98 (October 2022) . - 102036[article] Impact of autistic traits on the anxiety-linked attentional bias to negative information [Texte imprimé et/ou numérique] / Emily SOUTH, Auteur ; Sarah PAPAELIAS, Auteur ; Ben GRAFTON, Auteur ; Colin MACLEOD, Auteur ; Murray MAYBERY, Auteur . - 102036.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 98 (October 2022) . - 102036
Mots-clés : Autism Autistic traits Anxiety Attentional bias Index. décimale : PER Périodiques Résumé : Background Cognitive models propose that an attentional bias to negative information (ABNI) plays a key role in the aetiology and maintenance of high trait anxiety. The findings from previous research suggest that high autistic symptoms may attenuate anxiety-linked difference in ABNI. Method This possibility was investigated by screening candidate participants (n = 871) on the Autism Spectrum Quotient and the Spielberger State-Trait Anxiety Inventory, and then recruiting four groups representing the combination of high/low autistic traits and high/low trait anxiety (n = 89), with participants completing a dot-probe task. Results Results demonstrated a significant anxiety-linked difference in ABNI in participants high in autistic traits, but not in participants low in autistic traits. Conclusions This pattern of findings stands in clear contradiction to the hypothesis that high levels of autistic traits attenuate anxiety-linked difference in ABNI. En ligne : https://doi.org/10.1016/j.rasd.2022.102036 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490