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.

Characteristics
Tabular, Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Attribute Type
--
# Instances
253.7k
# Attributes
21

Info

Dataset link: https://www.cdc.gov/brfss/annual_data/annual_2014.html

Introductory Paper

Incidence of End-Stage Renal Disease Attributed to Diabetes Among Persons with Diagnosed Diabetes — United States and Puerto Rico, 2000–2014

By Nilka Rios Burrows, MPH; Israel Hora, PhD; Linda S. Geiss, MA; Edward W. Gregg, PhD; Ann Albright, PhD. 2017

Published in Morbidity and Mortality Weekly Report

Provided by
University of California, Irvine

Creators
DOI

10.24432/C53919

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Features

Attribute Name Role Type Demographic Description Units 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