Glucose Metabolism and White Matter Hyperintensity Volume in 735 Healthy Adults

735 adult participants without severe neurological or cardiovascular diseases underwent clinical exams, biochemical analysis, and brain MRI. The dataset, from a study by Aleksandra Szum-Jakubowska, presents associations between glucose metabolism disorders and white matter hyperintensity volume. It was last updated on 2026-03-18.

Use Cases

• Train models to predict white matter hyperintensity volume based on plasma glucose and glycated hemoglobin levels.
• Analyze the association between metabolic syndrome and brain MRI findings in a healthy cohort.
• Study the specific impact of combined impaired glucose tolerance and impaired fasting glucose on neurodegeneration markers.

Strengths

• Includes data from 735 participants with detailed clinical and imaging assessments.
• Multivariate analysis model reported an adjusted R-squared of 0.33 for the association studied.
• Published under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 19.9 KB, indicating limited scope, likely containing summary statistics rather than raw participant data.

Provenance

Source

figshare, authored by Aleksandra Szum-Jakubowska.

Collection Method

Data collected during detailed clinical examinations including medical history, biochemical analysis, carotid ultrasound, and brain MRI.

Freshness

Last updated 2026-03-18 05:34:43; freshness should be verified.