Metabolic Syndrome Dataset 🩸💼

Welcome to the Metabolic Syndrome Dataset! 🎉 This dataset contains information on individuals with metabolic syndrome, a complex medical condition associated with a cluster of risk factors for cardiovascular diseases and type 2 diabetes.

• Metabolic Syndrome

Context 📋

Metabolic syndrome is characterized by a combination of factors, including high blood pressure, high blood sugar, excess body fat around the waist, and abnormal cholesterol or triglyceride levels. This dataset includes demographic, clinical, and laboratory measurements, as well as the presence or absence of metabolic syndrome.

Column Descriptors 📝

The dataset includes the following columns:

1. seqn: Sequential identification number.
2. Age: Age of the individual.
3. Sex: Gender of the individual (Male, Female).
4. Marital: Marital status of the individual.
5. Income: Income level or income-related information.
6. Race: Ethnic or racial background of the individual.
7. WaistCirc: Waist circumference measurement.
8. BMI: Body Mass Index, a measure of body composition.
9. Albuminuria: Measurement related to albumin in urine.
10. UrAlbCr: Urinary albumin-to-creatinine ratio.
11. UricAcid: Uric acid levels in the blood.
12. BloodGlucose: Blood glucose levels, an indicator of diabetes risk.
13. HDL: High-Density Lipoprotein cholesterol levels (the "good" cholesterol).
14. Triglycerides: Triglyceride levels in the blood.
15. MetabolicSyndrome: Binary variable indicating the presence (1) or absence (0) of metabolic syndrome.