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Auteur Catherine LAVERTY
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Documents disponibles écrits par cet auteur (3)
Faire une suggestion Affiner la rechercheCorrection to: The prevalence and profile of autism in individuals born preterm: a systematic review and meta-analysis / Catherine LAVERTY in Journal of Neurodevelopmental Disorders, 13 (2021)
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Titre : Correction to: The prevalence and profile of autism in individuals born preterm: a systematic review and meta-analysis Type de document : texte imprimé Auteurs : Catherine LAVERTY, Auteur ; Andrew SURTEES, Auteur ; Rory O'SULLIVAN, Auteur ; Daniel SUTHERLAND, Auteur ; Christopher JONES, Auteur ; Caroline RICHARDS, Auteur Langues : Anglais (eng) Index. décimale : PER Périodiques En ligne : https://dx.doi.org/10.1186/s11689-021-09402-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574
in Journal of Neurodevelopmental Disorders > 13 (2021)[article] Correction to: The prevalence and profile of autism in individuals born preterm: a systematic review and meta-analysis [texte imprimé] / Catherine LAVERTY, Auteur ; Andrew SURTEES, Auteur ; Rory O'SULLIVAN, Auteur ; Daniel SUTHERLAND, Auteur ; Christopher JONES, Auteur ; Caroline RICHARDS, Auteur.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 13 (2021)
Index. décimale : PER Périodiques En ligne : https://dx.doi.org/10.1186/s11689-021-09402-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574 Persistence and predictors of self-injurious behaviour in autism: a ten-year prospective cohort study / Catherine LAVERTY in Molecular Autism, 11 (2020)
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Titre : Persistence and predictors of self-injurious behaviour in autism: a ten-year prospective cohort study Type de document : texte imprimé Auteurs : Catherine LAVERTY, Auteur ; Chris OLIVER, Auteur ; Jo MOSS, Auteur ; Lisa NELSON, Auteur ; Caroline RICHARDS, Auteur Article en page(s) : 8 p. Langues : Anglais (eng) Mots-clés : Autism Impulsivity Prevalence Risk marker Self-injury Self-restraint Index. décimale : PER Périodiques Résumé : BACKGROUND: Self-injurious behaviours, such as head banging, hair pulling, skin picking and scratching, are common in individuals with autism. Despite high prevalence rates, there is a paucity of longitudinal research to refine models of risk and mechanism and inform service planning. In this longitudinal study, we investigated self-injury in a cohort of individuals with autism over 10 years to identify behavioural and demographic characteristics associated with persistent self-injury. METHODS: Carers of 67 individuals with autism completed questionnaires relating to the presence of self-injury and relevant risk markers at T (1) (mean [SD] age in years 13.4 [7.7]) and T (3) (mean [SD] age in years 23.9 [7.7]) 10 years later. Forty-six of these also took part at T (2) (3 years after initial participation). Analysis assessed demographic and behavioural risk markers for self-injury, as well as the predictive value of items assessed at T (1)and T (2.) RESULTS: Self-injury was persistent in 44% of individuals over the 10-year period, with behavioural characteristics of impulsivity (p < .001) and overactivity (p = .002), identified as risk markers for persistence. A predictive model of self-injury was derived from LASSO analysis, with baseline impulsivity, interest and pleasure, stereotyped behaviour, social communication and adaptive functioning predicting self-injury over 10 years. CONCLUSIONS: In this unique longitudinal investigation into the persistence of self-injury in a non-clinical sample of individuals with autism over a 10 year period, we have identified a novel, robust and stable profile of behavioural characteristics associated with persistent self-injury. Findings support an early intervention strategy targeted towards individuals identified to be at a higher risk of developing self-injurious behaviour. En ligne : http://dx.doi.org/10.1186/s13229-019-0307-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427
in Molecular Autism > 11 (2020) . - 8 p.[article] Persistence and predictors of self-injurious behaviour in autism: a ten-year prospective cohort study [texte imprimé] / Catherine LAVERTY, Auteur ; Chris OLIVER, Auteur ; Jo MOSS, Auteur ; Lisa NELSON, Auteur ; Caroline RICHARDS, Auteur . - 8 p.
Langues : Anglais (eng)
in Molecular Autism > 11 (2020) . - 8 p.
Mots-clés : Autism Impulsivity Prevalence Risk marker Self-injury Self-restraint Index. décimale : PER Périodiques Résumé : BACKGROUND: Self-injurious behaviours, such as head banging, hair pulling, skin picking and scratching, are common in individuals with autism. Despite high prevalence rates, there is a paucity of longitudinal research to refine models of risk and mechanism and inform service planning. In this longitudinal study, we investigated self-injury in a cohort of individuals with autism over 10 years to identify behavioural and demographic characteristics associated with persistent self-injury. METHODS: Carers of 67 individuals with autism completed questionnaires relating to the presence of self-injury and relevant risk markers at T (1) (mean [SD] age in years 13.4 [7.7]) and T (3) (mean [SD] age in years 23.9 [7.7]) 10 years later. Forty-six of these also took part at T (2) (3 years after initial participation). Analysis assessed demographic and behavioural risk markers for self-injury, as well as the predictive value of items assessed at T (1)and T (2.) RESULTS: Self-injury was persistent in 44% of individuals over the 10-year period, with behavioural characteristics of impulsivity (p < .001) and overactivity (p = .002), identified as risk markers for persistence. A predictive model of self-injury was derived from LASSO analysis, with baseline impulsivity, interest and pleasure, stereotyped behaviour, social communication and adaptive functioning predicting self-injury over 10 years. CONCLUSIONS: In this unique longitudinal investigation into the persistence of self-injury in a non-clinical sample of individuals with autism over a 10 year period, we have identified a novel, robust and stable profile of behavioural characteristics associated with persistent self-injury. Findings support an early intervention strategy targeted towards individuals identified to be at a higher risk of developing self-injurious behaviour. En ligne : http://dx.doi.org/10.1186/s13229-019-0307-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427 The prevalence and profile of autism in individuals born preterm: a systematic review and meta-analysis / Catherine LAVERTY in Journal of Neurodevelopmental Disorders, 13 (2021)
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[article]
Titre : The prevalence and profile of autism in individuals born preterm: a systematic review and meta-analysis Type de document : texte imprimé Auteurs : Catherine LAVERTY, Auteur ; Andrew SURTEES, Auteur ; Rory O'SULLIVAN, Auteur ; Daniel SUTHERLAND, Auteur ; Christopher JONES, Auteur ; Caroline RICHARDS, Auteur Langues : Anglais (eng) Mots-clés : Autistic Disorder/epidemiology Female Humans Infant, Newborn Pregnancy Premature Birth/epidemiology Prevalence Autism Low birth weight Meta-analysis Prematurity Preterm Index. décimale : PER Périodiques Résumé : INTRODUCTION: Preterm birth (<37 weeks) adversely affects development in behavioural, cognitive and mental health domains. Heightened rates of autism are identified in preterm populations, indicating that prematurity may confer an increased likelihood of adverse neurodevelopmental outcomes. The present meta-analysis aims to synthesise existing literature and calculate pooled prevalence estimates for rates of autism characteristics in preterm populations. METHODS: Search terms were generated from inspection of relevant high-impact papers and a recent meta-analysis. Five databases were searched from database creation until December 2020 with PRISMA guidelines followed throughout. RESULTS: 10,900 papers were retrieved, with 52 papers included in the final analyses, further classified by assessment method (screening tools N=30, diagnostic assessment N=29). Pooled prevalence estimates for autism in preterm samples was 20% when using screening tools and 6% when using diagnostic assessments. The odds of an autism diagnosis were 3.3 times higher in individuals born preterm than in the general population. CONCLUSIONS: The pooled prevalence estimate of autism characteristics in individuals born preterm is considerably higher than in the general population. Findings highlight the clinical need to provide further monitoring and support for individuals born preterm. En ligne : https://dx.doi.org/10.1186/s11689-021-09382-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574
in Journal of Neurodevelopmental Disorders > 13 (2021)[article] The prevalence and profile of autism in individuals born preterm: a systematic review and meta-analysis [texte imprimé] / Catherine LAVERTY, Auteur ; Andrew SURTEES, Auteur ; Rory O'SULLIVAN, Auteur ; Daniel SUTHERLAND, Auteur ; Christopher JONES, Auteur ; Caroline RICHARDS, Auteur.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 13 (2021)
Mots-clés : Autistic Disorder/epidemiology Female Humans Infant, Newborn Pregnancy Premature Birth/epidemiology Prevalence Autism Low birth weight Meta-analysis Prematurity Preterm Index. décimale : PER Périodiques Résumé : INTRODUCTION: Preterm birth (<37 weeks) adversely affects development in behavioural, cognitive and mental health domains. Heightened rates of autism are identified in preterm populations, indicating that prematurity may confer an increased likelihood of adverse neurodevelopmental outcomes. The present meta-analysis aims to synthesise existing literature and calculate pooled prevalence estimates for rates of autism characteristics in preterm populations. METHODS: Search terms were generated from inspection of relevant high-impact papers and a recent meta-analysis. Five databases were searched from database creation until December 2020 with PRISMA guidelines followed throughout. RESULTS: 10,900 papers were retrieved, with 52 papers included in the final analyses, further classified by assessment method (screening tools N=30, diagnostic assessment N=29). Pooled prevalence estimates for autism in preterm samples was 20% when using screening tools and 6% when using diagnostic assessments. The odds of an autism diagnosis were 3.3 times higher in individuals born preterm than in the general population. CONCLUSIONS: The pooled prevalence estimate of autism characteristics in individuals born preterm is considerably higher than in the general population. Findings highlight the clinical need to provide further monitoring and support for individuals born preterm. En ligne : https://dx.doi.org/10.1186/s11689-021-09382-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=574

