Article Text

E-cigarette-inclusive smoke-free policies, excise taxes, tobacco 21 and changes in youth e-cigarette use: 2017–2019
  1. Kelvin Choi1,
  2. Toluwa Omole2,
  3. Thomas Wills3,
  4. Ashley L Merianos4
  1. 1 Division of Intramural Research, National Institute on Minority Health and Health Disparities, Bethesda, Maryland, USA
  2. 2 University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
  3. 3 Cancer Center, University of Hawaii, Honolulu, Hawaii, USA
  4. 4 School of Human Services, University of Cincinnati, Cincinnati, Ohio, USA
  1. Correspondence to Dr Kelvin Choi, Division of Intramural Research, National Institute on Minority Health and Health Disparities, Bethesda, MD 20892, USA; kelvin.choi{at}nih.gov

Abstract

Background We examined whether the implementation of electronic cigarette (e-cigarette) policies at the state level (e-cigarette-inclusive smoke-free (ESF) policies, excise taxes on e-cigarettes and raising tobacco legal purchasing age to 21 years (T21)) affected recent upward trends in youth e-cigarette use.

Methods Data were from participants from 34 US states who completed the Youth Risk Behavior Survey (YRBS) state surveys in 2017 and 2019 (n=278 271). States were classified as having or not having ESF policies, any e-cigarette excise tax and T21 policies by 1 January 2019. Participants reported ever, past 30-day and frequent (≥20 days) e-cigarette use; past 30-day combustible cigarette smoking; and age, sex and race/ethnicity. Weighted multivariable logistic regression models assessed whether changes in e-cigarette use over time differed by policy status, adjusting for participants’ demographics and combustible cigarette smoking.

Results Prevalence of ever and past 30-day youth e-cigarette use in states with ESF policies decreased during 2017–2019, while the prevalence of these measures in states without ESF policies increased. States with T21 policies showed non-significant changes in prevalence of ever and past 30-day youth e-cigarette use, whereas states without T21 policies showed significant increases in ever and past 30-day youth e-cigarette use. States with ESF and T21 policies showed slower increases in youth frequent e-cigarette use. E-cigarette excise taxes were not associated with decreasing prevalence of youth e-cigarette use.

Conclusions State-level ESF and T21 policies could be effective for limiting growth of youth e-cigarette use despite an overall national increase. Higher e-cigarette excise tax rates may be needed to effectively reduce youth e-cigarette use.

  • public policy
  • electronic nicotine delivery devices
  • taxation
  • surveillance and monitoring

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Introduction

Electronic cigarette (e-cigarette) use is increasingly prevalent among US youth1 2 and young adults3 while holding steady among older adults in recent years. This is in part due to their modern designs of e-cigarette devices, variety of flavour options and lower perceived harm compared with combustible cigarette smoking.4 5 E-cigarette use poses health risks to the users6–8 as well as bystanders.9

Consequently, a growing number of states in the USA have passed regulations related to e-cigarettes. Specifically, on 20 December 2019, the federal minimum age of sales of all tobacco products (including e-cigarettes) was raised to 21 years (T21), following Hawaii and Maine (enacted in 2016 and 2018, respectively). T21 policies have been associated with lowering youth combustible cigarette smoking.10 Furthermore, as of 31 December 2019, 14 states, the District of Columbia and Puerto Rico enacted e-cigarette-inclusive smoke-free (ESF) policies; and 20 states, the District of Columbia, Puerto Rico and the US Virgin Islands have imposed excise taxes on e-cigarettes.11 Previous studies showed mixed results of the impact of setting e-cigarette minimum legal sales age at 18 years on youth cigarette smoking and substance use.12–16 Additionally, prior research suggests that ESF policies and e-cigarette excise taxes are associated with lower prevalence of e-cigarette use among adults.17 18 However, evidence on how these policies affect youth e-cigarette use is lacking. Therefore, the current study aims to examine how these policies are associated with trends in youth e-cigarette use in the USA.

Methods

Study population

The Youth Risk Behavior Survey (YRBS) is sponsored by the US Centers for Disease Control and Prevention, and is conducted every 2 years as part of the Youth Risk Behavior Surveillance System (YRBSS) to collect data related to various health behaviours among a representative sample of 9th through 12th grade students. Additional to the nationally representative sample, states can opt for state representative samples. These data were pooled in the YRBS combined state dataset (https://www.cdc.gov/healthyyouth/data/yrbs/data.htm). Specific details of the YRBSS methodology can be found elsewhere.19 The present analysis uses data from 34 states that opted for state-representative samples in 2017 and 2019 with information on e-cigarette and combustible cigarette use (n=278 271) including: Alaska, Arizona, Arkansas, Colorado, Hawaii, Idaho, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Michigan, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, New York, North Carolina, North Dakota, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia and Wisconsin (see online supplemental figure 1 for details on sample inclusion process).

Measures

State policy statuses as of 1 January 2019 were ascertained through internet searches (eg, Campaign for Tobacco-Free Kids and state health department websites). States were classified into having ESF policies (Hawaii, New York, North Dakota, Rhode Island, Utah and Vermont), having T21 policies (Hawaii, Maine) and having e-cigarette excise taxes (Kansas, Louisiana, North Carolina, Pennsylvania and West Virginia), versus not having each of these policies (see online supplemental table 1 for policy implementation dates). We were unable to further develop the excise tax measure for several reasons. First, some states tax e-cigarettes by their nicotine capacity. Since capacities of pods vary by brand, we are unable to determine the percent of tax proportion to price. Second, without accurate pricing information on e-cigarettes, calculating tax-to-price ratios was very challenging. Third, some states tax e-cigarettes at the wholesale instead of retail level. The lack of information on e-cigarette wholesale prices hindered us from calculating the proportion of price due to tax.

In the surveys, students were asked if they ever used an electronic vapour product (yes/no) and the number of days they used an electronic vapour product during the 30 days prior to the survey. Students who used e-cigarettes for ≥1 day were categorised as being past 30-day e-cigarette users, and students who did not use e-cigarettes during the same time period were categorised as non-users. Additionally, students who used e-cigarettes on ≥20 days were classified as frequent past 30-day users. Students also reported the number of days they smoked combustible cigarettes during the 30 days prior to the survey. Those who reported ≥1 day were categorised as past 30-day combustible cigarette smokers (vs non-smokers). Information on age, sex and race/ethnicity was also ascertained.

Statistical analysis

Data were weighted to be representative of the participating states and to account for sampling methodology. Weighted prevalence of e-cigarette use behaviours were estimated by year (2017 vs 2019) and policy statuses, and relative per cent change (R%∆) over time were calculated. Weighted logistic regression models were used to compare differences in youth e-cigarette use (ever, past 30-day, frequent) by each policy status using year×policy interaction terms. These models controlled for age, sex, race/ethnicity and past 30-day combustible cigarette smoking. All analyses were conducted in SAS V.9.3 (SAS Institute).

Results

Overall, 37.1% of US youth in the participating states were 12–15 years old (vs 16–18 years old); 49.4% were female; 22.3% were Hispanic/Latino, 53.0% were non-Hispanic White, 14.0% were non-Hispanic Black or African American, 3.3% were non-Hispanic Asian, 1.4% were non-Hispanic American Indian/Alaskan Native, 0.5% were non-Hispanic Native Hawaiian/Pacific Islander, 3.3% were non-Hispanic multi-race and 2.3% unspecified; and 7.8% reported past 30-day combustible cigarette smoking. In 2019, 13.9% of US youth in the participating states were covered by ESF policies, 17.6% by e-cigarette excise tax, and 1.3% by T21 policies.

Between 2017 and 2019, prevalence of ever and past 30-day youth e-cigarette use in states with ESF policies decreased, while the prevalence of these measures in states without ESF policies increased (table 1). States with T21 policies showed non-significant changes in prevalence of ever and past 30-day youth e-cigarette use, whereas states without T21 policies showed significant increases in ever and past 30-day youth e-cigarette use. States with ESF and T21 policies also showed slower increase in youth frequent e-cigarette use than states without these policies. Further analysis of the YRBS 2017–2019 data showed that fewer youth bought their e-cigarettes in retail stores in states with T21 policies (from 14.3% in 2017 to 6.5% in 2019) compared with states without T21 policies (20.3% in 2017 and 20.2% in 2019). However, more youth had someone else purchase e-cigarettes for them in states with T21 policies (from 10.2% in 2017 to 19.3% in 2019). Compared with states without e-cigarette excise tax, states with e-cigarette excise taxes showed similar increasing trends in youth ever e-cigarette use, but faster upward trends in youth past 30-day and frequent e-cigarette use.

Table 1

Weighted prevalence estimates, relative percent changes and trends in youth e-cigarette use by e-cigarette policies, 2017–2019 Youth Risk Behavior Surveys

Discussion

Given the dearth of research in the impact of state-level e-cigarette policies among US youth e-cigarette use, our findings provided insights that may further guide the adoption and implementation of these policies in protecting youth from e-cigarette use. It is noteworthy that despite the dramatic increase in youth e-cigarette use during 2017–2019,1 2 states with ESF and T21 policies showed either a decline or no changes in prevalence of youth ever and past 30-day e-cigarette use, and slower increases in frequent e-cigarette use compared with states without these policies. Our findings suggest that ESF and T21 policies could be effective in combating the youth e-cigarette epidemic. As the USA implemented a federal T21 policy at the end of 2019, ensuring high retailer compliance and discouraging proxy purchases will be important to ensure the effectiveness of the policy over time.

We did not find an association between e-cigarette excise taxes and declines in youth e-cigarette use from 2017 to 2019. While youth are known to be price sensitive to e-cigarettes,20 state e-cigarette taxes may not be high enough to achieve their intended effect. Currently, Kansas, Louisiana and North Carolina have e-cigarette tax rates at US$0.05/mL of e-liquid, West Virginia at US$0.075/mL of e-liquid and Pennsylvania at 40% wholesale price.21 Given that JUUL e-liquid cartridges (commonly known as ‘pods’) have a 0.7 mL capacity, the e-cigarette excise taxes in these states are much less than combustible cigarettes (eg, US$1.29/pack in Kansas). Therefore, higher e-cigarette tax rates will be needed to reduce youth e-cigarette use.

Several limitations of our study should be considered. First, the data only cover 34 states and therefore may not be generalisable to states outside of this sample. Second, our analysis did not account for local jurisdictions that adopted these polices in states that did not. Third, we did not control for socioeconomic status because relevant measures were unavailable in YRBS. Fourth, we were unable to assess how different tax rates may influence youth e-cigarette use because of lack of e-cigarette pricing information. Despite these limitations, our findings suggest that e-cigarette policies at the state level (ESF policies and raising legal tobacco sales age to 21 years) could reduce youth e-cigarette use despite the national increasing trend.1 2 Further state-level and individual-level research is needed to understand why these policies do not reduce youth frequent e-cigarette use and to determine effective e-cigarette excise tax rates to further strengthen these policies and combat the youth e-cigarette use epidemic.

What this paper adds

  • The current analysis shows that state e-cigarette-inclusive smoke-free (ESF) policies that included e-cigarettes and raising tobacco legal sales age to 21 years, but not e-cigarette excise taxes, were associated with either declines or no changes in trends in youth e-cigarette ever use and past 30-day use, and slower increases in youth frequent e-cigarette use, despite national increases.

  • Implementing state ESF policies, reducing commercial and social sources for e-cigarette acquisition, and raising e-cigarette excise taxes have potential to reduce youth e-cigarette use.

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References

Supplementary materials

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Footnotes

  • Contributors KC and TO conceptualised the research question; KC acquired the data and performed the analyses; all authors interpreted the findings; KC drafted the initial manuscript; all authors reviewed the intellectual content of the manuscript and approved its final version for publication.

  • Funding KC was supported by the National Institute on Minority Health and Health Disparities Division of Intramural Research. ALM was supported by the National Institute of Environmental Health Sciences (Grant Number R21ES032161).

  • Disclaimer Opinions and comments expressed are the authors’ own and do not represent those of the US Government, Department of Health and Human Service, National Institutes of Health or National Institute on Minority Health and Health Disparities.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.