MétaCan
Menu
← Retour à la cohorte
Enregistrement W3036830986 · doi:10.7939/r3-0va6-t370

Gender Differences in Social Communication in Autism Spectrum Disorder (ASD): Narratives

2020· article· en· W3036830986 sur OpenAlexaboutno aff
Olivia Conlon

Notice bibliographique

RevueUniversity of Alberta Library · 2020
Typearticle
Langueen
DomaineNeuroscience
ThématiqueAutism Spectrum Disorder Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAutism spectrum disorderNarrativePsychologySocial communicationAutismDevelopmental psychologyLinguistics

Résumé

récupéré en direct d'OpenAlex

Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication (SC), and the presence of restricted and repetitive interests/behaviours. ASD is diagnosed in 1 in 59 people in a 4:1 male:female ratio. Reasons for this uneven diagnostic ratio are unclear but possibly females may present with a more subtle or unique symptom profile and therefore may be under- or misdiagnosed. Examination of SC abilities of girls’ with ASD may provide insight into the female profile, as deficits in SC are universally impaired in ASD. Competence in SC requires synchronous application of social, cognitive and linguistic skill, and is vulnerable to subtle differences in functioning; therefore, sensitive assessment tools are imperative. Narrative analysis is one way to measure SC skills, as it engages a speaker in a complex cognitive-linguistic task embedded in a social context. Objective: The primary objective was to examine gender differences in SC ability in children with ASD using narrative analysis. The secondary objective was to determine if the gender differences found in participants’ with ASD would also be found in matched typically developing (TD) participants. Methods: Data for the participants with ASD were collected as part of a larger Canadian longitudinal study. Matched TD participants were recruited from Edmonton area. All participants were administered a battery of assessments including a standardized narrative task (Expression Reception and Recall of Narrative Instrument – ERRNI) and follow up Detailed Transcript Analysis (DTA) was conducted on the narratives. DTA focused on how well the basic story was constructed, known as story macrostructure, as well as on story microstructure which includes devices to enhance the story such as adding descriptive words or phrases, and sources of confusion for a listener, such as examples of incoherence. To examine if gender differences were present when the participants with ASD were 8-years-old, a series of independent samples t-tests was run with gender as the independent variable (IV) and the subtest/index scores (ERRNI, DTA) as the dependent variables (DVs). The second study’s aim was to determine the stability and pattern of the gender differences over time. The same participants were re-examined two years later at age 10, using the same measures, and their performance compared to their performance at age 8. For this analysis, a series of repeated measures ANOVAs was run with gender and time as IVs and the subtest/index scores (ERRNI, DTA) as DVs. Finally, in the third study, to determine if the gender differences found in the participants’ with ASD were also present in the TD participants, a series of MANOVAs with subtest/index scores (ERRNI, DTA) as DVs and gender and diagnostic group as IVs was run for each age group. Follow up univariate ANOVAs were conducted if MANOVA results were significant, and t-tests for the TD group were conducted if univariate ANOVAs were significant for gender. Results: For the 8-year-olds with ASD, significant gender differences were found on the ERRNI and DTA. The 8-year-old girls with ASD told a story that had significantly more salient plot points compared to the boys with ASD. Detailed analysis revealed that girls semantically enhanced their narratives (by adding details around character intentions), and avoided referencing errors significantly more than boys. On the longitudinal analysis, gender differences were consistently seen in the same areas and followed the same pattern as previously described with one additional difference on the Pragmatic Index of DTA, where 10-year-old girls with ASD had significantly fewer pragmatic errors than 10-year-old boys with ASD. When examining the TD group, significant gender differences were seen on measures of DTA only. For the 8-year-olds, significant differences were seen in pragmatic errors (where girls had fewer). For the 10-year-olds, significant differences were seen in pragmatic errors (where girls had fewer), sematic enhancement (girls enhanced more) and referencing errors (girls had fewer). Conclusion: Results demonstrate narrative skill strength in girls regardless of diagnostic status. This suggests that the girls and boys from this study have differing SC profiles, and in particular the boys and girls with ASD had consistently large significant differences. The girls with ASD demonstrated areas of narrative strength compared to the boys with ASD. This finding and future work may help to expand the understanding of the female presentation of ASD.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,037
Tête enseignante GPT0,239
Écart entre enseignants0,203 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUniversity of Alberta Library→Même sujetAutism Spectrum Disorder Research→Travaux en français237 207→