Longitudinal development of language and fine motor skills is correlated, but not coupled, in a childhood atypical cohort / Marie K. DESERNO in Autism, 27-1 (January 2023)  

Public ISBD [article]  inAutism > 27-1 (January 2023) . - p.133-144 Titre : Longitudinal development of language and fine motor skills is correlated, but not coupled, in a childhood atypical cohort Type de document : Texte imprimé et/ou numérique Auteurs : Marie K. DESERNO, Auteur ; Delia FUHRMANN, Auteur ; Sander BEGEER, Auteur ; Denny BORSBOOM, Auteur ; Hilde M. GEURTS, Auteur ; Rogier A. KIEVIT, Auteur Article en page(s) : p.133-144 Langues : Anglais (eng) Mots-clés : language development  longitudinal cognitive dynamics  mutualistic coupling  structural equation modeling Index. décimale : PER Périodiques Résumé : Autism is often associated with early developmental delays in language and motor skills. However, little is known about the complex dynamic processes that drive the co-development of such early difficulties. The aim of the present study was to model the parallel growth of language and motor skills in a cohort of infants and to explore differences between infants with typical development and those with atypical development. Receptive and expressive language and fine motor skills were repeatedly assessed in a group of 239 infants (7 months at t1 and 36 months at t4) from the British Autism Study of Infant Siblings sample. Latent Growth Curve Analysis was applied to investigate the mutualistic coupling of longitudinal changes in these domains. Our results showed highly correlated slopes but we did not find an association between baseline scores in one domain and rates of change in the other (i.e. coupling). In the later diagnosed group, we found that scores at baseline and rates of change were more variable. Lay abstract More and more members of the autistic community and the research field are moving away from the idea that there will be a single biological or cognitive explanation for autistic characteristics. However, little is known about the complex dynamic processes that could explain why early difficulties in the language and motor domain often go hand-in-hand. We here study how language and motor skills develop simultaneously in the British Autism Study of Infant Siblings cohort of infants, and compare the way they are linked between children with and without developmental delays. Our results suggest that improvements in one domain go hand-in-hand with improvements in the other in both groups and show no compelling evidence for group differences in how motor skills relate to language and vice versa. We did observe a larger diversity in motor and language skills at 6 months, and because we found the motor and language development to be tightly linked, this suggests that even very small early impairments can result in larger developmental delays in later childhood. Greater variability at baseline, combined with very strong correlations between the slopes, suggests that dynamic processes may amplify small differences between individuals at 6months to result into large individual differences in autism symptomatology at 36 months. En ligne : http://dx.doi.org/10.1177/13623613221086448 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Longitudinal development of language and fine motor skills is correlated, but not coupled, in a childhood atypical cohort [Texte imprimé et/ou numérique] / Marie K. DESERNO, Auteur ; Delia FUHRMANN, Auteur ; Sander BEGEER, Auteur ; Denny BORSBOOM, Auteur ; Hilde M. GEURTS, Auteur ; Rogier A. KIEVIT, Auteur . - p.133-144. Langues : Anglais (eng) in Autism > 27-1 (January 2023) . - p.133-144 Mots-clés : language development  longitudinal cognitive dynamics  mutualistic coupling  structural equation modeling Index. décimale : PER Périodiques Résumé : Autism is often associated with early developmental delays in language and motor skills. However, little is known about the complex dynamic processes that drive the co-development of such early difficulties. The aim of the present study was to model the parallel growth of language and motor skills in a cohort of infants and to explore differences between infants with typical development and those with atypical development. Receptive and expressive language and fine motor skills were repeatedly assessed in a group of 239 infants (7 months at t1 and 36 months at t4) from the British Autism Study of Infant Siblings sample. Latent Growth Curve Analysis was applied to investigate the mutualistic coupling of longitudinal changes in these domains. Our results showed highly correlated slopes but we did not find an association between baseline scores in one domain and rates of change in the other (i.e. coupling). In the later diagnosed group, we found that scores at baseline and rates of change were more variable. Lay abstract More and more members of the autistic community and the research field are moving away from the idea that there will be a single biological or cognitive explanation for autistic characteristics. However, little is known about the complex dynamic processes that could explain why early difficulties in the language and motor domain often go hand-in-hand. We here study how language and motor skills develop simultaneously in the British Autism Study of Infant Siblings cohort of infants, and compare the way they are linked between children with and without developmental delays. Our results suggest that improvements in one domain go hand-in-hand with improvements in the other in both groups and show no compelling evidence for group differences in how motor skills relate to language and vice versa. We did observe a larger diversity in motor and language skills at 6 months, and because we found the motor and language development to be tightly linked, this suggests that even very small early impairments can result in larger developmental delays in later childhood. Greater variability at baseline, combined with very strong correlations between the slopes, suggests that dynamic processes may amplify small differences between individuals at 6months to result into large individual differences in autism symptomatology at 36 months. En ligne : http://dx.doi.org/10.1177/13623613221086448 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Multicausal systems ask for multicausal approaches: A network perspective on subjective well-being in individuals with autism spectrum disorder / Marie K. DESERNO in Autism, 21-8 (November 2017)  

Public ISBD [article]  inAutism > 21-8 (November 2017) . - p.960-971 Titre : Multicausal systems ask for multicausal approaches: A network perspective on subjective well-being in individuals with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Marie K. DESERNO, Auteur ; Denny BORSBOOM, Auteur ; Sander BEGEER, Auteur ; Hilde M. GEURTS, Auteur Année de publication : 2017 Article en page(s) : p.960-971 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Given the heterogeneity of autism spectrum disorder, an important limitation of much autism spectrum disorder research is that outcome measures are statistically modeled as separate dependent variables. Often, their multivariate structure is either ignored or treated as a nuisance. This study aims to lift this limitation by applying network analysis to explicate the multivariate pattern of risk and success factors for subjective well-being in autism spectrum disorder. We estimated a network structure for 27 potential factors in 2341 individuals with autism spectrum disorder to assess the centrality of specific life domains and their importance for well-being. The data included both self- and proxy-reported information. We identified social satisfaction and societal contribution as the strongest direct paths to subjective well-being. The results suggest that an important contribution to well-being lies in resources that allow the individual to engage in social relations, which influence well-being directly. Factors most important in determining the network?s structure include self-reported IQ, living situation, level of daily activity, and happiness. Number of family members with autism spectrum disorder and openness about one?s diagnosis are least important of all factors for subjective well-being. These types of results can serve as a roadmap for interventions directed at improving the well-being of individuals with autism spectrum disorder. En ligne : https://doi.org/10.1177/1362361316660309 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=320 [article] Multicausal systems ask for multicausal approaches: A network perspective on subjective well-being in individuals with autism spectrum disorder [Texte imprimé et/ou numérique] / Marie K. DESERNO, Auteur ; Denny BORSBOOM, Auteur ; Sander BEGEER, Auteur ; Hilde M. GEURTS, Auteur . - 2017 . - p.960-971. Langues : Anglais (eng) in Autism > 21-8 (November 2017) . - p.960-971 Index. décimale : PER Périodiques Résumé : Given the heterogeneity of autism spectrum disorder, an important limitation of much autism spectrum disorder research is that outcome measures are statistically modeled as separate dependent variables. Often, their multivariate structure is either ignored or treated as a nuisance. This study aims to lift this limitation by applying network analysis to explicate the multivariate pattern of risk and success factors for subjective well-being in autism spectrum disorder. We estimated a network structure for 27 potential factors in 2341 individuals with autism spectrum disorder to assess the centrality of specific life domains and their importance for well-being. The data included both self- and proxy-reported information. We identified social satisfaction and societal contribution as the strongest direct paths to subjective well-being. The results suggest that an important contribution to well-being lies in resources that allow the individual to engage in social relations, which influence well-being directly. Factors most important in determining the network?s structure include self-reported IQ, living situation, level of daily activity, and happiness. Number of family members with autism spectrum disorder and openness about one?s diagnosis are least important of all factors for subjective well-being. These types of results can serve as a roadmap for interventions directed at improving the well-being of individuals with autism spectrum disorder. En ligne : https://doi.org/10.1177/1362361316660309 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=320

Repetitive Behaviors in Autism and Obsessive–Compulsive Disorder: New Perspectives from a Network Analysis / Laura RUZZANO in Journal of Autism and Developmental Disorders, 45-1 (January 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-1 (January 2015) . - p.192-202 Titre : Repetitive Behaviors in Autism and Obsessive–Compulsive Disorder: New Perspectives from a Network Analysis Type de document : Texte imprimé et/ou numérique Auteurs : Laura RUZZANO, Auteur ; Denny BORSBOOM, Auteur ; Hilde M. GEURTS, Auteur Article en page(s) : p.192-202 Langues : Anglais (eng) Mots-clés : Autism  Obsessive–compulsive disorder  OCD  Repetitive behaviors  Network analysis Index. décimale : PER Périodiques Résumé : The association between autism and obsessive–compulsive disorder (OCD) seems largely dependent upon observed similarities in the repetitive behaviors that manifest in both disorders. The aim of this study was to use a network approach to explore the interactions between these behaviors. We constructed a network based on clinician’s perceptions as well as a network based on 213 clinically diagnosed children. In all networks, autism and OCD emerged as two distinct symptom clusters and obsessions and compulsions showed few direct associations with autism symptoms. Further, sensory interests were identified as behaviors that may contribute to the link between autism and OCD. Through network analysis, we expose the symptom pathways that may lead to the perceived association between autism and OCD. En ligne : http://dx.doi.org/10.1007/s10803-014-2204-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=258 [article] Repetitive Behaviors in Autism and Obsessive–Compulsive Disorder: New Perspectives from a Network Analysis [Texte imprimé et/ou numérique] / Laura RUZZANO, Auteur ; Denny BORSBOOM, Auteur ; Hilde M. GEURTS, Auteur . - p.192-202. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-1 (January 2015) . - p.192-202 Mots-clés : Autism  Obsessive–compulsive disorder  OCD  Repetitive behaviors  Network analysis Index. décimale : PER Périodiques Résumé : The association between autism and obsessive–compulsive disorder (OCD) seems largely dependent upon observed similarities in the repetitive behaviors that manifest in both disorders. The aim of this study was to use a network approach to explore the interactions between these behaviors. We constructed a network based on clinician’s perceptions as well as a network based on 213 clinically diagnosed children. In all networks, autism and OCD emerged as two distinct symptom clusters and obsessions and compulsions showed few direct associations with autism symptoms. Further, sensory interests were identified as behaviors that may contribute to the link between autism and OCD. Through network analysis, we expose the symptom pathways that may lead to the perceived association between autism and OCD. En ligne : http://dx.doi.org/10.1007/s10803-014-2204-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=258

Sleep determines quality of life in autistic adults: A longitudinal study / Marie K. DESERNO in Autism Research, 12-5 (May 2019)  

Public ISBD [article]  inAutism Research > 12-5 (May 2019) . - p.794-801 Titre : Sleep determines quality of life in autistic adults: A longitudinal study Type de document : Texte imprimé et/ou numérique Auteurs : Marie K. DESERNO, Auteur ; Denny BORSBOOM, Auteur ; Sander BEGEER, Auteur ; Joost A. AGELINK VAN RENTERGEM, Auteur ; K. MATAW, Auteur ; H. M. GEURTS, Auteur Article en page(s) : p.794-801 Langues : Anglais (eng) Mots-clés : autistic adults  large-scale longitudinal data  quality of life  regression tree analysis  sleep problems Index. décimale : PER Périodiques Résumé : Many individuals with autism report generally low quality of life (QoL). Identifying predictors for pathways underlying this outcome is an urgent priority. We aim to examine multivariate patterns that predict later subjective and objective QoL in autistic individuals. Autistic characteristics, comorbid complaints, aspects of daily functioning, and demographics were assessed online in a 2-year longitudinal study with 598 autistic adults. Regression trees were fitted to baseline data to identify factors that could predict QoL at follow-up. We found that sleep problems are an important predictor of later subjective QoL, while the subjective experience of a person's societal contribution is important when it comes to predicting the level of daily activities. Sleep problems are the most important predictor of QoL in autistic adults and may offer an important treatment target for improving QoL. Our results additionally suggest that social satisfaction can buffer this association. Autism Research 2019, 12: 794-801. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Many individuals with autism report generally low quality of life (QoL). In this study, we looked at factors that predict long-term QoL and found that sleep problems are highly influential. Our results additionally suggest that social satisfaction can buffer this influence. These findings suggest that sleep and social satisfaction could be monitored to increase QoL in autistic adults. En ligne : http://dx.doi.org/10.1002/aur.2103 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=397 [article] Sleep determines quality of life in autistic adults: A longitudinal study [Texte imprimé et/ou numérique] / Marie K. DESERNO, Auteur ; Denny BORSBOOM, Auteur ; Sander BEGEER, Auteur ; Joost A. AGELINK VAN RENTERGEM, Auteur ; K. MATAW, Auteur ; H. M. GEURTS, Auteur . - p.794-801. Langues : Anglais (eng) in Autism Research > 12-5 (May 2019) . - p.794-801 Mots-clés : autistic adults  large-scale longitudinal data  quality of life  regression tree analysis  sleep problems Index. décimale : PER Périodiques Résumé : Many individuals with autism report generally low quality of life (QoL). Identifying predictors for pathways underlying this outcome is an urgent priority. We aim to examine multivariate patterns that predict later subjective and objective QoL in autistic individuals. Autistic characteristics, comorbid complaints, aspects of daily functioning, and demographics were assessed online in a 2-year longitudinal study with 598 autistic adults. Regression trees were fitted to baseline data to identify factors that could predict QoL at follow-up. We found that sleep problems are an important predictor of later subjective QoL, while the subjective experience of a person's societal contribution is important when it comes to predicting the level of daily activities. Sleep problems are the most important predictor of QoL in autistic adults and may offer an important treatment target for improving QoL. Our results additionally suggest that social satisfaction can buffer this association. Autism Research 2019, 12: 794-801. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Many individuals with autism report generally low quality of life (QoL). In this study, we looked at factors that predict long-term QoL and found that sleep problems are highly influential. Our results additionally suggest that social satisfaction can buffer this influence. These findings suggest that sleep and social satisfaction could be monitored to increase QoL in autistic adults. En ligne : http://dx.doi.org/10.1002/aur.2103 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=397

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