Dietary Phytochemical Index and Metabolic Markers in 600 Adults with Obesity
by Lingtao Zheng·Updated 1mo ago
119.0 KB1files
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Description
600 adults with obesity (BMI ≥ 30 kg/m²) were evaluated in a cross-sectional study linking dietary phytochemical intake to metabolic health. The dataset likely contains fasting blood measurements for glucose, insulin, HOMA-IR, lipids, CRP, IL-6, TNF-α, LBP, adiponectin, and TMAO. Author Lingtao Zheng published the raw data on figshare in April 2026 under a CC-BY-4.0 license.
Use Cases
Modeling associations between dietary phytochemical intake and insulin resistance based on HOMA-IR values.
Analyzing correlations between the Dietary Phytochemical Index (DPI) and inflammatory markers like CRP and TNF-α.
Investigating the mediating role of TMAO in the relationship between diet and metabolic disturbances.
Building predictive models for metabolic health outcomes using anthropometric and biochemical measurements.
Strengths
Includes data from 600 participants, providing a substantial sample size for analysis.
Contains a wide range of measured variables, including anthropometrics, dietary index, and multiple blood biomarkers.
Data is openly available under a permissive CC-BY-4.0 license.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The cross-sectional study design limits causal inference from the data.
Provenance
Source
figshare
Collection Method
Cross-sectional study using a validated 110-item Food Frequency Questionnaire (FFQ) and blood sample analysis.
Time Range
null
Freshness
Last updated 2026-04-27 17:23:34; freshness should be verified.
Geography
null
The dataset is very small (119.0 KB), indicating limited scope and likely a single spreadsheet file.