A bibliometric analysis of mindfulness-based interventions for individuals with autism spectrum disorder and their caregivers / Maosen GUAN ; Tatyana R. TOMENKO ; Irina A. TUZANKINA ; Valery A. CHERESHNEV ; Ningkun XIAO in Research in Autism, 126 (August 2025)  

Public ISBD [article]  inResearch in Autism > 126 (August 2025) . - p.202640 Titre : A bibliometric analysis of mindfulness-based interventions for individuals with autism spectrum disorder and their caregivers Type de document : Texte imprimé et/ou numérique Auteurs : Maosen GUAN, Auteur ; Tatyana R. TOMENKO, Auteur ; Irina A. TUZANKINA, Auteur ; Valery A. CHERESHNEV, Auteur ; Ningkun XIAO, Auteur Article en page(s) : p.202640 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  Mindfulness-based intervention  Mindfulness  Mental health  Family well-being  Bibliometric study Index. décimale : PER Périodiques Résumé : Background Autism spectrum disorder (ASD) presents significant challenges for both individuals and caregivers, often leading to stress, anxiety, and depression. Although mindfulness-based interventions (MBIs) have emerged as a promising approach to alleviate these burdens, this field lacks a comprehensive bibliometric analysis. Aim We discuss future research hotspots and directions, with the aim of helping researchers quickly identify key areas for collaboration and development in this field, thereby advancing the clinical application of MBIs and improving the physical and mental well-being of autistic individuals and their caregivers. Methodology We analyzed data from the Web of Science Core Collection (WoSCC), which included 335 articles authored by 1213 researchers and published in 146 journals. We employed bibliometric tools to examine publication trends, citations, key authors, and institutions. We conducted keyword and thematic evolution analyses to identify research hotspots and emerging trends. Findings Since 2013, research on MBIs for ASD has significantly increased, with the USA leading in both output and impact. Family-centered mindfulness interventions focused on caregivers' well-being, particularly for mothers, were a key theme. Researchers widely used psychometric tools like the Beck Anxiety Inventory (BAI) and Parenting Stress Index (PSI). Emerging trends include the integration of MBI with artificial intelligence and remote interventions, which address sensory processing and social communication in ASD. Significance This is the first bibliometric study on MBIs for ASD, highlighting their growing importance in improving mental health and reducing stress in both autistic individuals and caregivers. Future research should focus on personalized interventions and further explore the underlying mechanisms of MBIs. En ligne : https://doi.org/10.1016/j.reia.2025.202640 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=565 [article] A bibliometric analysis of mindfulness-based interventions for individuals with autism spectrum disorder and their caregivers [Texte imprimé et/ou numérique] / Maosen GUAN, Auteur ; Tatyana R. TOMENKO, Auteur ; Irina A. TUZANKINA, Auteur ; Valery A. CHERESHNEV, Auteur ; Ningkun XIAO, Auteur . - p.202640. Langues : Anglais (eng) in Research in Autism > 126 (August 2025) . - p.202640 Mots-clés : Autism spectrum disorders  Mindfulness-based intervention  Mindfulness  Mental health  Family well-being  Bibliometric study Index. décimale : PER Périodiques Résumé : Background Autism spectrum disorder (ASD) presents significant challenges for both individuals and caregivers, often leading to stress, anxiety, and depression. Although mindfulness-based interventions (MBIs) have emerged as a promising approach to alleviate these burdens, this field lacks a comprehensive bibliometric analysis. Aim We discuss future research hotspots and directions, with the aim of helping researchers quickly identify key areas for collaboration and development in this field, thereby advancing the clinical application of MBIs and improving the physical and mental well-being of autistic individuals and their caregivers. Methodology We analyzed data from the Web of Science Core Collection (WoSCC), which included 335 articles authored by 1213 researchers and published in 146 journals. We employed bibliometric tools to examine publication trends, citations, key authors, and institutions. We conducted keyword and thematic evolution analyses to identify research hotspots and emerging trends. Findings Since 2013, research on MBIs for ASD has significantly increased, with the USA leading in both output and impact. Family-centered mindfulness interventions focused on caregivers' well-being, particularly for mothers, were a key theme. Researchers widely used psychometric tools like the Beck Anxiety Inventory (BAI) and Parenting Stress Index (PSI). Emerging trends include the integration of MBI with artificial intelligence and remote interventions, which address sensory processing and social communication in ASD. Significance This is the first bibliometric study on MBIs for ASD, highlighting their growing importance in improving mental health and reducing stress in both autistic individuals and caregivers. Future research should focus on personalized interventions and further explore the underlying mechanisms of MBIs. En ligne : https://doi.org/10.1016/j.reia.2025.202640 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=565

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