Singapore Youth Disability Profiles Linked to Distress and Healthcare Use

Edimansyah Abdin authored a dataset profiling disability subtypes among Singaporean youth. The data originates from the National Mental Health Youth Study, a cross-sectional survey of 2,600 residents aged 15-35. It contains latent class analysis results linking disability profiles to psychological distress and healthcare utilization.

Use Cases

• Identify sociodemographic correlates of disability subtypes based on ethnicity and education factors mentioned in the description.
• Model associations between disability classes and psychological distress outcomes like depression and anxiety.
• Analyze healthcare utilization patterns, including hospital admissions and A&E visits, across different disability profiles.

Strengths

• Dataset is based on a substantial sample of 2,600 survey respondents.
• Analysis identifies four distinct disability classes with precise prevalence percentages (e.g., high difficulty class at 7.8%).
• Results include specific odds ratios linking disability to clinical outcomes, such as OR=4.1 for severe depression.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is stored in a DOCX file format (32.6 KB), which is a tiny dataset and suggests limited raw data scope.

Provenance

Source

National Mental Health Youth Study.

Collection Method

Cross-sectional epidemiological survey.

Freshness

Last updated 2026-06-01 05:18:29; freshness should be verified.

Geography

Singapore.