Data dictionary: CDC Diabetes Health Indicators

The Diabetes Health Indicators Dataset contains healthcare statistics and lifestyle survey information about people in general along with their diagnosis of diabetes. The 35 features consist of some demographics, lab test results, and answers to survey questions for each patient. The target variable for classification is whether a patient has diabetes, is pre-diabetic, or healthy.

Dataset contains three files:

diabetes_binary_5050split_health_indicators_BRFSS2015.csv.gz (70,693 rows)
diabetes_binary_health_indicators_BRFSS2015.csv.gz (253,680 rows)
diabetes_012_health_indicators_BRFSS2015.csv.gz (253,680 rows, Diabetes: 3 classes, 0=no diabetes, 1=prediabetes, 2=diabetes)

Each file contains 23 variables

Variable Name	Role	Type	Demographic	Description	Missing Values
ID	ID	Integer		Patient ID	no
Diabetes_binary	Target	Binary		0 = no diabetes 1 = prediabetes or diabetes	no
HighBP	Feature	Binary		0 = no high BP 1 = high BP	no
HighChol	Feature	Binary		0 = no high cholesterol 1 = high cholesterol	no
CholCheck	Feature	Binary		0 = no cholesterol check in 5 years 1 = yes cholesterol check in 5 years	no
BMI	Feature	Integer		Body Mass Index	no
Smoker	Feature	Binary		Have you smoked at least 100 cigarettes in your entire life? [Note: 5 packs = 100 cigarettes] 0 = no 1 = yes	no
Stroke	Feature	Binary		(Ever told) you had a stroke. 0 = no 1 = yes	no
HeartDiseaseorAttack	Feature	Binary		coronary heart disease (CHD) or myocardial infarction (MI) 0 = no 1 = yes	no
PhysActivity	Feature	Binary		physical activity in past 30 days - not including job 0 = no 1 = yes	no
Fruits	Feature	Binary		Consume Fruit 1 or more times per day 0 = no 1 = yes	no
Veggies	Feature	Binary		Consume Vegetables 1 or more times per day 0 = no 1 = yes	no
HvyAlcoholConsump	Feature	Binary		Heavy drinkers (adult men having more than 14 drinks per week and adult women having more than 7 drinks per week) 0 = no 1 = yes	no
AnyHealthcare	Feature	Binary		Have any kind of health care coverage, including health insurance, prepaid plans such as HMO, etc. 0 = no 1 = yes	no
NoDocbcCost	Feature	Binary		Was there a time in the past 12 months when you needed to see a doctor but could not because of cost? 0 = no 1 = yes	no
GenHlth	Feature	Integer		Would you say that in general your health is: scale 1-5 1 = excellent 2 = very good 3 = good 4 = fair 5 = poor	no
MentHlth	Feature	Integer		Now thinking about your mental health, which includes stress, depression, and problems with emotions, for how many days during the past 30 days was your mental health not good? scale 1-30 days	no
PhysHlth	Feature	Integer		Now thinking about your physical health, which includes physical illness and injury, for how many days during the past 30 days was your physical health not good? scale 1-30 days	no
DiffWalk	Feature	Binary		Do you have serious difficulty walking or climbing stairs? 0 = no 1 = yes	no
Sex	Feature	Binary	Sex	0 = female 1 = male	no
Age	Feature	Integer	Age	13-level age category (_AGEG5YR see codebook) 1 = 18-24 9 = 60-64 13 = 80 or older	no
Education	Feature	Integer	Education Level	Education level (EDUCA see codebook) scale 1-6 1 = Never attended school or only kindergarten 2 = Grades 1 through 8 (Elementary) 3 = Grades 9 through 11 (Some high school) 4 = Grade 12 or GED (High school graduate) 5 = College 1 year to 3 years (Some college or technical school) 6 = College 4 years or more (College graduate)	no
Income	Feature	Integer	Income	Income scale (INCOME2 see codebook) scale 1-8 1 = less than $10,000 5 = less than $35,000 8 = $75,000 or more	no

Dataset is available at https://archive.ics.uci.edu/dataset/891/cdc+diabetes+health+indicators.