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Auteur Rachel KENT |
Documents disponibles écrits par cet auteur (5)



Brief Report: Testing the Psychometric Properties of the Spence Children's Anxiety Scale (SCAS) and the Screen for Child Anxiety Related Emotional Disorders (SCARED) in Autism Spectrum Disorder / Sophie CARRUTHERS in Journal of Autism and Developmental Disorders, 50-7 (July 2020)
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Titre : Brief Report: Testing the Psychometric Properties of the Spence Children's Anxiety Scale (SCAS) and the Screen for Child Anxiety Related Emotional Disorders (SCARED) in Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Sophie CARRUTHERS, Auteur ; Rachel KENT, Auteur ; Matthew J. HOLLOCKS, Auteur ; Emily SIMONOFF, Auteur Article en page(s) : p.2625-2632 Langues : Anglais (eng) Mots-clés : Anxiety Autism spectrum disorder Psychometrics Screening tools Index. décimale : PER Périodiques Résumé : Anxiety is a prevalent and impairing co-morbidity among individuals with autism spectrum disorder (ASD), yet assessment measures, including screening tools, are seldom validated with autism samples. We explored the psychometric properties of the child and parent reports of the Spence Children's Anxiety Scale (SCAS) and the Screen for Anxiety Related Disorder-71 (SCARED-71) with 49 males with ASD (10-16 years, 63% co-occurring anxiety). Both measures had excellent internal consistency and fair-good parent-child agreement. The SCAS has a higher proportion of items evaluating observable behaviors. Predictive power of the measures did not differ. Higher cut-points in the parent reports (SCARED only) and lower cut-points in the child reports may enhance prediction in this sample. Choice of measure and cut-points should be considered alongside intended purpose. En ligne : http://dx.doi.org/10.1007/s10803-018-3774-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=426
in Journal of Autism and Developmental Disorders > 50-7 (July 2020) . - p.2625-2632[article] Brief Report: Testing the Psychometric Properties of the Spence Children's Anxiety Scale (SCAS) and the Screen for Child Anxiety Related Emotional Disorders (SCARED) in Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Sophie CARRUTHERS, Auteur ; Rachel KENT, Auteur ; Matthew J. HOLLOCKS, Auteur ; Emily SIMONOFF, Auteur . - p.2625-2632.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 50-7 (July 2020) . - p.2625-2632
Mots-clés : Anxiety Autism spectrum disorder Psychometrics Screening tools Index. décimale : PER Périodiques Résumé : Anxiety is a prevalent and impairing co-morbidity among individuals with autism spectrum disorder (ASD), yet assessment measures, including screening tools, are seldom validated with autism samples. We explored the psychometric properties of the child and parent reports of the Spence Children's Anxiety Scale (SCAS) and the Screen for Anxiety Related Disorder-71 (SCARED-71) with 49 males with ASD (10-16 years, 63% co-occurring anxiety). Both measures had excellent internal consistency and fair-good parent-child agreement. The SCAS has a higher proportion of items evaluating observable behaviors. Predictive power of the measures did not differ. Higher cut-points in the parent reports (SCARED only) and lower cut-points in the child reports may enhance prediction in this sample. Choice of measure and cut-points should be considered alongside intended purpose. En ligne : http://dx.doi.org/10.1007/s10803-018-3774-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=426 How do autistic people fare in adult life and can we predict it from childhood? / Rachel KENT ; Tony CHARMAN ; Gillian BAIRD ; Andrew PICKLES ; Emily SIMONOFF in Autism Research, 16-2 (February 2023)
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Titre : How do autistic people fare in adult life and can we predict it from childhood? Type de document : Texte imprimé et/ou numérique Auteurs : Rachel KENT, Auteur ; Tony CHARMAN, Auteur ; Gillian BAIRD, Auteur ; Andrew PICKLES, Auteur ; Emily SIMONOFF, Auteur Article en page(s) : p.458-473 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract This study describes social, mental health, and quality of life outcomes in early adulthood, and examines childhood predictors in the Special Needs and Autism Project (SNAP), a longitudinal population-based cohort. Young autistic adults face variable but often substantial challenges across many areas of life. Prediction of outcomes is important to set expectations and could lead to the development of targeted early intervention. Autistic children were enrolled at age 12 and parents reported outcomes 11â€years later when their children were age 23 (n = 121). Thirty six percent of autistic adults were in competitive employment or education and 54% had frequent contact with friends. Only 5% of autistic adults were living independently, and 37% required overnight care. Moderate or severe anxiety and depression symptoms were found for 11% and 12% of young adults, respectively. Subjective quality of life was similar to UK averages except for social relationships. Using childhood IQ, autism traits and adaptive functioning meaningful predictions can be made of living situation, employment and education and physical health. Prediction was poor for friendships, mental health outcomes and other aspects of quality of life. Our results suggest that although young autistic adults face challenges across normative, social outcomes, they may be faring better in regard to mental health or quality of life. Childhood IQ, autism traits and adaptive functioning are most useful for predicting outcomes. After accounting for these factors, childhood measurements of behavioral and emotional problems and language offered little improvement in prediction of adult outcomes. En ligne : https://doi.org/10.1002/aur.2868 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=496
in Autism Research > 16-2 (February 2023) . - p.458-473[article] How do autistic people fare in adult life and can we predict it from childhood? [Texte imprimé et/ou numérique] / Rachel KENT, Auteur ; Tony CHARMAN, Auteur ; Gillian BAIRD, Auteur ; Andrew PICKLES, Auteur ; Emily SIMONOFF, Auteur . - p.458-473.
Langues : Anglais (eng)
in Autism Research > 16-2 (February 2023) . - p.458-473
Index. décimale : PER Périodiques Résumé : Abstract This study describes social, mental health, and quality of life outcomes in early adulthood, and examines childhood predictors in the Special Needs and Autism Project (SNAP), a longitudinal population-based cohort. Young autistic adults face variable but often substantial challenges across many areas of life. Prediction of outcomes is important to set expectations and could lead to the development of targeted early intervention. Autistic children were enrolled at age 12 and parents reported outcomes 11â€years later when their children were age 23 (n = 121). Thirty six percent of autistic adults were in competitive employment or education and 54% had frequent contact with friends. Only 5% of autistic adults were living independently, and 37% required overnight care. Moderate or severe anxiety and depression symptoms were found for 11% and 12% of young adults, respectively. Subjective quality of life was similar to UK averages except for social relationships. Using childhood IQ, autism traits and adaptive functioning meaningful predictions can be made of living situation, employment and education and physical health. Prediction was poor for friendships, mental health outcomes and other aspects of quality of life. Our results suggest that although young autistic adults face challenges across normative, social outcomes, they may be faring better in regard to mental health or quality of life. Childhood IQ, autism traits and adaptive functioning are most useful for predicting outcomes. After accounting for these factors, childhood measurements of behavioral and emotional problems and language offered little improvement in prediction of adult outcomes. En ligne : https://doi.org/10.1002/aur.2868 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=496
Titre : Prevalence of Anxiety in Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Rachel KENT, Auteur ; Emily SIMONOFF, Auteur Année de publication : 2017 Importance : p.5-32 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder social anxiety obsessive compulsive disorder DSM-5 specific phobia Index. décimale : PAR-B PAR-B - Anxiété Résumé : Abstract This chapter reviews the current knowledge about the prevalence of and risk factors associated with anxiety disorders in individuals with autism spectrum disorder (ASD). Prevalence rates for a diagnosis of an anxiety disorder are considered only from studies that use clinical diagnostic interviews. We report that anxiety disorders are common in individuals with ASD and overall prevalence rates for anxiety disorders as an aggregate group range between 42% and 79%. The prevalence rates for individual anxiety disorders are variable. Specific phobia, obsessive compulsive disorder, and social anxiety disorder are the most common but the rate and type of anxiety disorders may vary across age and ability level. Challenges in measuring anxiety in ASD and factors that may contribute to variation in overall rates and those for specific disorders are discussed. The objective of summarizing the research literature on anxiety in ASD to date is to set out clear guidelines for the future direction of research and also interpret the findings to highlight the key clinical implications. En ligne : http://dx.doi.org/10.1016/B978-0-12-805122-1.00002-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=300 Prevalence of Anxiety in Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Rachel KENT, Auteur ; Emily SIMONOFF, Auteur . - 2017 . - p.5-32.
Langues : Anglais (eng)
Mots-clés : Autism spectrum disorder social anxiety obsessive compulsive disorder DSM-5 specific phobia Index. décimale : PAR-B PAR-B - Anxiété Résumé : Abstract This chapter reviews the current knowledge about the prevalence of and risk factors associated with anxiety disorders in individuals with autism spectrum disorder (ASD). Prevalence rates for a diagnosis of an anxiety disorder are considered only from studies that use clinical diagnostic interviews. We report that anxiety disorders are common in individuals with ASD and overall prevalence rates for anxiety disorders as an aggregate group range between 42% and 79%. The prevalence rates for individual anxiety disorders are variable. Specific phobia, obsessive compulsive disorder, and social anxiety disorder are the most common but the rate and type of anxiety disorders may vary across age and ability level. Challenges in measuring anxiety in ASD and factors that may contribute to variation in overall rates and those for specific disorders are discussed. The objective of summarizing the research literature on anxiety in ASD to date is to set out clear guidelines for the future direction of research and also interpret the findings to highlight the key clinical implications. En ligne : http://dx.doi.org/10.1016/B978-0-12-805122-1.00002-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=300 Exemplaires
Code-barres Cote Support Localisation Section Disponibilité aucun exemplaire Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO) / Sarah J. CARRINGTON in Research in Autism Spectrum Disorders, 9 (January 2015)
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Titre : Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO) Type de document : Texte imprimé et/ou numérique Auteurs : Sarah J. CARRINGTON, Auteur ; Susan LEEKAM, Auteur ; Rachel KENT, Auteur ; Jarymke MALJAARS, Auteur ; Judith GOULD, Auteur ; Lorna WING, Auteur ; Ann LE COUTEUR, Auteur ; Ina VAN BERCKELAER-ONNES, Auteur ; Ilse NOENS, Auteur Année de publication : 2015 Article en page(s) : p.45-52 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder Diagnosis DSM-5 ICD-10 Screening Index. décimale : PER Périodiques Résumé : Abstract Recent research has investigated the capability of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) descriptions to identify individuals who should receive a diagnosis of Autism Spectrum Disorder (ASD) using standardised diagnostic instruments. Building on previous research investigating behaviours essential for the diagnosis of DSM-5 ASD, the current study investigated the sensitivity and specificity of a set of 14 items derived from the Diagnostic Interview for Social and Communication Disorders (DISCO Signposting set) that have potential for signposting the diagnosis of autism according to both the new DSM-5 criteria for ASD and ICD-10 criteria for Childhood Autism. An algorithm threshold for the Signposting set was calculated in Sample 1 (n = 67), tested in an independent validation sample (Sample 2; n = 78), and applied across age and ability sub-groups in Sample 3 (n = 190). The algorithm had excellent predictive validity according to best estimate clinical diagnosis (Samples 1 and 2) and excellent agreement with established algorithms for both DSM-5 and ICD-10 (all samples). The signposting set has potential to inform our understanding of the profile of ASD in relation to other neurodevelopmental disorders and to form the basis of a Signposting Interview for use in clinical practice. En ligne : http://dx.doi.org/10.1016/j.rasd.2014.10.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=243
in Research in Autism Spectrum Disorders > 9 (January 2015) . - p.45-52[article] Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO) [Texte imprimé et/ou numérique] / Sarah J. CARRINGTON, Auteur ; Susan LEEKAM, Auteur ; Rachel KENT, Auteur ; Jarymke MALJAARS, Auteur ; Judith GOULD, Auteur ; Lorna WING, Auteur ; Ann LE COUTEUR, Auteur ; Ina VAN BERCKELAER-ONNES, Auteur ; Ilse NOENS, Auteur . - 2015 . - p.45-52.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 9 (January 2015) . - p.45-52
Mots-clés : Autism Spectrum Disorder Diagnosis DSM-5 ICD-10 Screening Index. décimale : PER Périodiques Résumé : Abstract Recent research has investigated the capability of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) descriptions to identify individuals who should receive a diagnosis of Autism Spectrum Disorder (ASD) using standardised diagnostic instruments. Building on previous research investigating behaviours essential for the diagnosis of DSM-5 ASD, the current study investigated the sensitivity and specificity of a set of 14 items derived from the Diagnostic Interview for Social and Communication Disorders (DISCO Signposting set) that have potential for signposting the diagnosis of autism according to both the new DSM-5 criteria for ASD and ICD-10 criteria for Childhood Autism. An algorithm threshold for the Signposting set was calculated in Sample 1 (n = 67), tested in an independent validation sample (Sample 2; n = 78), and applied across age and ability sub-groups in Sample 3 (n = 190). The algorithm had excellent predictive validity according to best estimate clinical diagnosis (Samples 1 and 2) and excellent agreement with established algorithms for both DSM-5 and ICD-10 (all samples). The signposting set has potential to inform our understanding of the profile of ASD in relation to other neurodevelopmental disorders and to form the basis of a Signposting Interview for use in clinical practice. En ligne : http://dx.doi.org/10.1016/j.rasd.2014.10.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=243 Trajectories of emotional and behavioral problems from childhood to early adult life / Dominic STRINGER in Autism, 24-4 (May 2020)
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Titre : Trajectories of emotional and behavioral problems from childhood to early adult life Type de document : Texte imprimé et/ou numérique Auteurs : Dominic STRINGER, Auteur ; Rachel KENT, Auteur ; Jackie BRISKMAN, Auteur ; Steve LUKITO, Auteur ; Tony CHARMAN, Auteur ; Gillian BAIRD, Auteur ; Catherine LORD, Auteur ; Andrew PICKLES, Auteur ; Emily SIMONOFF, Auteur Article en page(s) : p.1011-1024 Langues : Anglais (eng) Mots-clés : Strengths and Difficulties Questionnaire autism emotional and behavioral problems longitudinal mental disorders Index. décimale : PER Périodiques Résumé : Although mental health problems are common in autism, relatively little is known about their stability and the factors that influence their persistence or change over the life-course. To address this, we use data from the Special Needs and Autism Project (SNAP) cohort studied at three time-points from 12 to 23?years. Using the parent-reported Strengths and Difficulties Questionnaire (SDQ) domains of conduct, emotional, and ADHD symptoms, we evaluated the role of child, family, and contextual characteristics on these three trajectories. Symptoms decreased significantly over time for all three domains, but many participants still scored above the published disorder cutoffs. Individuals showed high levels of persistence. Higher initial adaptive function and language levels predicted a greater decline in conduct and ADHD symptoms. In contrast, higher language functioning was associated with higher levels of emotional symptoms, as was lower levels of autism symptom severity and higher parental education. Those with higher neighborhood deprivation had higher initial conduct problems but a steeper decline over time. Our findings highlight that it may be possible to accurately predict mental health trajectories over this time period, which could help parents and carers in planning and help professionals target resources more efficiently. En ligne : http://dx.doi.org/10.1177/1362361320908972 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=426
in Autism > 24-4 (May 2020) . - p.1011-1024[article] Trajectories of emotional and behavioral problems from childhood to early adult life [Texte imprimé et/ou numérique] / Dominic STRINGER, Auteur ; Rachel KENT, Auteur ; Jackie BRISKMAN, Auteur ; Steve LUKITO, Auteur ; Tony CHARMAN, Auteur ; Gillian BAIRD, Auteur ; Catherine LORD, Auteur ; Andrew PICKLES, Auteur ; Emily SIMONOFF, Auteur . - p.1011-1024.
Langues : Anglais (eng)
in Autism > 24-4 (May 2020) . - p.1011-1024
Mots-clés : Strengths and Difficulties Questionnaire autism emotional and behavioral problems longitudinal mental disorders Index. décimale : PER Périodiques Résumé : Although mental health problems are common in autism, relatively little is known about their stability and the factors that influence their persistence or change over the life-course. To address this, we use data from the Special Needs and Autism Project (SNAP) cohort studied at three time-points from 12 to 23?years. Using the parent-reported Strengths and Difficulties Questionnaire (SDQ) domains of conduct, emotional, and ADHD symptoms, we evaluated the role of child, family, and contextual characteristics on these three trajectories. Symptoms decreased significantly over time for all three domains, but many participants still scored above the published disorder cutoffs. Individuals showed high levels of persistence. Higher initial adaptive function and language levels predicted a greater decline in conduct and ADHD symptoms. In contrast, higher language functioning was associated with higher levels of emotional symptoms, as was lower levels of autism symptom severity and higher parental education. Those with higher neighborhood deprivation had higher initial conduct problems but a steeper decline over time. Our findings highlight that it may be possible to accurately predict mental health trajectories over this time period, which could help parents and carers in planning and help professionals target resources more efficiently. En ligne : http://dx.doi.org/10.1177/1362361320908972 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=426