Dietary Amino Acids and Obesity in Chinese Children, 2016-2019

12,542 school-aged participants from the 2016–2019 China Children and Lactating Women Nutrition and Health Surveillance provide data on branched-chain amino acid intake and obesity metrics. The study found a positive association, with the highest tertile of intake linked to a 52% higher risk of general obesity. Machine learning analyses identified leucine as the most influential component for predicting obesity risk.

Use Cases

• Investigating dose-response relationships between nutrient intake and health outcomes based on restricted cubic spline analyses.
• Training predictive models for obesity risk based on dietary and demographic features mentioned in the description.
• Conducting subgroup analyses to identify population-specific risk factors, such as the stronger association observed in males for central obesity.

Strengths

• Data is from a nationally representative surveillance program with 12,542 participants.
• Analysis includes multiple statistical methods: multivariable logistic regression, restricted cubic spline, and machine learning models.
• Results are quantified with specific odds ratios and confidence intervals, such as OR=1.52 for general obesity.

Limitations

• The dataset is very small at 73.0 KB, suggesting limited raw data or a summary document.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

2016–2019 China Children and Lactating Women Nutrition and Health Surveillance.

Collection Method

Cross-sectional study using a food-frequency questionnaire and weighed condiment inventory.

Time Range

2016-2019

Freshness

Last updated 2026-05-21 14:46:23; freshness should be verified.

Geography

China