Hypertension Risk Indicators from Mexican Nutrition Survey

Processed data from the ENSANUT Continua 2022 survey enables analysis of hypertension risk factors in Mexican adults. Hector Alejandro Acuna-Cid enriched food records using the Mexican System of Equivalent Foods to standardize macronutrient and caloric intake estimates. The 117.6 KB dataset is structured for statistical and machine learning applications.

Use Cases

• Classify hypertension risk using blood pressure readings, protein intake, carbohydrate intake, and lipid intake as predictive features.
• Analyze correlations between total caloric consumption and blood pressure levels across different demographic groups.
• Build regression models to estimate systolic or diastolic blood pressure from a combination of macronutrient variables and lifestyle factors.
• Identify nutritional patterns associated with elevated hypertension risk within the Mexican adult population.

Strengths

• Data is processed and structured specifically for modeling, with variables cleaned and categorized.
• Derived from the authoritative ENSANUT Continua 2022 national health and nutrition survey.
• Enriched using the standardized Mexican System of Equivalent Foods framework for precise nutrient estimation.

Limitations

• The dataset is very small at 117.6 KB, indicating a limited sample size or number of variables.
• Temporal coverage is limited to a single survey wave from 2022, lacking longitudinal depth.
• Geographic scope is restricted to Mexico, limiting generalizability to other populations.

Provenance

Source

ENSANUT Continua 2022 survey records.

Collection Method

Survey records processed and enriched using the digital Mexican System of Equivalent Foods (SMAE), 5th edition.

Time Range

2022

Freshness

Data is from the 2022 survey, processed and published in 2026.

Geography

Mexico