Correlation between demographic factors and Autism Spectrum Disorder intervention outcomes in southern Vietnam.

This study looked at how family factors like dad's age, job, family income, and medication use affect how well autism treatments work for children. Researchers studied 63 children with autism in Vietnam and found that certain family characteristics can predict how well a child might respond to treatment. For example, medication helped with communication skills, while factors like dad's age and family income affected daily living skills. This suggests treatments should be tailored based on each family's situation.

This Vietnamese study examined how demographic factors influence autism intervention outcomes in 63 children with ASD. Using standardized assessment tools (CARS, ATEC, VABS-II, Communication Matrix), researchers analyzed associations between various demographic variables and treatment effectiveness. Key findings indicate that paternal age, occupation, family income, and psychotropic medication use significantly correlate with specific intervention outcomes. Notably, psychotropic medications showed positive effects on communication abilities, while paternal factors and income levels impacted adaptive behaviors.

The study emphasizes the importance of considering demographic characteristics when developing personalized intervention strategies for children with autism.

Clinicians should consider demographic factors when developing intervention plans. Paternal characteristics and socioeconomic status may serve as useful predictors of treatment response. Psychotropic medications warrant consideration for communication improvements. Personalized approaches based on family demographics may enhance intervention effectiveness.

Small sample size of 63 participants limits generalizability. Study conducted in one geographic region (southern Vietnam) may not apply to other populations. Cross-sectional design cannot establish causation between demographic factors and outcomes.

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.