ベトナム南部における自閉症スペクトラム障害の介入結果と人口統計学的要因との相関

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.

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.

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.

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.