Ultra-Processed Food Consumption and Cognitive Status in Elderly Patients

A cross-sectional study of 92 elderly participants assessed dietary intake via a food frequency questionnaire and cognitive function via MMSE and MoCA tests. The dataset includes plasma concentrations of inflammatory biomarkers TGF-β1 and TNF-α, categorized using the NOVA food classification system. It was authored by Margherita Grasso and last updated on June 2, 2026.

Use Cases

• Train a classification model to predict Mild Cognitive Impairment (MCI) status based on dietary patterns.
• Analyze correlations between ultra-processed food consumption and levels of inflammatory biomarkers like TGF-β and TNF-α.
• Conduct statistical modeling to assess the mediating role of inflammation in the diet-cognition relationship.

Strengths

• Data from 92 participants with validated dietary and clinical assessments.
• Includes multiple cognitive evaluation tools (MMSE and MoCA) and measured inflammatory biomarkers.
• Food items are categorized using the standardized NOVA classification system.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small at 76.2 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Cross-sectional study using food frequency questionnaires, blood tests, and neuropsychological evaluations.

Freshness

Last updated 2026-06-02 14:13:37; freshness should be verified.