Racial/ethnic differences in daily, nondaily, and menthol cigarette use and smoking quit ratios in the United States: 2002 to 2016

Weinberger, Andrea H.; Giovenco, Daniel P.; Zhu, Jiaqi; Lee, Joun; Kashan, Rachel S.; Goodwin, Renée D.

doi:10.1016/j.ypmed.2019.04.009

Cited by 42 publications

(25 citation statements)

References 42 publications

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“…Analysis of differences by race/ethnicity generally showed higher vulnerability to severe COVID-19 illness for the white subgroup compared with the black, Hispanic, and Asian subgroups. For the full sample, this finding is largely because of whites' higher rates of smoking and e-cigarette use, a finding consistent with previous research showing lower smoking and e-cigarette use in minority populations [ 25 , 26 ]. Among nonsmokers, the white subgroup had higher medical vulnerability compared with the Hispanic and Asian subgroups; however, the significance was attenuated.…”

Section: Discussionsupporting

confidence: 88%

Medical Vulnerability of Young Adults to Severe COVID-19 Illness—Data From the National Health Interview Survey

Adams

Park

Schaub

et al. 2020

Journal of Adolescent Health

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Purpose COVID-19 morbidity and mortality reports in the U.S. have not included findings specific to young adults. The Centers for Disease Control and Prevention provides a list of conditions and associated behaviors, including smoking, conferring vulnerability to severe COVID-19 illness regardless of age. This study examines young adults' medical vulnerability to severe COVID-19 illness, focusing on smoking-related behavior. Methods A young adult subsample (aged 18–25 years) was developed from the National Health Interview Survey, a nationally representative data set, pooling years 2016–2018. The medical vulnerability measure (yes vs. no) was developed, guided by the Centers for Disease Control and Prevention medical indicators. The estimates of medical vulnerability were developed for the full sample, the nonsmoking sample, and the individual risk indicators. Logistic regressions were conducted to examine differences by sex, race/ethnicity, income, and insurance. Results Medical vulnerability was 32% for the full sample and half that (16%) for the nonsmoking sample. Patterns and significance of some subgroup differences differed between the full and the nonsmoking sample. Male vulnerability was (33%) higher than female (30%; 95% CI: .7–.9) in the full sample, but lower in nonsmokers: male (14%) versus female (19%; 95% CI: 1.2–1.7). The white subgroup had higher vulnerability than Hispanic and Asian subgroups in both samples—full sample: white (31%) versus Hispanic (24%; 95% CI: .6–.9) and Asian (18%; 95% CI: .4–.5); nonsmokers: white (17%) versus Hispanic (13%; 95% CI: .06–.9) and Asian (10%; 95% CI: .3–.8). Conclusions Notably, lower young adult medical vulnerability within nonsmokers versus the full sample underscores the importance of smoking prevention and mitigation.

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Section: Discussionsupporting

confidence: 88%

Medical Vulnerability of Young Adults to Severe COVID-19 Illness—Data From the National Health Interview Survey

Adams

Park

Schaub

et al. 2020

Journal of Adolescent Health

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“…30,31 In this study African Americans who smoked greater than 10 cpd, the mean cpd was 17.5 compared to the mean cpd of 28.3 among whites who reported smoking greater than 10 cpd. This emphasizes earlier findings that now the whites are heavier smokers compared to the African Americans, 32 even within the truck driving population. In this study, we defined smokers as having smoked at least 100 cigarettes in a lifetime, or daily or occasional smoking.…”

Section: Discussionsupporting

confidence: 83%

Truck Drivers’ Cigarette Smoking and Preferred Smoking Cessation Methods

et al. 2020

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Introduction: Some studies show that truck drivers use tobacco and other stimulants to stay awake as they drive. Despite their increased risks for many of tobacco-related health disparities, there is limited engagement of truck drivers in smoking cessation programs. The objective of this study was to describe smoking characteristics and identify their preferred smoking cessation methods among truck drivers. Methods: This was a cross-sectional mixed methods study. Participants were truck drivers recruited at trucking companies in Utah in 2019. Participants were either individually interviewed (n = 4), or filled out a survey (n = 33). We conducted qualitative data analysis of the interviews followed by descriptive statistics of smoking and cessation characteristics from the survey. Results: Reasons for smoking included, staying awake, stress reduction, or something to do while driving. Of the drivers surveyed, 68.8% were daily smokers while 97% had smoked at least 100 cigarettes in their life time. The mean number of cigarettes per day (cpd) was 15.7, and 25 among those who had 10 or more cpd. Sixty-one percent had made at least a quit attempt. In addition to counseling or brief advice, 68% reported interest in using Nicotine Replacement Therapy (NRT) either as gum or patch to help them quit. 21% reported interest in telephone text messaging to engage them in treatment. Conclusion: Cigarette smoking is a public health problem among truck drivers. Our findings suggest that truck drivers are interested in quitting smoking. Evidence based interventions tailored to this population are needed to help them quit and reduce their smoking-related morbidity.

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“…From 2005 through 2016 the prevalence of heavy daily smoking, >10 cigarettes per day (CPD), and more specifically ≥20 CPD among the US population decreased, while the prevalence of light daily smoking (≤10 CPD) among the US population increased 1 . Additionally, the decline in the prevalence of non-daily smoking (also known as intermittent smoking) was slower than the decline in prevalence of daily smoking in the US population, resulting in an increase in the proportion of non-daily smoking among current smokers, and has varied by racial/ethnic group over the last decade 2 . Specifically, among non-Hispanic White smokers the prevalence of non-daily smoking has decreased from 11% to 10%, among non-Hispanic Black smokers the prevalence has decreased from 13% to 11%, and among Hispanic smokers the prevalence has decreased from 13% to 8% 2 .…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, the decline in the prevalence of non-daily smoking (also known as intermittent smoking) was slower than the decline in prevalence of daily smoking in the US population, resulting in an increase in the proportion of non-daily smoking among current smokers, and has varied by racial/ethnic group over the last decade 2 . Specifically, among non-Hispanic White smokers the prevalence of non-daily smoking has decreased from 11% to 10%, among non-Hispanic Black smokers the prevalence has decreased from 13% to 11%, and among Hispanic smokers the prevalence has decreased from 13% to 8% 2 . Despite the decline in both daily and non-daily smoking, racial/ethnic minorities are more likely to be light or non-daily smokers compared to White smokers 3 , 4 .…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity in past-year smoking, current tobacco use, and smoking cessation behaviors among light and/or non-daily smokers

Omole¹,

McNeel²,

Choi³

2020

Tob. Induc. Dis.

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in the proportion of non-daily smoking among current smokers, and has varied by racial/ethnic group over the last decade 2. Specifically, among non-Hispanic White smokers the prevalence of non-daily smoking has decreased from 11% to 10%, among non-Hispanic Black smokers the prevalence has decreased from 13% to 11%, and among Hispanic smokers the prevalence has decreased from 13% to 8% 2. Despite the decline in both daily and non-daily smoking, racial/ethnic minorities are more likely to be light or non-daily ABSTRACT INTRODUCTION Prevalence of light daily smoking, <10 cigarettes per day (CPD), and non-daily smoking has increased in the US population. This analysis examined the heterogeneity in past-year smoking behavior, current tobacco use behaviors, and smoking cessation behaviors among light and/or non-daily smokers. METHODS Current adult (≥18 years old) smokers (N=26196) participated in the 2010-2011 US Current Population Survey-Tobacco Use Supplement, which reported current (T1) and past 12-month (T0) smoking behaviors. Responses were categorized by intensity (light ≤10 CPD vs heavy >10 CPD) and frequency (non-daily vs daily). Combinations of T0 and T1 smoking behaviors resulted in 15 smoking trajectories ending in light/non-daily smoking and a 16th category of heavy daily smokers at T1. Differences in demographics, tobacco use, and smoking cessation behaviors were assessed by using weighted multivariable regression models. RESULTS Overall, 46.1% of US smokers were heavy smokers, 24.6% remained light daily smokers and 12.5% remained light non-daily smokers between T0 and T1. Current cigar, smokeless tobacco, and pipe use differed by smoking trajectories (p<0.05). All light and/or non-daily smokers were more likely than heavy daily smokers to have made a quit attempt (p<0.05) but use of cessation treatments varied. Smokers in many light and/or non-daily smoking trajectories were less likely than heavy daily smokers to be aided by healthcare providers for smoking cessation (p<0.05). CONCLUSIONS Among heavy daily smokers who became light non-daily smokers, the mismatch between intent to quit (80.9%) and receiving advice to set a quit date (33.7%) is one example of a potential opportunity for a clinical intervention.

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Racial/ethnic differences in daily, nondaily, and menthol cigarette use and smoking quit ratios in the United States: 2002 to 2016

Cited by 42 publications

References 42 publications

Medical Vulnerability of Young Adults to Severe COVID-19 Illness—Data From the National Health Interview Survey

Medical Vulnerability of Young Adults to Severe COVID-19 Illness—Data From the National Health Interview Survey

Truck Drivers’ Cigarette Smoking and Preferred Smoking Cessation Methods

Heterogeneity in past-year smoking, current tobacco use, and smoking cessation behaviors among light and/or non-daily smokers

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