Evidence map›Paper›PMID 37024960›Full record

ArticleMolecular autism2023

Sex differences in the temporal dynamics of autistic children's natural conversations.

Sunghye Cho, Meredith Cola, Azia Knox, Maggie Rose Pelella, Alison Russell, Aili Hauptmann, Maxine Covello, Christopher Cieri, Mark Liberman, Robert T Schultz and 1 more

Abstract read
In one paragraph

Article in Molecular autism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Sex-specific metrics for success: Gaps in social word use are bigger for autistic girls than boys.Autism : the international journal of research and practice · 2026
    Article
  2. Untangling Sex and Gender Differences in Impression Management and Associated Autism Features in French Autistic Adults.Autism research : official journal of the International Society for Autism Research · 2026
    Article
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  11. [Neurodevelopment and cerebral blood flow in children aged 2-6 years with autism spectrum disorder].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Article
  12. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sunghye ChoLinguistic Data Consortium, University of Pennsylvania, 3600 Market Street, Philadelphia, PA, 19104, USA. csunghye@ldc.upenn.edu.
Meredith ColaCenter for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Azia KnoxCenter for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Maggie Rose PelellaCenter for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Alison RussellCenter for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Aili HauptmannCenter for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Maxine CovelloCenter for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Christopher CieriLinguistic Data Consortium, University of Pennsylvania, 3600 Market Street, Philadelphia, PA, 19104, USA.
Mark LibermanLinguistic Data Consortium, University of Pennsylvania, 3600 Market Street, Philadelphia, PA, 19104, USA.
Robert T SchultzCenter for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Julia Parish-MorrisCenter for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.

Funding

The Intellectual and Developmental Disabilities Research Center (IDDRC) at CHOP/PennP50HD105354 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI ERIC D MARSH, ROBERT Thomas SCHULTZ · 2021 to 2026
$9.2M
Predicting Autism and Social Functioning from Computer Vision Analyses of Motor Synchrony During Dyadic InteractionsR01MH118327 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI SCHULTZ, ROBERT THOMAS · 2019 to 2023
$3.7M
Digitizing Human Vocal Interaction to Understand and Diagnose AutismR01DC018289 · NIDCD · CHILDREN'S HOSP OF PHILADELPHIA · PI PARISH-MORRIS, JULIA · 2020 to 2024
$3.1M
NICHD NIH HHS P50 HD105354NIDCD NIH HHS R01 DC018289NIMH NIH HHS R01 MH118327
6 · The paper itself

Abstract

backgroundAutistic girls are underdiagnosed compared to autistic boys, even when they experience similar clinical impact. Research suggests that girls present with distinct symptom profiles across a variety of domains, such as language, which may contribute to their underdiagnosis. In this study, we examine sex differences in the temporal dynamics of natural conversations between naïve adult confederates and school-aged children with or without autism, with the goal of improving our understanding of conversational behavior in autistic girls and ultimately improving identification.

methodsForty-five school-aged children with autism (29 boys and 16 girls) and 47 non-autistic/neurotypical (NT) children (23 boys and 24 girls) engaged in a 5-min "get-to-know-you" conversation with a young adult confederate that was unaware of children's diagnostic status. Groups were matched on IQ estimates. Recordings were time-aligned and orthographically transcribed by trained annotators. Several speech and pause measures were calculated. Groups were compared using analysis of covariance models, controlling for age.

resultsAutistic girls used significantly more words than autistic boys, and produced longer speech segments than all other groups. Autistic boys spoke more slowly than NT children, whereas autistic girls did not differ from NT children in total word counts or speaking rate. Autistic boys interrupted confederates' speech less often and produced longer between-turn pauses (i.e., responded more slowly when it was their turn) compared to other children. Within-turn pause duration did not differ by group. LIMITATIONS: Our sample included verbally fluent children and adolescents aged 6-15 years, so our study results may not replicate in samples of younger children, adults, and individuals who are not verbally fluent. The results of this relatively small study, while compelling, should be interpreted with caution and replicated in a larger sample.

conclusionThis study investigated the temporal dynamics of everyday conversations and demonstrated that autistic girls and boys have distinct natural language profiles. Specifying differences in verbal communication lays the groundwork for the development of sensitive screening and diagnostic tools to more accurately identify autistic girls, and could inform future personalized interventions that improve short- and long-term social communication outcomes for all autistic children.

Indexed as

Autistic DisorderAdolescentChildCommunicationFemaleHumansLanguageMaleSex CharacteristicsSpeechAutismConversationInterruptionNatural languageProsodySex differencesSpeech durationSpeech rateTemporal dynamics

Identifiers

PMID37024960
PMCPMC10080787

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.