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The longitudinal heterogeneity of autistic traits: A systematic review / Richard PENDER in Research in Autism Spectrum Disorders, 79 (November 2020)
[article]
Titre : The longitudinal heterogeneity of autistic traits: A systematic review Type de document : Texte imprimé et/ou numérique Auteurs : Richard PENDER, Auteur ; Richard M. PASCO FEARON, Auteur ; Jon HERON, Auteur ; Will MANDY, Auteur Article en page(s) : 101671 Langues : Anglais (eng) Mots-clés : Autism Autism phenotype Autism spectrum Chronogeneity Developmental trajectories Heterogeneity Latent class growth model Neurodevelopment Index. décimale : PER Périodiques Résumé : Background Previous reviews have characterised the mean stability of autistic traits (ATs) across samples on a single measure. However, no review has yet assessed mean change across a range of measures, or described the longitudinal heterogeneity of ATs, i.e. variation in direction and degree of change. Method A systematic literature review was conducted using PubMed, PsycINFO and EMBASE up to May 31 2020. Forty-four studies meeting inclusion criteria were identified. Results Retrieved studies ranged from N = 20 to N = 9,744. Ages spanned one to 15 years at baseline and two to 23 years at follow-up. The proportion of female participants per study ranged from 0 to 51%. There is some evidence that overall ATs tend to reduce over time for autistic children, reflecting decreases in social communication difficulties but not restricted behaviours. This effect was strongest in clinical samples and using parent-report measures. However, there was good evidence that statistics of mean change obscure between-person differences in within-person change. Decreasing ATs appear linked to higher verbal and non-verbal IQ and female gender in autistic participants. Four patterns of change: increasing, decreasing and stable high and low best characterised the data. Conclusions Individuals experience diverse patterns of change over time. More general population studies are needed to reduce male bias. More work is needed to characterise the relationship between trajectories and well-being, functioning and quality of life outcomes. This will help to understand factors that promote resilience and reduce risk, and therefore to improve the timing and targets of intervention. En ligne : https://doi.org/10.1016/j.rasd.2020.101671 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Research in Autism Spectrum Disorders > 79 (November 2020) . - 101671[article] The longitudinal heterogeneity of autistic traits: A systematic review [Texte imprimé et/ou numérique] / Richard PENDER, Auteur ; Richard M. PASCO FEARON, Auteur ; Jon HERON, Auteur ; Will MANDY, Auteur . - 101671.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 79 (November 2020) . - 101671
Mots-clés : Autism Autism phenotype Autism spectrum Chronogeneity Developmental trajectories Heterogeneity Latent class growth model Neurodevelopment Index. décimale : PER Périodiques Résumé : Background Previous reviews have characterised the mean stability of autistic traits (ATs) across samples on a single measure. However, no review has yet assessed mean change across a range of measures, or described the longitudinal heterogeneity of ATs, i.e. variation in direction and degree of change. Method A systematic literature review was conducted using PubMed, PsycINFO and EMBASE up to May 31 2020. Forty-four studies meeting inclusion criteria were identified. Results Retrieved studies ranged from N = 20 to N = 9,744. Ages spanned one to 15 years at baseline and two to 23 years at follow-up. The proportion of female participants per study ranged from 0 to 51%. There is some evidence that overall ATs tend to reduce over time for autistic children, reflecting decreases in social communication difficulties but not restricted behaviours. This effect was strongest in clinical samples and using parent-report measures. However, there was good evidence that statistics of mean change obscure between-person differences in within-person change. Decreasing ATs appear linked to higher verbal and non-verbal IQ and female gender in autistic participants. Four patterns of change: increasing, decreasing and stable high and low best characterised the data. Conclusions Individuals experience diverse patterns of change over time. More general population studies are needed to reduce male bias. More work is needed to characterise the relationship between trajectories and well-being, functioning and quality of life outcomes. This will help to understand factors that promote resilience and reduce risk, and therefore to improve the timing and targets of intervention. En ligne : https://doi.org/10.1016/j.rasd.2020.101671 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434