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Vuolo M, Orsini MM, Staff J, Maggs JL, Kelly BC. Comprehensive vaping bans are associated with lower odds of initiation into electronic nicotine delivery systems use among young people. Addiction 2024; 119:1037-1047. [PMID: 38413382 DOI: 10.1111/add.16450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 01/06/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND AND AIMS E-cigarette and other electronic nicotine delivery systems (ENDS) use has grown considerably over the past decade, with notable increases among young people. US state policy contexts for ENDS and tobacco may shape initiation into ENDS use among adolescents as they age into early adulthood. We aimed to determine whether state-level comprehensive vaping ban policies reduce the odds of youth initiation into ENDS use, net of additional state-level ENDS and tobacco policies, as well as the youth's cigarette smoking status. DESIGN Longitudinal data from the Population Assessment of Tobacco and Health study were merged with a state-year database on tobacco and ENDS policies. Multivariable discrete-time event history models of ENDS initiation were estimated. SETTING United States. PARTICIPANTS Twenty thousand twelve youth assessed over six waves from 2013 to 2019 (n = 53 974 observations). MEASUREMENT We examined comprehensive indoor vaping bans (i.e. 100% vape-free workplaces, restaurants and bars) as a key factor in initiation into ENDS use (i.e. first instance of vaping) from age 13 to 22. FINDINGS Among young people, residing in a state with a comprehensive vaping ban was associated with 18% lower odds of ENDS initiation (odds ratio = 0.82; 95% confidence interval =[0.71, 0.94]), even after controlling for other state ENDS and tobacco policies, the youth's cigarette smoking and socio-demographic background and state-level covariates. CONCLUSIONS In the United States, state-level vaping bans (i.e. 100% vape-free workplaces, restaurants and bars) are associated with reduced odds of youth initiation into electronic nicotine delivery systems use.
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Affiliation(s)
- Mike Vuolo
- Department of Sociology, The Ohio State University, Columbus, OH, USA
| | - Maria M Orsini
- Department of Sociology, The Ohio State University, Columbus, OH, USA
| | - Jeremy Staff
- Department of Sociology and Criminology, The Pennsylvania State University, University Park, PA, USA
| | - Jennifer L Maggs
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
| | - Brian C Kelly
- Department of Sociology, Purdue University, West Lafayette, IN, USA
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Assari S, Najand B, Sheikhattari P. Household Income and Subsequent Youth Tobacco Initiation: Minorities' Diminished Returns. JOURNAL OF MEDICINE, SURGERY, AND PUBLIC HEALTH 2024; 2:100063. [PMID: 38425566 PMCID: PMC10900246 DOI: 10.1016/j.glmedi.2024.100063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Introduction Household income, a prominent socioeconomic status (SES) indicator, is known to mitigate youth engagement in various health risk behaviors, including tobacco use. Nevertheless, the Minorities' Diminished Returns theory suggests that this protective effect may be less pronounced for racial and ethnic minorities compared to majority groups. This study aimed to investigate the protective role of high household income against tobacco use among youth and explore potential variations across different racial and ethnic groups. Methods Conducted as a longitudinal analysis, this study utilized data from the initial three years of the Adolescent Brain Cognitive Development (ABCD) Study spanning 2016-2022. The cohort consisted of 11,875 American youth aged 9-10 years, tracked over a three-year period. The dependent variable was tobacco initiation, irrespective of the product, while household income served as the independent variable. Covariates included youth age, gender, family education, structure, and employment, with race/ethnicity acting as the moderating variable. Results Out of the 8,754 American youth who were non-smokers at baseline, 3.1% (n = 269) initiated tobacco use during the 30-month follow-up, while 96.9% (n = 8,485) remained non-smokers. A family income exceeding $100,000 per year was associated with a lower hazard ratio for tobacco initiation (transitioning to ever-use) over the follow-up period (HR = 0.620, p = 0.022). However, household income of $50-100k exhibited significant interactions with race/ethnicity on tobacco initiation, indicating weaker protective effects for Black (HR for interaction = 7.860, p < 0.001) and Latino (HR for interaction = 3.461, p = 0.001) youth compared to non-Latino White youth. Conclusions Within the United States, the racialization and minoritization of youth diminish the protective effects of economic resources, such as high household income, against the transition to tobacco use. Non-Latino White youth, the most socially privileged group, experience greater protection from their elevated household income regarding tobacco initiation compared to Black and Latino youth, who face minoritization and racialization. Policymakers should address not only the SES gap but also the mechanisms contributing to the heightened risk of tobacco use among racialized and minoritized youth from affluent backgrounds.
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Affiliation(s)
- Shervin Assari
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Department of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Marginalization-related Diminished Returns (MDRs) Center, Los Angeles, CA, United States
| | - Babak Najand
- Marginalization-related Diminished Returns (MDRs) Center, Los Angeles, CA, United States
| | - Payam Sheikhattari
- Department of Behavioral Health Science, School of Community Health and Policy, Morgan State University, Baltimore, MD, United States
- Prevention Sciences Research Center, Morgan State University, Baltimore, MD, United States
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He Y, Fong GT, Cummings KM, Hyland A, Shang C. The association between excise taxes and smoking and vaping transitions-Findings from the 2016-2020 ITC United States surveys. THE INTERNATIONAL JOURNAL OF DRUG POLICY 2024; 126:104372. [PMID: 38422713 PMCID: PMC11200209 DOI: 10.1016/j.drugpo.2024.104372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 02/19/2024] [Accepted: 02/22/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND While a growing number of studies examined the effect of e-cigarette (EC) excise taxes on tobacco use behaviors using cross-sectional surveys or sales data, there are currently no studies that evaluate the impact of EC taxes on smoking and vaping transitions. METHODS Using data from the US arm of the 2016-2020 International Tobacco Control Four Country Smoking and Vaping Survey (ITC 4CV), we employed a multinomial logit model with two-way fixed effects to simultaneously estimate the impacts of cigarette/EC taxes on the change in smoking and vaping frequencies. RESULTS Our benchmark model suggests that a 10 % increase in cigarette taxes led to an 11 % reduction in smoking frequencies (p < 0.01), while EC taxes did not have a significant effect on smoking frequencies. CONCLUSION Our findings suggest that increasing cigarette taxes may serve as an effective means of encouraging people who smoke to cut back on smoking or quit smoking. The impact of increasing EC taxes on smoking transitions is less certain at this time.
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Affiliation(s)
- Yanyun He
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
| | - Geoffrey T Fong
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada; School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada; Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - K Michael Cummings
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Andrew Hyland
- Department of Health Behaviors, Division of Cancer Prevention and Population Sciences, Roswell Park Comprehensive Cancer Center, USA
| | - Ce Shang
- Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Department of Internal Medicine, Medical Oncology Division, The Ohio State University, Columbus, OH, USA
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Avery RJ, Kalaji M, Niederdeppe J, Mathios A, Dorf M, Byrne S, Safi AG. Perceived threat and fear responses to e-cigarette warning label messages: Results from 16 focus groups with U.S. youth and adults. PLoS One 2023; 18:e0286806. [PMID: 37352255 PMCID: PMC10289367 DOI: 10.1371/journal.pone.0286806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 05/23/2023] [Indexed: 06/25/2023] Open
Abstract
AIMS A warning on e-cigarette packaging is one way the U.S. government can inform the public of known harms of e-cigarette use. Currently, the only required warning on these products is: "WARNING: This product contains nicotine. Nicotine is an addictive chemical." This exploratory study aims to inform potential future investigations and FDA decisions regarding alternative warnings that may generate fear in addition to being intentionally informational. METHOD Data were obtained from responses by 16 online focus groups with adult (N = 47, age range = 18-64) and youth (N = 32, age range 14-16) participants with various smoking and vaping experiences. We showed each focus group a set of hypothetical e-cigarette warning labels to determine how they respond to currently existing public statements that communicate information on the toxicity of ingredients in e-cigarettes, potential health risks, addiction to nicotine, and the uncertainty of the science regarding health effects of using these products. The focus group interviews were audio recorded and transcribed. Transcripts were subjected to a multiphase coding process to identify common response themes. Codes derived from the Extended Parallel Processing Model were then applied to understand impact of potentially fear-inducing language by warning category and age group. RESULTS For adults, all warnings-except those about addiction-gave rise to spontaneous danger control (intended) responses, such as quit intentions. Warnings highlighting cognitive and uncertain effects may be particularly promising for adult consumers of tobacco products because both gengerated danger control and response efficacy without evidence of fear control. However, responses also suggest that warnings risk discouraging some adults who use combustible cigarettes from transitioning to e-cigarettes for harm reduction. For youth, while evidence of response efficacy and danger control emerged among youth exposed to messages in all warning categories but one-addiction-unproductive reactions indicative of fear control were also prevalent among youth respondent across most warning types. On average, youth were more skeptical than adults about the harms of using e-cigarettes. POLICY IMPLICATIONS Implications of study findings for the development of future effective e-cigarette warning messages are explored.
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Affiliation(s)
- Rosemary J. Avery
- Jeb E. Brooks School of Public Policy, Cornell University, Ithaca, NY, United States of America
| | - Motasem Kalaji
- Department of Communication Studies, California State University, Northridge, Los Angeles, CA, United States of America
| | - Jeff Niederdeppe
- Jeb E. Brooks School of Public Policy, Cornell University, Ithaca, NY, United States of America
- Department of Communication, Cornell University, Ithaca, NY, United States of America
| | - Alan Mathios
- Jeb E. Brooks School of Public Policy, Cornell University, Ithaca, NY, United States of America
- Department of Economics, Cornell University, Ithaca, NY, United States of America
| | - Michael Dorf
- Law School, Cornell University, Ithaca, NY, United States of America
| | - Sahara Byrne
- Department of Communication, Cornell University, Ithaca, NY, United States of America
| | - Amelia Greiner Safi
- Department of Communication, Cornell University, Ithaca, NY, United States of America
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY, United States of America
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Khanna N, Klyushnenkova E, Gaynor A, Dark M, Melamed J, Bennett M, Deepak J. Integrating a Systematic, Comprehensive E-Cigarette and Vaping Assessment Tool into the Electronic Health Record. J Am Board Fam Med 2023; 36:405-413. [PMID: 37290827 PMCID: PMC11221411 DOI: 10.3122/jabfm.2022.220410r1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/08/2023] [Accepted: 02/13/2023] [Indexed: 06/10/2023] Open
Abstract
BACKGROUND Recently, the use of electronic cigarettes increased sharply, leading to increased e-cigarette, or Vaping Product Use-Associated Lung Injury (EVALI), and other acute pulmonary conditions. There is an urgent need for clinical information about e-cigarette users to identify factors that contribute to EVALI. We developed an e-cigarette/vaping assessment tool (EVAT) that was integrated into the Electronic Health Record (EHR) of a large state-wide medical system and initiated a system-wide dissemination and education to support its use. METHODS EVAT documented current vaping status, history, and e-cigarette content (nicotine, cannabinoids, and/or flavoring). Educational materials and presentations were developed via a comprehensive literature review. EVAT utilization in the EHR was assessed quarterly. Patients' demographic data and clinical site name were also collected. RESULTS The EVAT was built, validated, and integrated with the EHR in July 2020. Live and virtual seminars were conducted for prescribing providers and clinical staff. Asynchronous training was offered using podcasts, e-mails, and Epic tip sheets. Participants were informed about vaping harm and EVALI and instructed on the use of EVAT. As of December 31, 2022, EVAT was used 988,181 times, with 376,559 unique patients evaluated. Overall, 1,063 hospital units and affiliated ambulatory clinics used EVAT, including 64 Primary Care, 95 Pediatrics, and 874 Specialty sites. CONCLUSIONS EVAT was successfully implemented. Continued outreach efforts are needed to further increase its usage. Education materials should be enhanced to help providers to reach youth and vulnerable populations and connect patients to the tobacco treatment resources.
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Affiliation(s)
- Niharika Khanna
- From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
| | - Elena Klyushnenkova
- From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
| | - Adam Gaynor
- From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
| | - Michael Dark
- From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
| | - Julia Melamed
- From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
| | - Melanie Bennett
- From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
| | - Janaki Deepak
- From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
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Bluestein MA, Kuk AE, Harrell MB, Chen B, Hébert ET, Pérez A. Longitudinal Transition Patterns of Tobacco Use Among Youth and Young Adults Never Tobacco Product Users: Findings From the Population Assessment of Tobacco and Health Study, 2014-2019. Tob Use Insights 2023; 16:1179173X231161314. [PMID: 36923154 PMCID: PMC10009036 DOI: 10.1177/1179173x231161314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023] Open
Abstract
Aims To identify, visualize, and describe the prevalence of within-product patterns of tobacco use behaviors for e-cigarettes, cigarettes, and hookah (TP) by 3 age groups (ie, 12-14-year-old, 15-17-year-old, and 18-20-year-old) with U.S. nationally representative data. Methods In 2014-2015, never users of each (TP) and age group were followed-up longitudinally between 2015-2019 using five transition states: non-susceptible to (TP) use, susceptible to (TP) use, ever (TP) use, past 30-day (TP) use, and discontinued past 30-day (TP) use. Sankey diagrams were used to graphically visualize patterns in tobacco use behaviors across time. Results Among 12-14-year-old who were never users and susceptible to each TP from 2014-2017, 7% initiated ever e-cigarette use and 9.4% first reported past 30-day use by 2018-2019; 5.8% initiated ever cigarette use and 3% first reported past 30-day cigarette use by 2018-2019; and, 4.5% initiated ever hookah use and 1.0% first reported past 30-day hookah use by 2018-2019. Among 15-17-year-old who were never users and susceptible to each TP from 2014-2017, 4.2% initiated ever e-cigarette use and 9.0% first reported past 30-day use by 2018-2019; 4.5% initiated ever cigarette use and 3% first reported past 30-day cigarette use by 2018-2019; and, 4.5% initiated ever hookah use and 2.4% first reported past 30-day hookah use by 2018-2019. Among 18-20-year-old who were never users and susceptible to each TP from 2014-2017, 3.2% initiated ever e-cigarette use and 3.6% first reported past 30-day e-cigarette use by 2018-2019; 3.0% initiated ever cigarette use and 2.3% first reported past 30-day cigarette use; and, 2.8% initiated ever hookah use and 1.0% first reported past 30-day hookah use by 2018-2019. Conclusions From 2014 to 2019, onset and progression of e-cigarette, cigarette, and hookah use occurred more frequently in 12-14 and 15-17-year-old than in young adults 18-20-year-old.
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Affiliation(s)
- Meagan A Bluestein
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
| | - Arnold E Kuk
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
| | - Melissa B Harrell
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.,Department of Epidemiology, Human Genetics and Environmental Sciences, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health in Austin Campus, Austin, TX, USA
| | - Baojiang Chen
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
| | - Emily T Hébert
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA.,Department of Health Promotion and Behavioral Sciences, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
| | - Adriana Pérez
- Michael & Susan Dell Center for Healthy Living, the University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, USA
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Liu J, Keller-Hamilton B, Patterson JG, Lee DN, Wedel AV, Vázquez-Otero C, Stevens EM. How Age and E-cigarette Use Status Interact to Influence E-cigarette Ad Perceptions. Subst Use Misuse 2022; 58:257-265. [PMID: 36510786 PMCID: PMC9877189 DOI: 10.1080/10826084.2022.2155479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: The prevalence of e-cigarette use among young people remains high. Young people are susceptible to e-cigarette advertising, although potential heterogeneity in perceptions of e-cigarette ads with respect to age and e-cigarette use history remains unexplored. We aimed to assess differences in perceptions of e-cigarette ads and product use intention, by age and e-cigarette use status. Methods: Participants from an online convenience sample (N = 497, Mage=31.9) viewed two randomly selected e-cigarette ads and reported their perceptions of the ads and product use intention. We used mixed effects linear regression models to estimate associations between age group (18-20 years, 21-25 years, 26+ years), e-cigarette use status (never, former, and current use), and their interaction effects, on outcomes related to perceptions of ads and use intention. Models controlled for demographics and other tobacco use. Results: Current e-cigarette users (vs. never users) and participants who were 26+ years old (vs. 18-20 years old) had greater liking of the ads, perceived ad relevance, and perceived ad effectiveness. Among current e-cigarette users, participants who were 26+ years old (vs. 18-20 years old) had lower use intention. Conclusion: The effect of e-cigarette ad exposures on perceptions of the ad and use intention is heterogeneous with respect to age group and e-cigarette use history. While ads appealed more to adults who were 26+ years old across e-cigarette use groups, current e-cigarette users who were 18-20 years old demonstrated high use intention following ad exposure, suggesting a need for marketing interventions to mitigate continued e-cigarette use among young people.
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Affiliation(s)
- Jessica Liu
- Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health
| | - Brittney Keller-Hamilton
- Department of Internal Medicine, The Ohio State University College of Medicine, Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Joanne G Patterson
- Division of Epidemiology, The Ohio State University College of Public Health, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Donghee N Lee
- Department of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, University of Massachusetts Chan Medical School
| | - Amelia V. Wedel
- Department of Clinical Psychology, Syracuse University, Syracuse, NY
| | - Coralia Vázquez-Otero
- Department of Public Health, College for Health, Community and Policy, The University of Texas at San Antonio, San Antonio, TX
| | - Elise M. Stevens
- Department of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, University of Massachusetts Chan Medical School
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Differences in intention to use flavored oral nicotine products among young adult e-cigarette users and non-users. Prev Med Rep 2022; 30:102027. [PMID: 36304078 PMCID: PMC9594628 DOI: 10.1016/j.pmedr.2022.102027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 09/30/2022] [Accepted: 10/15/2022] [Indexed: 11/05/2022] Open
Abstract
New oral nicotine products (ONPs; nicotine pouches, gums, lozenges, and gummies), which are regulated as nonmedicinal tobacco products in the U.S., have flavors and other characteristics that previously attracted young adults to e-cigarettes. Whether young adults' interest in ONPs differs by e-cigarette use status and quit-vaping motivation is unknown but important for understanding the possible health impact of ONPs. It is particularly important to study if nonmedicinal ONPs attract e-cigarette users interested in quitting vaping, given that nicotine replacement (NRT) therapy uptake in young adults is low. In this study, ONP non-users (ages: 20-24) from California viewed digital images of 5 flavored ONPs (4 nonmedicinal and one NRT gum product) and reported intention to use each ONP (0-100 score). Main and interactive effects of Group (past-6-month e-cigarette non-users [n = 1,1388], e-cigarette users unmotivated to quit vaping [n = 168], and e-cigarette users motivated to quit vaping [n = 99]) and ONP type (nonmedicinal gum, nonmedicinal lozenge, gummy, pouch, and NRT gum) on use intention were tested. For each nonmedicinal ONP, use intention was higher in both e-cigarette user groups than non-users (ds = 0.47-0.59; Ps < 0.001), but did not differ between e-cigarette users with and without quit-vaping motivation (Ps ≥ 0.31). A Group × ONP type interaction was found, whereby higher use intention for e-cigarette users with vs without quit motivation was present for only gum NRT (Cohens d = 0.17; P =.01). Among young adults, e-cigarette users might be more inclined than e-cigarette non-users to try nonmedicinal ONPs regardless of quit-vaping motivation.
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Gaiha SM, Lin C, Lempert LK, Halpern-Felsher B. Use Patterns, Flavors, Brands, and Ingredients of Nonnicotine e-Cigarettes Among Adolescents, Young Adults, and Adults in the United States. JAMA Netw Open 2022; 5:e2216194. [PMID: 35612852 PMCID: PMC9133942 DOI: 10.1001/jamanetworkopen.2022.16194] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE Nonnicotine e-cigarettes contain chemicals, flavorants, and solvents that have known health harms and/or have not been proven safe for inhalation. OBJECTIVE To evaluate nonnicotine e-cigarette use patterns, including common flavors, brands, and ingredients. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study included a convenience sample of US residents aged 13 to 40 years who completed an online survey in November and December 2021. Quota sampling was used for an equal proportion of participants aged 13 to 17 years, 18 to 20 years, and 21 to 40 years, balanced for sex, race, and ethnicity per the latest US Census. MAIN OUTCOMES AND MEASURES Nonnicotine e-cigarette use (ever, past 30- and past 7-day, number of times used, time taken to finish); co-use with nicotine e-cigarettes; age at first try; and flavors, brands, and ingredients used. RESULTS Overall, 6131 participants (mean [SD] age, 21.9 [6.8] years; range, 13-40 years; 3454 [56.3%] identifying as female) completed the survey (55.1% completion rate). Among all participants, 1590 (25.9%) had ever used a nonnicotine e-cigarette, 1021 (16.7%) used one in the past 30 days, and 760 (12.4%) used one in the past 7 days. By age group, 227 of 1630 participants aged 13 to 17 years (13.9%), 497 of 2033 participants aged 18 to 20 years (24.4%), 399 of 1041 participants aged 21 to 24 years (38.3%), and 467 of 1427 participants aged 25 to 40 years (32.7%) had ever used nonnicotine e-cigarettes. Among 1590 participants who had ever used a nonnicotine e-cigarette, 549 (34.5%) had used one more than 10 times; 1017 (63.9%) finished 1 nonnicotine e-cigarette in less than 1 week. Co-use of nonnicotine with nicotine e-cigarettes was reported by 1155 participants (18.8%), 1363 (22.2%) exclusively used nicotine e-cigarettes, and 431 (7.0%) exclusively used nonnicotine e-cigarettes. Most-used flavors were sweet, dessert, or candy (578 [36.3%]); fruit (532 [33.4%]); and mint or menthol (321 [20.2%]); similar flavor patterns were observed for the top 2 flavors among those who used nonnicotine e-cigarettes in the past 30 days, followed by combinations of coffee, alcohol, flower, plant, and mint or menthol flavors by age group. Participants most reported using tetrahydrocannabinol (587 [36.9%]), cannabidiol (537 [33.7%]), melatonin (438 [27.5%]), caffeine (428 [26.9%]), and essential oils (364 [22.9%]) in their nonnicotine e-cigarettes. CONCLUSIONS AND RELEVANCE In this study of adolescents, young adults, and adults, a sizeable proportion reported having used nonnicotine e-cigarettes and co-using them with nicotine e-cigarettes. Surveillance studies should further assess nonnicotine e-cigarette use patterns and regulations, and prevention should be developed to address youth appeal, unsubstantiated health claims, and possible health harms.
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Affiliation(s)
- Shivani Mathur Gaiha
- Stanford Reach Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Stanford, California
| | - Crystal Lin
- Stanford Reach Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Stanford, California
| | - Lauren Kass Lempert
- Stanford Reach Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Stanford, California
| | - Bonnie Halpern-Felsher
- Stanford Reach Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Stanford, California
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Kuk AE, Bluestein MA, Chen B, Harrell M, Spells CE, Atem F, Pérez A. The Effect of Perceptions of Hookah Harmfulness and Addictiveness on the Age of Initiation of Hookah Use among Population Assessment of Tobacco and Health (PATH) Youth. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5034. [PMID: 35564430 PMCID: PMC9105245 DOI: 10.3390/ijerph19095034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/13/2022] [Accepted: 04/19/2022] [Indexed: 12/15/2022]
Abstract
Despite the negative health consequence of hookah, hookah risk perceptions are misguided among youth. Secondary data analysis of 12-17-year-old never hookah users at their first wave of PATH participation (2013-2019) was performed. The effect of perceptions of hookah harmfulness and addictiveness on the age of initiation ever, past 30-day, and fairly regular hookah use were estimated using interval-censored Cox proportional hazards models. The distribution of the age of initiation of hookah outcomes by perception levels of harmfulness and addictiveness are reported as cumulative incidence and 95% CI. Youth who perceived hookah to be neither harmful nor addictive were 173% more likely to initiate ever, 166% more likely to first report past 30-day use, and 142% more likely to first report fairly regular hookah use at earlier ages compared to youth who considered hookah to be both harmful and addictive. By age 18, 25.5% of youth who perceived hookah as neither harmful nor addictive were estimated to initiate ever hookah use while 9.3% of youth who perceived hookah as harmful and addictive were estimated to initiate ever hookah use. These findings indicate the need to provide prevention and education campaigns to change perceptions of the harmfulness and addictiveness of hookah to delay the age of initiation of hookah use.
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Affiliation(s)
- Arnold E. Kuk
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA; (A.E.K.); (M.A.B.); (B.C.); (M.H.); (C.E.S.)
| | - Meagan A. Bluestein
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA; (A.E.K.); (M.A.B.); (B.C.); (M.H.); (C.E.S.)
| | - Baojiang Chen
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA; (A.E.K.); (M.A.B.); (B.C.); (M.H.); (C.E.S.)
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
| | - Melissa Harrell
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA; (A.E.K.); (M.A.B.); (B.C.); (M.H.); (C.E.S.)
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
| | - Charles E. Spells
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA; (A.E.K.); (M.A.B.); (B.C.); (M.H.); (C.E.S.)
| | - Folefac Atem
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Dallas, TX 75207, USA;
| | - Adriana Pérez
- Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA; (A.E.K.); (M.A.B.); (B.C.); (M.H.); (C.E.S.)
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA
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