Evidence map›Paper›PMID 41203924›Full record

ArticleJournal of autism and developmental disorders2025

Changes in Autism Traits from Early Childhood To Adolescence in the Study To Explore Early Development.

Gabriel S Dichter, Kyle F Grosser, Kaitlin K Cummings, Chyrise Bradley, Tanya P Garcia, Amanda L Tapia, Rebecca E Pretzel, Cy Nadler, Eric J Moody, Brian Barger and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Gabriel S DichterUniversity of North Carolina, Chapel Hill, NC, USA. dichter@med.unc.edu.ORCID http://orcid.org/0000-0003-3407-5417
Kyle F GrosserUniversity of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0001-5927-3968
Kaitlin K CummingsUniversity of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0002-5096-5519
Chyrise BradleyUniversity of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0001-5264-4340
Tanya P GarciaUniversity of North Carolina, Chapel Hill, NC, USA.
Amanda L TapiaUniversity of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0001-7348-7372
Rebecca E PretzelUniversity of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0001-7817-8624
Cy NadlerChildren's Mercy, Kansas, USA.ORCID https://orcid.org/0000-0002-1568-9221
Eric J MoodyWyoming Institute For Disabilities, University of Wyoming, Laramie, USA.ORCID https://orcid.org/0000-0003-0422-2340
Brian BargerGeorgia State University, Atlanta, USA.ORCID https://orcid.org/0000-0001-9403-1331
Nuri M ReyesUniversity of Colorado School of Medicine, Aurora, USA.ORCID https://orcid.org/0000-0003-3642-7746
M Daniele FallinEmory Rollins School of Public Health, Emory University, Atlanta, USA.ORCID https://orcid.org/0000-0002-9948-3908
Julie L DanielsUniversity of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0002-9658-3743

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mark D Shen · 2020 to 2026
$9.7M
Innovative Statistical Models for Development of First Huntington's Disease Progression Risk Assessment ToolK01NS099343 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GARCIA, TANYA PAMELA · 2017 to 2019
$739k
CDC HHS U01DD000180CDC HHS U01DD000181CDC HHS U01DD000182CDC HHS U01DD000183CDC HHS U01DD000184CDC HHS U01DD000498CDC HHS U01DD001207NICHD NIH HHS P50 HD103573NIEHS NIH HHS P30ES010126NIEHS NIH HHS T32ES007018NINDS NIH HHS K01NS099343
6 · The paper itself

Abstract

purposeThe objectives of this study were to investigate associations between co-occurring developmental, psychiatric, behavioral, and medical symptoms and conditions and autism spectrum disorder (ASD) traits, as well as predictors of changes in autistic traits from early childhood to adolescence.

methodsParticipants from the Study to Explore Early Development (SEED) were identified as having autism spectrum disorder (ASD) (n = 707), another developmental disorder (DD) (n = 995), or as a population comparison group (POP) (n = 898). Caregivers completed the Social Responsiveness Scale-2nd edition (SRS-2) to measure autistic traits and were asked about co-occurring symptoms and conditions when their child was 2–5 years old and 12–16 years old. Children completed the Mullen Scales of Early Learning (MSEL) when they were 2–5 years old.

resultsRegression models revealed that in early childhood and adolescence, multiple co-occurring symptoms and conditions were significantly associated with higher SRS-2 scores (e.g., motor, sensory, and sleep problems for children with ASD and DD). Within the ASD and DD groups, but not the POP group, lower MSEL scores at childhood were associated with greater increases in SRS-2 scores between early childhood and adolescence.

conclusionsFindings suggest that motor, sensory, and sleep problems may be important intervention targets for ASD and DD youth with elevated SRS-2 scores and that interventions that target cognitive functioning in childhood may be important to modify trajectories of autistic traits from childhood to adolescence.

Indexed as

Autism spectrum disorderAutism traitsLongitudinal studiesThe study to explore early development (SEED).

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.