Shared and distinct developmental pathways to ASD and ADHD phenotypes among infants at familial risk.


Journal

Development and psychopathology
ISSN: 1469-2198
Titre abrégé: Dev Psychopathol
Pays: United States
ID NLM: 8910645

Informations de publication

Date de publication:
10 2020
Historique:
pubmed: 17 9 2020
medline: 15 1 2021
entrez: 16 9 2020
Statut: ppublish

Résumé

Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are believed to share partially overlapping causal mechanisms suggesting that early risk markers may also overlap. Using latent profile analysis (LPA) in a sample of infants enriched for ASD and ADHD, we first examined the number of distinct groups of 3-year-old children, based on ADHD and ASD symptomatology. To investigate early predictors of ASD and ADHD symptom profiles, we next examined differences in trajectories of infant behaviors among the LPA classes spanning general development, negative affect, attention, activity level, impulsivity, and social behavior. Participants included 166 infants at familial risk for ASD (n = 89), ADHD (n = 38), or low-risk for both (n = 39) evaluated at 12, 18, 24, and 36 months of age. A three-class solution was selected reflecting a Typically Developing (TD) class (low symptoms; n = 108), an ADHD class (high ADHD/low ASD symptoms; n = 39), and an ASD class (high ASD/ADHD symptoms; n = 19). Trajectories of infant behaviors were generally suggestive of a gradient pattern of differences, with the greatest impairment within the ASD class followed by the ADHD class. These findings indicate a mixture of overlapping and distinct early markers of preschool ASD- and ADHD-like profiles that can be difficult to disentangle early in life.

Identifiants

pubmed: 32933597
doi: 10.1017/S0954579420000735
pii: S0954579420000735
pmc: PMC7891894
mid: NIHMS1666710
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1323-1334

Subventions

Organisme : NICHD NIH HHS
ID : P50 HD103526
Pays : United States
Organisme : NIMH NIH HHS
ID : R00 MH106642
Pays : United States
Organisme : NIMH NIH HHS
ID : K99 MH106642
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH099046
Pays : United States
Organisme : NICHD NIH HHS
ID : U54 HD079125
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH068398
Pays : United States

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Auteurs

Meghan Miller (M)

Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis, CA, USA.

Shane Austin (S)

Graduate Group in Biostatistics, University of California, Davis, CA, USA.

Ana-Maria Iosif (AM)

Department of Public Health Sciences, University of California, Davis, CA, USA.

Leiana de la Paz (L)

Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis, CA, USA.

Annie Chuang (A)

Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis, CA, USA.

Burt Hatch (B)

Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis, CA, USA.

Sally Ozonoff (S)

Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis, CA, USA.

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Classifications MeSH