Diabetes {ROCit} | R Documentation |
Diabetes Data
Description
These data are courtesy of Dr John Schorling, Department of Medicine, University of Virginia School of Medicine.
The data contains information on 403 subjects from 1046 subjects who were interviewed in a study to understand the prevalence of obesity, diabetes, and other cardiovascular risk factors in central Virginia for African Americans. According to Dr John Hong, Diabetes Mellitus Type II (adult onset diabetes) is associated most strongly with obesity. The waist/hip ratio may be a predictor in diabetes and heart disease. DM II is also associated with hypertension - they may both be part of "Syndrome X". The 403 subjects were the ones who were actually screened for diabetes. Glycosylated hemoglobin > 7.0 is usually taken as a positive diagnosis of diabetes.
Usage
Diabetes
Format
A data frame with 403 rows and 22 variables (See "Note"):
- id
Subject id
- chol
Total cholesterol
- stab.glu
Stabilized glucose
- hdl
High density lipoprotein
- ratio
Cholesterol/hdl ratio
- glyhb
Glycosylated hemoglobin
- location
A factor with levels
Buckingham
andLouisa
- age
Age (years)
- gender
Gender,
male
orfemale
- height
Height (inches)
- weight
Weight (pounds)
- frame
A factor with levels
small
,medium
andlarge
- bp.1s
First systolic blood pressure
- bp.1d
First diastolic blood pressure
- bp.2s
Second systolic blood pressure
- bp.2d
Second diastolic blood pressure
- waist
Waist (inches)
- hip
Hip (inches)
- time.ppn
Postprandial time when labs were drawn in minutes
- bmi
Body mass index
- dtest
An indicator whether
glyhb
is greater than 7 or not- whr
Waist to hip ratio
Note
The last three variables (bmi
, dtest
, whr
)
were created. For bmi
, following formula was used:
bmi = 703 * (weight_lbs) / (height_inches)^2
Source
staff.pubhealth.ku.dk/~tag/Teaching/share/data/Diabetes.html#sec-2
References
Willems, James P., J. Terry Saunders, Dawn E. Hunt, and John B. Schorling. "Prevalence of coronary heart disease risk factors among rural blacks: a community-based study." Southern medical journal 90, no. 8 (1997): 814-820.
Schorling, John B., Julienne Roach, Marjorie Siegel, Natalie Baturka, Dawn E. Hunt, Thomas M. Guterbock, and Herbert L. Stewart. "A trial of church-based smoking cessation interventions for rural African Americans." Preventive Medicine 26, no. 1 (1997): 92-101.
Examples
data("Diabetes")
plot(Diabetes$hdl~Diabetes$weight, pch = 16,
col =ifelse(Diabetes$gender=="male",1,2))
#------------------------------------------
## density plot
femaleBMI <- density(subset(Diabetes, gender == "female")$bmi, na.rm = TRUE)
maleBMI <- density(subset(Diabetes, gender == "male")$bmi, na.rm = TRUE)
## -------
plot(NULL, ylim = c(0,0.08), xlim = c(10,60),
xlab = "BMI", ylab = "Density", main = "")
grid(col = 1)
polygon(maleBMI, col = rgb(0,0,1,0.2), border = 4)
polygon(femaleBMI, col = rgb(1,0,0,0.2), border = 2)
abline(h = 0)
legend("topright", c("Male", "Female"), pch = 15,
col = c(rgb(0,0,1,0.2), rgb(1,0,0,0.2)), bty = "n")
#------------------------------------------
logistic.model <- glm(as.factor(dtest)~chol+age+bmi,
data = Diabetes,family = "binomial")
summary(logistic.model)
#------------------------------------------
class <- logistic.model$y
score <- logistic.model$fitted.values
rocit_object <- rocit(score = score, class = class)
summary(rocit_object)
plot(rocit_object)