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Contributions of the ELENA Cohort to Study Autism Spectrum Disorder in Children and Adolescents from a Biopsychosocial Framework.

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Title: Contributions of the ELENA Cohort to Study Autism Spectrum Disorder in Children and Adolescents from a Biopsychosocial Framework.
Authors: Baghdadli, Amaria (AUTHOR), Peries, Marianne (AUTHOR), Loubersac, Julie (AUTHOR), Michelon, Cécile (AUTHOR), Rattaz, Cécile (AUTHOR), Ferrando, Laetitia (AUTHOR), David, Aurore (AUTHOR), Munir, Kerim (AUTHOR), Picot, Marie-Christine (AUTHOR)
Source: Journal of Autism & Developmental Disorders. Jan2026, Vol. 56 Issue 1, p362-387. 26p.
Subjects: Autism risk factors, Risk assessment, Adolescent development, Parents, Holistic medicine, Research funding, Questionnaires, Interviewing, Time series analysis, Classification of mental disorders, Severity of illness index, Psychological well-being, Descriptive statistics, Longitudinal method, Child development, Conceptual structures, Research, Case-control method, Quality of life, Child Behavior Checklist, Asperger's syndrome, Psychological tests, Biopsychosocial model, Comorbidity, Health care teams, Adolescence, Children
Geographic Terms: France
Abstract: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition influenced by a myriad of developmental, biological, psychological, and socio-demographic factors. The ELENA cohort seeks to delineate the intricate interplay of these factors, facilitating the identification of risk factors and the development of targeted interventions. This paper emphasizes the clinical profiles of children and outlines key findings from a biopsychosocial perspective. The ELENA cohort, a multicenter initiative across French regional centers, conducted a systematic prospective analysis on children newly diagnosed with DSM-5 ASD between 2012 and 2019. This encompassed direct assessments and parent-reported questionnaires covering a broad spectrum of developmental, biological, psychological and socio-demographic measures. Embedded case–control studies further examined risk and protective factors, alongside specific environmental and psychosocial influences during pregnancy and early childhood. A subset of participants also contributed biospecimens, with data enhancement via linkage to French National Administrative Healthcare Databases. The study unveils baseline clinical characteristics for 876 children, average age 6 (SD ± 3.3) previously unreported in protocol descriptions. It highlights the study's developmental biopsychosocial approach and its novel findings on children's socio-adaptive functioning, ASD severity, comorbidities, quality of life and interventions. Employing developmental biopsychosocial insights offers a promising pathway to integrating health, social care, and experiential insights, ultimately aiming to enhance the future well-being and outcomes for children with ASD. This approach underscores the need of a holistic, interdisciplinary strategy in encouraging and supporting the ASD community. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Contributions of the ELENA Cohort to Study Autism Spectrum Disorder in Children and Adolescents from a Biopsychosocial Framework.
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  Data: <searchLink fieldCode="AR" term="%22Baghdadli%2C+Amaria%22">Baghdadli, Amaria</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peries%2C+Marianne%22">Peries, Marianne</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Loubersac%2C+Julie%22">Loubersac, Julie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Michelon%2C+Cécile%22">Michelon, Cécile</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rattaz%2C+Cécile%22">Rattaz, Cécile</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ferrando%2C+Laetitia%22">Ferrando, Laetitia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22David%2C+Aurore%22">David, Aurore</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Munir%2C+Kerim%22">Munir, Kerim</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Picot%2C+Marie-Christine%22">Picot, Marie-Christine</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. Jan2026, Vol. 56 Issue 1, p362-387. 26p.
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  Data: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition influenced by a myriad of developmental, biological, psychological, and socio-demographic factors. The ELENA cohort seeks to delineate the intricate interplay of these factors, facilitating the identification of risk factors and the development of targeted interventions. This paper emphasizes the clinical profiles of children and outlines key findings from a biopsychosocial perspective. The ELENA cohort, a multicenter initiative across French regional centers, conducted a systematic prospective analysis on children newly diagnosed with DSM-5 ASD between 2012 and 2019. This encompassed direct assessments and parent-reported questionnaires covering a broad spectrum of developmental, biological, psychological and socio-demographic measures. Embedded case–control studies further examined risk and protective factors, alongside specific environmental and psychosocial influences during pregnancy and early childhood. A subset of participants also contributed biospecimens, with data enhancement via linkage to French National Administrative Healthcare Databases. The study unveils baseline clinical characteristics for 876 children, average age 6 (SD ± 3.3) previously unreported in protocol descriptions. It highlights the study's developmental biopsychosocial approach and its novel findings on children's socio-adaptive functioning, ASD severity, comorbidities, quality of life and interventions. Employing developmental biopsychosocial insights offers a promising pathway to integrating health, social care, and experiential insights, ultimately aiming to enhance the future well-being and outcomes for children with ASD. This approach underscores the need of a holistic, interdisciplinary strategy in encouraging and supporting the ASD community. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10803-024-06519-8
    Languages:
      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 362
    Subjects:
      – SubjectFull: Autism risk factors
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Adolescent development
        Type: general
      – SubjectFull: Parents
        Type: general
      – SubjectFull: Holistic medicine
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Time series analysis
        Type: general
      – SubjectFull: Classification of mental disorders
        Type: general
      – SubjectFull: Severity of illness index
        Type: general
      – SubjectFull: Psychological well-being
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Longitudinal method
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      – SubjectFull: Child development
        Type: general
      – SubjectFull: Conceptual structures
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      – SubjectFull: Research
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      – SubjectFull: Case-control method
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      – SubjectFull: Quality of life
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      – SubjectFull: Asperger's syndrome
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      – SubjectFull: Psychological tests
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      – SubjectFull: Biopsychosocial model
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      – SubjectFull: Children
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      – SubjectFull: France
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              Text: Jan2026
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