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Budenz A, Gaber J, Crankshaw E, Malterud A, Peterson EB, Wagner DE, Sanders EC. Discrimination, identity connectedness and tobacco use in a sample of sexual and gender minority young adults. Tob Control 2024; 33:e143-e150. [PMID: 36601779 DOI: 10.1136/tc-2022-057451] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 11/19/2022] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Studies show that tobacco use among sexual and gender minority (SGM) populations is disproportionately higher than heterosexual or cisgender populations. However, few studies have examined tobacco use among SGM subgroups by race/ethnicity or associations between SGM-specific discrimination and connection to SGM identity and tobacco use. METHODS This study analysed survey data from 11 313 SGM (gay, lesbian, bisexual, other sexual minority or gender minority) young adults in the USA and reported current cigarette, e-cigarette, other tobacco (cigar, smokeless tobacco, hookah) and polytobacco use. We used multinomial logistic regression to estimate associations between (a) SGM subgroup, race/ethnicity, SGM-specific discrimination and SGM identity connection and (b) each tobacco use outcome (vs never use of tobacco). We conducted postestimation testing to assess predicted probabilities of tobacco use against the sample average. RESULTS Lesbian females (particularly black lesbian females) had higher-than-average probability of polytobacco use. White bisexual and lesbian participants had higher-than-average probability of cigarette and e-cigarette use, respectively. Higher levels of discrimination were associated with polytobacco use. Higher levels of identity connectedness were protective against certain tobacco use behaviours among gender minority participants and participants with high levels of discrimination experience. CONCLUSIONS We found variations in tobacco use by SGM subgroups overall and by race/ethnicity. Discrimination may be a risk factor for certain tobacco use behaviours. However, SGM identity connectedness may be protective against tobacco use among gender minority individuals and individuals experiencing SGM-specific discrimination. These findings can inform targeted approaches to reach SGM subgroups at greater risk of tobacco use.
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Affiliation(s)
- Alex Budenz
- Center for Tobacco Products, Office of Health Communication and Education, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Jennifer Gaber
- Center for Health Analytics, Media and Policy, RTI International, Durham, NC, USA
| | - Erik Crankshaw
- Center for Health Analytics, Media and Policy, RTI International, Durham, NC, USA
| | - Andie Malterud
- Center for Tobacco Products, Office of Health Communication and Education, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Emily B Peterson
- Center for Tobacco Products, Office of Health Communication and Education, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Dana E Wagner
- Research Department, Rescue Agency, San Diego, CA, USA
| | - Emily C Sanders
- Center for Tobacco Products, Office of Health Communication and Education, U.S. Food and Drug Administration, Silver Spring, MD, USA
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Khalil G, Ramirez E, Khan M, Zhao B, Ribeiro N, Balian P. Risk Perception and Knowledge Following a Social Game-Based Tobacco Prevention Program for Adolescents: Pilot Randomized Comparative Trial. JMIR Serious Games 2024; 12:e63296. [PMID: 39499912 PMCID: PMC11576604 DOI: 10.2196/63296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 08/08/2024] [Accepted: 08/13/2024] [Indexed: 11/24/2024] Open
Abstract
BACKGROUND Adolescence is a critical developmental stage that is particularly vulnerable to the initiation of tobacco use. Despite the well-documented health risks associated with tobacco use, it remains prevalent among adolescents. Games for health are a promising strategy for tobacco prevention, using experiential and social learning theories to enhance engagement and improve behavior change. OBJECTIVE This pilot study aims to (1) compare the social game-based program Storm-Heroes to a nonsocial program regarding adolescents' personal and social experiences and (2) examine how these experiences predict higher tobacco knowledge and perceived risks of vaping and conventional tobacco use. METHODS In a cluster-randomized comparative design, 4 after-school sites (N=79 adolescents) were recruited in person and randomized in a single-blinded format to 1 of 2 interventions: the social game Storm-Heroes (44/79, 56%) or the nonsocial program A Smoking Prevention Interactive Experience (ASPIRE; 35/79, 44%). A study team member supervised both interventions. Data were collected at baseline, immediate follow-up, and a 1.5-month follow-up (45/74, 61% retained). Repeated measures mixed effects models were conducted. RESULTS A total of 45 participants continued until the 1.5-month follow-up. Participants in the Strom-Heroes group were more likely to increase their perceived risk of vaping (B=0.40; P<.001), perceived risk of conventional tobacco use (B=0.35; P=.046), and tobacco knowledge (B=1.63; P<.001) than those in the control condition. The usability level of the program was related to a higher perceived risk of vaping (B=0.16; P=.003) and conventional tobacco use (B=0.16; P=.02) by follow-up. Attention to the program was also related to higher perceived risk of vaping (B=0.12; P=.002) and conventional tobacco use (B=0.14; P<.001). Distraction was not related to either perceived risk of vaping (P=.15) or perceived risk of conventional tobacco use (P=.71). In contrast, both more attention (B=0.60; P<.001) and less distraction (B=-0.37; P<.001) were related to higher tobacco knowledge. CONCLUSIONS The increased perceived risk of vaping and conventional tobacco among Storm-Heroes participants aligns with the program's goals of improving participants' awareness of the risks associated with tobacco use and their tobacco knowledge. However, distraction weakened the effect of the program on tobacco knowledge, indicating that emphasis needs to be placed on minimizing distraction for better outcomes. With the results of this study, researchers can work to advance the current version of Storm-Heroes and amplify engagement in the program to improve its potential for preventing adolescents' initiation of tobacco use. TRIAL REGISTRATION ClinicalTrials.gov NCT02703597; https://clinicaltrials.gov/study/NCT02703597.
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Affiliation(s)
- Georges Khalil
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States
| | - Erica Ramirez
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States
| | - Meerah Khan
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States
| | - Bairu Zhao
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States
| | - Nuno Ribeiro
- Cancer Prevention Unit, Institute of Pathology and Molecular Immunology of University of Porto and Institute for Research and Innovation in Health, University of Porto, Porto, Portugal
| | - Patrick Balian
- Warrington College of Business, University of Florida, Gainesville, FL, United States
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Bataineh BS, Wilkinson AV, Sumbe A, Clendennen SL, Chen B, Messiah SE, Harrell MB. Anxiety as a predictor of the age of initiation of tobacco and cannabis use in adolescents and young adults. Addict Behav 2024; 148:107876. [PMID: 37804749 DOI: 10.1016/j.addbeh.2023.107876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/28/2023] [Accepted: 09/30/2023] [Indexed: 10/09/2023]
Abstract
BACKGROUND Previous research has shown important links between anxiety and the use of tobacco and cannabis. However, it remains unclear whether anxiety leads youth to start using tobacco and cannabis at an earlier age. METHODS Data were drawn from Texas Adolescent Tobacco and Marketing Surveillance System for the years 2019-2021(Waves 9-14). Participants were in 10th-grade, 12th-grade, and two years post-high school at baseline. The outcomes were the age of first use of cigarettes, e-cigarettes, and cannabis. Interval-censoring Cox proportional hazards models were fit to examine the differences in the estimated age of initiation of tobacco and cannabis use by anxiety. RESULTS Among the 10th-grade cohort, participants with anxiety had an increased risk of an earlier age of cigarette [AHR = 2.29(1.63-3.23)], e-cigarette [AHR = 1.53(1.17-2.00)], and cannabis [AHR = 1.59(1.23-2.05)] initiation. Among the 12th-grade cohort, participants with anxiety had an increased risk of an earlier age of cigarette [AHR = 1.52(1.21-1.90), e-cigarette [1.25(1.01-1.60)] and cannabis [AHR = 1.35(1.09-1.67] initiation. Among the post-high school cohort, the only significant association found was for cannabis initiation [AHR = 1.33(1.11-1.58). Between ages 18-to-19 years in the 10th-grade cohort, and between ages 20-21 years in the 12th-grade cohort, cumulative incidence of each of the three outcomes initiation doubled among anxious youth. CONCLUSIONS This study's findings show that anxiety symptoms can increase the risk of substance use initiation at an earlier age, especially among the youngest adolescent cohort (∼15-to-16-year-olds). These findings highlight the importance of early screening and treatment of anxiety symptoms as a preventive measure to delay or prevent the onset of substance use initiation.
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Affiliation(s)
- Bara S Bataineh
- University of Texas Health Science Center at Houston, School of Public Health, Dallas, TX, USA.
| | - Anna V Wilkinson
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, USA
| | - Aslesha Sumbe
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, USA
| | - Stephanie L Clendennen
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, USA
| | - Baojiang Chen
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, USA
| | - Sarah E Messiah
- University of Texas Health Science Center at Houston, School of Public Health, Dallas, TX, USA; Center for Pediatric Population Health, UTHealth School of Public Health, Dallas, TX, USA; Department of Pediatrics, McGovern Medical School, Houston, TX USA
| | - Melissa B Harrell
- University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, USA
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Watson ML, McKnight ER, Groner JA, Manos BE, Ebersole AM, Bonny AE. Patterns and perceptions of nicotine use among U.S. adolescents and young adults receiving medication treatment for opioid use disorder. Prev Med Rep 2023; 35:102303. [PMID: 37449006 PMCID: PMC10336235 DOI: 10.1016/j.pmedr.2023.102303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 06/02/2023] [Accepted: 06/25/2023] [Indexed: 07/18/2023] Open
Abstract
Nicotine use among U.S. youth is cause for concern, as previous studies have shown that nicotine use in adolescence increases the risk of developing substance use disorders later in life. This exploratory study aimed to understand patterns of nicotine use and perceptions of various nicotine products among adolescents and young adults (AYA) receiving medication treatment for opioid use disorder (MOUD). We administered an adapted version of the National Youth Tobacco Survey via REDCap to AYA (n = 32) receiving outpatient care in the Medication-Assisted Treatment of Addiction at Nationwide Children's Hospital in Columbus, Ohio, U.S.A. Thirty (97%) participants had tried a combustible cigarette and 27 (90%) had tried an electronic cigarette. By age 13, nineteen (61%) participants had tried combustible cigarettes and eight (25%) had tried opioids. Twenty-two (71%) participants reported smoking combustible cigarettes every day for the past 30 days, and 15 (48%) reported smoking more than 10 cigarettes per day on average. Only ten (32%) participants reported e-cigarette use in the last 30 days. Participants universally agreed that tobacco products are dangerous, and twenty (67%) current tobacco users reported that they planned to quit in the next year. Nicotine use patterns among AYA receiving MOUD differ from that previously shown in the general population, primarily by high prevalence of nicotine use in early adolescence and high current combustible cigarette use. Interventions such as universal screening for nicotine use before age 13 and tailored smoking cessation programs for AYA with OUD may help optimize care for these individuals.
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Affiliation(s)
- Madeline L. Watson
- The Ohio State University College of Medicine, 370 W. 9th Avenue, Columbus, OH 43210, USA
| | - Erin R. McKnight
- The Ohio State University College of Medicine, 370 W. 9th Avenue, Columbus, OH 43210, USA
- Division of Adolescent Medicine, Nationwide Children’s Hospital, 700 Children’s Drive, Columbus, OH 43205, USA
| | - Judith A. Groner
- The Ohio State University College of Medicine, 370 W. 9th Avenue, Columbus, OH 43210, USA
- Division of Ambulatory Pediatrics, Nationwide Children’s Hospital, 700 Children’s Drive, Columbus, OH 43205, USA
| | - Brittney E. Manos
- Division of Adolescent Medicine, Nationwide Children’s Hospital, 700 Children’s Drive, Columbus, OH 43205, USA
| | - Ashley M. Ebersole
- The Ohio State University College of Medicine, 370 W. 9th Avenue, Columbus, OH 43210, USA
- Division of Adolescent Medicine, Nationwide Children’s Hospital, 700 Children’s Drive, Columbus, OH 43205, USA
| | - Andrea E. Bonny
- The Ohio State University College of Medicine, 370 W. 9th Avenue, Columbus, OH 43210, USA
- Division of Adolescent Medicine, Nationwide Children’s Hospital, 700 Children’s Drive, Columbus, OH 43205, USA
- Abigail Wexner Research Institute at Nationwide Children’s Hospital, 700 Children’s Drive, Columbus, OH 43205, USA
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Verma M, Rana K, Bhatt G, Sharma N, Lal P. Trends and determinants of tobacco use initiation in India: analysis of two rounds of the Global Adult Tobacco Survey. BMJ Open 2023; 13:e074389. [PMID: 37739473 PMCID: PMC10533663 DOI: 10.1136/bmjopen-2023-074389] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 09/07/2023] [Indexed: 09/24/2023] Open
Abstract
OBJECTIVES Early initiation of tobacco use can lead to lifelong addiction and increases tobacco-attributable morbidity and mortality. This study assesses trends in tobacco use initiation and factors associated with tobacco use initiation using disaggregated data from two rounds of the Global Adult Tobacco Survey India (GATS; 2009-2010 (GATS 1) and 2016-2017 (GATS 2)). DESIGN Secondary analysis of repeated cross-sectional studies. SETTINGS AND PARTICIPANTS The study involved data from 69 296 individuals and 76 069 households in GATS 1 and 74 037 individuals and 77 170 households in GATS 2, two rounds of a nationally representative survey in India. OUTCOME MEASURES Mean age of initiation (as recalled by the participants) of smoked and smokeless tobacco (SLT) use (dependent variable) was compared and analysed across different sociodemographic variables (independent factors). We assessed change in mean age of initiation of tobacco usage on a daily basis between GATS 1 and GATS 2, and investigated the factors associated with early tobacco use initiation in the GATS 2 dataset (reported using adjusted ORs (aORs) with 95% CIs). RESULTS The mean age of initiation of smoked tobacco and SLT in GATS 2 was 20.9±8.5 and 22.3±10.6 years, compared with 18.5±9.7 and 19.7±12.0 years in GATS 1. The mean age of initiation increased with age and among those who were better aware of the adverse effects of tobacco. As per GATS 2, males initiated smoked tobacco and SLT use earlier (20.6±7.4 and 21.7±9.1) than females (23.3±14.2 and 23.2±12.6 years). Younger participants (15-24 years) reported earlier initiation of SLT (15.5±4.2 years) compared with others. Binary logistic regression depicted variables associated with early initiation of tobacco. Awareness about the harms caused by tobacco affected the odds of SLT (aOR 1.4, 95% CI 1.3 to 1.7) and dual usage initiation (1.8, 1.6 to 2.0), but not of initiation of smoked tobacco products (1.1, 0.9 to 1.2). CONCLUSIONS More robust health advocacy campaigns that communicate the harmful effects of tobacco on health could be useful to delay tobacco initiation, along with reducing the ease of access and affordability of tobacco products among vulnerable groups.
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Affiliation(s)
- Madhur Verma
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India
| | - Kirtan Rana
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Garima Bhatt
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Nikita Sharma
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Bilaspur, India
| | - Pranay Lal
- Department of Health, Government of National Capital Territory of Delhi, New Delhi, India
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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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Harrell MB, Mantey DS, Chen B, Kelder SH, Barrington-Trimis J. Impact of the e-cigarette era on cigarette smoking among youth in the United States: A population-level study. Prev Med 2022; 164:107265. [PMID: 36152819 PMCID: PMC10381788 DOI: 10.1016/j.ypmed.2022.107265] [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: 04/07/2022] [Revised: 08/28/2022] [Accepted: 09/17/2022] [Indexed: 11/19/2022]
Abstract
To examine and compare trends in past 30-day cigarette smoking among adolescents in the US from 2002 to 2019, before and after the onset of the "e-cigarette era" in 2014. Using National Youth Tobacco Survey (NYTS) data from 2002 to 2019, we modeled the prevalence of past 30-day cigarette smoking over time. A total of n = 274,551 (weighted N = 340,403,754) middle and high school students were included in this study. Interrupted time series analyses were used to examine changes in cigarette smoking over time and compare trends in cigarette smoking pre- and post-2014. Models were applied to the full sample and stratified by middle (6th-8th grade) and high school (9th-12th grade). The observed number of current adolescent cigarette smokers post-2014 was compared to the predicted number, given trends in cigarette smoking prevalence observed pre-2014. Among all students, past 30-day cigarette smoking declined by approximately 0.75% per year from 2002 to 2013 (p < 0.001). Following a significant drop in prevalence from 2013 to 2014 (1.64%; p < 0.001), the decline in past 30-day cigarette smoking slowed significantly to approximately 0.37% per year (p < 0.001), from 2015 to 2019. We estimate that the onset of the "e-cigarette era" in 2014 corresponded to over 1.66 million (95% CI: 1.57 m - 1.75 m) more past 30-day cigarette smokers from 2015 to 2019, cumulatively. The rate of decline in past 30-day cigarette smoking prevalence among adolescents observed since 2002 slowed with the onset of the "e-cigarette era" in 2014, providing evidence at a population-level for the "gateway effect."
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Affiliation(s)
- Melissa B Harrell
- University of Texas School of Public Health, Austin, TX, United States of America; Michael & Susan Dell Center for Healthy Living, UTHealth School of Public Health Austin Campus, Austin, Texas, USA
| | - Dale S Mantey
- University of Texas School of Public Health, Austin, TX, United States of America; Michael & Susan Dell Center for Healthy Living, UTHealth School of Public Health Austin Campus, Austin, Texas, USA.
| | - Baojiang Chen
- University of Texas School of Public Health, Austin, TX, United States of America; Michael & Susan Dell Center for Healthy Living, UTHealth School of Public Health Austin Campus, Austin, Texas, USA
| | - Steven H Kelder
- University of Texas School of Public Health, Austin, TX, United States of America; Michael & Susan Dell Center for Healthy Living, UTHealth School of Public Health Austin Campus, Austin, Texas, USA
| | - Jessica Barrington-Trimis
- University of Southern California, Keck School of Medicine, Los Angeles, CA, United States of America
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Bluestein MA, Harrell MB, Hébert ET, Chen B, Kuk AE, Spells CE, Pérez A. Associations Between Perceptions of e-Cigarette Harmfulness and Addictiveness and the Age of E-Cigarette Initiation Among the Population Assessment of Tobacco and Health (PATH) Youth. Tob Use Insights 2022; 15:1179173X221133645. [PMID: 36276166 PMCID: PMC9585561 DOI: 10.1177/1179173x221133645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Introduction Youth perceptions of harmfulness and addictiveness of e-cigarettes may impact the age that they initiate e-cigarette use, but this has not been investigated previously. Methods Youth (12-17 years old) never e-cigarette users at their first wave of PATH participation (waves 1-3, 2013-2016) were included. PATH questions on absolute perceptions of e-cigarette harmfulness and addictiveness were used as exposures. Interval-censored Cox proportional hazards models were used to estimate the impact of perceptions of harmfulness, and perceptions of addictiveness on (i) the age of initiation of e-cigarette use and (ii) age of first reporting past 30-day e-cigarette use, while controlling for covariates. Results Youth who perceive e-cigarettes as having no/little harm had increased risk of initiating both ever e-cigarette use (AHR = 2.04; 95%CI = 1.74-2.40) and past 30-day e-cigarette use (AHR = 2.64; 95%CI = 2.07-3.37) at earlier ages compared to youth who perceive e-cigarettes as having a lot of harm. Youth who perceive the likelihood of becoming addicted to e-cigarettes to be very/somewhat unlikely had increased risk of an earlier age of both ever (AHR = 1.28; 95%CI = 1.07-1.52) and past 30-day (AHR = 1.36; 95%CI = 1.04-1.79) e-cigarette initiation compared to youth who perceived the likelihood of becoming addicted to e-cigarettes to be somewhat/very likely. Conclusion These results highlight the importance of communicating to youth the potential for health harms and addiction from e-cigarette use in prevention and intervention campaigns, as those with the lowest perceptions of harmfulness and addictiveness had the earliest ages of e-cigarette initiation.
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Affiliation(s)
- Meagan A. Bluestein
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA
| | - Melissa B. Harrell
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA
| | - Emily T. Hébert
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Department of Health Promotion and Behavioral Sciences, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA
| | - Baojiang Chen
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Department of Biostatistics and Data Science, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA
| | - Arnold E. Kuk
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA
| | - Charles E. Spells
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA
| | - Adriana Pérez
- Michael & Susan Dell Center for Healthy Living, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Department of Biostatistics and Data Science, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX, USA,Adriana Pérez, Department of Biostatistics and Data Science, School of Public Health, the University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX 78701, USA.
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Atem FD, Bluestein MA, Harrell MB, Chen B, Messiah SE, Kuk AE, Sterling KL, Spells CE, Pérez A. Precise Estimation for the Age of Initiation of Tobacco Use Among U.S. Youth: Finding from the Population Assessment of Tobacco and Health (PATH) Study, 2013-2017. BIOSTATISTICS AND BIOMETRICS OPEN ACCESS JOURNAL 2022; 11:555801. [PMID: 36777448 PMCID: PMC9912413 DOI: 10.19080/bboaj.2022.11.555801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Context Youth tobacco use remains a prominent United States public health issue with a high economic and health burden. Method We pooled never and ever users at youth's first wave of PATH participation (waves 1-3) to estimate age of initiation for hookah, e-cigarettes, cigarettes, traditional cigars, cigarillos, and smokeless tobacco prospectively (waves 2-4). Age of initiation of each tobacco product was estimated using weighted interval-censored survival analyses. Weighted interval censoring Cox-proportional hazards regression models were used to assess the association of ever use of the TP at the first wave of PATH participation, sex, and race/ethnicity on the age of initiation of ever use of each tobacco product. Sensitivity analyses were performed to understand the impact of the recalled age of initiation for the left-censored participants by replacing the recalled age of initiation with a uniform "6" years lower bound. Results The proportion of those who ever used each tobacco product at the first wave of PATH participation ranged from 1.8% for traditional cigars to 10.4% for cigarettes. There was a significant increase in ever use of each tobacco product after the age of 14, with e-cigarettes and cigarettes showing the highest cumulative incidence of initiation by age 21, while smokeless and cigarillos recorded the lowest cumulative incidence by age 21. The adjusted Cox models showed boys initiated at earlier ages for all of these tobacco products except for hookah, which showed no difference. Similarly, apart from ever use of hookah, non-Hispanic White youth were more likely to initiate each tobacco product at earlier ages compared to Hispanic, non-Hispanic Black, and non-Hispanic Other youth. Conclusion The increased sample size and the inclusion of ever users yielded greater precision for age of initiation of each tobacco product than analyses limited to never users at the first wave of PATH participation. These analyses can help elucidate population selection criteria for estimating the age of initiation of tobacco products.
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Affiliation(s)
- Folefac D. Atem
- The University of Texas Health Science Center at Houston, School of Public Health,Center for Pediatric Population Health, Children's Health System of Texas and UT Health Science Center School of Public Health, School of Public Health in Dallas, 2777 N Stemmons Fwy, Dallas, TX
| | - Meagan A. Bluestein
- The University of Texas Health Science Center at Houston, School of Public Health,Michael & Susan Dell Center for Healthy Living, 1616 Guadalupe Suite 6.300 Austin TX 78701
| | - Melissa B. Harrell
- The University of Texas Health Science Center at Houston, School of Public Health,Michael & Susan Dell Center for Healthy Living, 1616 Guadalupe Suite 6.300 Austin TX 78701,Consultant with litigation involving the vaping industry, Austin TX
| | - Baojiang Chen
- The University of Texas Health Science Center at Houston, School of Public Health,Michael & Susan Dell Center for Healthy Living, 1616 Guadalupe Suite 6.300 Austin TX 78701
| | - Sarah E. Messiah
- The University of Texas Health Science Center at Houston, School of Public Health,Center for Pediatric Population Health, Children's Health System of Texas and UT Health Science Center School of Public Health, School of Public Health in Dallas, 2777 N Stemmons Fwy, Dallas, TX
| | - Arnold E. Kuk
- The University of Texas Health Science Center at Houston, School of Public Health,Michael & Susan Dell Center for Healthy Living, 1616 Guadalupe Suite 6.300 Austin TX 78701
| | - Kymberle L. Sterling
- The University of Texas Health Science Center at Houston, School of Public Health,Michael & Susan Dell Center for Healthy Living, 1616 Guadalupe Suite 6.300 Austin TX 78701
| | - Charles E. Spells
- The University of Texas Health Science Center at Houston, School of Public Health,Michael & Susan Dell Center for Healthy Living, 1616 Guadalupe Suite 6.300 Austin TX 78701
| | - Adriana Pérez
- The University of Texas Health Science Center at Houston, School of Public Health,Michael & Susan Dell Center for Healthy Living, 1616 Guadalupe Suite 6.300 Austin TX 78701
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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: 5] [Impact Index Per Article: 1.7] [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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Pérez A, Bluestein MA, Kuk AE, Chen B, Sterling KL, Harrell MB. Age of Onset of Susceptibility to Different Tobacco Products Among Non-Susceptible US Young Adults: Findings from the Population Assessment of Tobacco and Health Study Waves 2-4 (2014-2017). Tob Use Insights 2021; 14:1179173X211065643. [PMID: 34924777 PMCID: PMC8671673 DOI: 10.1177/1179173x211065643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 11/09/2021] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Initiation of tobacco products is increasing in young adulthood. This study prospectively estimated the age of onset of susceptibility to cigarettes, e-cigarettes, hookah, smokeless tobacco, and cigarillos among young adults, which is a cognitive precursor to initiation. METHODS Secondary data analyses of the Population Assessment of Tobacco and Health (PATH) study, a nationally representative longitudinal cohort study of US adults. Young adults (18-24 years) who were non-susceptible to each tobacco product (cigarettes, e-cigarettes, hookah, smokeless tobacco, and cigarillos) at waves 2 or 3 were followed-up into waves 3-4 to prospectively estimate the age of onset of susceptibility to each tobacco product. Weighted interval-censored survival methods and interval-censored Cox regression models were implemented to estimate the age of onset of susceptibility, and to estimate differences in the hazard function by sex and by race/ethnicity, while controlling for the total number of other tobacco products ever used at their first wave of participation in PATH. RESULTS By age 21, 16.5%, 16.0%, 12.6%, 12.4%, and 5.9% of young adults reported onset of susceptibility to hookah, e-cigarettes, cigarillos, cigarettes, and smokeless tobacco, respectively. Among young adults who were non-susceptible to each tobacco product at waves 2 or 3, the highest increase in onset of susceptibility occurred between ages 18 and 19 for cigarettes, e-cigarettes, and hookah, while the highest increase in onset of susceptibility occurs between ages 22 and 23 for cigarillos. Young adult males had increased risk of onset of susceptibility to cigarillos and smokeless tobacco at earlier ages than young adult females. Differences in onset of susceptibility to each tobacco product were also observed by race/ethnicity among young adults. CONCLUSIONS With the changing landscape of tobacco products, monitoring the age of onset of susceptibility of tobacco product use among non-susceptible young adults longitudinally is critical to prevent initiation. Communication and education campaigns tailored to address differences in susceptibility among young adults by tobacco product and sociodemographic factors will be useful.
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Affiliation(s)
- Adriana Pérez
- Department of Biostatistics and Data Science, School of Public Health, Austin Campus, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA,Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA,Adriana Pérez, Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin Campus, Austin, TX 78701, USA.
| | - Meagan A. Bluestein
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA
| | - Arnold E. Kuk
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA
| | - Baojiang Chen
- Department of Biostatistics and Data Science, School of Public Health, Austin Campus, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA,Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA
| | - Kymberle L. Sterling
- Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Dallas, TX, USA
| | - Melissa B. Harrell
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA,Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health in Austin, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX, USA
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Pérez A, Kuk AE, Bluestein MA, Sia HMS, Chen B. Age of Initiation of Dual Tobacco Use and Binge Drinking among Youth (12-17 Years Old): Findings from the Population Assessment of Tobacco and Health (PATH) Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:12985. [PMID: 34948595 PMCID: PMC8701105 DOI: 10.3390/ijerph182412985] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/29/2021] [Accepted: 12/03/2021] [Indexed: 12/15/2022]
Abstract
Earlier exposure to binge drinking and tobacco use is associated with higher odds of substance use disorders. Using national youth data from the PATH study, we prospectively estimate the age of initiating past 30-day use of (1) cigarettes, e-cigarettes, and binge drinking, and (2) cigarettes, cigarillos, and binge drinking. Cox proportional hazard models were used to estimate differences in the age of initiation by sex, race/ethnicity, and previous use of other tobacco products. By age 21, 4.4% (95% CI: 3.7-5.2) and 2.0% (95% CI: 1.2-2.8) of youth reported initiation of past 30-day use outcomes (1) and (2), respectively. After controlling for sex and previous use of other tobacco products, statistically significant differences in the age of initiation by race/ethnicity were found for each outcome: Hispanic and non-Hispanic Black youth were less likely than non-Hispanic White youth to initiate past 30-day use of both outcomes (1) and (2) at earlier ages. Although the initiation of both outcomes remained relatively low by age 21, these incidences represent 1.56 million and 700,000 youth, respectively. This study provides the public with evidence to identify the particular ages at which education campaigns may be most effective to prevent youth from initiating these three substances. Further research is needed to estimate the age of initiation of other dual tobacco use patterns with binge drinking.
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Affiliation(s)
- Adriana Pérez
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA;
- 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.); (H.M.S.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.); (H.M.S.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.); (H.M.S.S.)
| | - Hui Min Shirlyn Sia
- 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.); (H.M.S.S.)
| | - Baojiang Chen
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Austin, TX 78701, USA;
- 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.); (H.M.S.S.)
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Sociodemographic Patterns of Exclusive and Dual Use of ENDS and Menthol/Non-Menthol Cigarettes among US Youth (Ages 15-17) Using Two Nationally Representative Surveys (2013-2017). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18157781. [PMID: 34360077 PMCID: PMC8345686 DOI: 10.3390/ijerph18157781] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/16/2021] [Accepted: 07/20/2021] [Indexed: 11/17/2022]
Abstract
The use of electronic nicotine delivery systems (ENDS) among youth in the United States has increased rapidly in the past decade. Simultaneously, while youth cigarette smoking has declined considerably, youth are still more likely to use menthol cigarettes than any other age group. We used nationally representative data on 15–17-year-olds from the Population Assessment of Tobacco and Health (PATH) Study and the National Youth Tobacco Survey (NYTS) (2013–2017) to better understand current cigarette (by menthol flavoring) and ENDS use in the US. We calculated weighted population prevalence estimates across years for multiple patterns of current cigarette and ENDS use (i.e., exclusive menthol cigarette, exclusive non-menthol cigarette, exclusive ENDS, dual ENDS and menthol cigarette, and dual ENDS and non-menthol cigarette) by sex, race/ethnicity, parental education level, household income, and homeownership. Overall, both exclusive menthol and non-menthol cigarette use declined from 2013–2017. Exclusive ENDS use increased, particularly among youth who were non-Hispanic White or had a higher socioeconomic status (measured by parental education, household income, and homeownership). Dual use of ENDS with either menthol or non-menthol cigarettes did not change significantly. Monitoring changes in these sociodemographic patterns will help inform future youth tobacco prevention strategies.
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Pérez A, Kuk AE, Bluestein MA, Penedo E, N’hpang RS, Chen B, Perry CL, Sterling KL, Harrell MB. Prospective estimation of the age of initiation of cigarettes among young adults (18-24 years old): Findings from the Population Assessment of Tobacco and Health (PATH) waves 1-4 (2013-2017). PLoS One 2021; 16:e0251246. [PMID: 33951097 PMCID: PMC8099124 DOI: 10.1371/journal.pone.0251246] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 04/22/2021] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES To prospectively estimate the age of cigarette initiation among young adults (18-24 years old) who were never cigarette users at their first wave of adult study participation overall, by sex, and by race/ethnicity given recent increases in cigarette initiation occurring in young adulthood. METHODS Secondary analyses were conducted using the PATH restricted-use adult datasets among young adult never users of cigarettes in waves 1-3 (2013-2016) with outcomes followed-up in waves 2-4 (2014-2017). Interval censoring survival methods were used to estimate the age of initiation of (i) ever, (ii) past 30-day, and (iii) fairly regular cigarette use. Among never cigarette users when they first entered the adult study, interval censoring Cox proportional hazard models were used to explore differences in the estimated age of initiation of the three cigarette use outcomes by sex and by race/ethnicity, controlling for the effect of previous e-cigarette use and the total number of other tobacco products ever used (0-5 products) before cigarette initiation outcomes. RESULTS Among the young adults who were never cigarette users at their first wave of adult participation, the highest increase in cigarette initiation occurred between 18 and 19 years old. By age 21, 10.6% (95% CI: 9.5-11.7) initiated ever cigarette use, 7.7% (95% CI: 6.1-8.1) initiated past 30-day of cigarette use, and 1.9% (95% CI: 1.4-2.5) initiated fairly regular cigarette use. After controlling for other tobacco products: (a) males were 83% more likely to initiate past 30-day cigarette use at earlier ages than females; (b) Hispanic and Non-Hispanic Black young adults had increased risk to initiate past 30-day cigarette use at earlier ages than Non-Hispanic White young adults (62% and 34%, respectively). CONCLUSIONS The substantial amount of cigarette initiation among young adults reinforces the need for prevention strategies among this population. Although, interventions are needed for all young adult populations, strategies should target 18-21-year-olds, with potentially differential prevention targets by sex and by race/ethnicity.
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Affiliation(s)
- Adriana Pérez
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
| | - Arnold E. Kuk
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
| | - Meagan A. Bluestein
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
| | - Elena Penedo
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
| | - Roi San N’hpang
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
| | - Baojiang Chen
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
| | - Cheryl L. Perry
- Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
| | - Kymberly L. Sterling
- Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Dallas, Texas, United State of America
| | - Melissa B. Harrell
- Michael & Susan Dell Center for Healthy Living, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Austin, Texas, United States of America
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Transcription Errors in Numbers Reported. JAMA Netw Open 2021; 4:e2110182. [PMID: 33835181 PMCID: PMC8035646 DOI: 10.1001/jamanetworkopen.2021.10182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
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