Optimized grouping methods for high and low autistic traits using the Chinese version of the comprehensive autistic trait inventory: A two-wave study of 2214 participants over six months / Shuang MA in Research in Autism, 131 (March 2026)  

Public ISBD [article]  inResearch in Autism > 131 (March 2026) . - 202827 Titre : Optimized grouping methods for high and low autistic traits using the Chinese version of the comprehensive autistic trait inventory: A two-wave study of 2214 participants over six months Type de document : texte imprimé Auteurs : Shuang MA, Auteur ; Xintong LI, Auteur ; Wenrui LI, Auteur ; Xinyi HE, Auteur ; Yijie HUANG, Auteur ; Wendian SHI, Auteur ; Xudong ZHAO, Auteur Article en page(s) : 202827 Langues : Anglais (eng) Mots-clés : Autistic Traits  Autism  Comprehensive Autistic Trait Inventory  Grouping Methods Index. décimale : PER Périodiques Résumé : Autistic traits (ATs) are subclinical behavioral and cognitive characteristics associated with autism, prevalent in the general population. Studying individuals with high ATs offers valuable insights for autism research, particularly when utilizing larger samples with fewer confounding conditions. This study utilized the Chinese Version of the Comprehensive Autistic Trait Inventory (CATI-C) to assess 2214 university students at two time points, six months apart, to identify optimal methods for distinguishing high and low ATs. Internal consistency and test-retest reliability of the CATI-C were evaluated using Cronbach’s α, Pearson’s correlation, and Intraclass Correlation Coefficients (ICC). Kappa (κ) consistency tests, combined with independent-sample t-tests, were used to compare four grouping methods: median, quartile, decile, and mean ± 1 SD. Results indicated excellent internal consistency (Cronbach’s α > 0.88) and strong test-retest reliability (Pearson’s correlation and ICC > 0.67). Both Kappa and t-test analyses identified the mean ± 1 SD (high ATs > 144; low ATs < 103) and decile (high ATs > 148; low ATs < 98) methods as the most stable and effective for distinguishing between high and low ATs. These findings provide critical guidance for optimizing the use of the CATI-C in future research on ATs in Chinese contexts. En ligne : https://doi.org/10.1016/j.reia.2026.202827 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=581 [article] Optimized grouping methods for high and low autistic traits using the Chinese version of the comprehensive autistic trait inventory: A two-wave study of 2214 participants over six months [texte imprimé] / Shuang MA, Auteur ; Xintong LI, Auteur ; Wenrui LI, Auteur ; Xinyi HE, Auteur ; Yijie HUANG, Auteur ; Wendian SHI, Auteur ; Xudong ZHAO, Auteur . - 202827. Langues : Anglais (eng) in Research in Autism > 131 (March 2026) . - 202827 Mots-clés : Autistic Traits  Autism  Comprehensive Autistic Trait Inventory  Grouping Methods Index. décimale : PER Périodiques Résumé : Autistic traits (ATs) are subclinical behavioral and cognitive characteristics associated with autism, prevalent in the general population. Studying individuals with high ATs offers valuable insights for autism research, particularly when utilizing larger samples with fewer confounding conditions. This study utilized the Chinese Version of the Comprehensive Autistic Trait Inventory (CATI-C) to assess 2214 university students at two time points, six months apart, to identify optimal methods for distinguishing high and low ATs. Internal consistency and test-retest reliability of the CATI-C were evaluated using Cronbach’s α, Pearson’s correlation, and Intraclass Correlation Coefficients (ICC). Kappa (κ) consistency tests, combined with independent-sample t-tests, were used to compare four grouping methods: median, quartile, decile, and mean ± 1 SD. Results indicated excellent internal consistency (Cronbach’s α > 0.88) and strong test-retest reliability (Pearson’s correlation and ICC > 0.67). Both Kappa and t-test analyses identified the mean ± 1 SD (high ATs > 144; low ATs < 103) and decile (high ATs > 148; low ATs < 98) methods as the most stable and effective for distinguishing between high and low ATs. These findings provide critical guidance for optimizing the use of the CATI-C in future research on ATs in Chinese contexts. En ligne : https://doi.org/10.1016/j.reia.2026.202827 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=581

The network structure of autistic traits, executive function, prosopagnosia and social anxiety / Xuehua XU in Research in Autism, 131 (March 2026)  

Public ISBD [article]  inResearch in Autism > 131 (March 2026) . - 202815 Titre : The network structure of autistic traits, executive function, prosopagnosia and social anxiety Type de document : texte imprimé Auteurs : Xuehua XU, Auteur ; Xinyi HE, Auteur ; Wei REN, Auteur ; Xudong ZHAO, Auteur Article en page(s) : 202815 Langues : Anglais (eng) Mots-clés : Autistic traits  Executive function  Prosopagnosia  Social anxiety  Network analysis Index. décimale : PER Périodiques Résumé : Objective Autistic traits (ATs), executive function, prosopagnosia, and social anxiety may interact dynamically: executive function variations might shape ATs and prosopagnosia; prosopagnosia could influence social cue processing, potentially affecting social anxiety; social anxiety, in turn, may impact executive function—forming interconnected relationships. Traditional methods fail to capture these complex dynamics, so this study aimed to use network analysis to explore their interrelations in college students and community members. Methods A total of 1091 participants completed online self-report questionnaires. Network analysis was conducted to examine associations between the four variables, identify central/bridge nodes, and compare differences between high and low AT groups. Results Three trait communities were identified: (1) the social dimension of ATs + prosopagnosia + executive function; (2) "Social Anxiety"; (3) the non-social dimension of ATs + social camouflage. Social anxiety related to interacting with strangers (SOA2), social anxiety related to criticism and embarrassment (SOA4), and repetitive behaviors (REP) were the most central nodes; SOA2, executive function, and REP acted as bridge nodes. Significant differences in network patterns, edge strength, and node centrality were observed between high and low AT groups, with the high AT group showing weaker overall network strength. Conclusions These findings provide valuable insights into the complex interactions among ATs, social anxiety, executive function, and prosopagnosia. The identification of key nodes and differences between AT groups in trait community connectivity has important implications for targeted interventions and personalized approaches in addressing these traits in individuals with varying levels of ATs. En ligne : https://doi.org/10.1016/j.reia.2026.202815 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=581 [article] The network structure of autistic traits, executive function, prosopagnosia and social anxiety [texte imprimé] / Xuehua XU, Auteur ; Xinyi HE, Auteur ; Wei REN, Auteur ; Xudong ZHAO, Auteur . - 202815. Langues : Anglais (eng) in Research in Autism > 131 (March 2026) . - 202815 Mots-clés : Autistic traits  Executive function  Prosopagnosia  Social anxiety  Network analysis Index. décimale : PER Périodiques Résumé : Objective Autistic traits (ATs), executive function, prosopagnosia, and social anxiety may interact dynamically: executive function variations might shape ATs and prosopagnosia; prosopagnosia could influence social cue processing, potentially affecting social anxiety; social anxiety, in turn, may impact executive function—forming interconnected relationships. Traditional methods fail to capture these complex dynamics, so this study aimed to use network analysis to explore their interrelations in college students and community members. Methods A total of 1091 participants completed online self-report questionnaires. Network analysis was conducted to examine associations between the four variables, identify central/bridge nodes, and compare differences between high and low AT groups. Results Three trait communities were identified: (1) the social dimension of ATs + prosopagnosia + executive function; (2) "Social Anxiety"; (3) the non-social dimension of ATs + social camouflage. Social anxiety related to interacting with strangers (SOA2), social anxiety related to criticism and embarrassment (SOA4), and repetitive behaviors (REP) were the most central nodes; SOA2, executive function, and REP acted as bridge nodes. Significant differences in network patterns, edge strength, and node centrality were observed between high and low AT groups, with the high AT group showing weaker overall network strength. Conclusions These findings provide valuable insights into the complex interactions among ATs, social anxiety, executive function, and prosopagnosia. The identification of key nodes and differences between AT groups in trait community connectivity has important implications for targeted interventions and personalized approaches in addressing these traits in individuals with varying levels of ATs. En ligne : https://doi.org/10.1016/j.reia.2026.202815 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=581

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