State-Specific Prevalence of Tobacco Product Use Among US Women, Tobacco Use Supplement to the Current Population Survey, 2018–2019
RESEARCH BRIEF — Volume 18 — April 15, 2021
Teresa W. Wang, PhD, MS1; Kimp Walton, MPH1; Carolyn Reyes-Guzman, PhD, MPH2; Karen A. Cullen, PhD, MPH3; Ahmed Jamal, MBBS, MPH1 (View author affiliations)
Suggested citation for this article: Wang TW, Walton K, Reyes-Guzman C, Cullen KA, Jamal A. State-Specific Prevalence of Tobacco Product Use Among US Women, Tobacco Use Supplement to the Current Population Survey, 2018–2019. Prev Chronic Dis 2021;18:200547. DOI: http://dx.doi.org/10.5888/pcd18.200547.
PEER REVIEWED
What is already known on this topic?
Tobacco product use among women is associated with substantial morbidity and mortality, including sex-specific health consequences.
What is added by this report?
We found that current use of any tobacco product among women significantly differed by age, race/ethnicity, education level, annual household income, marital status, disability status, and US region.
What are the implications for public health practice?
By state, at least 1 in 15 women currently used some form of tobacco product. Comprehensive tobacco control strategies, including targeted interventions among subgroups with higher rates of use, can prevent and reduce tobacco product use among all women.
Abstract
In this study, we assessed tobacco product use among US women aged 18 years or older using data from the 2018–2019 Tobacco Use Supplement to the Current Population Survey. State-specific current use of any tobacco product (cigarettes, e-cigarettes, cigars, regular pipes, water pipes or hookah, and smokeless tobacco) ranged from 6.6% (California) to 23.1% (West Virginia); current use of 2 or more tobacco products ranged from 0.6% (New York) to 3.0% (Oklahoma). Current tobacco product use among US women differed significantly by age, education, race/ethnicity, household income, marital status, disability status, and US region. Comprehensive tobacco control strategies, including targeted interventions, can reduce tobacco use among all women.
Objective
Tobacco product use among women is associated with substantial morbidity and mortality, including sex-specific health consequences; each year, approximately 202,000 US women die of smoking-related diseases (1–3). Although overall US smoking prevalence is consistently lower among women compared with men, estimates have not declined commensurately among women over time (2). As the tobacco product landscape continues to diversify, data characterizing women’s tobacco product use behaviors can help inform public health policy, planning, and practice. We used data from the 2018–2019 Tobacco Use Supplement to the Current Population Survey (TUS-CPS) to estimate state-specific prevalence and correlates of current tobacco product use among US women.
Methods
Data came from the 2018–2019 TUS-CPS, a cross-sectional, household-based survey of noninstitutionalized US adults aged 18 years or older in the 50 US states and the District of Columbia (DC) (4,5). Using probability-based multi-stage sampling, respondents in the 2018–2019 TUS-CPS were interviewed once either in July 2018, January 2019, or May 2019. Excluding proxy respondents, 137,471 self-respondents completed the interview in-home or by telephone (self-response rate, 57.6%).
We limited our analysis to women (N = 74,983) and applied self-response survey weights. Any tobacco product use was defined as use of at least 1 of the following products: cigarettes, e-cigarettes, cigars, water pipes or hookah, smokeless tobacco (including moist snuff, dip, spit, chew tobacco, snus, or dissolvable tobacco), and regular pipes. Current cigarette smokers were defined as adults who smoked at least 100 cigarettes during their lifetime and smoked “every day” or “some days” at the time of survey administration. For all other products, current use was defined as use one or more times during their lifetime and “every day” or “some days” at the time of survey administration.
State-specific prevalence estimates and 95% CIs were generated for all 50 states and DC for current use of any tobacco product, 2 or more products, and each product. Model-adjusted prevalence ratios (aPRs) with predicted marginals accounting for age, race/ethnicity, education, annual household income, marital status, disability status, and US Census region were calculated for any current tobacco product use, cigarette smoking, and e-cigarette use. Unstable estimates with relative standard errors higher than 30% were suppressed. Analyses were performed using SAS-callable SUDAAN version 11.0.1 (RTI). Standard errors were estimated using the Fay-adjusted Balanced Repeated Replication method. Additional details are available at http://www.cancermeetings.org/TUSCPSWebinar/documents/tuscps_Webinar_Liu.pdf.
Results
State-specific prevalence of any current tobacco product use among women ranged from 6.6% (California) to 23.1% (West Virginia) (Table 1). Current use of 2 or more tobacco products ranged from 0.6% (New York; representing 6.4% of any tobacco product users) to 3.0% (Oklahoma; 15.3% of any tobacco product users). Cigarettes were the most commonly used product among women in all states and DC (range, 5.5% in California to 21.3% in West Virginia), followed by e-cigarettes (range, 1.1% in California and New York to 5.1% in Oklahoma). Current cigar smoking ranged from 0.3% (California) to 1.5% (Oklahoma, Louisiana). Current hookah smoking ranged from 0.4% (California) to 1.7% (DC). All state-specific estimates for smokeless tobacco use and regular pipe smoking either did not meet stable reporting thresholds or had zero respondents report use of the corresponding product.
The adjusted likelihood of any current tobacco product use, current cigarette smoking, and current e-cigarette use among women significantly varied by all examined sociodemographic factors (Table 2). The likelihood of any current tobacco product use was highest among women aged 35 to 44 years (aPR, 1.87; 95% CI, 1.67–2.09) compared with those aged 18 to 24 years, and lowest among Hispanic women (aPR, 0.29; 95% CI, 0.25–0.32) compared with non-Hispanic White women. The likelihood of any current cigarette smoking was highest among women aged 35 to 44 years (aPR, 2.69; 95% CI, 2.33–3.11) compared with women aged 18 to 24 years, and lowest among Hispanics (aPR, 0.26; 95% CI, 0.23–0.30) compared with non-Hispanic Whites as well as women with a college degree or higher (aPR, 0.26; 95% CI, 0.23–0.29) compared with those with less than a high school education. The likelihood of any current e-cigarette use was highest among women who were never married/divorced/widowed (aPR, 1.69; 95% CI, 1.39–2.05) and lowest among women aged ≥65 years compared with those aged 18 to 24 years (aPR, 0.13; 95% CI, 0.10–0.18).
Discussion
This study underscores the heterogeneity of tobacco use patterns among women across multiple tobacco products. Based on state-specific estimates, during 2018–2019, at least 1 in 15 women currently used some form of tobacco product. Multiple social, environmental, and personal factors influence tobacco use among women (1). Consistent with prior research (1,2,6), prevalence was highest among American Indian/Alaska Native women and non-Hispanic women of other races, women with a disability, and those with low annual household income and educational attainment. Moreover, although cigarette smoking among women has declined over time (7), tobacco product use among women across states is still primarily driven by combustible tobacco product use from cigarette smoking.
In alignment with 2019 national findings (8), e-cigarettes were the second most commonly used tobacco product among women. Though our study demonstrates that prevalence of current multiple tobacco product use among women was low overall, others’ examination of the 2018–2019 TUS-CPS data indicate that approximately 7.5% of female current smokers reported current e-cigarette use nationally (9). E-cigarettes have the potential to benefit adult nonpregnant smokers if used as a complete substitute for those unable to quit regular cigarettes or other combustible tobacco products (10). However, evidence to conclude that e-cigarettes, in general, increase smoking cessation is inadequate (10). As the tobacco product landscape continues to evolve, public health messaging efforts can emphasize to women that all tobacco products carry inherent risks and that multiple tobacco product users are at increased risk for nicotine addiction and dependence (2,11).
Our study has limitations. First, tobacco product use among women was self-reported, and corresponding estimates may be subject to response bias or underreporting. Second, small state-specific sample sizes for the use of certain tobacco products led to imprecise estimates that could not be presented. Third, pregnancy status, which could further affect tobacco product use estimates among women of reproductive age, was not identified. Finally, these estimates may differ from those of other national and state-based surveys, due in part to varying survey methods, fielding timelines, and definitions of current use.
Taken together, these data can inform targeted interventions among subgroups of women with higher rates of tobacco product use, as well as the regulation of tobacco products in coordination with comprehensive, evidence-based, population-based strategies (2,9,12) to prevent and reduce the burden of tobacco product use among all women.
Acknowledgments
The authors thank Michèle Bonhomme, Food and Drug Administration, and Dana Chomenko and Megan Keil, National Cancer Institute, for their assistance during the drafting stages. This research was conducted via interagency collaboration and no funding was received. The authors have no financial disclosures or conflicts of interest to report.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention, the National Cancer Institute, or the Food and Drug Administration. No copyrighted materials or tools were used in this research.
Author Information
Corresponding Author: Teresa Wang, PhD, MS, Office on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy, MS S107-7, Atlanta, GA 30341. Telephone: 770-488-7818. E-mail: yxn7@cdc.gov.
Author Affiliations: 1Office on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia. 2Tobacco Control Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland. 3Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland.
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Tables
State | Any Tobacco Producta,b | ≥2 Tobacco Productsc | Cigarettesd | E-cigarettese |
---|---|---|---|---|
% (95% CI) | % (95% CI) | % (95% CI) | % (95% CI) | |
National | 11.6 (11.3–11.9) | 1.1 (1.0–1.2) | 10.0 (9.7–10.3) | 1.8 (1.7–1.9) |
Alabama | 15.0 (12.8–17.5) | 1.6 (0.9–2.8) | 13.5 (11.6–15.7) | 2.0 (1.2–3.3) |
Alaska | 13.9 (11.4–16.9) | –f | 12.7 (10.5–15.2) | –f |
Arizona | 10.0 (8.3–12.1) | 1.6 (1.0–2.6) | 8.3 (6.8–10.1) | 2.1 (1.3–3.6) |
Arkansas | 15.1 (12.8–17.8) | 2.0 (1.1–3.5) | 13.7 (11.4–16.3) | 2.2 (1.4–3.5) |
California | 6.6 (5.9–7.3) | 0.7 (0.5–1.0) | 5.5 (4.9–6.1) | 1.1 (0.8–1.5) |
Colorado | 8.8 (6.9–11.3) | –f | 7.3 (5.4–9.7) | 1.9 (1.1–3.3) |
Connecticut | 9.5 (7.1–12.6) | –f | 7.5 (5.4–10.5) | –f |
Delaware | 9.5 (7.3–12.5) | –f | 8.5 (6.5–11.1) | –f |
District of Columbia | 11.0 (9.4–12.9) | –f | 9.1 (7.6–10.8) | –f |
Florida | 10.4 (9.2–11.7) | 1.2 (0.8–1.7) | 8.9 (7.8–10.0) | 1.5 (1.0–2.1) |
Georgia | 12.7 (11.3–14.2) | 0.9 (0.5–1.5) | 10.7 (9.5–12.1) | 1.3 (0.9–1.9) |
Hawaii | 8.8 (6.7–11.6) | –f | 8.3 (6.2–11.0) | –f |
Idaho | 11.3 (9.3–13.7) | –f | 9.9 (7.9–12.2) | 2.0 (1.4–3.0) |
Illinois | 11.9 (10.1–14.0) | 1.1 (0.7–1.8) | 10.6 (8.8–12.6) | 2.0 (1.4–2.8) |
Indiana | 14.9 (12.8–17.4) | 1.3 (0.8–2.1) | 12.9 (10.7–15.6) | 2.6 (1.8–3.7) |
Iowa | 16.3 (13.1–20.0) | 1.9 (1.1–3.2) | 14.8 (11.9–18.3) | 2.8 (1.9–4.1) |
Kansas | 14.7 (11.9–17.9) | –f | 12.5 (10.0–15.4) | –f |
Kentucky | 18.7 (16.4–21.2) | 1.7 (1.0–2.7) | 16.1 (14.0–18.5) | 3.1 (2.0–4.8) |
Louisiana | 14.4 (12.6–16.4) | 1.2 (0.8–2.0) | 13.4 (11.7–15.3) | –f |
Maine | 15.8 (13.4–18.6) | 2.6 (1.6–4.3) | 14.2 (12.1–16.7) | 2.8 (1.6–4.9) |
Maryland | 11.5 (9.3–14.1) | –f | 8.7 (7.0–10.9) | 2.1 (1.3–3.6) |
Massachusetts | 9.6 (7.9–11.6) | 0.9 (0.5–1.5) | 8.4 (6.9–10.3) | 1.7 (1.1–2.8) |
Michigan | 14.2 (12.3–16.3) | –f | 12.7 (11.1–14.6) | 1.2 (0.6–2.1) |
Minnesota | 11.9 (9.5–14.7) | –f | 10.5 (8.4–13.0) | 1.6 (1.0–2.7) |
Mississippi | 15.4 (13.8–17.1) | 1.5 (0.8–2.5) | 14.1 (12.7–15.6) | –f |
Missouri | 16.4 (14.1–19.0) | 1.9 (1.1–3.3) | 13.7 (11.5–16.3) | 3.1 (2.1–4.6) |
Montana | 16.2 (14.2–18.5) | –f | 14.4 (12.6–16.5) | 2.0 (1.2–3.2) |
Nebraska | 15.7 (13.4–18.5) | 1.4 (0.8–2.5) | 13.8 (11.3–16.7) | 2.2 (1.4–3.5) |
Nevada | 12.1 (10.2–14.3) | 1.2 (0.7–2.1) | 10.7 (8.8–13.0) | –f |
New Hampshire | 14.3 (11.7–17.5) | –f | 11.9 (9.8–14.4) | –f |
New Jersey | 9.2 (7.5–11.2) | –f | 6.9 (5.6–8.5) | 2.4 (1.5–3.7) |
New Mexico | 11.2 (9.3–13.5) | –f | 10.0 (8.1–12.3) | 1.3 (0.8–2.2) |
New York | 9.9 (8.8–11.1) | 0.6 (0.4–1.1) | 8.5 (7.6–9.6) | 1.1 (0.7–1.6) |
North Carolina | 13.5 (11.5–15.7) | 1.4 (1.0–1.9) | 11.7 (9.9–13.7) | 2.0 (1.6–2.6) |
North Dakota | 15.9 (13.0–19.3) | –f | 14.4 (11.9–17.5) | –f |
Ohio | 16.9 (15.2–18.8) | 1.8 (1.2–2.5) | 14.7 (12.9–16.5) | 2.7 (2.0–3.6) |
Oklahoma | 19.7 (17.0–22.7) | 3.0 (2.0–4.4) | 15.3 (12.8–18.2) | 5.1 (3.7–7.0) |
Oregon | 13.2 (10.9–15.9) | 1.5 (0.9–2.5) | 10.8 (8.8–13.2) | 2.7 (1.7–4.2) |
Pennsylvania | 15.3 (13.8–17.1) | 1.7 (1.1–2.6) | 13.9 (12.3–15.6) | 2.2 (1.6–3.0) |
Rhode Island | 12.2 (9.6–15.4) | –f | 10.1 (7.9–12.9) | –f |
South Carolina | 11.6 (9.5–14.0) | –f | 10.4 (8.4–12.9) | 1.6 (1.0–2.7) |
South Dakota | 16.0 (13.8–18.5) | –f | 13.8 (11.4–16.6) | 3.2 (1.8–5.4) |
Tennessee | 15.2 (13.4–17.3) | 0.7 (0.4–1.2) | 13.8 (12.1–15.6) | 1.4 (0.9–2.2) |
Texas | 8.4 (7.5–9.4) | 0.8 (0.6–1.1) | 6.7 (5.9–7.6) | 1.8 (1.4–2.3) |
Utah | 7.3 (5.0–10.7) | –f | 5.8 (3.8–8.6) | 1.7 (1.0–3.0) |
Vermont | 11.5 (9.4–14.1) | –f | 10.0 (8.0–12.3) | 1.7 (1.0–3.0) |
Virginia | 9.9 (7.8–12.5) | 1.2 (0.7–2.1) | 8.5 (6.6–10.9) | 1.8 (1.2–2.8) |
Washington | 10.7 (9.0–12.6) | 1.0 (0.5–1.7) | 9.3 (7.8–11.1) | 1.6 (1.0–2.6) |
West Virginia | 23.1 (19.2–27.6) | 2.4 (1.6–3.4) | 21.3 (17.7–25.3) | 3.2 (2.2–4.6) |
Wisconsin | 14.8 (12.8–17.1) | –f | 13.1 (11.1–15.4) | 2.5 (1.5–4.1) |
Wyoming | 16.0 (13.1–19.3) | 1.2 (0.7–2.2) | 12.5 (10.2–15.2) | 3.4 (2.1–5.4) |
Characteristic | Current Any Tobacco Product Use |
Current Cigarette Smoking |
Current E-Cigarette Use |
|||
---|---|---|---|---|---|---|
Weighted % (95% CI) | aPRb (95% CI) | Weighted % (95% CI) | aPRb (95% CI) | Weighted % (95% CI) | aPRb (95% CI) | |
Overall | 11.6 (11.3–11.9) | — | 10.0 (9.7–10.3) | — | 1.8 (1.7–1.9) | — |
Age, y | ||||||
18–24 | 10.0 (9.0–11.2) | 1 [Reference] | 6.1 (5.3–7.1) | 1 [Reference] | 3.9 (3.3–4.5) | 1 [Reference] |
25–34 | 12.9 (12.2–13.5) | 1.76 (1.58–1.97) | 10.3 (9.6–10.9) | 2.32 (2.01–2.69) | 2.6 (2.2–2.9) | 0.96 (0.79–1.17) |
35–44 | 12.5 (11.9–13.2) | 1.87 (1.67–2.09) | 11.0 (10.4–11.6) | 2.69 (2.33–3.11) | 1.8 (1.5–2.0) | 0.74 (0.60–0.92) |
45–64 | 14.3 (13.8–14.8) | 1.68 (1.49–1.89) | 13.2 (12.7–13.6) | 2.50 (2.16–2.90) | 1.6 (1.4–1.8) | 0.50 (0.40–0.63) |
≥65 | 6.9 (6.5–7.3) | 0.53 (0.47–0.60) | 6.3 (5.9–6.7) | 0.76 (0.65–0.90) | 0.6 (0.5–0.8) | 0.13 (0.10–0.18) |
Race/ethnicityc | ||||||
White | 13.5 (13.1–13.9) | 1 [Reference] | 11.8 (11.4–12.2) | 1 [Reference] | 2.3 (2.2–2.5) | 1 [Reference] |
American Indian/Alaska Native | 20.9 (17.5–24.8) | 1.09 (0.90–1.32) | 18.1 (14.6–22.2) | 1.07 (0.86–1.32) | 3.7 (2.2–6.2) | 1.04 (0.58–1.85) |
Asian/Pacific Islander | 3.5 (2.9–4.3) | 0.34 (0.27–0.41) | 2.8 (2.2–3.5) | 0.31 (0.25–0.39) | 0.6 (0.4–0.9) | 0.31 (0.19–0.50) |
Black | 12.7 (11.9–13.6) | 0.62 (0.57–0.66) | 10.5 (9.8–11.3) | 0.58 (0.53–0.63) | 0.7 (0.5–1.0) | 0.20 (0.15–0.27) |
Hispanic | 5.5 (5.0–6.2) | 0.29 (0.25–0.32) | 4.5 (4.0–5.1) | 0.26 (0.23–0.30) | 0.8 (0.6–1.1) | 0.24 (0.18–0.33) |
Other | 20.8 (17.7–24.3) | 1.23 (1.05–1.45) | 16.8 (13.9–20.2) | 1.18 (0.98–1.43) | 4.6 (2.9–7.1) | 1.23 (0.77–1.96) |
Education | ||||||
<High school | 16.5 (15.3–17.7) | 1 [Reference] | 14.9 (13.8–16.1) | 1 [Reference] | 1.7 (1.3–2.2) | 1 [Reference] |
High school | 16.0 (15.4–16.6) | 0.85 (0.78–0.92) | 14.2 (13.7–14.8) | 0.82 (0.76–0.89) | 2.4 (2.2–2.7) | 1.23 (0.91–1.66) |
Some college | 13.8 (13.3–14.3) | 0.70 (0.65–0.76) | 11.6 (11.2–12.2) | 0.66 (0.60–0.71) | 2.5 (2.2–2.7) | 1.13 (0.83–1.53) |
College degree or more | 5.2 (4.9–5.6) | 0.30 (0.27–0.33) | 4.1 (3.7–4.3) | 0.26 (0.23–0.29) | 0.9 (0.7–1.0) | 0.43 (0.31–0.60) |
Annual household income, $ | ||||||
<25,000 | 17.7 (16.9–18.5) | 1 [Reference] | 15.7 (15.0–16.5) | 1 [Reference] | 2.3 (2.0–2.6) | 1 [Reference] |
25,000–49,999 | 13.2 (12.6–13.9) | 0.85 (0.80–0.91) | 11.7 (11.1–12.3) | 0.85 (0.79–0.91) | 2.0 (1.7–2.3) | 0.94 (0.76–1.15) |
50,000–99,999 | 10.9 (10.4–11.4) | 0.76 (0.71–0.81) | 9.1 (8.7–9.6) | 0.72 (0.70–0.78) | 1.9 (1.7–2.2) | 0.93 (0.75–1.14) |
≥100,000 | 6.0 (5.5–6.4) | 0.51 (0.46–0.57) | 4.6 (4.3–5.0) | 0.46 (0.41–0.52) | 1.2 (1.0–1.4) | 0.67 (0.52–0.86) |
Marital status | ||||||
Married/ living with partner | 8.6 (8.2–8.9) | 1 [Reference] | 7.5 (7.2–7.8) | 1 [Reference] | 1.2 (1.1–1.4) | 1 [Reference] |
Never married | 13.5 (12.9–14.2) | 1.44 (1.34–1.53) | 10.5 (9.9–11.1) | 1.40 (1.30–1.50) | 3.0 (2.7–3.4) | 1.69 (1.39–2.05) |
Divorced/widowed/ separated | 15.3 (14.8–15.9) | 1.55 (1.45–1.65) | 14.1 (13.6–14.6) | 1.54 (1.44–1.65) | 1.7 (1.6–2.0) | 1.61 (1.34–1.95) |
Disability statusd | ||||||
No | 10.6 (10.2–10.9) | 1 [Reference] | 8.9 (8.7–9.2) | 1 [Reference] | 1.7 (1.6–1.9) | 1 [Reference] |
Yes | 18.9 (18.1–19.9) | 1.44 (1.36–1.54) | 17.2 (16.3–18.1) | 1.42 (1.33–1.52) | 2.4 (2.1–2.8) | 1.63 (1.34–1.98) |
US regione | ||||||
Northeast | 11.3 (10.6–12.0) | 1 [Reference] | 9.7 (9.0–10.3) | 1 [Reference] | 1.7 (1.5–2.1) | 1 [Reference] |
Midwest | 14.6 (13.8–15.4) | 1.10 (1.01–1.19) | 12.8 (12.1–13.5) | 1.12 (1.03–1.21) | 2.2 (1.9–2.6) | 1.03 (0.83–1.27) |
South | 12.1 (11.6–12.6) | 1.00 (0.93–1.07) | 10.3 (9.9–10.8) | 1.00 (0.93–1.07) | 1.8 (1.6–2.0) | 1.04 (0.85–1.27) |
West | 8.6 (8.1–9.1) | 0.86 (0.80–0.93) | 7.3 (6.8–7.7) | 0.86 (0.79–0.94) | 1.5 (1.3–1.8) | 0.89 (0.70–1.13) |
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