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Auteur Anne MASI |
Documents disponibles écrits par cet auteur (9)



Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank / Chloe X. YAP in Molecular Autism, 12 (2021)
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Titre : Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank Type de document : Texte imprimé et/ou numérique Auteurs : Chloe X. YAP, Auteur ; Gail A. ALVARES, Auteur ; Anjali K. HENDERS, Auteur ; Tian LIN, Auteur ; Leanne WALLACE, Auteur ; Alaina FARRELLY, Auteur ; Tiana MCLAREN, Auteur ; Jolene BERRY, Auteur ; Anna A. E. VINKHUYZEN, Auteur ; Maciej TRZASKOWSKI, Auteur ; Jian ZENG, Auteur ; Yuanhao YANG, Auteur ; Dominique CLEARY, Auteur ; Rachel GROVE, Auteur ; Claire HAFEKOST, Auteur ; Alexis HARUN, Auteur ; Helen HOLDSWORTH, Auteur ; Rachel JELLETT, Auteur ; Feroza KHAN, Auteur ; Lauren LAWSON, Auteur ; Jodie LESLIE, Auteur ; Mira LEVIS FRENK, Auteur ; Anne MASI, Auteur ; Nisha E. MATHEW, Auteur ; Melanie MUNIANDY, Auteur ; Michaela NOTHARD, Auteur ; Peter M. VISSCHER, Auteur ; Paul A. DAWSON, Auteur ; Cheryl DISSANAYAKE, Auteur ; Valsamma EAPEN, Auteur ; Helen S. HEUSSLER, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Naomi R. WRAY, Auteur ; Jacob GRATTEN, Auteur Article en page(s) : 12p. Langues : Anglais (eng) Mots-clés : Australian autism biobank Autism spectrum disorder Copy number variation Genetics Polygenic score Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition whose biological basis is yet to be elucidated. The Australian Autism Biobank (AAB) is an initiative of the Cooperative Research Centre for Living with Autism (Autism CRC) to establish an Australian resource of biospecimens, phenotypes and genomic data for research on autism. METHODS: Genome-wide single-nucleotide polymorphism genotypes were available for 2,477 individuals (after quality control) from 546 families (436 complete), including 886 participants aged 2 to 17 years with diagnosed (n?=?871) or suspected (n?=?15) ASD, 218 siblings without ASD, 1,256 parents, and 117 unrelated children without an ASD diagnosis. The genetic data were used to confirm familial relationships and assign ancestry, which was majority European (n?=?1,964 European individuals). We generated polygenic scores (PGS) for ASD, IQ, chronotype and height in the subset of Europeans, and in 3,490 unrelated ancestry-matched participants from the UK Biobank. We tested for group differences for each PGS, and performed prediction analyses for related phenotypes in the AAB. We called copy-number variants (CNVs) in all participants, and intersected these with high-confidence ASD- and intellectual disability (ID)-associated CNVs and genes from the public domain. RESULTS: The ASD (p?=?6.1e-13), sibling (p?=?4.9e-3) and unrelated (p?=?3.0e-3) groups had significantly higher ASD PGS than UK Biobank controls, whereas this was not the case for height-a control trait. The IQ PGS was a significant predictor of measured IQ in undiagnosed children (r?=?0.24, p?=?2.1e-3) and parents (r?=?0.17, p?=?8.0e-7; 4.0% of variance), but not the ASD group. Chronotype PGS predicted sleep disturbances within the ASD group (r?=?0.13, p?=?1.9e-3; 1.3% of variance). In the CNV analysis, we identified 13 individuals with CNVs overlapping ASD/ID-associated CNVs, and 12 with CNVs overlapping ASD/ID/developmental delay-associated genes identified on the basis of de novo variants. LIMITATIONS: This dataset is modest in size, and the publicly-available genome-wide-association-study (GWAS) summary statistics used to calculate PGS for ASD and other traits are relatively underpowered. CONCLUSIONS: We report on common genetic variation and rare CNVs within the AAB. Prediction analyses using currently available GWAS summary statistics are largely consistent with expected relationships based on published studies. As the size of publicly-available GWAS summary statistics grows, the phenotypic depth of the AAB dataset will provide many opportunities for analyses of autism profiles and co-occurring conditions, including when integrated with other omics datasets generated from AAB biospecimens (blood, urine, stool, hair). En ligne : http://dx.doi.org/10.1186/s13229-020-00407-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442
in Molecular Autism > 12 (2021) . - 12p.[article] Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank [Texte imprimé et/ou numérique] / Chloe X. YAP, Auteur ; Gail A. ALVARES, Auteur ; Anjali K. HENDERS, Auteur ; Tian LIN, Auteur ; Leanne WALLACE, Auteur ; Alaina FARRELLY, Auteur ; Tiana MCLAREN, Auteur ; Jolene BERRY, Auteur ; Anna A. E. VINKHUYZEN, Auteur ; Maciej TRZASKOWSKI, Auteur ; Jian ZENG, Auteur ; Yuanhao YANG, Auteur ; Dominique CLEARY, Auteur ; Rachel GROVE, Auteur ; Claire HAFEKOST, Auteur ; Alexis HARUN, Auteur ; Helen HOLDSWORTH, Auteur ; Rachel JELLETT, Auteur ; Feroza KHAN, Auteur ; Lauren LAWSON, Auteur ; Jodie LESLIE, Auteur ; Mira LEVIS FRENK, Auteur ; Anne MASI, Auteur ; Nisha E. MATHEW, Auteur ; Melanie MUNIANDY, Auteur ; Michaela NOTHARD, Auteur ; Peter M. VISSCHER, Auteur ; Paul A. DAWSON, Auteur ; Cheryl DISSANAYAKE, Auteur ; Valsamma EAPEN, Auteur ; Helen S. HEUSSLER, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Naomi R. WRAY, Auteur ; Jacob GRATTEN, Auteur . - 12p.
Langues : Anglais (eng)
in Molecular Autism > 12 (2021) . - 12p.
Mots-clés : Australian autism biobank Autism spectrum disorder Copy number variation Genetics Polygenic score Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition whose biological basis is yet to be elucidated. The Australian Autism Biobank (AAB) is an initiative of the Cooperative Research Centre for Living with Autism (Autism CRC) to establish an Australian resource of biospecimens, phenotypes and genomic data for research on autism. METHODS: Genome-wide single-nucleotide polymorphism genotypes were available for 2,477 individuals (after quality control) from 546 families (436 complete), including 886 participants aged 2 to 17 years with diagnosed (n?=?871) or suspected (n?=?15) ASD, 218 siblings without ASD, 1,256 parents, and 117 unrelated children without an ASD diagnosis. The genetic data were used to confirm familial relationships and assign ancestry, which was majority European (n?=?1,964 European individuals). We generated polygenic scores (PGS) for ASD, IQ, chronotype and height in the subset of Europeans, and in 3,490 unrelated ancestry-matched participants from the UK Biobank. We tested for group differences for each PGS, and performed prediction analyses for related phenotypes in the AAB. We called copy-number variants (CNVs) in all participants, and intersected these with high-confidence ASD- and intellectual disability (ID)-associated CNVs and genes from the public domain. RESULTS: The ASD (p?=?6.1e-13), sibling (p?=?4.9e-3) and unrelated (p?=?3.0e-3) groups had significantly higher ASD PGS than UK Biobank controls, whereas this was not the case for height-a control trait. The IQ PGS was a significant predictor of measured IQ in undiagnosed children (r?=?0.24, p?=?2.1e-3) and parents (r?=?0.17, p?=?8.0e-7; 4.0% of variance), but not the ASD group. Chronotype PGS predicted sleep disturbances within the ASD group (r?=?0.13, p?=?1.9e-3; 1.3% of variance). In the CNV analysis, we identified 13 individuals with CNVs overlapping ASD/ID-associated CNVs, and 12 with CNVs overlapping ASD/ID/developmental delay-associated genes identified on the basis of de novo variants. LIMITATIONS: This dataset is modest in size, and the publicly-available genome-wide-association-study (GWAS) summary statistics used to calculate PGS for ASD and other traits are relatively underpowered. CONCLUSIONS: We report on common genetic variation and rare CNVs within the AAB. Prediction analyses using currently available GWAS summary statistics are largely consistent with expected relationships based on published studies. As the size of publicly-available GWAS summary statistics grows, the phenotypic depth of the AAB dataset will provide many opportunities for analyses of autism profiles and co-occurring conditions, including when integrated with other omics datasets generated from AAB biospecimens (blood, urine, stool, hair). En ligne : http://dx.doi.org/10.1186/s13229-020-00407-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442 Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum / Anne MASI in Autism Research, 15-7 (July 2022)
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Titre : Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum Type de document : Texte imprimé et/ou numérique Auteurs : Anne MASI, Auteur ; Mohammod Ali MONI, Auteur ; Syeda Ishra AZIM, Auteur ; Byungkuk CHOI, Auteur ; Helen S. HEUSSLER, Auteur ; Ping-I LIN, Auteur ; Antonio Mendoza DIAZ, Auteur ; Valsamma EAPEN, Auteur Article en page(s) : p.1274-1287 Langues : Anglais (eng) Mots-clés : autism spectrum disorder behavioral problems children clinical phenotypes sleep disorders Index. décimale : PER Périodiques Résumé : Sleep disorders are a common comorbid condition in children diagnosed with autism spectrum disorder ("autism"). However, the relationship between the clinical features of autism and sleep disorders remains unclear. A better understanding of the inherent autism-related characteristics linked to comorbid sleep disorders would improve comprehensive assessment and management. This study examined the relationship between sociodemographics, autism symptoms, sleep problems, cognitive status, behavioral attributes, and sensory profiles. Using data from 1268 participants who took part in the Australian Autism Biobank, sleep-related measurements using the Child Sleep Habits Questionnaire (CSHQ) were compared between autistic children aged 2 to 17 (N =?969), their siblings (N =?188), and unrelated children without an autism diagnosis (N =?111). The known relationship between sleep problems and autism was further explored by including scores from the Autism Diagnostic Observation Schedule-2, Mullen Scales of Early Learning, Vineland Adaptive Behavioral Scale-II and the Short Sensory Profile-2; which were included in analyses for autistic participants who had a completed CSHQ. Multiple regression models were used to identify clinical/behavioral variables associated with CSHQ subscales. The autism group had a significantly higher total CSHQ score than the sibling and comparison groups (p 0.001), indicating worse sleep quality. Within the autism group, lower adaptive behaviors (i.e., VABS-II) and sensory issues (i.e., SSP-2 subclass scores) were positively associated with the severity of sleep problems (i.e., the CSHQ subclass scores) (p 0.001). The significant functional impact of poor sleep on autistic children warrants an assessment of sleep as a critical part of a holistic approach to supporting autistic children and their families. LAY SUMMARY: Autistic children generally have co-occurring conditions. Sleep disorders impact approximately 50%-80% of autistic children. The impact on the quality of life for both the children and their families can be significant. This study compares sleep problems in autistic children and adolescents with their siblings and children without a diagnosis of autism, and investigates the relationship between specific autistic traits, daily life behaviors and sleep problems. The findings highlight the importance of a holistic assessment for autistic children and matching appropriate sleep intervention and supports where indicated. En ligne : http://dx.doi.org/10.1002/aur.2745 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Autism Research > 15-7 (July 2022) . - p.1274-1287[article] Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum [Texte imprimé et/ou numérique] / Anne MASI, Auteur ; Mohammod Ali MONI, Auteur ; Syeda Ishra AZIM, Auteur ; Byungkuk CHOI, Auteur ; Helen S. HEUSSLER, Auteur ; Ping-I LIN, Auteur ; Antonio Mendoza DIAZ, Auteur ; Valsamma EAPEN, Auteur . - p.1274-1287.
Langues : Anglais (eng)
in Autism Research > 15-7 (July 2022) . - p.1274-1287
Mots-clés : autism spectrum disorder behavioral problems children clinical phenotypes sleep disorders Index. décimale : PER Périodiques Résumé : Sleep disorders are a common comorbid condition in children diagnosed with autism spectrum disorder ("autism"). However, the relationship between the clinical features of autism and sleep disorders remains unclear. A better understanding of the inherent autism-related characteristics linked to comorbid sleep disorders would improve comprehensive assessment and management. This study examined the relationship between sociodemographics, autism symptoms, sleep problems, cognitive status, behavioral attributes, and sensory profiles. Using data from 1268 participants who took part in the Australian Autism Biobank, sleep-related measurements using the Child Sleep Habits Questionnaire (CSHQ) were compared between autistic children aged 2 to 17 (N =?969), their siblings (N =?188), and unrelated children without an autism diagnosis (N =?111). The known relationship between sleep problems and autism was further explored by including scores from the Autism Diagnostic Observation Schedule-2, Mullen Scales of Early Learning, Vineland Adaptive Behavioral Scale-II and the Short Sensory Profile-2; which were included in analyses for autistic participants who had a completed CSHQ. Multiple regression models were used to identify clinical/behavioral variables associated with CSHQ subscales. The autism group had a significantly higher total CSHQ score than the sibling and comparison groups (p 0.001), indicating worse sleep quality. Within the autism group, lower adaptive behaviors (i.e., VABS-II) and sensory issues (i.e., SSP-2 subclass scores) were positively associated with the severity of sleep problems (i.e., the CSHQ subclass scores) (p 0.001). The significant functional impact of poor sleep on autistic children warrants an assessment of sleep as a critical part of a holistic approach to supporting autistic children and their families. LAY SUMMARY: Autistic children generally have co-occurring conditions. Sleep disorders impact approximately 50%-80% of autistic children. The impact on the quality of life for both the children and their families can be significant. This study compares sleep problems in autistic children and adolescents with their siblings and children without a diagnosis of autism, and investigates the relationship between specific autistic traits, daily life behaviors and sleep problems. The findings highlight the importance of a holistic assessment for autistic children and matching appropriate sleep intervention and supports where indicated. En ligne : http://dx.doi.org/10.1002/aur.2745 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder / David TREMBATH in Journal of Autism and Developmental Disorders, 51-2 (February 2021)
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Titre : Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : David TREMBATH, Auteur ; Rebecca SUTHERLAND, Auteur ; Teena CAITHNESS, Auteur ; Cheryl DISSANAYAKE, Auteur ; Valsamma EAPEN, Auteur ; Kathryn FORDYCE, Auteur ; Grace FROST, Auteur ; Teresa IACONO, Auteur ; Nicole MAHLER, Auteur ; Anne MASI, Auteur ; Jessica PAYNTER, Auteur ; Katherine PYE, Auteur ; Sheena REILLY, Auteur ; Veronica ROSE, Auteur ; Stephanie SIEVERS, Auteur ; Abirami THIRUMANICKAM, Auteur ; Marleen F. WESTERVELD, Auteur ; Madonna TUCKER, Auteur Article en page(s) : p.564-575 Langues : Anglais (eng) Mots-clés : Autism Communication Minimally verbal Predictor Speech pathology Index. décimale : PER Périodiques Résumé : Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights into prelinguistic vocal behaviours. The participants suggested the potential value of dynamic assessment in predicting spoken language outcomes. The findings can inform efforts to developing clinically relevant methods for predicting children's communication outcomes. En ligne : http://dx.doi.org/10.1007/s10803-020-04550-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440
in Journal of Autism and Developmental Disorders > 51-2 (February 2021) . - p.564-575[article] Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / David TREMBATH, Auteur ; Rebecca SUTHERLAND, Auteur ; Teena CAITHNESS, Auteur ; Cheryl DISSANAYAKE, Auteur ; Valsamma EAPEN, Auteur ; Kathryn FORDYCE, Auteur ; Grace FROST, Auteur ; Teresa IACONO, Auteur ; Nicole MAHLER, Auteur ; Anne MASI, Auteur ; Jessica PAYNTER, Auteur ; Katherine PYE, Auteur ; Sheena REILLY, Auteur ; Veronica ROSE, Auteur ; Stephanie SIEVERS, Auteur ; Abirami THIRUMANICKAM, Auteur ; Marleen F. WESTERVELD, Auteur ; Madonna TUCKER, Auteur . - p.564-575.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-2 (February 2021) . - p.564-575
Mots-clés : Autism Communication Minimally verbal Predictor Speech pathology Index. décimale : PER Périodiques Résumé : Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights into prelinguistic vocal behaviours. The participants suggested the potential value of dynamic assessment in predicting spoken language outcomes. The findings can inform efforts to developing clinically relevant methods for predicting children's communication outcomes. En ligne : http://dx.doi.org/10.1007/s10803-020-04550-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=440 Correction to: Spoken Language Change in Children on the Autism Spectrum Receiving Community-Based Interventions / David TREMBATH ; Matt Stainer ; Teena CAITHNESS ; Cheryl DISSANAYAKE ; Valsamma EAPEN ; Kathryn FORDYCE ; Veronica FREWER ; Grace FROST ; Kristelle HUDRY ; Teresa IACONO ; Nicole MAHLER ; Anne MASI ; Jessica PAYNTER ; Katherine PYE ; Shannon Quan ; Leanne Shellshear ; Rebecca SUTHERLAND ; Stephanie SIEVERS ; Abirami THIRUMANICKAM ; Marleen F. WESTERVELD ; Madonna TUCKER in Journal of Autism and Developmental Disorders, 53-6 (June 2023)
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Titre : Correction to: Spoken Language Change in Children on the Autism Spectrum Receiving Community-Based Interventions : Journal of Autism and Developmental Disorders Type de document : Texte imprimé et/ou numérique Auteurs : David TREMBATH, Auteur ; Matt Stainer, Auteur ; Teena CAITHNESS, Auteur ; Cheryl DISSANAYAKE, Auteur ; Valsamma EAPEN, Auteur ; Kathryn FORDYCE, Auteur ; Veronica FREWER, Auteur ; Grace FROST, Auteur ; Kristelle HUDRY, Auteur ; Teresa IACONO, Auteur ; Nicole MAHLER, Auteur ; Anne MASI, Auteur ; Jessica PAYNTER, Auteur ; Katherine PYE, Auteur ; Shannon Quan, Auteur ; Leanne Shellshear, Auteur ; Rebecca SUTHERLAND, Auteur ; Stephanie SIEVERS, Auteur ; Abirami THIRUMANICKAM, Auteur ; Marleen F. WESTERVELD, Auteur ; Madonna TUCKER, Auteur Article en page(s) : p.2548-2548 Langues : Anglais (eng) Index. décimale : PER Périodiques En ligne : https://doi.org/10.1007/s10803-022-05633-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=506
in Journal of Autism and Developmental Disorders > 53-6 (June 2023) . - p.2548-2548[article] Correction to: Spoken Language Change in Children on the Autism Spectrum Receiving Community-Based Interventions : Journal of Autism and Developmental Disorders [Texte imprimé et/ou numérique] / David TREMBATH, Auteur ; Matt Stainer, Auteur ; Teena CAITHNESS, Auteur ; Cheryl DISSANAYAKE, Auteur ; Valsamma EAPEN, Auteur ; Kathryn FORDYCE, Auteur ; Veronica FREWER, Auteur ; Grace FROST, Auteur ; Kristelle HUDRY, Auteur ; Teresa IACONO, Auteur ; Nicole MAHLER, Auteur ; Anne MASI, Auteur ; Jessica PAYNTER, Auteur ; Katherine PYE, Auteur ; Shannon Quan, Auteur ; Leanne Shellshear, Auteur ; Rebecca SUTHERLAND, Auteur ; Stephanie SIEVERS, Auteur ; Abirami THIRUMANICKAM, Auteur ; Marleen F. WESTERVELD, Auteur ; Madonna TUCKER, Auteur . - p.2548-2548.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 53-6 (June 2023) . - p.2548-2548
Index. décimale : PER Périodiques En ligne : https://doi.org/10.1007/s10803-022-05633-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=506 Dietary intake in children on the autism spectrum is altered and linked to differences in autistic traits and sensory processing styles / Nisha E. MATHEW in Autism Research, 15-10 (October 2022)
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Titre : Dietary intake in children on the autism spectrum is altered and linked to differences in autistic traits and sensory processing styles Type de document : Texte imprimé et/ou numérique Auteurs : Nisha E. MATHEW, Auteur ; Kylie-Ann MALLITT, Auteur ; Anne MASI, Auteur ; Tamarah KATZ, Auteur ; Adam K. WALKER, Auteur ; Margaret J. MORRIS, Auteur ; Chee Y. OOI, Auteur Article en page(s) : p.1824-1839 Langues : Anglais (eng) Mots-clés : adolescents autism children diet intake diet quality eating sensory processing Index. décimale : PER Périodiques Résumé : Diets of children and adolescents on the autism spectrum often differ when compared to their non-autistic peers. Most dietary studies have been limited by small sample sizes and rarely assess the heterogeneity of autism. Addressing this gap, this study compared the anthropometrics, dietary composition, dietary quality, and food variety of 154 Australian children and adolescents on the spectrum and 213 non-autistic children (71 siblings and 142 unrelated controls). Beyond the case-control approach, within-group comparisons assessed the influence of autism clinical presentations and sensory processing styles on body mass index (BMI) and measures of dietary intake among those on the spectrum. In this word first study of diet that included between-group comparisons with non-autistic peers (siblings and an unrelated comparison group) and within-autism group comparisons, we found that children on the spectrum consumed limited variety and lower quality of food and non-autistic siblings also ate comparably higher levels of energy-dense, nutrient poor food, and less diary. This may be due to autistic traits influencing family's diets or shared sensory sensitivities driving dietary intake. Within the autism group, higher autistic traits were associated with lower BMIs and a specific dietary pattern higher in simple carbohydrates and lower in unprocessed protein. Contrastingly, greater sensitivity to sensory stimuli was associated with a healthier diet. Increased age was linked to more varied diets but also diets higher in saturated fats and energy-dense, nutrient poor foods. Overall, this research highlights that potential mediators of dietary intake, such as familial influences, autistic traits, sensory processing styles, age and sex, need to be considered when assessing diet in the autistic population. LAY SUMMARY: In this study of dietary differences linked to autism, children, and teenagers on the spectrum ate fewer different foods and were less likely to eat recommended amounts of fruits and vegetables when compared to non-autistic siblings and unrelated children and teenagers. There were also family differences, in that those on the spectrum and their siblings ate more unhealthy foods and less dairy. Among those on the spectrum, dietary differences were linked to age, sex, autistic traits and sensory processing styles. En ligne : http://dx.doi.org/10.1002/aur.2798 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488
in Autism Research > 15-10 (October 2022) . - p.1824-1839[article] Dietary intake in children on the autism spectrum is altered and linked to differences in autistic traits and sensory processing styles [Texte imprimé et/ou numérique] / Nisha E. MATHEW, Auteur ; Kylie-Ann MALLITT, Auteur ; Anne MASI, Auteur ; Tamarah KATZ, Auteur ; Adam K. WALKER, Auteur ; Margaret J. MORRIS, Auteur ; Chee Y. OOI, Auteur . - p.1824-1839.
Langues : Anglais (eng)
in Autism Research > 15-10 (October 2022) . - p.1824-1839
Mots-clés : adolescents autism children diet intake diet quality eating sensory processing Index. décimale : PER Périodiques Résumé : Diets of children and adolescents on the autism spectrum often differ when compared to their non-autistic peers. Most dietary studies have been limited by small sample sizes and rarely assess the heterogeneity of autism. Addressing this gap, this study compared the anthropometrics, dietary composition, dietary quality, and food variety of 154 Australian children and adolescents on the spectrum and 213 non-autistic children (71 siblings and 142 unrelated controls). Beyond the case-control approach, within-group comparisons assessed the influence of autism clinical presentations and sensory processing styles on body mass index (BMI) and measures of dietary intake among those on the spectrum. In this word first study of diet that included between-group comparisons with non-autistic peers (siblings and an unrelated comparison group) and within-autism group comparisons, we found that children on the spectrum consumed limited variety and lower quality of food and non-autistic siblings also ate comparably higher levels of energy-dense, nutrient poor food, and less diary. This may be due to autistic traits influencing family's diets or shared sensory sensitivities driving dietary intake. Within the autism group, higher autistic traits were associated with lower BMIs and a specific dietary pattern higher in simple carbohydrates and lower in unprocessed protein. Contrastingly, greater sensitivity to sensory stimuli was associated with a healthier diet. Increased age was linked to more varied diets but also diets higher in saturated fats and energy-dense, nutrient poor foods. Overall, this research highlights that potential mediators of dietary intake, such as familial influences, autistic traits, sensory processing styles, age and sex, need to be considered when assessing diet in the autistic population. LAY SUMMARY: In this study of dietary differences linked to autism, children, and teenagers on the spectrum ate fewer different foods and were less likely to eat recommended amounts of fruits and vegetables when compared to non-autistic siblings and unrelated children and teenagers. There were also family differences, in that those on the spectrum and their siblings ate more unhealthy foods and less dairy. Among those on the spectrum, dietary differences were linked to age, sex, autistic traits and sensory processing styles. En ligne : http://dx.doi.org/10.1002/aur.2798 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 Factors Impacting Parental Quality of Life in Preschool Children on the Autism Spectrum / Valsamma EAPEN in Journal of Autism and Developmental Disorders, 54-3 (March 2024)
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PermalinkPatterns of sensory modulation by age and sex in young people on the autism spectrum / Alison E. LANE in Autism Research, 15-10 (October 2022)
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PermalinkSpoken Language Change in Children on the Autism Spectrum Receiving Community-Based Interventions / David TREMBATH ; Matt Stainer ; Teena CAITHNESS ; Cheryl DISSANAYAKE ; Valsamma EAPEN ; Kathryn FORDYCE ; Veronica FREWER ; Grace FROST ; Kristelle HUDRY ; Teresa IACONO ; Nicole MAHLER ; Anne MASI ; Jessica PAYNTER ; Katherine PYE ; Shannon Quan ; Leanne Shellshear ; Rebecca SUTHERLAND ; Stephanie SIEVERS ; Abirami THIRUMANICKAM ; Marleen F. WESTERVELD ; Madonna TUCKER in Journal of Autism and Developmental Disorders, 53-6 (June 2023)
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PermalinkThe search for gastrointestinal inflammation in autism: a systematic review and meta-analysis of non-invasive gastrointestinal markers / Nisha E. MATHEW in Molecular Autism, 15 (2024)
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