A clinical dataset from a Spanish population with subjective adverse food reactions. It correlates symptomatology, body composition, physical activity, and food-specific IgG4 antibody titers for over 40 food antigens. The dataset was authored by Pantoja-Arévalo and last updated in May 2024.
Use Cases
- Correlating IgG4 antibody titers against specific foods with reported symptoms like skin, digestive, or nervous system issues.
- Analyzing relationships between body composition metrics (e.g., fat mass, metabolic age) and food intolerance symptomatology.
- Investigating the association between physical activity levels and the severity or presentation of adverse food reactions.
- Identifying potential antigen patterns or clusters from the panel of over 40 tested foods.
Strengths
- Includes a detailed panel of over 40 food antigens with measured IgG4 antibody titers.
- Contains a multi-faceted set of variables covering symptoms, body composition, and physical activity.
- Data is linked to a registered clinical trial protocol (NCT05681975), providing methodological context.
Limitations
- Row count and file format are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset focuses on a specific Spanish population, which may limit generalizability.
Provenance
- Source
- Pantoja-Arévalo, Lisset via e-cienciaDatos Harvested Dataverse
- Collection Method
- Clinical study protocol registered at clinicaltrials.gov (NCT05681975).
- Time Range
- null
- Freshness
- Last updated 2024-05-05 06:18:34; freshness should be verified.
- Geography
- Spanish adult population