scholarly journals Positive Affect and Multiple-tobacco Product Use among Youth: A 3-year Longitudinal Study

2021 ◽  
Vol 45 (5) ◽  
pp. 849-855
Author(s):  
Dale S. Mantey ◽  
Stephanie L. Clendennen ◽  
Aslesha Sumbe ◽  
Anna V. Wilkinson ◽  
Melissa B. Harrell
Keyword(s):  
Positive Affect ◽  
Tobacco Use ◽  
Multinomial Logistic Regression ◽  
Tobacco Product ◽  
Poor Mental Health ◽  
Cigarette Use ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Tenth Grade ◽  
Race Ethnicity

Objectives: Multiple-tobacco product (MTP) use is common among adolescent tobacco users. Low positive affect is a risk factor for e-cigarette use and combustible tobacco smoking. In this study, we examine the longitudinal relationship between positive affect and MTP use in a diverse cohort of adolescents in Texas. Methods: We analyzed 6 waves of biennial data (fall 2014-spring 2017) from the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system. Participants were 3868 sixth-, eighth-, and tenth-grade students in urban Texas, at enrollment. Multinomial logistic regression models examined the longitudinal relationship between positive affect and categories of MTP use, controlling for sex, race/ethnicity, past 30-day alcohol use, cohort, survey wave, and peer tobacco use. Results: The sample was comprised of 4.6% single-product users, 1.7% dual-users, and 0.7% poly-users. Each unit decrease in positive affect was associated with increased risk for single- (RRR: 1.29; 95% CI: 1.16-1.44), dual- (RRR: 1.35; 95% CI: 1.11-1.64), and poly- (RRR: 1.98; 95% CI: 1.54-2.54) use, relative to non-use. Similarly, each unit decrease in positive affect was also associated with increased risk for poly-tobacco use relative to single- (RRR: 1.53; 95% CI: 1.19-1.97) and dual- (RRR: 1.47; 95% CI: 1.11-1.95) use. Positive affect did not differentiate between single- and dual-use. Conclusion: We observed a gradient relationship between low positive affect and greater number of tobacco products used. Findings reinforce the association between poor mental health and tobacco use during adolescence. Prevention efforts may need to incorporate methods of addressing low positive affect.

Abstract P087: Youth Tobacco Users Perceive Less E-Cig Harm

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Delvon T Mattingly ◽  
Lindsay K Tompkins ◽  
Clara G Sears ◽  
Kandi L Walker ◽  
Joy L Hart
Keyword(s):  
High School Students ◽  
Tobacco Use ◽  
Rural Areas ◽  
Multinomial Logistic Regression ◽  
Health Problems ◽  
Tobacco Product ◽  
Scientific Uncertainty ◽  
Cigarette Use ◽  
School Students ◽  
Tobacco Products

Introduction: In Appalachia, youth tobacco use rates exceed the national average, and youth in these rural areas are increasingly aware of new and emerging tobacco products, such as e-cigarettes. Given that e-cigarettes are a commonly used tobacco product by youth, additional inquiry is needed to better understand both youth product perceptions and use patterns, especially in communities with entrenched acceptance of tobacco. Study Aim and Hypothesis: Our aim is to examine the prevalence of conventional tobacco and e-cigarette use among Appalachian youth and to examine associations between use and tobacco harm perceptions. We hypothesized that conventional tobacco users would be less likely than non-users to perceive e-cigarette use as harmful and that e-cigarette users would be less likely than non-users to perceive e-cigarette use as harmful. Methods: A survey of middle and high school students (n=1,008) was conducted in rural Appalachia. The primary outcome in this analysis, tobacco use, was categorized as never user, conventional tobacco only user (cigarettes or smokeless), or e-cigarette only user. Descriptive characteristics were compared among the three use groups. Relationships between harm perceptions and tobacco product use were assessed using multinomial logistic regression models adjusted for age, race, gender, and grade level. Results: Nearly one-fourth (23%) of the participants had tried e-cigarettes. Compared to never users, conventional users were more likely to indicate that e-cigarettes did not cause: (1) health problems (OR: 1.65; CI: 1.075-2.521) or (2) addiction (OR: 1.63; CI: 1.064-2.496). Youth who indicated e-cigarettes do not cause health problems were more likely to be e-cigarette users than non-e-cigarette users (OR: 2.04, CI: 1.460-2.838), and youth who indicated smoking does not cause addiction were more likely to be conventional users than never or e-cigarette only users (OR: 1.96; CI: 1.181-3.262). Conclusions: In summary, youth who use conventional tobacco products or e-cigarettes are less likely to perceive e-cigarettes as harmful. These findings reinforce the need for vigilance in restricting youth access to tobacco products, increased emphasis on health campaigns that clarify scientific uncertainty surrounding tobacco safety, and regulation of e-cigarette marketing that targets youth.

scholarly journals Tobacco Use Status and Temptation to Try E-Cigarettes among a Sample of Appalachian Youth

2021 ◽  
Vol 18 (13) ◽  
pp. 6755
Author(s):  
Delvon T. Mattingly ◽  
Jayesh Rai ◽  
Osayande Agbonlahor ◽  
Kandi L. Walker ◽  
Joy L. Hart
Keyword(s):  
Tobacco Use ◽  
Tobacco Prevention ◽  
Cigarette Use ◽  
Factorial Anova ◽  
Interaction Terms ◽  
Middle Schoolers ◽  
Prevention Interventions ◽  
Race Ethnicity ◽  
And Gender ◽  
Adjusted Association

E-cigarettes are commonly used tobacco products among youth populations, including Appalachian youth. However, knowledge of the extent to which tobacco use status relates to temptation to try e-cigarettes is limited. Data from the Youth Appalachian Tobacco Study (n = 1047) were used. Temptation to try e-cigarettes was derived from a 12-item situational inventory. Tobacco use status was defined as never, ever non-e-cigarette, and ever e-cigarette use. A factorial ANOVA was used to estimate the adjusted association between tobacco use status and the e-cigarette use temptation scale. Two-way interaction terms between tobacco use status and gender, and tobacco use status and race/ethnicity, were plotted to depict effect modification. Approximately 10% of youth were ever non-e-cigarette users and 24% were ever e-cigarette users. Never and ever non-e-cigarette user middle schoolers had higher temptation to try e-cigarettes than their high school counterparts. The same relationship was found among never and ever e-cigarette users living in households with tobacco users. The ANOVA results suggest a positive, monotonic relationship between tobacco use status and temptation to try e-cigarettes, and that the adjusted group means differ by gender and race/ethnicity. The findings can inform tobacco prevention interventions for youth at higher risk for e-cigarette use, especially youth who have not yet tried e-cigarettes.

scholarly journals Cannabis Use and the Onset of Cigarette and E-cigarette Use: A Prospective, Longitudinal Study Among Youth in the United States

2020 ◽  
Author(s):  
Andrea H Weinberger ◽  
Jiaqi Zhu ◽  
Joun Lee ◽  
Shu Xu ◽  
Renee D Goodwin
Keyword(s):  
United States ◽  
Public Health Education ◽  
The United States ◽  
Unintended Consequences ◽  
Cannabis Use ◽  
Cigarette Use ◽  
Prospective Longitudinal Study ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Prospective Longitudinal

Abstract Introduction Cigarette use is declining among youth in the United States, whereas cannabis use and e-cigarette use are increasing. Cannabis use has been linked with increased uptake and persistence of cigarette smoking among adults. The goal of this study was to examine whether cannabis use is associated with the prevalence and incidence of cigarette, e-cigarette, and dual product use among U.S. youth. Methods Data included U.S. youth ages 12–17 from two waves of the Population Assessment of Tobacco and Health (PATH) Study (Wave 1 youth, n = 13 651; Wave 1 tobacco-naive youth, n = 10 081). Weighted logistic regression models were used to examine the association between Wave 1 cannabis use and (1) Wave 1 prevalence of cigarette/e-cigarette use among Wave 1 youth and (2) Wave 2 incidence of cigarette/e-cigarette use among Wave 1 tobacco-naive youth. Analyses were run unadjusted and adjusted for demographics and internalizing/externalizing problem symptoms. Results Wave 1 cigarette and e-cigarette use were significantly more common among youth who used versus did not use cannabis. Among Wave 1 tobacco-naive youth, Wave 1 cannabis use was associated with significantly increased incidence of cigarette and e-cigarette use by Wave 2. Conclusions Youth who use cannabis are more likely to report cigarette and e-cigarette use, and cannabis use is associated with increased risk of initiation of cigarette and e-cigarette use over 1 year. Continued success in tobacco control—specifically toward reducing smoking among adolescents—may require focusing on cannabis, e-cigarette, and cigarette use in public health education, outreach, and intervention efforts. Implications These data extend our knowledge of cigarette and e-cigarette use among youth by showing that cannabis use is associated with increased prevalence and incidence of cigarette and e-cigarette use among youth, relative to youth who do not use cannabis. The increasing popularity of cannabis use among youth and diminished perceptions of risk, coupled with the strong link between cannabis use and tobacco use, may have unintended consequences for cigarette control efforts among youth.

Trends and Substance Use Associations With E-Cigarette Use in US Adolescents

2018 ◽  
Vol 57 (10) ◽  
pp. 1191-1198 ◽  
Author(s):  
Kelly A. Curran ◽  
Thad Burk ◽  
Paulette D. Pitt ◽  
Amy B. Middleman
Keyword(s):  
Drug Use ◽  
Risk Behavior ◽  
Tobacco Use ◽  
Secondary Data ◽  
Cigarette Use ◽  
Use Patterns ◽  
Drug Risk ◽  
Race Ethnicity ◽  
And Gender ◽  
Ethnicity And Gender

Concerns exist that e-cigarette use may introduce adolescents to drugs. This study explores trends and associations of inhaled tobacco use with drug use. We performed a secondary data analysis on the National Youth Risk Behavior Survey examining the inhaled tobacco and drug use patterns among US teens. Adjusted odds ratios were calculated using bivariate and multivariate analyses between inhaled tobacco use with other drug use, adjusting for age, race/ethnicity, and gender. When adjusting for gender, age, and race/ethnicity, teens who use only e-cigarettes had a higher odds than peers who do not use any inhaled tobacco products to have ever tried marijuana or alcohol, currently use marijuana or alcohol, have lifetime drug use, and misused prescription medications. Drug risk behavior appears stratified with type of inhaled tobacco used, with generally exclusive e-cigarette use linked to lowest risk and conventional and e-cigarette use associated with highest risk of drug use.

scholarly journals Perception and Current Use of E-cigarettes Among Youth in China

2018 ◽  
Vol 21 (10) ◽  
pp. 1401-1407 ◽  
Author(s):  
Lin Xiao ◽  
Mark Parascandola ◽  
Congxiao Wang ◽  
Yuan Jiang
Keyword(s):  
Middle School ◽  
Middle School Students ◽  
Tobacco Use ◽  
Tobacco Product ◽  
Cigarette Use ◽  
School Students ◽  
Factors Associated ◽  
Nationally Representative ◽  
Never Smokers ◽  
The Relationship

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.

Screen time exposure and reporting of headaches in young adults: A cross-sectional study

Cephalalgia ◽  
2016 ◽  
Vol 36 (11) ◽  
pp. 1020-1027 ◽  
Author(s):  
Ilaria Montagni ◽  
Elie Guichard ◽  
Claire Carpenet ◽  
Christophe Tzourio ◽  
Tobias Kurth
Keyword(s):  
Young Adults ◽  
Screen Time ◽  
Migraine Headache ◽  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Time Exposure ◽  
Increased Risk

Objective The objective of this article is to investigate whether excessive screen time exposure is associated with non-migraine headache and migraine in young adults. Background Increased levels of television time have been associated with increased risk of headache. However, time spent using newer electronic devices with a screen (smartphone, tablet) has not been examined yet. Methods We conducted a cross-sectional study among 4927 participants of the French i-Share cohort. Demographic characteristics, screen time exposure (computers, tablets, smartphones and television) as well as headache/migraine symptoms were recorded in a standardized questionnaire. Multinomial logistic regression models were used to evaluate the association between screen time exposure and headache status. Results Participants had a mean age of 20.8 years and 75.5% were female. The multivariable model showed that students in the highest screen time exposure quintile had an increased risk for migraine. The odds ratio (OR) (95% confidence interval (CI)) was 1.37 (1.14 to 1.66) for migraine when compared with students without headache and with low screen time exposure. This association was somewhat stronger for migraine without aura (OR = 1.50, 95% CI 1.19 to 1.89). We found no significant association between screen time exposure and non-migraine headache. Conclusion High levels of screen time exposure are associated with migraine in young adults. No significant association was found with non-migraine headache.

scholarly journals Heat-not-burn Tobacco Products and the Increased Risk for Poly-tobacco Use

2021 ◽  
Vol 45 (1) ◽  
pp. 195-204
Author(s):  
Pallav Pokhrel ◽  
Thaddeus A. Herzog ◽  
Crissy T. Kawamoto ◽  
Pebbles Fagan
Keyword(s):  
Smoking Cessation ◽  
Young Adults ◽  
Tobacco Use ◽  
Tobacco Product ◽  
Dual Use ◽  
Cigarette Smokers ◽  
Product Use ◽  
Increased Risk ◽  
Current Cigarette

Objectives: In this study, we tested the use of ecigarette, cigarette, and dual use of both as predictors of heat-not-burn (HNB) tobacco product use onset among young adults, and examined common predictors of smoking cessation as predictors of HNB product use. Methods: We collected data from 2229 young adults [mean age = 21.1 (SD = 2.1); 55% women] in Hawaii, at 2 time-points 6 months apart. Results: Current cigarette-only use was the strongest concurrent predictor of HNB product use, followed by dual use, and ecigarette-only use. Among HNB product never users at Wave 1, dual and ecigarette-only use at Wave 1 significantly predicted HNB product use onset at Wave 2. Among cigarette smokers who had never used an HNB product at Wave 1, current use of ecigarette for help with smoking cessation predicted increased odds of HNB product use at 6-month follow-up. Conclusions: Although promoted as a safer alternative for exclusive cigarette smokers, HNB products may increase the risk of dual or poly-tobacco product use among young adults, including current exclusive e-cigarette users. Surveillance of HNB product use as a modified risk tobacco product may need to consider the effects of HNB products on poly-tobacco use among young people.

Adolescent Susceptibility to E-Cigarettes: An Update From the 2018 National Youth Tobacco Survey

2020 ◽  
pp. 089011712097112
Author(s):  
Alayna P. Tackett ◽  
Brittney Keller-Hamilton ◽  
Emily T. Hébert ◽  
Caitlin E. Smith ◽  
Samantha W. Wallace ◽  
...  
Keyword(s):  
Secondary Data ◽  
Tobacco Product ◽  
Cigarette Use ◽  
Tobacco Products ◽  
Data Analyses ◽  
Adolescent Sample ◽  
Logistic Regressions ◽  
Race Ethnicity ◽  
Perceived Harm ◽  
Hispanic White

Purpose: Examine correlates of e-cigarette susceptibility among adolescents. Design: Secondary data analyses using the 2018 National Youth Tobacco Survey, excluding participants under 12 and over 17. Setting: United States middle and high schools. Subjects: Never e-cigarette users ( n = 12,439) ages 12-17. Measures: Relationships between e-cigarette susceptibility and age, sex, race/ethnicity, ever tobacco use, perceived ease of purchasing tobacco products, perceived harm, relative addictiveness, household use of e-cigarettes/tobacco were examined. Analysis: Odds of susceptibility were modeled with weighted multivariable logistic regressions. Results: Thirty-five percent (unweighted n = 4,436) of adolescents were susceptible to e-cigarettes. Adolescents who were female (aOR = 1.2), Hispanic (aOR = 1.3), perceived e-cigarettes as anything less than “a lot of harm” (aOR = 2.2-4.9) and “easy” to purchase (aOR = 1.4), had ever used combustible tobacco (aOR = 2.9), or reported household use of e-cigarettes (aOR = 1.5) were susceptible. Non-Hispanic black respondents (vs. non-Hispanic white; aOR = 0.72) had significantly lower odds of susceptibility to e-cigarettes. Conclusion: In the 2018 NYTS adolescent sample, perceptions of harm and ease of tobacco product purchase appear to be significantly related to higher odds of e-cigarette susceptibility, in addition to other demographic factors. Longitudinal data, particularly cohort data following adolescents from susceptible to actual or no use, are needed to assess predictors of e-cigarette use initiation.

Association of device type, flavours and vaping behaviour with tobacco product transitions among adult electronic cigarette users in the USA

2021 ◽  
pp. tobaccocontrol-2020-055999
Author(s):  
Alyssa F Harlow ◽  
Jessica L Fetterman ◽  
Craig S Ross ◽  
Rose Marie Robertson ◽  
Aruni Bhatnagar ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Multinomial Logistic Regression ◽  
Sociodemographic Factors ◽  
Tobacco Product ◽  
Electronic Cigarette ◽  
Health Study ◽  
Cigarette Use ◽  
Use Patterns ◽  
The Usa ◽  
Former Smokers

BackgroundFew studies assess whether electronic cigarette (e-cigarette) device characteristics or flavours impact longitudinal patterns of cigarette and e-cigarette use.DesignWe examined data from waves 2–4 of the Population Assessment of Tobacco and Health Study (2014–2018). Among adult (≥18 years) current e-cigarette users at wave 2 who were current smokers (dual users; n=1759) and former smokers (exclusive e-cigarette users; n=470), we classified participants into four use patterns at wave 3 (~12 months later) and wave 4 (~24 months later): (1) dual use of e-cigarettes and cigarettes; (2) exclusive cigarette smoking; (3) exclusive e-cigarette use; (4) non-use of both products. We used multinomial logistic regression to assess correlates of changing use patterns at 24 months, relative to no change, adjusting for sociodemographic factors.ResultsAt 24 months, 26.5% of baseline exclusive e-cigarette users, and 9% of baseline dual users, abstained from both vaping and smoking. Participants who vaped non-tobacco flavours (vs tobacco flavours), and used refillable tank or modifiable devices (vs disposable, cartridges and other devices) were less likely to transition to non-use of both products and to exclusive cigarette smoking. Baseline daily vaping (vs non-daily) was positively associated with exclusive e-cigarette use at 24 months for baseline daily cigarette smokers, but negatively associated with exclusive e-cigarette use and non-use of both products at 24 months for baseline non-daily smokers.ConclusionsNon-tobacco flavours, daily vaping and modifiable e-cigarette devices may help some smokers abstain from cigarette smoking via transitioning to exclusive e-cigarette use, but are also associated with ongoing exclusive e-cigarette use.

Abstract P236: Association Between Alcohol and Ideal Cardiovascular Health: The Multi-Ethnic Study of Atherosclerosis

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Oluseye Ogunmoroti ◽  
Olatokunbo Osibogun ◽  
Robyn L McClelland ◽  
Erin D Michos ◽  
Gregory L Burke ◽  
...  
Keyword(s):  
Alcohol Intake ◽  
Cardiovascular Health ◽  
Multinomial Logistic Regression ◽  
Cvd Risk ◽  
Cross Sectional ◽  
Ideal Cardiovascular Health ◽  
Logistic Regression Models ◽  
Race Ethnicity ◽  
Moderate Alcohol Intake ◽  
Heavy Alcohol Intake

Introduction: Alcohol intake is associated with cardiovascular disease (CVD), with moderate drinkers having a decreased CVD risk compared to non- and heavy drinkers. However, this association is yet to be examined using the AHA Life’s Simple 7 (LS7) metrics as a proxy for cardiovascular health (CVH). We explored associations between alcohol intake and CVH in a multi-ethnic population. Methods: Our cross-sectional analyses included 6,506 MESA participants, free of CVD, aged 45 to 84 years. The LS7 metrics (smoking, physical activity, body mass index, diet, blood pressure, total cholesterol and blood glucose) were each scored 0-2, with 2 indicating “ideal”, 1 “intermediate” and 0 “poor”. Total LS7 score ranged from 0-14. Alcohol data was obtained from personal history and food frequency questionnaires. Participants were classified as never, former or current drinkers. Current drinkers were categorized as <1 (light), 1-2 (moderate) and >2 (heavy) drinks/day. Multinomial logistic regression models assessed associations between alcohol intake and CVH, adjusted for age, sex, race/ethnicity, education, income and health insurance. Results: Mean (SD) age was 62 (10) years, 53% were women; 20% were never, 24% former and 56% current drinkers. Among current drinkers, 44% had <1, 9% 1-2 and 3% >2 drinks/day. Additionally, 47% had inadequate LS7 scores, 33% average and 20% optimal. Compared to never drinkers, those who drank <1 drink/day were more likely to have average and optimal scores, although most of the associations were not significant. Women with 1-2 drinks/day were more likely than men to have optimal scores. Overall and in men, those who drank >2 drinks/day were less likely to have average or optimal scores. Whites and Hispanics with >2 drinks/day were less likely to have optimal and average scores, respectively (Table). Conclusion: Light alcohol intake tended to show favorable CVH, whereas heavy alcohol intake was unfavorable. For moderate alcohol intake, the associations with CVH varied by sex and race/ethnicity.

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