Abstract
This is a subset of the data from two Supplements to the Current Population Survey conducted by the U.S. Census Bureau. Soulakova and Crockett (2023) investigated the joint role of race/ethnicity and health insurance coverage and their relationship to current smoking among adults in the United States. The data in this subset (n=39,882) represent six racial/ethnic groups, in addition to several other factors including demographic and socioeconomic characteristics such as age, biological sex, highest level of education, disability status, and health insurance coverage (Private, Medicare, and Medicaid). Because the source data were collected using a multi-stage sampling design, it is recommended that statistical analyses utilize the survey weights including the main weight and 160 replicate weights included in the dataset (total weight, N=218,443,483). The data are clean and there are no missing values.
| Study Design | Topic | Statistical Method | Statistical Method | Statistical Method |
|---|---|---|---|---|
| Complex Survey | Smoking | Description | Hypothesis Testing | Logistic Regression |
Contributor
The Smoking Prevalence dataset was contributed by Dr. Julia Soulakova, Professor, Department of Population Health Sciences, College of Medicine, University of Central Florida. Please refer to this resource as: Soulakova J. “Smoking Prevalence”, TSHS Resources Portal (2024). Available at https://www.causeweb.org/tshs/smoking-prevalence/.
Background
It is well known that substance use, in particular smoking, leads to adverse health outcomes and poses many public health challenges. With respect to smoking, type of health insurance coverage is an established correlate, making the clinical encounter a potential opportunity for smoking cessation counseling. Less well understood, however, is the joint role of race/ethnicity and health insurance coverage in smoking behaviors. If the association of health insurance coverage and current smoking is different for distinct race/ethnicity populations (effect modification), the implication is that, within the same health insurance plan, some racial/ethnic groups may be benefitting less from counseling and require additional interventions.
Objective
The goal of this study was to identify variations among six (6) racial/ethnic populations in the association between type of health insurance coverage (Private, Medicare, Medicaid) and smoking (defined as the binary outcome “current smoking status” among U.S. adults 18+ years old), overall and after adjustment for selected covariates (e.g., biological sex, age, employment, marital status, and disability status). Soulakova and Crockett (2023) hypothesized that even after adjusting for other factors that may influence smoking behaviors among adults, the relationship between health insurance coverage type and current cigarette use is different depending on race/ethnicity.
Subjects & Variables
| Subject | # Obs | # Var | Introduction | Data Dictionary |
|---|---|---|---|---|
| Smoking Prevalence | 39,882 | 13 study variables plus 161 survey weight variables, including one main weight and 160 replicate weight variables | Smoking Data Introduction | Smoking Data Dictionary |
Data Downloads
| Posting Date | Contributor (email) |
|---|---|
| 8/5/24 | Julia N. Soulakova (Julia.Soulakova@ucf.edu) |
| R | SAS | STATA | SPSS | Minitab | Excel |
|---|---|---|---|---|---|
| Smoking Prevalence-R | Smoking Prevalence-SAS | Smoking Prevalence-Stata | Smoking Prevalence-SPSS | Smoking Prevalence-Minitab | Smoking Prevalence-Excel |
Teaching Resources
last updated on 8/5/2024
| # | Name (link) | Posting Date | Author (email) | Type | Statistical Topic | Level | Keywords |
|---|---|---|---|---|---|---|---|
| – | – | – | – | – | – | – | – |