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Coronary Risk Factor Study Data
Patient Health Records & Digital Health
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About
Heart disease (CHD) in South Africa, gathered from a 1983 study. It aims to investigate the determinant risk factors that contribute to cardiovascular sickness, specifically myocardial infarction (heart attack). Understanding these risk factors is crucial for informing pre-treatment strategies and promoting lifestyle adjustments to mitigate future health complications. The data provides insights into indicators associated with an individual's risk of developing heart disease.
Columns
- sbp: Records the systolic blood pressure measurements.
- tobacco: Represents the cumulative tobacco consumption in kilograms.
- ldl: Details the low-density lipoprotein cholesterol level.
- adiposity: Indicates severe overweight, provided as a numeric vector.
- famhist: Denotes family history of heart disease, with 'Absent' or 'Present' as categories.
- typea: Measures Type-A behaviour.
- obesity: Quantifies excessive fat accumulation, presented as a numeric vector.
- alcohol: Reflects current alcohol consumption.
- age: Specifies the age at the onset of observations.
- chd: The response variable, indicating the presence or absence of coronary heart disease (myocardial infarction).
Distribution
The data is structured as a data frame with 462 observations, featuring 10 distinct variables. It includes 160 individuals who experienced a myocardial infarction and 302 who did not. The dataset is typically provided in a CSV format and contains both numeric and factor-level predictors.
Usage
This dataset is ideal for:
- Developing predictive models to assess an individual's risk of coronary heart disease.
- Investigating the impact of lifestyle factors on cardiovascular health outcomes.
- Supporting public health initiatives aimed at heart disease prevention.
- Informing clinical decision-making regarding patient pre-treatment and lifestyle recommendations.
Coverage
The study focuses exclusively on white males aged 15 to 64 residing in South Africa. The data was collected in 1983, providing a historical snapshot of heart disease risk factors within this specific demographic and time frame. Each observation indicates whether an individual experienced a myocardial infarction at the time of the survey.
License
CC BY-SA 4.0
Who Can Use It
- Medical researchers and epidemiologists studying the aetiology of cardiovascular diseases.
- Public health analysts interested in population-level risk factor assessment and intervention planning.
- Data scientists and machine learning practitioners developing diagnostic or prognostic tools for heart conditions.
- Students and academics in health sciences, statistics, and data analysis seeking real-world case studies.
Dataset Name Suggestions
- South Africa CHD Risk Factors 1983
- SA Heart Disease Predictors
- Coronary Risk Factor Study Data
- Myocardial Infarction Risk Analysis SA
Attributes
Original Data Source: Coronary Risk Factor Study Data
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