A new measure of youth cigarette smoking

Dramatic Reductions in Cigarette Smoking Prevalence among High School Youth from 1991 to 2022 Unlikely to Have Been Undermined by E-Cigarettes

There is concern that youth e-cigarette use could lead youth to initiate cigarette smoking. This study identifies epochs of cigarette smoking among U.S. high school students in three commonly utilized national school-based surveys over three decades without a priori assumptions. We examined trends in ever and current cigarette smoking among high school youth from 1991 to 2022 in three datasets: Monitoring the Future (MTF), the National Youth Risk Behavior Survey (NYRBS) and the National Youth Tobacco Survey (NYTS) via Joinpoint regression. High stable rates of ever smoking were noted from 1991 to 1999 (NYRBS and MTF) and then significantly declined from 1999 to 2013; declines accelerated through to 2022. In the NYTS, ever cigarette smoking significantly declined from 1999 to 2018 and then declines accelerated to 2022. Current cigarette smoking reached its peak in 1997, and then significantly declined from 1997 to 2013 in the NYRBS and MTF and similarly in the NYTS from 1999 to 2018. Declines in current smoking then accelerated in all surveys through to 2022. These findings suggest dramatic successes in reducing youth smoking since the late 1990s, with more rapid declines in prevalence in the past decade.

Cigarette smoking frequency, quantity, dependence, and quit intentions during adolescence: Comparison of menthol and non-menthol smokers (National Youth Tobacco Survey 2017-2020)

BACKGROUND

Use of menthol cigarettes is linked to sustained cigarette smoking adults. However, the relationship between menthol and smoking profile has not been thoroughly explored in adolescent cigarette smokers. This study examines the relationship between use of menthol cigarette and smoking frequency (i.e., days per month), quantity (i.e., cigarettes per day), quit intentions, and nicotine dependence (i.e., craving tobacco; use within 30 min of waking).

METHODS

We pooled four years (2017-2020) of cross-sectional data from the National Youth Tobacco Survey. Participants were 2699 adolescent, past 30-day cigarette smokers. Multinomial logistic regression models examined the relationship between menthol and cigarette smoking frequency and quantity. Logistic regressions examined the relationship between menthol and intentions to quit smoking and nicotine dependence. Models controlled for socio-demographics and other tobacco use.

RESULTS

Menthol cigarette smokers had greater risk of smoking 20-30 days per month relative to 1-5 days per month (RRR: 1.90; 95% CI: 1.41 - 2.54) and greater risk of smoking 11+ cigarettes per day relative to 1 or less cigarettes per day (RRR: 1.35; 95% CI: 1.01 - 1.80), adjusting for covariates. Menthol cigarette smokers had lower odds of intentions to quit smoking (Adj OR: 0.70; 95% CI: 0.58 - 0.84) but great odds of craving tobacco (OR: 1.47; 95% CI: 1.20 - 1.81) and using tobacco within 30 minutes of waking (OR: 1.63; 95% CI: 1.29 - 2.05), adjusting for covariates CONCLUSION: Findings suggest the relationship between menthol and cigarette smoking profile (i.e., frequency, quantity, quit intentions) is different for youth than that of adults. This study adds adolescent-specific evidence to existing research that suggests menthol reinforces sustained cigarette smoking among youth.

Effects of adolescent substance use disorders on central cholinergic function

Adolescence is a transitional period between childhood and adulthood, in which the individual undergoes significant cognitive, behavioral, physical, emotional, and social developmental changes. During this period, adolescents engage in experimentation and risky behaviors such as licit and illicit drug use. Adolescents' high vulnerability to abuse drugs and natural reinforcers leads to greater risk for developing substance use disorders (SUDs) during adulthood. Accumulating evidence indicates that the use and abuse of licit and illicit drugs during adolescence and emerging adulthood can disrupt the cholinergic system and its processes. This review will focus on the effects of peri-adolescent nicotine and/or alcohol use, or exposure, on the cholinergic system during adulthood from preclinical and clinical studies. This review further explores potential cholinergic agents and pharmacological manipulations to counteract peri-adolescent nicotine and/or alcohol abuse.

Trends in Nicotine Product Use Among US Adolescents, 1999-2020

IMPORTANCE

With increasing e-cigarette use among US adolescents and decreasing use of other tobacco products, it is unclear how total use of nicotine products, and its long-term health risks, have changed. The Centers for Disease Control and Prevention's standard measure-any tobacco product use in the past 30 days-considers neither frequency of use nor product risk implications.

OBJECTIVE

To investigate how nicotine product use, including frequency of use, and its associated risks have changed among middle school and high school students since 1999.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data from the 1999-2020 National Youth Tobacco Survey, an in-school survey of a nationally representative sample of students in grades 6 through 12; each survey recruited between 15 000 and 36 000 participants.

EXPOSURES

Nicotine product use in the past 30 days.

MAIN OUTCOMES AND MEASURES

Use of nicotine products assessed by nicotine product days (NPDs), the number of days that the average student consumed these products in the past 30 days. Risk-adjusted NPDs account for differential long-term health risks of various products.

RESULTS

This study included 16 years of cross-sectional survey data. Each survey recruited between 15 000 and 36 000 participants in grades 6 through 12 (male students: mean, 50.4% [minimum, 48.5%; maximum, 58.4%]; mean age, 14.5 years [minimum, 14.0 years; maximum, 14.7 years]). Nationally representative cross-sectional data for high school students showed that NPDs decreased steadily from 5.6 days per month in 1999 (95% CI, 5.0-6.2 days per month) to 2.2 days per month in 2017 (95% CI, 1.9-2.6 days per month), increased to 4.6 days per month in 2019 (95% CI, 4.1-5.1 days per month), and then decreased to 3.6 days per month in 2020 (95% CI, 3.0-4.1 days per month). For a risk weight of 0.1 for e-cigarettes, compared with combustible products, risk-adjusted NPDs decreased from 2.5 days per month in 2013 (95% CI, 2.2-2.9 days per month) (prior to the popularity of e-cigarettes) to 2.0 days per month in 2019 (95% CI, 1.6-2.5 days per month) and 1.4 days per month in 2020 (95% CI, 1.0-1.8 days per month). However, with a risk weight of 1.0 for e-cigarettes (identical to that of combustible products), risk-adjusted NPDs increased to 5.3 days per month in 2019 (95% CI, 4.4-6.2 days per month) and 3.9 days per month in 2020 (95% CI, 3.1-4.7 days per month). Similar trends were found for middle school students.

CONCLUSIONS AND RELEVANCE

This study suggests that NPDs represent an improvement, albeit an imperfect one, compared with any 30-day tobacco product use by incorporating the frequency of use of various products. By distinguishing products, NPDs permit consideration of the health consequences associated with different mixes of products over time. Health risks of adolescent nicotine product use could have decreased during vaping's popularity if assessment of the long-term risks associated with vaping compared with those of smoking is low. There is a need to closely monitor youth nicotine and tobacco product use patterns.

Toward a More Comprehensive Index of Youth Cigarette Smoking: Average Number of Cigarettes Smoked per Day among Students in the United States over Two Decades

Reliance on 30-day prevalence as the principal means of assessing trends in youth cigarette smoking may understate the magnitude of the decrease in youth smoking, because prevalence does not account for smoking frequency or intensity. We analyzed Youth Risk Behavior Survey (YRBS) data from 1997 through 2017 and estimated cigarette smoking prevalence (any smoking in the previous 30 days), frequency (number of smoking days in the previous 30 days), and intensity (cigarettes per day on smoking days). We calculated average cigarettes smoked per day (ACSD) as the product of frequency and intensity, divided by 30. We estimated ACSD among all high school students and by smoking frequency group (i.e., 1–5, 6–9, 10–19, 20–29, or 30 of the previous 30 days), sex, grade level, and race/ethnicity. Among US high school students, ACSD declined by 86.7% from 1997 to 2017, while prevalence declined by 75.8%. Within smoking frequency groups, smoking intensity remained similar over the two decades. However, changes in ACSD over time varied by race/ethnicity; ACSD increased among Hispanic and non-Hispanic Black daily smokers while it decreased among daily smokers of other race/ethnicity groups. ACSD declined more substantially than smoking prevalence over two decades but remained virtually unchanged within smoking frequency groups, indicating that changes in frequency, rather than intensity, drove this decline. Prevalence estimates alone understate the degree to which youth in the United States have rejected smoking, and racial/ethnic disparities in smoking intensity are hidden when we limit our lens to prevalence-only measures.

Correlates of smoker identity among intermittent and light daily young adult smokers: Findings from Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study

Identifying as a 'smoker' has been associated with many cigarette smoking-related behaviors, including less frequent and intense cigarette use. Additional smoking behaviors (e.g., use of cannabis or cigars) also may contribute to self-identification as a 'smoker'. This study compared correlates of identifying as a 'smoker' and measurement strategies for non-daily cigarette consumption among young-adult intermittent and light daily smokers. Using data from Wave 1 of the PATH Study, different measurements of past 30-day non-daily cigarette use were evaluated. Weighted logistic regression models were used to compare associations with self-identification as a smoker among 18-24 year-old intermittent and light daily smokers (n = 1531). Use of other smoked products (combustible tobacco, cannabis) and other documented correlates of smoker identity were evaluated. As frequency of monthly smoking increased, self-identification as a smoker increased (1-5 days = 24%, 6-19 days = 48%, 20-29 days = 78%, light daily smokers = 93%, daily smokers using >5 cigarettes per day = 99%). Self-reported smoking status 12 months ago significantly contributed to current identification as a smoker. Smoking cigars daily or using cannabis in the past 30 days were each positively associated with smoker identity. Different measurement approaches to non-daily cigarette use offer different advantages in terms of interpretability and granularity of information. Compared to daily smokers, non-daily smokers exhibit significant variability in identifying as a smoker, and systematic correlates of smoker identification are apparent. These findings may serve to enhance understanding of non-daily smokers and potential targets for intervention among this growing subpopulation of tobacco users.