Diabetes Mexico is a diabetes dataset released by the National Institute of Public Health (INSP) of Mexico. It is based on data from the 2024 National Health and Nutrition Examination Survey (ENSANUT) and aims to assess the metabolic risk characteristics associated with diabetes in the Mexican population.

This dataset contains sociodemographic, anthropometric, and biochemical information of Mexican individuals. The main variables include survey identifiers, gender, age, city of residence, and physical indicators such as weight, height, and body mass index (BMI). It also includes relevant biochemical indicators such as uric acid, albumin, creatinine, total cholesterol, HDL/LDL cholesterol, triglycerides, serum glucose, insulin, and glycated hemoglobin (HbA1c).

Data Fields:

• folio_iFamily Unique Identifier
• folio_intPersonal unique identifier
• sexoPersonal gender (1 = male, 2 = female)
• edadIndividual age (in years)
• riesgo_diabetes_catBased on the American Diabetes Association (ADA) clinical criteria for diabetes risk classification, diabetes is categorized into low-risk, intermediate-risk, and high-risk.