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Predicting parental caregiving burden based on sensory processing patterns and social skills in individuals with high-functioning autism spectrum disorder

Year: 2026

Type: article

Abstract: Objective: This study aimed to Predicting Parental Caregiving Burden Based on Sensory Processing Patterns and Social Skills in Individuals with High-Functioning Autism Spectrum Disorder. Method: This correlational study recruited a convenience sample of 60 autistic children (aged 5-12 years, IQ > 80) from rehabilitation clinics. Parents completed the Zarit Burden Interview, the Sensory Profile School Companion, and the Gresham and Elliott Social Skills Rating Scale. Data were assessed using Pearson correlation as well as multiple regression analyses. Results: Sensory processing patterns were positively correlated with parental burden (r = 0.52 to 0.58), while social skills were negatively correlated (r = -0.59). Regression analyses identified significant unique predictors. Sensory Sensitivity (β = 0.28, p = 0.03) and Sensory Avoiding (β = 0.31, p = 0.02) were significant positive predictors of burden. In a separate model, lower Social Skills (β = -0.42, p = 0.003) and higher Problem Behavior (β = 0.28, p = 0.02) significantly predicted greater burden, collectively explaining 41.4% of the variance. Conclusion: Specific sensory processing difficulties (sensitivity and avoidance) and social-behavioral factors are significant, unique predictors of parental care burden. Interventions targeting these domains may alleviate caregiver stress and improve family outcomes in autism.

Source: Frontiers in Psychiatry

DOI: 10.3389/fpsyt.2026.1747494

Authors: Sale Zhang, Lili Zhang, Ying Li, Yu Zhang, Li Su

Institutions: Xi'an Peihua University, Gaochun People's Hospital

Language: English

Topic: Family and Disability Support Research

Subfield: Clinical Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801