Preschool development, temperament and genetic liability as early markers of childhood ADHD: A cohort study.

ADHD ALSPAC developmental delay early markers polygenic risk scores precursors temperament

Journal

JCPP advances
ISSN: 2692-9384
Titre abrégé: JCPP Adv
Pays: United States
ID NLM: 9918250414706676

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 25 10 2021
accepted: 01 08 2022
entrez: 8 12 2022
pubmed: 9 12 2022
medline: 9 12 2022
Statut: ppublish

Résumé

ADHD is associated with multiple adverse outcomes and early identification is important. The present study sets out to identify early markers and developmental characteristics during the first 30 months of life that are associated with ADHD 6 years later. 9201 participants from the prospective Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were included. Outcome measures were parent-rated ADHD symptom scores (Strengths and Difficulties Questionnaire, SDQ) and ADHD diagnosis (Development and Wellbeing Assessment, DAWBA) at age 7. Seventeen putative markers were identified from previous literature and included: pre- and peri-natal risk factors, genetic liability (ADHD polygenic risk scores, PRS), early development, temperament scores and regulatory problems. Associations were examined using regression analysis. Univariable regression analysis showed that multiple early life factors were associated with future ADHD outcomes, even after controlling for sex and socio-economic status. In a multivariable linear regression model; temperament activity scores ( As well as male sex and lower socio-economic status, high temperament activity levels and motor and speech delays in the first 30 months of life, are associated with childhood ADHD. Intriguingly, given that genetic risk scores are known to explain little of the variance of ADHD outcomes, we found that ADHD PRS added useful predictive information. Future research needs to test whether predictive models incorporating aspects of early development and genetic risk scores are useful for predicting ADHD in clinical practice.

Sections du résumé

Background UNASSIGNED
ADHD is associated with multiple adverse outcomes and early identification is important. The present study sets out to identify early markers and developmental characteristics during the first 30 months of life that are associated with ADHD 6 years later.
Methods UNASSIGNED
9201 participants from the prospective Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were included. Outcome measures were parent-rated ADHD symptom scores (Strengths and Difficulties Questionnaire, SDQ) and ADHD diagnosis (Development and Wellbeing Assessment, DAWBA) at age 7. Seventeen putative markers were identified from previous literature and included: pre- and peri-natal risk factors, genetic liability (ADHD polygenic risk scores, PRS), early development, temperament scores and regulatory problems. Associations were examined using regression analysis.
Results UNASSIGNED
Univariable regression analysis showed that multiple early life factors were associated with future ADHD outcomes, even after controlling for sex and socio-economic status. In a multivariable linear regression model; temperament activity scores (
Conclusion UNASSIGNED
As well as male sex and lower socio-economic status, high temperament activity levels and motor and speech delays in the first 30 months of life, are associated with childhood ADHD. Intriguingly, given that genetic risk scores are known to explain little of the variance of ADHD outcomes, we found that ADHD PRS added useful predictive information. Future research needs to test whether predictive models incorporating aspects of early development and genetic risk scores are useful for predicting ADHD in clinical practice.

Identifiants

pubmed: 36478889
doi: 10.1002/jcv2.12099
pii: JCV212099
pmc: PMC9716640
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e12099

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : G9815508
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom

Informations de copyright

© 2022 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health.

Déclaration de conflit d'intérêts

The authors declares that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

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Auteurs

Esther Tobarra-Sanchez (E)

Child and Adolescent Psychiatry Section Division of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University Cardiff UK.
Cwm Taf Morgannwg University Health Board Cardiff UK.

Lucy Riglin (L)

Child and Adolescent Psychiatry Section Division of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University Cardiff UK.

Sharifah S Agha (SS)

Child and Adolescent Psychiatry Section Division of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University Cardiff UK.
Cwm Taf Morgannwg University Health Board Cardiff UK.

Evie Stergiakouli (E)

MRC Integrative Epidemiology Unit University of Bristol Bristol UK.
Population Health Sciences Bristol Medical School University of Bristol Bristol UK.

Anita Thapar (A)

Child and Adolescent Psychiatry Section Division of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University Cardiff UK.

Kate Langley (K)

Child and Adolescent Psychiatry Section Division of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University Cardiff UK.
School of Psychology Cardiff University Cardiff UK.

Classifications MeSH