La Clinica terapeutica · 2025
Correlation between demographic factors and Autism Spectrum Disorder intervention outcomes in southern Vietnam.
Клиническое исследованиеСтатьяНазвание и аннотация: Перевод в очереди
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Nguyen Van Tuan, Tran Thien Thang, Nguyen Minh Phuong, Tran Thien Kieu, Nguyen Gia Long, Le Thi Thu Ha, Nguyen Thanh Long, Nguyen Thi Hoa, Nguyen Hoang Yen, Vu Son Tung
Аннотация
PURPOSE: This study examines how demographic factors such as parental age, education, occupation, intervention training, family income, and psychotropic drug use impact Autism Spectrum Disorder (ASD) intervention outcomes in southern Vietnam. Identifying significant demographic influences can help clinicians personalize treatment plans, potentially improving the effectiveness of interventions for ASD.
APPROACH: Sixty-three children with ASD were analyzed using DSM-5 criteria. Intervention outcomes were measured through the Childhood Autism Rating Scale (CARS), Autism Treatment Evaluation Checklist (ATEC), Vineland Adaptive Behavior Scales-II (VABS-II), and Communication Matrix (CM). Statistical analyses used the General Linear Model to assess associations between demographic factors and intervention effectiveness.
FINDINGS: Results show that specific factors, particularly paternal age, occupation, family income, and psychotropic drug usage, correlate significantly with certain intervention outcomes. Notably, psychotropic drugs positively affected communication, while other variables like paternal age and income impacted adaptive behaviors.
ORIGINALITY/VALUE: This study emphasizes the value of demographic-informed, tailored intervention approaches for ASD. These findings highlight how specific demographic factors can serve as predictors of treatment response, providing insights for developing more personalized ASD intervention strategies.
APPROACH: Sixty-three children with ASD were analyzed using DSM-5 criteria. Intervention outcomes were measured through the Childhood Autism Rating Scale (CARS), Autism Treatment Evaluation Checklist (ATEC), Vineland Adaptive Behavior Scales-II (VABS-II), and Communication Matrix (CM). Statistical analyses used the General Linear Model to assess associations between demographic factors and intervention effectiveness.
FINDINGS: Results show that specific factors, particularly paternal age, occupation, family income, and psychotropic drug usage, correlate significantly with certain intervention outcomes. Notably, psychotropic drugs positively affected communication, while other variables like paternal age and income impacted adaptive behaviors.
ORIGINALITY/VALUE: This study emphasizes the value of demographic-informed, tailored intervention approaches for ASD. These findings highlight how specific demographic factors can serve as predictors of treatment response, providing insights for developing more personalized ASD intervention strategies.