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ObjectiveIn light of the current U.S. Food and Drug Administration (FDA) proposal to ban menthol cigarettes, this study updates trends in menthol cigarette use among adolescents age 13–18 years up to the year 2020. The study considers a potential role for the ban to reduce black/non-black disparities in menthol cigarette use, as well as a counterargument that a ban is not necessary because menthol use is already diminishing.MethodsData are from annual, cross-sectional, nationally representative Monitoring the Future (MTF) surveys of 85 547 8th, 10th and 12th grade students surveyed between 2012 and 2020. Analyses include trends in past 30-day menthol and non-menthol cigarette smoking among the total adolescent population, as well as stratified by race/ethnicity.ResultsDeclines in adolescent menthol and non-menthol cigarette smoking continued through 2020 so that in 2018–2020 past 30-day prevalence for each was less than 1% for non-Hispanic black adolescents and less than 2.2% for non-black adolescents. For non-Hispanic black adolescents no smoking declines in mentholated or non-mentholated cigarette use from 2015–2017 to 2018–2020 were statistically significant, in part because prevalence levels approached a floor effect and had little room to fall further. Menthol levels were lower for non-Hispanic black versus all other adolescents in all study years.ConclusionsContinuing declines in adolescent menthol prevalence indicate that both menthol prevalence and also black/non-black disparities in its use are steadily decreasing. However, these decreases in adolescence will take decades to reach later ages through generational replacement. Efforts to accelerate menthol decreases will require new initiatives to increase cessation among adult menthol users.

IMPORTANCE: US adolescent nicotine vaping increased at a record pace from 2017 to 2019, prompting new national policies to reduce access to flavors of vaping products preferred by youth. OBJECTIVE: To estimate prevalence, perceived harm, and accessibility of nicotine vaping products among US adolescents from 2017 to 2020. DESIGN, SETTING, AND PARTICIPANTS: This survey study includes data from Monitoring the Future, which conducted annual, cross-sectional, school-based, nationally representative surveys from 2017 to 2020 of 10th- and 12th-grade students (results pooled grades, n = 94 320) about vaping and other topics. MAIN OUTCOMES AND MEASURES: Prevalence of self-reported nicotine vaping; vaping brand and flavor used most often; perceived risk of nicotine vaping; and perceived ease of getting vaping devices, nicotine solutions for vaping, and flavored solutions. RESULTS: In 2020, Monitoring the Future surveyed 8660 students in 10th and 12th grade, of whom 50.6% (95% CI, 47%-54%) were female, 13% (95% CI, 8%-21%) were non-Hispanic Black, 29% (95% CI, 21%-40%) were Hispanic, and 53% (95% CI, 42%-63%) were non-Hispanic White. Nicotine vaping prevalence in 2020 was 22% (95% CI, 19%-25%) for past 30-day use, 32% (95% CI, 28%-37%) for past 12-month use, and 41% (95% CI, 37%-46%) for lifetime use; these levels did not significantly change from 2019. Daily nicotine vaping (use on ≥20 days of the last 30 days) significantly declined from 9% (95% CI, 8%-10%) to 7% (95% CI, 6%-9%) over 2019 to 2020. JUUL brand prevalence in the past 30 days decreased from 20% (95% CI, 18%-22%) in 2019 to 13% (95% CI, 11%-15%) in 2020, while use of other brands increased. Among youth who vaped in the past 30 days in 2020, the most often used flavor was fruit at 59% (95% CI, 55%-63%), followed by mint at 27% (95% CI, 24%-30%) and menthol at 7% (95% CI, 5%-9%); significantly fewer reported easy access to vaping devices and nicotine solutions compared with 2019; and 80% (95% CI, 75%-84%) reported they could easily get a vaping flavor other than tobacco or menthol. Among all youth, perceived risk of both occasional and regular nicotine vaping increased from 2019 to 2020. CONCLUSIONS AND RELEVANCE: Increasing US adolescent nicotine vaping trends from 2017 to 2019 halted in 2020, including a decline in daily vaping. Decreases in perceived accessibility of some vaping products, as well as increases in perceived risk of nicotine vaping, occurred from 2019 to 2020. Yet, adolescent nicotine vaping remains highly prevalent, flavors remain highly accessible, and declines in JUUL use were countered by increased use of other brands.

ObjectiveAdolescent cigarette smoking declined steadily and substantially from 2000 to 2018. This paper considers the potential consequences of this ‘great decline’ for the prevalence of other drug use among adolescents.MethodsData are annual, cross-sectional, nationally representative Monitoring the Future surveys of more than 1.2 million US students in 12th, 10th and 8th grades from 2000 to 2018. Analyses include trends in the past 12 months’ non-medical amphetamine, tranquillisers and opioid use overall, among ever and never cigarette smokers, and projected if adolescent cigarette smoking levels had remained at 2000 levels.ResultsWithin groups of ever and never cigarette smokers, the prevalence for each of the three substances has either changed little or overall increased in 2018 as compared with 2000. When the two groups were combined into one pool, the overall prevalence for each of the drugs declined by about half. The decline resulted from the growing group of never smokers, whose levels of non-medical drug use over the study period were at least four times lower than the levels of ever smokers.ConclusionsThe results support the ‘gateway’ prediction that declines in cigarette smoking among adolescents pull downward their non-medical use of amphetamines, tranquillisers and opioids. Continuing to reduce adolescent smoking through policy and programmatic prevention efforts should have further positive spillover effects on adolescent drug use.

MONITORING THE FUTURE NATIONAL SURVEY RESULTS ON DRUG USE, 1975 -20 20 2020 Overview Key Findings on Adolescent Drug Use Lloyd D. Johnston, Ph.D. Richard A. Miech, Ph.D. Patrick M. O'Malley, Ph.D. Jerald G. Bachman, Ph.D. John E. Schulenberg, Ph.D. Megan E. Patrick, Ph.D. Institute for Social Research The University of Michigan Sponsored by National Institute on Drug Abuse The National Institutes of Health Published January 2021 This publication was written by the principal investigators and staff of the Monitoring the Future project at the Institute for Social Research, the University of Michigan, under Research Grant R01 DA 001411 from the National Institute on Drug Abuse. Monitoring the Future national survey results on drug use 1975-2020: Overview, key findings on adolescent drug use. Drug prevalence estimates were the same across survey mode (documented here), while questions on the other topics were subject to survey mode effects in some cases. [Extracted from the article]

The military is described as a social context that contributes to the (re-)initiation or intensification of cigarette smoking. We draw on data from the 1985-2014 National Survey of Drug Use and Health (NSDUH) and the Wisconsin Longitudinal Study (WLS) to conduct complementary sub-studies of the influence of military service on men’s smoking outcomes across the life course. Descriptive findings from an age–period–cohort analysis of NSDUH data document higher probabilities of current smoking and heavy smoking among veteran men across a broad range of cohorts and at all observed ages. Findings from sibling fixed-effects Poisson models estimated on the WLS data document longer durations of smoking among men who served in the military and no evidence that selection explains the observed relationship. Together, these results provide novel and potentially generalizable evidence that participation in the military in early adulthood exerts a causal influence on smoking across the life course.

IMPORTANCE: The public health implications of e-cigarettes depend, in part, on whether e-cigarette use affects the risk of cigarette smoking. OBJECTIVE: To perform a systematic review and meta-analysis of longitudinal studies that assessed initial use of e-cigarettes and subsequent cigarette smoking. DATA SOURCES: PubMed, EMBASE, Cochrane Library, Web of Science, the 2016 Society for Research on Nicotine and Tobacco 22nd Annual Meeting abstracts, the 2016 Society of Behavioral Medicine 37th Annual Meeting & Scientific Sessions abstracts, and the 2016 National Institutes of Health Tobacco Regulatory Science Program Conference were searched between February 7 and February 17, 2017. The search included indexed terms and text words to capture concepts associated with e-cigarettes and traditional cigarettes in articles published from database inception to the date of the search. STUDY SELECTION: Longitudinal studies reporting odds ratios for cigarette smoking initiation associated with ever use of e-cigarettes or past 30-day cigarette smoking associated with past 30-day e-cigarette use. Searches yielded 6959 unique studies, of which 9 met inclusion criteria (comprising 17 389 adolescents and young adults). DATA EXTRACTION AND SYNTHESIS: Study quality and risk of bias were assessed using the Newcastle-Ottawa Scale and the Risk of Bias in Non-randomized Studies of Interventions tool, respectively. Data and estimates were pooled using random-effects meta-analysis. MAIN OUTCOMES AND MEASURES: Among baseline never cigarette smokers, cigarette smoking initiation between baseline and follow-up. Among baseline non–past 30-day cigarette smokers who were past 30-day e-cigarette users, past 30-day cigarette smoking at follow-up. RESULTS: Among 17 389 adolescents and young adults, the ages ranged between 14 and 30 years at baseline, and 56.0% were female. The pooled probabilities of cigarette smoking initiation were 23.2% for baseline ever e-cigarette users and 7.2% for baseline never e-cigarette users. The pooled probabilities of past 30-day cigarette smoking at follow-up were 21.5% for baseline past 30-day e-cigarette users and 4.6% for baseline non–past 30-day e-cigarette users. Adjusting for known demographic, psychosocial, and behavioral risk factors for cigarette smoking, the pooled odds ratio for subsequent cigarette smoking initiation was 3.50 (95% CI, 2.38-5.16) for ever vs never e-cigarette users, and the pooled odds ratio for past 30-day cigarette smoking at follow-up was 4.28 (95% CI, 2.52-7.27) for past 30-day e-cigarette vs non–past 30-day e-cigarette users at baseline. A moderate level of heterogeneity was observed among studies (I2 = 56%). CONCLUSIONS AND RELEVANCE: e-Cigarette use was associated with greater risk for subsequent cigarette smoking initiation and past 30-day cigarette smoking. Strong e-cigarette regulation could potentially curb use among youth and possibly limit the future population-level burden of cigarette smoking.

This study examined changes during the past decade, from 2005 to 2015, in binge and high‐intensity drinking in 7 separate age groups of U.S. 12th graders and young adults. National longitudinal data (N= 6,711) from Monitoring the Future were used to examine trends in consuming 5+, 10+, and 15+ drinks on the same occasion in the past 2 weeks from ages 18 to 29/30 overall and by gender. Results were compared with trends in past 12‐month and 30‐day alcohol use for the same age groups. Between 2005 and 2015, binge (5+) and high‐intensity drinking (10+, 15+) generally decreased for individuals in their early 20s, remained somewhat stable for individuals in their mid‐20s, and increased for individuals at the end of young adulthood (age 29/30). The observed historical trends in binge and high‐intensity drinking were similar to those for past 12‐month and past 30‐day alcohol use for those aged 18 to 20, but diverged for most other age groups in young adulthood. Trends were generally similar for men and women, except that the increase in prevalence began earlier in young adulthood for women than for men. Binge and high‐intensity drinking among U.S. 12th graders and young adults are dynamic phenomena. Prevention and intervention efforts aimed at reducing the harms resulting from 5+, 10+, and 15+ drinking should acknowledge and focus on differences in trends in these behaviors by age and gender. Between 2005 and 2015 among US young adults, participation in binge (5+ drinks per occasion) and high‐intensity (10+, 15+ drinks per occasion) drinking was highest for individuals aged 21/22 to 25/26. Binge and high‐intensity drinking generally decreased for individuals in their early 20s, remained somewhat stable during their mid‐20s, and increased at the end of young adulthood (ages 29/30). Trends were generally similar for men and women, but increases were observed at earlier ages for women than men.

ObjectiveTo prospectively examine vaping as a predictor of future cigarette smoking among youth with and without previous cigarette smoking experience. A secondary aim is to investigate whether vaping may desensitise youth to the dangers of smoking.MethodsAnalysis of prospective longitudinal panel data from the nationally representative Monitoring the Future study. The analysis is based on 347 12th grade students who were part of a randomly selected subsample that completed in-school surveys in 2014 and were resurveyed 1-year later.ResultsAmong youth who had never smoked a cigarette by 12th grade, baseline, recent vapers were more than 4 times (relative risk (RR)=4.78) more likely to report past-year cigarette smoking at follow-up, even among youth who reported the highest possible level of perceived risk for cigarette smoking at baseline. Among 12th grade students who had smoked in the past but had not recently smoked at baseline, recent vapers were twice (RR=2.15) as likely to report smoking in the past 12 months at the follow-up. Vaping did not predict cessation of smoking among recent smokers at baseline. Among never-smokers at baseline, recent vapers were more than 4 times (RR=4.73) more likely to move away from the perception of cigarettes as posing a ‘great risk’ of harm, a finding consistent with a desensitisation process.ConclusionsThese results contribute to the growing body of evidence supporting vaping as a one-way bridge to cigarette smoking among youth. Vaping as a risk factor for future smoking is a strong, scientifically-based rationale for restricting youth access to e-cigarettes.

ObjectiveTo examine what substances US youth vape.MethodsData come from Monitoring the Future, an annual, nationally representative survey of USA 12th-grade, 10th-grade and 8th-grade students. Respondents reported what substance they vaped the last time they used a vaporiser such as an e-cigarette.ResultsAmong students who had ever used a vaporiser, 65–66% last used ‘just flavouring’ in 12th, in 10th and in 8th grade, more than all other responses combined. In all three grades, the percentage using ‘just flavouring’ was above 57% for males, females, African-Americans, Hispanics, Whites, and students both with and without a parent with a college degree. Nicotine use came in a distant second, at about 20% in 12th and 10th grade and 13% in 8th grade. Taking into account youth who vaped nicotine at last use increases national estimates of tobacco/nicotine prevalence in the past 30 days by 24–38% above and beyond cigarette smoking, which is substantial but far less than estimates that assume all vaporiser users inhale nicotine.ConclusionsThese results challenge the common assumption that all vaporiser users inhale nicotine. They (a) call into question the designation of vaporisers and e-cigarettes as ENDS (‘Electronic Nicotine Delivery System’), (b) suggest that the recent rise in adolescent vaporiser use does not necessarily indicate a nicotine epidemic, and (c) indicate that vaporiser users can be candidates for primaryprevention programmes. Finally, the results suggest the importance of developing different rationales for the regulation of vaporiser devices as compared to the regulation of substances marketed for vaporiser use.

•This study compared reservation American Indian students with national U.S. students on COVID-19 outcomes.•More American Indian students reported being tested and testing positive than national students.•More American Indian students reported family/friends testing positive and being hospitalized than national students.•Changes in substance use since COVID-19 began were variable by group.•More national students reported increases in negative emotional states than American Indian students.

•Nicotine vaping is linked to non-cigarette tobacco product use among adolescents.•These links were stronger among non-smokers, putting non-smoking vapers at risk.•As nicotine vaping rises, non-cigarette tobacco product use may be a major issue.

The article presents Volume 2 2015 titled "College Students & Adults Ages 19-55" from "Monitoring the Future: National Survey Results on Drug Use 1975-2015" written by the principal investigators and staff of the Monitoring the Future project at the Institute for Social Research, the University of Michigan.

The article presents Volume 1 titled "Secondary School Students" from "Monitoring the Future: National Survey Results on Drug Use, 1975-2015," by the principal investigators and staff of the Monitoring the Future project at the Institute for Social Research, University of Michigan.

The article presents the results of the Monitoring the Future national survey on drug use of college students, their age-peers who are not attending college, and high school graduates in the U.S. from 1975-2014.

Verbal communicative competence is the main objective after early cochlear implantation in deaf children. However, there are currently no validated instruments to assess a child's real-world communicative abilities. We adopted a rigorous methodological approach to systematically develop the Functioning after Pediatric Cochlear Implantation instrument (FAPCI), a family-centered communicative performance scale based on a conceptual model of functioning established by the World Health Organization.

This article examines low socioeconomic staus (SES) as both a cause and a consequence of mental illnesses by investigating the mutual influence of mental disorders and educational attainment, a core element of SES. The analyses are based on a longitudinal panel design and focus on four disorders: anxiety, depression, antisocial disorder, and attention deficit disorder. The article shows that each disorder has a unique relationship with SES, highlighting the need for greater consideration of antisocial disorders in the status attainment process and for further theoretical development in the sociology of mental disorders to account for disorderspecific relations with SES.

IMPORTANCE: There is concern that nonmedical prescription opioid use is associated with an increased risk of later heroin use initiation in adolescents, but to our knowledge, longitudinal data addressing this topic are lacking. OBJECTIVE: To determine whether nonmedical prescription opioid use is associated with subsequent initiation of heroin use in adolescents. DESIGN, SETTING, AND PARTICIPANTS: This prospective longitudinal cohort study conducted in 10 high schools in Los Angeles, California, administered 8 semiannual surveys from 9th through 12th grade that assessed nonmedical prescription opioid use, heroin use, and other factors from October 2013 to July 2017. Students were baseline never users of heroin recruited through convenience sampling. Cox regression models tested nonmedical prescription opioid use statuses at survey waves 1 through 7 as a time-varying and time-lagged regressor and subsequent heroin use initiation across waves 2 to 8 as the outcome. EXPOSURES: Self-reported nonmedical prescription opioid use (past 30-day [current] use vs past 6-month [prior] use without past 30-day use vs no past 6-month use) at each wave from 1 to 7. MAIN OUTCOMES AND MEASURES: Self-reported heroin use initiation (yes/no) during waves 2 to 8. RESULTS: Of 3298 participants, 1775 (53.9%) were adolescent girls, 1563 (48.3%) were Hispanic, 548 (17.0%) were Asian, 155 (4.8%) were African American, 529 (16.4%) were non-Hispanic white, and 220 (6.8%) were multiracial. Among baseline never users of heroin in ninth grade with valid data (3298 [97% of cohort enrollees]; mean [SD] age, 14.6 [0.4] years), the number of individuals with outcome data available at each follow-up ranged from 2987 (90.6%) to 3200 (97.0%). The mean per-wave prevalence of prior and current nonmedical prescription opioid use from waves 1 to 7 was 1.9% and 2.7%, respectively. Seventy students (2.1%) initiated heroin use during waves 2 to 8. Prior vs no (hazard ratio, 3.59; 95% CI, 2.14-6.01; P < .001) and current vs no (hazard ratio, 4.37; 95% CI, 2.80-6.81; P < .001) nonmedical prescription opioid use were positively associated with subsequent heroin use initiation. For no, prior, and current nonmedical prescription opioid use statuses at waves 1 to 7, the estimated cumulative probabilities of subsequent heroin use initiation by wave 8 (42-month follow-up) were 1.7%, 10.7%, and 13.1%, respectively. In covariate-adjusted models, associations were attenuated but remained statistically significant and current nonmedical prescription opioid use risk estimates were stronger than corresponding associations of nonopioid substance use with subsequent heroin use initiation. CONCLUSIONS AND RELEVANCE: Nonmedical prescription opioid use was prospectively associated with subsequent heroin use initiation during 4 years of adolescence among Los Angeles youth. Further research is needed to understand whether this association is causal.