Abstract
This is a subset of the Framingham Heart Study of the factors related to cardiovascular disease development. Data are measurements of 9 variables on 4,699 initially disease-free subjects measured at baseline. Blood pressure, gender, age, BMI, and serum cholesterol are available for use in predicting the development of heart disease using a time-to-event model (followup time and a dichotomized outcome are included).
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| Study Design | Topic | Statistical Method | Statistical Method | Statistical Method |
|---|---|---|---|---|
| Prospective Cohort | Cardiovascular Disease | Description | Multiple Linear Regression | Logistic Regression |
Contributor
The Framingham Didactic dataset was contributed by Dr. Amy Nowacki, Associate Professor, Cleveland Clinic. Please refer to this resource as: Amy S. Nowacki, “Framingham Didactic Dataset”, TSHS Resources Portal (2015). Available at https://www.causeweb.org/tshs/framingham-didactic/.
Background
Cardiovascular disease (CVD) is the leading cause of death and serious illness in the United States. In 1948, the Framingham Heart Study – under the direction of the National Heart Institute (now known as the Nation Heart, Lung, and Blood Institute or NHLBI) – embarked on an ambitious project in health research. At the time, little was known about the general causes of heart disease and stroke, but the death rates for CVD had been increasing steadily since the beginning of the century and had become an American epidemic. The Framingham Heart Study became a joint project of the National Heart, Lung and Blood Institute and Boston University.
Objective
The objective of the Framingham Heart Study was to identify the common factors or characteristics that contribute to CVD by following its development over a long period of time in a large group of participants who had not yet developed overt symptoms of CVD or suffered a heart attack or stroke. The researchers recruited 5,209 men and women between the ages of 30 and 62 from the town of Framingham, Massachusetts, and began the first round of extensive physical examinations and lifestyle interviews that they would later analyze for common patterns related to CVD development. Since 1948, the subjects have continued to return to the study every two years for a detailed medical history, physical examination, and laboratory tests, and in 1971, the study enrolled a second generation – 5,214 of the original participants’ adult children and their spouses – to participate in similar examinations. In April 2002 the Study entered a new phase: the enrollment of a third generation of participants, the grandchildren of the original cohort. This step is of vital importance to increase our understanding of heart disease and stroke and how these conditions affect families. Over the years, careful monitoring of the Framingham Study population has lead to the identification of the major CVD risk factors – high blood pressure, high blood cholesterol, smoking, obesity, diabetes, and physical inactivity – as well as a great deal of valuable information on the effects of related factors such as blood triglyceride and HDL cholesterol levels, age, gender, and psychosocial issues. With the help of another generation of participants, the Study may close in on the root causes of cardiovascular disease and help in the development of new and better ways to prevent, diagnose and treat cardiovascular disease.
Subjects & Variables
| Subject | # Obs | # Var | Introduction | Data Dictionary |
|---|---|---|---|---|
| Framingham – cardiovascular disease | 4699 | 9 | Framingham-introduction | Framingham-data dictionary |
Downloads
| Posting Date | Contributor |
|---|---|
| 07/29/15 | Amy Nowacki (nowacka@ccf.org) |
| R | SAS | STATA | SPSS | Minitab | Excel |
|---|---|---|---|---|---|
| Framingham-R | Framingham-SAS | Framingham-Stata | Framingham-SPSS | Framingham-Minitab | Framingham-Excel |
Teaching Resources
last updated on 7/29/2015
| # | Name (link) | Posting Date | Author (email) | Type | Statistical Topic | Level | Keywords |
|---|---|---|---|---|---|---|---|
| 1 | [restrict userlevel=”subscriber”]Resource 01[/restrict] | 07/29/15 | Amy Nowacki (nowacka@ccf.org) | Project/HW/Lab | Description | Introductory | Basic description |
| 2 | [restrict userlevel=”subscriber”]Resource 02[/restrict] | 07/30/15 | Amy Nowacki (nowacka@ccf.org) | Lecture/Slides | Inference | Introductory | Correlation |