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Clinical Health Measurements Dataset
Patient Health Records & Digital Health
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About
This dataset provides insights into individuals affected by metabolic syndrome, a complex medical condition linked to a cluster of risk factors for cardiovascular diseases and type 2 diabetes. It includes demographic, clinical, and laboratory measurements, along with an indicator for the presence or absence of metabolic syndrome. This data facilitates understanding and analysis of this significant health condition.
Columns
- seqn: A sequential identification number for each individual.
- Age: The age of the individual in years.
- Sex: The gender of the individual (e.g., Male, Female).
- Marital: The marital status of the individual.
- Income: Information related to the individual's income level.
- Race: The ethnic or racial background of the individual.
- WaistCirc: Measurement of the individual's waist circumference.
- BMI: Body Mass Index, a key measure of body composition.
- Albuminuria: A measurement indicating the presence of albumin in urine.
- UrAlbCr: The urinary albumin-to-creatinine ratio.
- UricAcid: Levels of uric acid in the blood.
- BloodGlucose: Blood glucose levels, serving as an indicator of diabetes risk.
- HDL: High-Density Lipoprotein cholesterol levels, often referred to as "good" cholesterol.
- Triglycerides: Levels of triglycerides in the blood.
- MetabolicSyndrome: A binary variable (1 or 0) indicating whether metabolic syndrome is present.
Distribution
The dataset is provided in CSV (Comma-Separated Values) format. The file name is
metabolic_syndrome_dataset.csv. It contains 15 columns and 2401 rows/records. The file size is approximately 162.89 kB.Usage
This dataset is ideal for various applications, including statistical analysis of health risk factors, research into the prevalence and correlates of metabolic syndrome, and developing predictive models for cardiovascular diseases and type 2 diabetes. It is highly suitable for academic research, public health initiatives, and data science projects focused on health indicators.
Coverage
The dataset's scope encompasses demographic information (age, sex, marital status, income, race), various clinical measurements (waist circumference, BMI, blood glucose, cholesterol levels, uric acid, albuminuria), and the presence or absence of metabolic syndrome. While specific geographic or time range details are not available, the data provides a detailed snapshot of health indicators and risk factors relevant to metabolic syndrome across a diverse set of individuals.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for a broad range of users interested in public health, medical research, and data analysis. Ideal users include:
- Researchers: For studying health patterns, risk factors, and disease prevalence.
- Data Analysts: For identifying correlations and building statistical models.
- Healthcare Professionals: For educational purposes and understanding patient risk profiles.
- Students: For academic projects and learning about real-world health data.
Dataset Name Suggestions
- Metabolic Syndrome Risk Factors
- Health Indicators for Metabolic Syndrome
- Cardiovascular Disease Risk Data
- Type 2 Diabetes Risk Factors
- Clinical Health Measurements Dataset
Attributes
Original Data Source: Clinical Health Measurements Dataset
QUALITY