Table 1 Regression model variables used to predict cigarette smoking status
Variable type | Variable categories |
|---|---|
State tax rate for a pack of 20 cigarettes | Not applicable |
Residential environment | City |
Suburb | |
Rural | |
Race/ethnicity | White |
Black/African American | |
American Indian/Alaskan Native | |
Asian and Native Hawaiian/Pacific Islander | |
Hispanic | |
Other/multiracial | |
Age | 18–24 |
25–49 | |
50–59 | |
60–79 | |
80 or above | |
Reported household income | < $10 k |
$10,001–$15 k | |
$15,001–$20 k | |
≥ $20,001 | |
A variable that combines gender, marital status, and presence of children (to match the HUD dataset variable) | Two spouses/married/with children |
Two spouses/married/no children | |
Female/not married/with children | |
Female/not married/no children | |
Male/not married/with children | |
Male/not married/no children | |
A variable that combines age and disability status (to match the HUD dataset variable) | Age < 65 with disability |
Age < 65 no disability | |
Age > 65 with disability | |
Age > 65 no disability |