[article]
| Titre : |
Trait-based dimensional measures and WAIS-IV index scores for differentiating autism spectrum disorder with and without ADHD in adults |
| Type de document : |
texte imprimé |
| Auteurs : |
Artemios PEHLIVANIDIS, Auteur ; Eleni GIANNOULIS, Auteur ; Eva KALANTZI, Auteur ; Anthi PAPAIAKOVOU, Auteur ; Anastasia BOKOU, Auteur ; Kalliopi KOROBILI, Auteur ; Dimitra STAMATIADI, Auteur ; Katerina PAPANIKOLAOU, Auteur |
| Article en page(s) : |
202991 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Adult autism ADHD co-occurrence Empathy Emotional dysregulation WAIS-IV Working Memory Index |
| Index. décimale : |
PER Périodiques |
| Résumé : |
Background Autism in adulthood is characterized by marked heterogeneity in cognitive, socio-emotional, and affective functioning. Attention-deficit/hyperactivity disorder (ADHD) frequently co-occurs with autism, contributing to diagnostic complexity and variability in clinical presentation. Methods Trait-based dimensions derived from self-report screening instruments (AQ, EQ, ALS-18, BAARS-IV) and WAIS-IV cognitive indices were examined in 164 adults diagnosed with autism, ADHD, or co-occurring autism + ADHD. Stepwise discriminant function analysis was used to identify multivariate profiles differentiating these clinical presentations. Results Two significant discriminant functions emerged. The first (87.6% variance) was primarily defined by self-reported empathy (EQ) and autistic trait severity (AQ),distinguishing autistic from ADHD presentations. The second (12.4% of variance) was characterized mainly by working-memory performance (WMI), current ADHD symptoms (BAARS-6), and affective lability (ALS-18), contributing to the differentiation of adults with co-occurring autism + ADHD. The discriminant model correctly classified 65.2% of the original cases and 61.6% of cases following leave-one-out cross-validation. Conclusions The findings support the value of combining cognitive indices with dimensional trait measures to characterize heterogeneity across adults with ADHD, autism, and co-occurring autism + ADHD. Although the discriminant model identified clinically meaningful multivariate profiles, its moderate cross-validated classification accuracy indicates that it should be regarded as exploratory and requires replication and external validation before clinical application. |
| En ligne : |
https://doi.org/10.1016/j.reia.2026.202991 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=592 |
in Research in Autism > 137 (September 2026) . - 202991
[article] Trait-based dimensional measures and WAIS-IV index scores for differentiating autism spectrum disorder with and without ADHD in adults [texte imprimé] / Artemios PEHLIVANIDIS, Auteur ; Eleni GIANNOULIS, Auteur ; Eva KALANTZI, Auteur ; Anthi PAPAIAKOVOU, Auteur ; Anastasia BOKOU, Auteur ; Kalliopi KOROBILI, Auteur ; Dimitra STAMATIADI, Auteur ; Katerina PAPANIKOLAOU, Auteur . - 202991. Langues : Anglais ( eng) in Research in Autism > 137 (September 2026) . - 202991
| Mots-clés : |
Adult autism ADHD co-occurrence Empathy Emotional dysregulation WAIS-IV Working Memory Index |
| Index. décimale : |
PER Périodiques |
| Résumé : |
Background Autism in adulthood is characterized by marked heterogeneity in cognitive, socio-emotional, and affective functioning. Attention-deficit/hyperactivity disorder (ADHD) frequently co-occurs with autism, contributing to diagnostic complexity and variability in clinical presentation. Methods Trait-based dimensions derived from self-report screening instruments (AQ, EQ, ALS-18, BAARS-IV) and WAIS-IV cognitive indices were examined in 164 adults diagnosed with autism, ADHD, or co-occurring autism + ADHD. Stepwise discriminant function analysis was used to identify multivariate profiles differentiating these clinical presentations. Results Two significant discriminant functions emerged. The first (87.6% variance) was primarily defined by self-reported empathy (EQ) and autistic trait severity (AQ),distinguishing autistic from ADHD presentations. The second (12.4% of variance) was characterized mainly by working-memory performance (WMI), current ADHD symptoms (BAARS-6), and affective lability (ALS-18), contributing to the differentiation of adults with co-occurring autism + ADHD. The discriminant model correctly classified 65.2% of the original cases and 61.6% of cases following leave-one-out cross-validation. Conclusions The findings support the value of combining cognitive indices with dimensional trait measures to characterize heterogeneity across adults with ADHD, autism, and co-occurring autism + ADHD. Although the discriminant model identified clinically meaningful multivariate profiles, its moderate cross-validated classification accuracy indicates that it should be regarded as exploratory and requires replication and external validation before clinical application. |
| En ligne : |
https://doi.org/10.1016/j.reia.2026.202991 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=592 |
|  |
Trait-based dimensional measures and WAIS-IV index scores for differentiating autism spectrum disorder with and without ADHD in adults in Research in Autism, 137 (September 2026)
