scholarly journals Factors Associated with Cigarette Use During Airmen’s First Year of Service in the United States Air Force

2019 ◽  
Vol 185 (1-2) ◽  
pp. e212-e220 ◽  
Author(s):  
Melissa Little ◽  
Jon O Ebbert ◽  
Rebecca A Krukowski ◽  
Jennifer Halbert ◽  
Maj Ryan Kalpinski ◽  
...  

Abstract Introduction Despite declines of cigarette use in the civilian population, military personnel report alarmingly high rates of cigarette use. Enlisted Air Force recruits are required to remain tobacco-free for the first 12 weeks of training, and the majority express confidence they will not use tobacco after the ban; however, most previous smokers return to smoking and many nonsmokers initiate. Understanding the factors associated with cigarette-smoking initiation among non-users and re-initiation among former users is critical for the development of successful tobacco control efforts. Materials and Methods The current study examines predictors of cigarette smoking among a sample of 2,188 USAF personnel after their first year of service. Logistic regression analyses examined associations between baseline predictors and initiation and re-initiation of cigarette smoking at a one-year follow-up. Results Compared to never smokers at both time points, the strongest predictor of smoking initiation over the past 12 months was having owned cigarette-branded merchandise (OR 3.81, 95% CI 1.67, 8.71). Compared to former smokers who remained abstinent, the strongest predictor of re-initiation was intention to use tobacco (OR 2.08, 95% CI 1.53, 2.83). Compared to individuals who initiate, the strongest predictors of re-initiation were prior use of other tobacco products and tobacco use intentions (ORs range 1.85 to 4.63). Conclusions Multiple risk factors are associated with tobacco use. Given that Airmen are tobacco-free for the first 12 weeks of training, tobacco interventions during this period might be more effective. Our findings can be used to tailor interventions to prevent tobacco use in the U.S. military.

2018 ◽  
Vol 21 (10) ◽  
pp. 1401-1407 ◽  
Author(s):  
Lin Xiao ◽  
Mark Parascandola ◽  
Congxiao Wang ◽  
Yuan Jiang

Abstract Introduction This study provides nationally representative estimates of electronic cigarette (e-cigarette) use among youth in China and explores the factors associated with awareness and use of e-cigarettes and the relationship between e-cigarette and conventional tobacco use. Methods This study examined data from the Global Youth Tobacco Survey, which was completed by 155 117 middle school students (51.8% boys and 48.2% girls) in China, and employed a multistage stratified cluster sampling design. For data analysis, SAS 9.3 complex survey procedures were used, and logistic regression was used to explore factors associated with e-cigarette use and the relationship between e-cigarette and conventional tobacco use. Results About 45.0% of middle school students had heard of e-cigarettes, but only 1.2% reported using e-cigarettes in the last 30 days. Among never-smokers, e-cigarette users were more likely to intend to use a tobacco product in the next 12 months than nonusers (adjusted odds ratio [OR] = 6.970, 95% confidence interval [CI] = 4.474% to 10.857%), and more likely to say that they would enjoy smoking a cigarette (adjusted OR = 14.633, 95% CI = 11.328% to 18.902%). E-cigarette use was associated with previous experimentation with cigarette smoking (OR = 3.2), having noticed tobacco advertising in the past 30 days (OR = 2.7), having close friends who smoke (OR = 1.4), and thinking tobacco helps people feel more comfortable in social situations (OR = 3.3) and makes young people look more attractive (OR = 1.3). Conclusions E-cigarette use among youth in China remains low but awareness is high. E-cigarette use was associated with increased intentions to use tobacco. Enhanced prevention efforts are needed targeting e-cigarette use among youth. Implications This study is the first nationally representative survey of e-cigarette use among youth in China. It found that among middle school students, prevalence of e-cigarette use is 1.2% and prevalence of e-cigarette awareness is 45.0%. Chinese youths use e-cigarettes as a tobacco product rather than an aid to quitting. Among never-smokers, e-cigarette users were more likely to have intentions to use a tobacco product in the next 12 months, more likely to use a tobacco product offered by their best friends and enjoy smoking a cigarette than nonusers.


2019 ◽  
Vol 22 (8) ◽  
pp. 1404-1408 ◽  
Author(s):  
Andrea H Weinberger ◽  
Cristine D Delnevo ◽  
Katarzyna Wyka ◽  
Misato Gbedemah ◽  
Joun Lee ◽  
...  

Abstract Introduction Despite increasing use of cannabis, it is unclear how cannabis use is related to cigarette transitions. This study examined cannabis use and smoking initiation, persistence, and relapse over 1 year among a nationally representative sample of US adults. Methods Data were from US adults (≥18 years) who completed two waves of longitudinal data from the Population Assessment of Tobacco and Health Study (Wave 1, 2013–2014; Wave 2, 2014–2015; n = 26 341). Logistic regression models were used to calculate the risk of Wave 2 incident smoking among Wave 1 never-smokers, smoking cessation among Wave 1 smokers, and smoking relapse among Wave 1 former smokers by Wave 1 cannabis use. Analyses were adjusted for age, gender, race/ethnicity, income, and education. Results Among Wave 1 never-smokers, cannabis use was associated with increased odds of initiation of nondaily (adjusted odds ratio [AOR] = 5.50, 95% confidence limits [CL] = 4.02–7.55) and daily cigarette smoking (AOR = 6.70, 95% CL = 4.75–9.46) 1 year later. Among Wave 1 daily smokers, cannabis use was associated with reduced odds of smoking cessation (AOR = 0.36, 95% CL = 0.20–0.65). Among Wave 1 former smokers, cannabis use was associated with increased odds of relapse to daily and nondaily cigarette smoking (daily AOR = 1.90, 95% CL = 1.11–3.26; nondaily AOR = 2.33, 95% CL = 1.61–3.39). Conclusions Cannabis use was associated with increased cigarette smoking initiation, decreased smoking cessation, and increased smoking relapse among adults in the United States. Increased public education about the relationship between cannabis use and cigarette smoking transitions may be needed as cannabis use becomes more common among US adults. Implications As cannabis use increases in the United States and other countries, an evaluation of the relationships of cannabis use to other health-related behaviors (eg, cigarette smoking) is needed to understand the population-level impact of legalization. Little is known about associations between cannabis use and cigarette smoking transitions (1) using recent longitudinal data, (2) among adults, and (3) examining transitions other than smoking initiation (eg, smoking relapse). Our results suggest that among US adults, cannabis use was associated with increased cigarette smoking initiation among never-smokers, decreased cigarette smoking cessation among current smokers, and increased cigarette smoking relapse among former smokers.


2020 ◽  
Vol 47 (2) ◽  
pp. 284-292 ◽  
Author(s):  
Allison M. Glasser ◽  
Alexis Barton ◽  
Jessica Rath ◽  
Bethany Simard ◽  
Shyanika W. Rose ◽  
...  

Despite declines in overall cigarette smoking in the United States, menthol cigarette smoking prevalence has increased among young adults (18-25 years) and remains constant among older adults (26 years and older). Disparities in menthol cigarette use exist, with higher prevalence among younger adult smokers and among racial/ethnic minority populations. Menthol in cigarettes has been shown to play a role in increasing smoking initiation and making it more difficult to quit smoking. Little research focuses on perceptions of the addictive potential and health consequences of menthol cigarette use. This analysis uses data from a national panel of U.S. adults ( n = 1,303) surveyed in 2016. Participants were asked to what extent they agreed with various statements regarding menthol use among demographic and tobacco use subgroups. These data reveal disparities in perceptions of the impact of menthol use, with Black, non-Hispanic, and Hispanic adults and adults with lower income and less education misperceiving the health effects and addiction potential of menthol in cigarettes. Determining how and to what extent population subgroups understand the effect of menthol cigarette use can inform public education strategies and, in turn, policy efforts to ban or restrict menthol cigarette availability.


2019 ◽  
Vol 185 (3-4) ◽  
pp. 418-427 ◽  
Author(s):  
Jie Lin ◽  
Kangmin Zhu ◽  
Paula K Hoang ◽  
Aida M Soliván-Ortiz ◽  
Stacy L Larsen ◽  
...  

Abstract Introduction Electronic cigarettes (e-cigarettes) are increasingly used in the U.S.A. by young people. As young adults serve as the primary recruiting pool for military, active duty service members in military may be susceptible to using e-cigarettes. However, factors related to e-cigarette use in military population have rarely been studied. We aimed to identify factors associated with e-cigarette use and factors related to duration of use among active duty service members. Materials and Methods Subjects (N = 2,467) from Fort Bragg Army Base, North Carolina and Lackland Air Force Base, Texas completed a self-administered questionnaire during July 2015 to May 2016 time frame. The questionnaire collected data on demographic and military characteristics, tobacco use (including e-cigarette use) and other information. Stepwise logistic regression was performed to identify significant factors associated with e-cigarette use. Stepwise linear regression was performed to identify factors associated with duration of use. Results A total of 356 (14.4%) study participants reported ever use of e-cigarettes. There was no significant difference in prevalence of use between the two military installations (15.6% at Fort Bragg vs. 13.2% at Lackland, P = 0.097). Increased use of e-cigarettes was associated with young age (20–24 years old) (OR = 1.98, 95% CI = 1.22–3.22), enlisted military rank (E1–E4: OR = 2.45, 95% CI = 1.36–4.40; E5–E9: OR = 1.88, 95% CI = 1.10–3.21), low perception of harm (OR = 5.18, 95% CI = 3.65–7.34), former (OR = 9.12, 95% CI = 6.29–13.22) and current (OR = 13.24, 95% CI = 9.22–19.02) cigarette smoking, and former smokeless tobacco use (OR = 2.07, 95% CI = 1.33–3.22), former (OR = 2.62, 95% CI = 1.42–4.85) and current (OR = 2.82, 95% CI = 1.82–4.37) cigar or pipe smoking. However, serving mainly in combat unit during deployment was associated with decreased odds of use (OR = 0.57, 95% CI = 0.34–0.97). Among e-cigarette users, the number of years using e-cigarettes was significantly longer among the participants with lower perception of harm than those with higher perception of harm (0.82 vs. 0.22, P < 0.001), and the duration was longer among subjects who used e-cigarette with nicotine than those without nicotine (0.79 vs. 0.49, P = 0.003). Finally, reasons for use differed markedly by cigarette smoking status. Never smokers used e-cigarette for the taste or flavor, while cigarette smokers used e-cigarette to help quit tobacco or reduce tobacco use. Conclusion Young age, lower military ranks, other tobacco use, and low perception of harm were associated with increased odds of using e-cigarettes, while serving in combat unit was associated with decreased odds of use in active duty service members. Low harm perception and using nicotine-containing e-cigarettes were associated with long duration of use. The reasons for using e-cigarettes differed by cigarette smoking status. Our study provides clues for future hypothesis-driven studies.


Author(s):  
Lindsay M. Reynolds ◽  
Cristian Zamora ◽  
Un Jung Lee ◽  
Andrew C. Stokes ◽  
Emelia J. Benjamin ◽  
...  

Background Although tobacco product use and transitions have been characterized in the general population, few studies have focused on individuals with established cardiovascular disease (CVD) in a population‐based sample. Methods and Results We examined tobacco use prevalence and longitudinal patterns of tobacco product transitions in adults (≥18 years) of the nationally representative PATH (Population Assessment of Tobacco and Health) study, from 2013 to 2014 (Wave 1) through 2016 to 2018 (Wave 4). Prevalent CVD was classified through self‐report of having had a heart attack, heart failure, stroke, or other heart condition. Factors associated with tobacco product use and transitions were investigated using survey logistic regression. We examined 2615 participants with self‐reported CVD at Wave 1. Overall, 28.9% reported current tobacco use, equating to ≈6.2 million adults in the United States with prevalent CVD and current tobacco use. Among adults with CVD who are current tobacco users, the most commonly used product was cigarettes (82.8%), followed by any type of cigar (23.7%), and e‐cigarette use (23.3%). E‐cigarette use without concurrent cigarette use among participants with prevalent CVD was uncommon (1.1%). Factors associated with tobacco use were younger age, male sex, had lower education level, and lack of knowledge about the association between smoking and CVD. Men with prevalent CVD were less likely to use e‐cigarettes compared with women (odds ratio [OR], 0.7; 95% CI, 0.5–0.9). Among cigarette users with CVD, transition rates between Waves 1 and 4 demonstrated <5% decrease in cigarette, with a 0.5% increase in e‐cigarette use. Only ≈10% were in formal tobacco cessation programs. Conclusions Despite known harmful cardiovascular effects, over one fourth of adults with prevalent CVD use tobacco products and few quit smoking over the 4 waves of the PATH data set.


2021 ◽  
pp. tobaccocontrol-2021-056528
Author(s):  
Thomas Martinelli ◽  
Math J J M Candel ◽  
Hein de Vries ◽  
Reinskje Talhout ◽  
Vera Knapen ◽  
...  

BackgroundStudies demonstrated that adolescent e-cigarette use is associated with subsequent tobacco smoking, commonly referred to as the gateway effect. However, most studies only investigated gateways from e-cigarettes to tobacco smoking. This study replicates a cornerstone study revealing a positive association between both adolescent e-cigarette use and subsequent tobacco use; and tobacco and subsequent e-cigarette use in the Netherlands and Flanders.DesignThe longitudinal design included baseline (n=2839) and 6-month (n=1276) and 12-month (n=1025) follow-up surveys among a school-based cohort (mean age: 13.62). Ten high schools were recruited as a convenience sample. The analyses involved (1) associations of baseline e-cigarette use and subsequent tobacco smoking among never smokers; (2) associations of e-cigarette use frequency at baseline and tobacco smoking frequency at follow-up; and (3) the association of baseline tobacco smoking and subsequent e-cigarette use among non-users of e-cigarettes.FindingsConsistent with prior findings, baseline e-cigarette use was associated with higher odds of tobacco smoking at 6-month (OR=1.89; 95% CI 1.05 to 3.37) and 12-month (OR=5.63; 95% CI 3.04 to 10.42) follow-ups. More frequent use of e-cigarettes at baseline was associated with more frequent smoking at follow-ups. Baseline tobacco smoking was associated with subsequent e-cigarette use (OR=3.10; 95% CI 1.58 to 6.06 at both follow-ups).ConclusionOur study replicated the positive relation between e-cigarette use and tobacco smoking in both directions for adolescents. This may mean that the gateway works in two directions, that e-cigarette and tobacco use share common risk factors, or that both mechanisms apply.


Author(s):  
Zongshuan Duan ◽  
Yu Wang ◽  
Jidong Huang

E-cigarettes are the most-used tobacco products among U.S. adolescents. Emerging evidence suggests that adolescents using e-cigarettes are at elevated risk for initiating cigarette smoking. However, whether this risk may differ by sex remains unknown. This study analyzed data from Wave 1 to 4 of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative longitudinal survey. Generalized estimation equations (GEE) were performed to estimate the associations between baseline e-cigarette use and subsequent cigarette smoking, controlling for sociodemographic characteristics, mental health conditions, and other tobacco use. Effect modifications by sex were examined. Multivariate analyses showed that, among baseline never cigarette smokers, past-30-day e-cigarette use at baseline waves was significantly associated with past-30-day cigarette smoking at follow-up waves (aOR = 3.90, 95% CI: 2.51–6.08). This association was significantly stronger for boys (aOR = 6.17, 95% CI: 2.43–15.68) than for girls (aOR = 1.10, 95% CI: 0.14–8.33). Additionally, using other tobacco products, older age, and having severe externalizing mental health problems at baseline were significantly associated with an increased likelihood of cigarette smoking at follow-up. The prospective association between e-cigarette use and cigarette smoking differs by sex among U.S. adolescents. Sex-specific tobacco control interventions may be warranted to curb the youth tobacco use epidemic.


2018 ◽  
Vol 39 (7) ◽  
pp. 1247-1257 ◽  
Author(s):  
Martine Elbejjani ◽  
Reto Auer ◽  
Sudipto Dolui ◽  
David R Jacobs ◽  
Thaddeus Haight ◽  
...  

Cigarette smoking is often associated with dementia. This association is thought to be mediated by hypoperfusion; however, how smoking behavior relates to cerebral blood flow (CBF) remains unclear. Using data from the Coronary Artery Risk Development in Young Adults (CARDIA) cohort (mean age = 50; n = 522), we examined the association between smoking behavior (status, cumulative pack-years, age at smoking initiation, and years since cessation) and CBF (arterial spin labeling) in brain lobes and regions linked to dementia. We used adjusted linear regression models and tested whether associations differed between current and former-smokers. Compared to never-smokers, former-smokers had lower CBF in the parietal and occipital lobes, cuneus, precuneus, putamen, and insula; in contrast, current-smokers did not have lower CBF. The relationship between pack-years and CBF was different between current and former-smokers ( p for interaction < 0.05): Among current-smokers, higher pack-years were associated with higher occipital, temporal, cuneus, putamen, insula, hippocampus, and caudate CBF; former-smokers had lower caudate CBF with increasing pack-years. Results show links between smoking and CBF at middle-age in regions implicated in cognitive and compulsive/addictive processes. Differences between current and former smoking suggest that distinct pathological and/or compensatory mechanisms may be involved depending on the timing and history of smoking exposure.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Douglas Levy ◽  
Sydney L Goldberg ◽  
Emily P Hyle ◽  
Krishna P Reddy

Background: The AHA’s 2030 Impact Goals seek to increase population health-adjusted life expectancy (LE) by 2y. Tobacco is a top contributor to all-cause mortality and cardiovascular disease (CVD). We estimated the potential contribution of improved tobacco control to achieve the 2030 Impact Goals in the US. Methods: We used the validated STOP microsimulation model with NHIS estimates of age- and sex-stratified mortality and CVD incidence to project changes in LE, as well as 10y, 20y, and lifetime CVD cumulative incidence, if cigarette smoking declined among the current US population. We assessed the impact of preventing initiation (current v never smokers) or increasing cessation (current v former smokers) at different ages. To examine the maximum impact of population-wide cessation, we projected changes in population LE and CVD incidence if smoking prevalence among those ≥20yo went immediately to 0%. Results: Preventing smoking initiation increases LE by 10.2y (men [M]) and 9.1y (women [W]) and reduces lifetime CVD incidence by 16.8% (M) and 26.2% (W) compared to lifetime smoking. Even cessation at age 60 extends LE by 3.7y (M) and 2.5y (W) and reduces 10y CVD incidence by 39.1% (M) and 59.4% (W) (Table). Total elimination of cigarette smoking in the 2020 US population aged ≥20y (e.g. by outlawing cigarettes) would increase the cohort LE by 0.4 (M) and 0.2 (W) years and reduce 20y CVD incidence by 6.0% (M) and 7.0% (W). Conclusion: Preventing smoking initiation offers the greatest benefit, but cessation at any age substantially improves LE and reduces CVD risk. The modest potential contribution of tobacco elimination to achieving the 2030 Impact Goals is due to already low smoking prevalence: <14% (projected) in 2020.


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