Glycemic and Lipid Profiles by Dietary Phytochemical Quartiles in 600 Obese Adults

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, and inflammatory markers like CRP and TMAO. Author Lingtao Zheng published the 5.5 KB Excel file on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Analyze associations between dietary phytochemical intake and insulin resistance based on HOMA-IR values.
• Investigate correlations between the Dietary Phytochemical Index and systemic inflammation based on CRP, IL-6, and TNF-α concentrations.
• Model the relationship between phytochemical-rich diets and gut microbiota-related markers based on TMAO levels.
• Examine the link between diet and adiposity markers based on BMI, waist circumference, and fat mass measurements.

Strengths

• Includes data from 600 adult participants with obesity, providing a substantive sample size.
• Contains a range of validated clinical measurements, including glycemic, lipid, and inflammatory markers.
• Dietary intake was assessed using a validated 110-item food frequency questionnaire.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The cross-sectional design, noted in the description, limits causal inference.

Provenance

Source

figshare, author Lingtao Zheng.

Collection Method

Cross-sectional study with dietary assessment via FFQ and analysis of fasting blood samples.

Time Range

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Freshness

Last updated 2026-04 27 17:23:38; freshness should be verified.

Geography

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