Promoting emotional and behavioral interventions in ASD treatment: evidence from EPIGRAM, a naturalistic, prospective and longitudinal study
Promoting emotional and behavioral interventions in ASD treatment: evidence from EPIGRAM, a naturalistic, prospective and longitudinal study
Background: prognostic factors from naturalistic treatment studies of Autism Spectrum Disorder (ASD) for children remain largely unknown. We aimed to identify baseline and treatment-related prognostic predictors at 1-year follow-up after Integrative Care Practices (ICP).
Methods: eighty-nine autistic children (3-6 years) with associated cognitive impairment were given ICP combining nine therapeutic workshops based on children’s needs. Participants were assessed at baseline and during 12 months follow-up with the Psycho-educational Profile-3-R, Children Autism Rating Scale, parent global impression (PAR), and the Autistic Behaviors Scale. We assessed prognostic predictors using multivariable regression models and explored treatment ingredients influencing outcome using Classification and Regression Trees (CART).
Results: multivariable models showed that being a child from first generation immigrant parents predicted worse maladaptive behaviors, whereas play activities had an opposite effect; severity of ASD and impaired cognitive functions predicted worse autism severity; and lower play activities predicted worse PAR. More emotion/behavioral interventions predicted better outcomes and more communication interventions predicted lower autism severity, whereas more education and cognitive interventions had an opposite effect. CART confirmed that more interventions in the emotion/behavior domain helped classifying cases with better outcomes. More parental support was associated with decreased maladaptive behaviors. Sensorimotor and education interventions also significantly contributed to classify cases according to outcomes but defined subgroups with opposite prognosis.
Conclusion: children who exhibited the best prognosis following ICP had less autism severity, better cognition at baseline and non-migrant parents. Emotion/behavior interventions appeared key across all outcomes and should be promoted.
Autism; integrative care; predictive factors; access to care; machine learning
Bettencourt, Carlotta
52bf93a9-9793-4631-8886-460b25a0194a
Garret-Gloanec, Nicole
43aa51a8-5be6-4ffd-8731-cb588ec163bd
Pellerin, Hugues
a6b2e64e-f478-4c98-bc2c-9ad2f83c4e2b
Péré, PereMorgane
8d199b5d-32fd-445e-a36c-ba17ab78585e
Bertamini, Giulio
a5772622-b991-42b8-9792-2abf84f25eff
Squillante, Maria
3de7db4a-6a9c-4736-a2d8-c4fcc1781ac2
Roos-Weil, Fabienne
887c7583-8487-4db4-9735-a99276444620
Ferrand, Léa
d31bd4f0-3840-4ea3-a381-f426fe108f83
Pernel, Anne-Sophie
e78572aa-dda0-4f0b-9ece-cae3cc260821
Apter, Gisèle
dc256ab4-2b08-4236-8721-3eb69733e83c
Chetouani, Mohamed
efc6fefe-0fd5-4642-b1f2-a47ef632a7ed
Cortese, Samuele
53d4bf2c-4e0e-4c77-9385-218350560fdb
Cohen, David
8bd9a96d-519b-463a-a69f-8883fd3acbdb
2 March 2024
Bettencourt, Carlotta
52bf93a9-9793-4631-8886-460b25a0194a
Garret-Gloanec, Nicole
43aa51a8-5be6-4ffd-8731-cb588ec163bd
Pellerin, Hugues
a6b2e64e-f478-4c98-bc2c-9ad2f83c4e2b
Péré, PereMorgane
8d199b5d-32fd-445e-a36c-ba17ab78585e
Bertamini, Giulio
a5772622-b991-42b8-9792-2abf84f25eff
Squillante, Maria
3de7db4a-6a9c-4736-a2d8-c4fcc1781ac2
Roos-Weil, Fabienne
887c7583-8487-4db4-9735-a99276444620
Ferrand, Léa
d31bd4f0-3840-4ea3-a381-f426fe108f83
Pernel, Anne-Sophie
e78572aa-dda0-4f0b-9ece-cae3cc260821
Apter, Gisèle
dc256ab4-2b08-4236-8721-3eb69733e83c
Chetouani, Mohamed
efc6fefe-0fd5-4642-b1f2-a47ef632a7ed
Cortese, Samuele
53d4bf2c-4e0e-4c77-9385-218350560fdb
Cohen, David
8bd9a96d-519b-463a-a69f-8883fd3acbdb
Bettencourt, Carlotta, Garret-Gloanec, Nicole, Pellerin, Hugues, Péré, PereMorgane, Bertamini, Giulio, Squillante, Maria, Roos-Weil, Fabienne, Ferrand, Léa, Pernel, Anne-Sophie, Apter, Gisèle, Chetouani, Mohamed, Cortese, Samuele and Cohen, David
(2024)
Promoting emotional and behavioral interventions in ASD treatment: evidence from EPIGRAM, a naturalistic, prospective and longitudinal study.
Research in Developmental Disabilities, 147, [104688].
(doi:10.1016/j.ridd.2024.104688).
Abstract
Background: prognostic factors from naturalistic treatment studies of Autism Spectrum Disorder (ASD) for children remain largely unknown. We aimed to identify baseline and treatment-related prognostic predictors at 1-year follow-up after Integrative Care Practices (ICP).
Methods: eighty-nine autistic children (3-6 years) with associated cognitive impairment were given ICP combining nine therapeutic workshops based on children’s needs. Participants were assessed at baseline and during 12 months follow-up with the Psycho-educational Profile-3-R, Children Autism Rating Scale, parent global impression (PAR), and the Autistic Behaviors Scale. We assessed prognostic predictors using multivariable regression models and explored treatment ingredients influencing outcome using Classification and Regression Trees (CART).
Results: multivariable models showed that being a child from first generation immigrant parents predicted worse maladaptive behaviors, whereas play activities had an opposite effect; severity of ASD and impaired cognitive functions predicted worse autism severity; and lower play activities predicted worse PAR. More emotion/behavioral interventions predicted better outcomes and more communication interventions predicted lower autism severity, whereas more education and cognitive interventions had an opposite effect. CART confirmed that more interventions in the emotion/behavior domain helped classifying cases with better outcomes. More parental support was associated with decreased maladaptive behaviors. Sensorimotor and education interventions also significantly contributed to classify cases according to outcomes but defined subgroups with opposite prognosis.
Conclusion: children who exhibited the best prognosis following ICP had less autism severity, better cognition at baseline and non-migrant parents. Emotion/behavior interventions appeared key across all outcomes and should be promoted.
Text
EPIGRAM2- A naturalistic and longitudinal study - CAMH revised DC
- Accepted Manuscript
Restricted to Repository staff only until 2 March 2026.
Request a copy
Text
1-s2.0-S0891422224000209-main
- Version of Record
More information
Accepted/In Press date: 22 January 2024
e-pub ahead of print date: 2 March 2024
Published date: 2 March 2024
Keywords:
Autism; integrative care; predictive factors; access to care; machine learning
Identifiers
Local EPrints ID: 492915
URI: http://eprints.soton.ac.uk/id/eprint/492915
ISSN: 0891-4222
PURE UUID: a45381de-78f8-49ed-b9bf-47b0028d630c
Catalogue record
Date deposited: 20 Aug 2024 16:37
Last modified: 21 Aug 2024 01:47
Export record
Altmetrics
Contributors
Author:
Carlotta Bettencourt
Author:
Nicole Garret-Gloanec
Author:
Hugues Pellerin
Author:
PereMorgane Péré
Author:
Giulio Bertamini
Author:
Maria Squillante
Author:
Fabienne Roos-Weil
Author:
Léa Ferrand
Author:
Anne-Sophie Pernel
Author:
Gisèle Apter
Author:
Mohamed Chetouani
Author:
David Cohen
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
