Beef Intake and Triglyceride Levels in U.S. and Chinese Adult Populations

Ziyu Yi's research dataset integrates cross-sectional data from the U.S. NHANES (2007–2018) and a 2024 Chinese health project. It contains data on 4,108 adults to analyze the association between beef consumption and triglyceride levels, employing multivariable regression and Mendelian randomization. The dataset was last updated in May 2026.

Use Cases

• Conduct cross-sectional analysis of diet and blood lipid associations based on beef intake and triglyceride level variables.
• Perform Mendelian randomization analysis to infer potential causal links between genetically predicted beef intake and hypertriglyceridemia risk.
• Explore nonlinear dose-response relationships between red meat consumption and cardiometabolic risk factors.
• Compare associations between dietary factors and health outcomes across U.S. and Chinese adult populations.

Strengths

• Integrates data from two distinct populations totaling 4,108 adult participants.
• Applies multiple analytical methods, including multivariable regression and Mendelian randomization, as described.
• Data is licensed under CC-BY-4.0, allowing for broad 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 small (1.2 MB), which may indicate limited scope or number of variables.

Provenance

Source

National Health and Nutrition Examination Survey (NHANES) and the 'Comprehensive Health Check-up Project' in Urumqi, China.

Collection Method

Data integration for cross-sectional analysis and two-sample Mendelian randomization.

Time Range

NHANES data from 2007–2018; Chinese data from a 2024 project.

Freshness

Last updated 2026-05-14 04:21:57; freshness should be verified.

Geography

United States and Urumqi, China.