Factors for Psychological Distress in Autism Caregivers, 213 Participants from Urumqi

213 caregivers of preschool children with Autism Spectrum Disorder were surveyed in Urumqi between December 2023 and October 2024. Song Chen published this dataset to identify factors associated with caregiver psychological distress using LASSO regression and random forest models. The resulting model achieved an AUC of 0.87 on the test set.

Use Cases

• Predicting psychological distress risk in caregivers based on child comorbidities and care hours.
• Comparing machine learning model performance (random forest vs. logistic regression) for clinical prediction tasks.
• Identifying high-risk caregiver profiles for targeted interventions based on marital and employment status.
• Validating clinical utility of a risk model using decision curve analysis across probability thresholds.

Strengths

• Model performance metrics are provided, including an AUC of 0.87 on the test set.
• Data collection is explicitly dated from December 2023 to October 2024, providing a recent snapshot.
• The study design employed two distinct predictive modeling algorithms for comparative validation.

Limitations

• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a convenience sample from three institutions in one city, which may limit generalizability.

Provenance

Source

Song Chen via figshare

Collection Method

Convenience sampling with a demographic questionnaire and the Symptom Checklist-90.

Time Range

December 2023 to October 2024

Freshness

Last updated 2026-05-20 05:23:47; freshness should be verified.

Geography

Urumqi, China