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Kim MM, Steffensen I, Miguel RTD, Babic T, Carlone J. A systematic review and meta-analysis of the association between e-cigarette use among non-tobacco users and initiating smoking of combustible cigarettes. Harm Reduct J 2024; 21:99. [PMID: 38773514 PMCID: PMC11110305 DOI: 10.1186/s12954-024-01013-x] [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: 09/01/2023] [Accepted: 05/01/2024] [Indexed: 05/24/2024] Open
Abstract
INTRODUCTION The rapid increase in e-cigarette use over the past decade has triggered an important public health question on the potential association between e-cigarette use and combustible cigarette smoking. Following AMSTAR 2 and PRISMA guidelines, this evidence synthesis sought to identify and characterize any associations between e-cigarette use among individuals not smoking cigarettes and initiation of cigarette smoking. METHODS The protocol was registered on September 24, 2018 (PROSPERO 2018 CRD42018108540). Three databases were queried from January 01, 2007 to April 26, 2023. Search results were screened using the PICOS review method. RESULTS Among 55 included studies (40 "good" and 15 "fair"; evidence grade: "high") that adjusted for gender, age, and race/ethnicity between groups, generally, there was a significant association between non-regular e-cigarette use and initiation of cigarette smoking, further supported by the meta-analytic results (AOR 3.71; 95% CI 2.86-4.81). However, smoking initiation was most often measured as ever/current cigarette smoking. Two studies (quality: 2 "good") evaluated progression to regular cigarette smoking among individuals with regular use of e-cigarettes, and generally found no significant associations. One study ("good") evaluated smoking initiation among individuals with regular use of e-cigarettes, finding an increasing probability of ever smoking cigarettes with increased e-cigarette use. Twelve studies (10 "good" and two "fair") examining progression to regular smoking among individuals with non-regular use of e-cigarettes reported inconsistent findings. CONCLUSIONS Numerous methodological flaws in the body of literature limit the generalizability of these results to all individuals who are not smoking cigarettes with few studies measuring established/regular use/smoking of e-cigarettes and cigarettes. Further, studies did not control adequately for specific confounding variables representing common liabilities between e-cigarette use and cigarette smoking, nor did they account for sufficient follow-up durations. Collectively, these flaws limit the generalizability of findings to the question of an association between e-cigarette use and cigarette smoking initiation.
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Gomez SE, Dudum R, Rodriguez F. Inequities in atherosclerotic cardiovascular disease prevention. Prog Cardiovasc Dis 2024; 84:43-50. [PMID: 38734044 PMCID: PMC11176018 DOI: 10.1016/j.pcad.2024.05.002] [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: 05/01/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024]
Abstract
Atherosclerotic cardiovascular (CV) disease (ASCVD) prevention encompasses interventions across the lifecourse: from primordial to primary and secondary prevention. Primordial prevention begins in childhood and involves the promotion of ideal CV health (CVH) via optimizing physical activity, body mass index, blood glucose levels, total cholesterol levels, blood pressure, and sleep while minimizing tobacco use. Primary and secondary prevention of ASCVD thereafter centers around mitigating ASCVD risk factors via medical therapy and lifestyle interventions. Disparities in optimal preventive efforts exist among historically marginalized groups in each of these three prongs of ASCVD prevention. Children and adults with a high burden of social determinants of health also face inequity in preventive measures. Inadequate screening, risk factor management and prescription of preventive therapeutics permeate the care of certain groups, especially women, Black, and Hispanic individuals in the United States. Beyond this, individuals belonging to historically marginalized groups also are much more likely to experience other ASCVD risk-enhancing factors, placing them at higher risk for ASCVD over their lifetime. These disparities translate to worse outcomes, with higher rates of ASCVD and CV mortality among these groups. Possible solutions to promoting equity involve community-based youth lifestyle interventions, improved risk-factor screening, and increasing accessibility to healthcare resources and novel preventive diagnostics and therapeutics.
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Affiliation(s)
- Sofia E Gomez
- Division of Cardiovascular Medicine and Cardiovascular Institute, Department of Medicine, Stanford University, Stanford, CA, United States
| | - Ramzi Dudum
- Division of Cardiovascular Medicine and Cardiovascular Institute, Department of Medicine, Stanford University, Stanford, CA, United States
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine and Cardiovascular Institute, Department of Medicine, Stanford University, Stanford, CA, United States.
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Cornacchione Ross J, Kowitt SD, Rubenstein D, Jarman KL, Goldstein AO, Thrasher JF, Ranney LM. Prevalence and correlates of flavored novel oral nicotine product use among a national sample of youth. Addict Behav 2024; 152:107982. [PMID: 38359494 PMCID: PMC10939726 DOI: 10.1016/j.addbeh.2024.107982] [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: 11/20/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Flavored novel oral nicotine products (ONP), such as pouches, gum, lozenges, tablets, and gummies, have recently entered the US market but have not been authorized for smoking cessation. This study assessed the prevalence and correlates of ONPs in a national sample of youth who smoked little filtered cigars or cigarillos (LCCs) or were susceptible to LCCs. METHODS We conducted a national online survey from September-October 2022, as part of a study to develop cigar warnings among youth. Those aged 15-20 years old who reported using (ever or current) or susceptibility to little filtered cigars or cigarillos (LCCs) were eligible. Descriptive statistics and chi-square analyses assessed the prevalence of flavored ONP use and associations with other past 30-day tobacco product use and participant characteristics. RESULTS Approximately one-fifth (17.1 %) of the sample (n = 680) reported past month flavored ONP use. Any past month tobacco use was correlated with past month flavored ONP use (ps < 0.001), increasing from 17.1 % in the overall sample to 26.8 % among those reporting e-cigarette use, 41.4 % (LCCs), 47.8 % (waterpipe tobacco), 61.8 % (large cigars), and 69.1 % (smokeless tobacco). The number of products used in the past month was significantly associated with higher odds of ONPs in the past month in a multivariable logistic regression model (aOR2.26; 95 % CI: 1.92, 2.65). DISCUSSION Almost one-fifth of participants who use or are susceptible to cigar use in our national sample of youth use ONPs. Dual/poly use of other tobacco products and ONPs among youth suggests that many of these youth may be addicted to nicotine. Additional surveillance and regulation of ONPs that exhibit enticing characteristics, such as flavors, kid-friendly formulations, and targeted marketing/branding may be needed.
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Affiliation(s)
- Jennifer Cornacchione Ross
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA.
| | - Sarah D Kowitt
- Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Dana Rubenstein
- Clinical and Translational Science Institute, Duke University School of Medicine, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Kristen L Jarman
- Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Adam O Goldstein
- Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James F Thrasher
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Leah M Ranney
- Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Singer JM, Tackett AP, Klein EG, Lu B, Wagner DD, Wold LE, Roberts ME. Demographic and Behavioral Differences Between Adolescents and Young Adults Who Use E-Cigarettes at Low and High Frequency. SUBSTANCE USE & ADDICTION JOURNAL 2024; 45:232-239. [PMID: 38258811 DOI: 10.1177/29767342231214115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
BACKGROUND Among adolescents and young adults (AYAs), "current use" of electronic cigarettes (e-cigarettes) is commonly defined as any use in the past 30 days. However, few studies have examined differences among those within this broad category. This study examined characteristics of AYAs who used e-cigarettes at a low frequency (within the last 3 months but <6 days out of the past 30 days) and those who used e-cigarettes at a high frequency (6+ days out of the past 30 days). METHODS We conducted cross-sectional analyses among 551 Ohio AYAs (15- to 24-year-olds) who reported using an e-cigarette to vape nicotine in the past 3 months. We used descriptive statistics and logistic regression to characterize those using e-cigarettes at a low frequency and a high frequency. RESULTS Among our sample of AYAs who reported past 3-month e-cigarette use, about half (50.8%) reported using an e-cigarette 6 or more days out of the past 30 days (ie, high frequency). In the multivariable analysis, reported nicotine dependence (Odds Ratio [OR]: 7.0, 95% CI: 4.8, 10.3) and current other tobacco product use (OR: 1.8, 95% CI: 1.1, 2.9) were associated with high-frequency e-cigarette use. CONCLUSION Our results suggest that frequency of use is an important characteristic in understanding AYA e-cigarette use. Any use in the past 30 days may not be sensitive enough to understand dependence and tobacco-use behaviors. Further characterizing "current" e-cigarette use by frequency of use may provide meaningful information for public health professionals to better target intervention and cessation efforts to AYAs.
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Affiliation(s)
- Jill M Singer
- College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Alayna P Tackett
- College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Elizabeth G Klein
- College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Bo Lu
- College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Dylan D Wagner
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Loren E Wold
- College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Megan E Roberts
- College of Public Health, The Ohio State University, Columbus, OH, USA
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Vargees C, Stroup AM, Niznik T, Dunn D, Wyatt R, Hoetger C, Taleb ZB, Cohn AM, Cobb CO, Fetterman JL. Patterns of use, perceptions, and cardiopulmonary health risks of cigar products: a systematic review. BMC Public Health 2023; 23:2357. [PMID: 38017396 PMCID: PMC10685631 DOI: 10.1186/s12889-023-17216-z] [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: 08/16/2022] [Accepted: 11/13/2023] [Indexed: 11/30/2023] Open
Abstract
OBJECTIVE A systematic review was conducted to evaluate the use patterns, health perceptions, and cardiopulmonary health effects of cigars. DATA SOURCES PubMed and Google Scholar were searched for peer-reviewed articles published between June 2014 and February 2021. Search keywords included cigars, cigarillos, little cigars, and cardiopulmonary health outcomes. STUDY SELECTION Of 782 papers identified, we excluded non-English articles, review articles, commentaries, and those without empirical data on cigars. Three coders independently reviewed all articles and compared codes to resolve discrepancies. 93 articles met the inclusion criteria and were included. DATA SYNTHESIS Cigars have evolved from premium cigars to encompass little cigars and cigarillos (LCCs). LCCs are available in an array of flavors and at a price advantage, and as a result, are used by different groups compared to premium cigars. LCCs are more frequently used by youth, young adults, and those who identify as Black/African American. LCCs are often used in combination with other tobacco products, alcohol, and cannabis. Despite limited regulation, cigars generate smoke of a similar composition as cigarettes. Among the studies identified, evidence suggests that cigar use is associated with cardiovascular and pulmonary toxicity. Higher all-cause and cancer-related mortalities are associated with cigar use, particularly with more frequent and deeper inhalation, compared to non-tobacco users. CONCLUSIONS LCCs are used more frequently by at-risk groups compared to premium cigars. Recent studies evaluating cigar cardiopulmonary health effects are limited but suggest cigars have similar health risks as conferred by cigarette smoking. With the use of LCCs and targeted marketing on the rise among high-risk groups, there is a critical need for continued research in this area.
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Affiliation(s)
- Comreen Vargees
- Evans Department of Medicine and Whitaker Cardiovascular Institute, Boston University School of Medicine, 600 Albany Street, Boston, MA, USA
| | | | - Taylor Niznik
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, USA
| | - Delaney Dunn
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, USA
| | - Riley Wyatt
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, USA
| | - Cosima Hoetger
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin St, Richmond, VA, 23284, USA
- Center for the Study of Tobacco Products, Virginia Commonwealth University, 100 W Franklin St, Richmond, VA, 23220, USA
- Institute for Integrative Health Care and Health Promotion (IGVF), Witten/Herdecke University, Alfred-Herrhausen-Straße 50, Witten, 58455, Germany
| | - Ziyad Ben Taleb
- Department of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, USA
| | - Amy M Cohn
- TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, USA
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, USA
| | - Caroline O Cobb
- Department of Psychology, Virginia Commonwealth University, 806 W Franklin St, Richmond, VA, 23284, USA
- Center for the Study of Tobacco Products, Virginia Commonwealth University, 100 W Franklin St, Richmond, VA, 23220, USA
| | - Jessica L Fetterman
- Evans Department of Medicine and Whitaker Cardiovascular Institute, Boston University School of Medicine, 600 Albany Street, Boston, MA, USA.
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Dai HD, Nollen N, Rennard S, Guenzel N, Pham H, Khan AS. Racial and ethnic disparities in biomarkers of exposure and potential harm among U.S. adult exclusive e-cigarette users: 2013-2019. Drug Alcohol Depend 2023; 252:110984. [PMID: 37804563 PMCID: PMC10615775 DOI: 10.1016/j.drugalcdep.2023.110984] [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: 07/25/2023] [Revised: 09/21/2023] [Accepted: 09/24/2023] [Indexed: 10/09/2023]
Abstract
OBJECTIVE Provide evidence on racial and ethnic differences in biomarkers of exposure from rising e-cigarette use among U.S. adults. METHODS Data were drawn from Waves 1-5 of the Population Assessment of Tobacco and Health study (September 2013-November 2019). Differences in biomarkers of exposure and potential harm (BOE/BoPH) across non-Hispanic (NH)-Whites, NH Blacks, Hispanic/Latinos, and NH others were examined using generalized estimation equations. RESULTS Among exclusive e-cigarette users, mean concentrations of BOEs/BoPHs were not significantly different across NH Blacks (n=97), NH others (n=122), and NH Whites (n=1062), after adjustment by wave, age, sex, education, exposure to the secondhand smoke, and the number of recent puffs. Compared to NH Whites, Hispanics (n=151) had lower concentrations of nicotine equivalents (0.5[0.2-1.7] vs. 15.5 [12.5-19.1] nmol/mg creatinine, p<.0001), cotinine (33.4[9.7-114.7] vs. 1008.3 [808.3-1257.9] ng/mg creatinine, p<.0001), and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) (2.6[1.5-4.4] vs. 5.7 [4.9-6.6] pg/mg creatinine, p=.004), but similar concentrations of BOEs for heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and oxidative stress. Differences between Hispanics and NH Whites are expected, given different e-cigarette use profiles. Specifically, Hispanics were less likely to be daily vapers (49.4[35.1-63.8]% vs 81.3[77.7-84.5]%, p<.0001) and nicotine e-cigarette users (72.7 [64.0-79.9]% vs. 89.2 [86.4-91.5]%, p=.0002] and reported a lower number of recent puffs (mean[standard error]=16.7[3.6] vs. 28.6[2.0], p=.02] than their NH-White counterparts. Hispanic vapers were also less likely than NH Whites to have previously smoked cigarettes (49.7 [37.2-62.3]% vs. 88.5 [84.7-91.5]%, p<.0001]). CONCLUSIONS Hispanic vapers exhibited lower exposure to nicotine metabolites and carcinogens than their non-Hispanic White counterparts. The harm reduction potential from e-cigarette use are likely to be realized across diverse racial and ethnic groups.
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Affiliation(s)
- Hongying Daisy Dai
- College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
| | - Nikki Nollen
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, United States
| | - Stephen Rennard
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, United States
| | - Nicolas Guenzel
- College of Nursing, University of Nebraska Medical Center, Omaha, NE, United States
| | - Hanh Pham
- College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States; College of Osteopathic Medicine, Kansas City University, Kansas City, MO, United States
| | - Ali S Khan
- College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States
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Vilcassim MJR, Jacob D, Stowe S, Fifolt M, Zierold KM. Sex Differences in Electronic Cigarette Device Use Among College Students. J Community Health 2023; 48:585-592. [PMID: 36763311 DOI: 10.1007/s10900-023-01200-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/28/2023] [Indexed: 02/11/2023]
Abstract
Electronic cigarette use (vaping) has reached epidemic levels in the United States among teenagers and young adults. However, there is a paucity of studies that have examined the relationships between e-cigarette device types and user characteristics. Therefore, the main objective of this study was to characterize e-cigarette device use among a college population with a focus on sex differences in preferred vaping device. We employed a Qualtrics-based smartphone/online survey to gather responses on e-cigarette use; including device type, demographics and other related information during the period October 1, 2020 to January 30, 2022 in the Birmingham, AL metropolitan area. Participants were recruited via flyers with a QR code to the survey. The differences in e-cigarette device type used by the characteristics of the university e-cigarette users were assessed using either a Chi-square analysis or Fisher's Test. The magnitude of any association between the characteristics of the participants and vaping device used was analyzed via logistic regression. Out of 394 students who participated in the survey, 61 reported current exclusive e-cigarette use (15.5%) among our 18-24-year-old college student sample. Among vapers; more females reported use of Disposable e-cigarettes or Juul (pod-type) as their primary vaping device compared to males, who preferred Tanks and Mods + other rechargeable e-cigarettes (p < 0.05). Males also vaped more days per week compared to females. Vaping among young college students remains at concerning levels. The primary vaping device used significantly varies by the users' sex, making it an important factor to consider in future studies.
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Affiliation(s)
- M J Ruzmyn Vilcassim
- Department of Environmental Health Sciences, UAB School of Public Health, 1665 University Boulevard, Birmingham, AL, 35233, USA.
| | - Diya Jacob
- School of Health Professions, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Samuel Stowe
- Department of Environmental Health Sciences, UAB School of Public Health, 1665 University Boulevard, Birmingham, AL, 35233, USA
| | - Matthew Fifolt
- Department of Health Policy and Organization, UAB School of Public Health, 1665 University Boulevard, Birmingham, AL, 35233, USA
| | - Kristina M Zierold
- Department of Environmental Health Sciences, UAB School of Public Health, 1665 University Boulevard, Birmingham, AL, 35233, USA
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Golan R, Muthigi A, Ghomeshi A, White J, Saltzman RG, Diaz P, Ramasamy R. Misconceptions of Vaping Among Young Adults. Cureus 2023; 15:e38202. [PMID: 37252604 PMCID: PMC10224737 DOI: 10.7759/cureus.38202] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/24/2023] [Indexed: 05/31/2023] Open
Abstract
Background Vaping is growing in popularity worldwide, especially among young adults. To develop effective tobacco prevention interventions, first, there must be an understanding of the attitudes and perceptions of young adults toward the use of vaping. Highlighting perception discrepancies between races may allow physicians to more effectively counsel their patients regarding the risks of vaping. Methodology We conducted an online survey using Amazon Mechanical Turk (MTurk, https://www.mturk.com/) to identify misconceptions about vaping among adults aged 18 to 24 years who currently vape. The survey consisted of 18 questions evaluating reasons for vaping, history of tobacco use, and thoughts on the adverse effects of vaping. The Penn State Electronic Cigarette Dependence Index was implemented to assess dependence. Exclusion criteria comprised respondents who did not vape and were under the age of 18 or over the age of 24. Results A total of 1,009 responses were received with 66% identifying as male (n = 667) and 33% (n = 332) identifying as female. Sixty-nine percent of patients smoked cigarettes or used another form of tobacco previously (n = 692). Of those respondents, 81% indicated that they had since quit using tobacco products (excluding vaping). Switching to vaping was the most common reason for quitting cigarettes or other forms of tobacco, with health concerns and social purposes being the second and third most common reasons provided, respectively. When asked whether vaping had negative health impacts, only 238 (24%) participants strongly agreed with this statement, while a majority (64%) neither agreed nor disagreed or only somewhat agreed. Most participants were white or Caucasian (n = 777). When asked whether smoking or vaping had more severe health implications, 55% of white or Caucasian participants, 41% of Asian participants, and 32% of black or African American participants indicated that vaping was worse than smoking cigarettes. The average Penn State dependence score was 8.7, suggesting medium dependence. Conclusions Our survey sample of 1,006 young adults who vape indicated that the majority did not perceive vaping as significantly harmful. A comprehensive smoking prevention policy, educational interventions, and quit support are needed to enhance awareness among young adults about the health effects associated with vaping. Such interventions should also consider the novel shift toward the replacement of smoking with vaping.
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Affiliation(s)
- Roei Golan
- College of Medicine, Florida State University, Tallahassee, USA
| | - Akhil Muthigi
- Desai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, USA
| | - Armin Ghomeshi
- Herbert Wertheim College of Medicine, Florida International University, Miami, USA
| | - Joshua White
- Desai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, USA
| | - Russell G Saltzman
- Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Miami, USA
| | - Parris Diaz
- David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Ranjith Ramasamy
- Desai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, USA
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Romm KF, Wang Y, Duan Z, Bennett B, Fuss C, Ma Y, Blank MD, Bray BC, Ahluwalia JS, Berg CJ. Psychosocial predictors of longitudinal changes in tobacco and cannabis use among young adults. Addict Behav 2022; 129:107264. [PMID: 35134629 PMCID: PMC9021279 DOI: 10.1016/j.addbeh.2022.107264] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 01/01/2022] [Accepted: 01/28/2022] [Indexed: 01/22/2023]
Abstract
INTRODUCTION In recent years, cigarette use has decreased, but alternative tobacco product and cannabis use has increased in young adults. Thus, research regarding intraindividual changes in tobacco product and cannabis use in this population, and related psychosocial predictors, is warranted. METHODS We analyzed data from 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority) in a 2-year, 5-wave longitudinal study (2018-2020). Latent growth modeling analyzed the outcomes of past 6-month use of cigarettes, e-cigarettes, traditional cigars, little cigars/cigarillos, smokeless tobacco (SLT), hookah, and cannabis across Waves 1-5 among all participants; psychosocial predictors included depressive symptoms, adverse childhood experiences (ACEs), and personality traits. RESULTS Results indicated decreases in likelihood of using each tobacco product over time, but no significant change in likelihood of cannabis use. Psychosocial predictors of baseline use across products included depressive symptoms and extraversion, as well as ACEs and openness for nearly all products (e.g., except traditional cigars). Psychosocial predictors of less decreases in use likelihood over time included: for cigarettes and traditional cigars, ACEs; for e-cigarettes, extraversion; for little cigars/cigarillos, depressive symptoms and extraversion; for SLT, openness; and for hookah, neuroticism (controlling for sociodemographics). Predictors of greater decreases in likelihood of use over time included: for e-cigarettes and hookah, conscientiousness; and for cannabis, agreeableness. CONCLUSIONS Interventions to reduce young adults' use might target distinct risk/protective factors for using different products (and combinations). Moreover, results regarding decreasing likelihood of using tobacco products but not cannabis over time warrant replication and explanation in other samples.
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Affiliation(s)
- Katelyn F Romm
- Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA; George Washington Cancer Center, George Washington University, Washington, DC 20052, USA.
| | - Yan Wang
- Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA
| | - Zongshuan Duan
- Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA
| | - Breesa Bennett
- Department of Epidemiology, Milken Institute School of Public Helath, George Washington University, Washington, DC 20052, USA
| | - Caroline Fuss
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA
| | - Yan Ma
- Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA
| | - Melissa D Blank
- Department of Psychology, West Virginia University, Morgantown WV 26506, USA
| | - Bethany C Bray
- Institute for Health Research and Policy, The Univeristy of Illinois Chicago, Chicago IL 60607, USA
| | - Jasjit S Ahluwalia
- Department of Behavioral and Social Sciences, Brown University School of Public Health, and Brown University Cancer Center, Providence RI 02912, USA
| | - Carla J Berg
- Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA; George Washington Cancer Center, George Washington University, Washington, DC 20052, USA
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Rahmandar MH, Gribben V. E-cigarette disparities: Who are the targets? Curr Probl Pediatr Adolesc Health Care 2022; 52:101201. [PMID: 35523675 DOI: 10.1016/j.cppeds.2022.101201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The tobacco industry has a long history of promoting health disparities especially through targeted marketing campaigns. The disparities perpetuated by e-cigarettes are just becoming apparent. This article will focus on disparities in e-cigarette usage within the following categories of youth: racial or ethnic groups, sexual and gender minoritized individuals, adolescents with asthma, teens with disabilities, and those coping with mental health stresses. Millions of youth are still using e-cigarettes, and e-cigarette use is disproportionately impacting White youth, youth who identify at lesbian, gay and transgender, and youth with disabilities. In addition, this article highlights the timeline of key tobacco regulations and recommended actions to curb the e-cigarette epidemic.
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Affiliation(s)
- Maria H Rahmandar
- Medical Director, Substance Use & Prevention Program (SUPP), The Potocsnak Family Division of Adolescent and Young Adult Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Assistant Professor, Department of Pediatrics, Northwestern University Feinberg School of Medicine.
| | - Valerie Gribben
- Assistant Professor of Pediatrics, University of California San Francisco (UCSF).
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Simon P, Jiang Y, Buta E, Sartor CE, Krishnan-Sarin S, Gueorguieva R. Longitudinal Trajectories of Multiple Nicotine Product Use Among Youths in the Population Assessment of Tobacco and Health Study. JAMA Netw Open 2022; 5:e223549. [PMID: 35319763 PMCID: PMC8943628 DOI: 10.1001/jamanetworkopen.2022.3549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/02/2022] [Indexed: 11/28/2022] Open
Abstract
Importance Multiple nicotine product use (MNPU) among youths is a significant public health concern. Much remains unknown about the patterns of MNPU in youths, including how socioecological factors influence trajectories of MNPU, which may inform targeted prevention. Objective To identify longitudinal trajectories of MNPU and characterize them according to socioecological factors associated with tobacco use. Design, Setting, and Participants This US-based longitudinal survey study used data from waves 1 (September 12, 2013, to December 14, 2014) through 4 (December 1, 2016, to January 3, 2018) of the Population Assessment of Tobacco and Health (PATH) study. Participants included 10 086 youths (aged 12-17 years) at wave 1, with follow-up data at waves 2 to 4 (assessed approximately 1 year apart) in the youth or adult data sets. Data were analyzed from January 15, 2020, to December 22, 2021. Exposures Socioecological factors at wave 1. Main Outcomes and Measures Outcome variables were days of use in the past 30 days of 4 products: cigarettes, e-cigarettes, cigars, and smokeless tobacco. Factors associated with use of the nicotine products that were collected at wave 1 included sociodemographic factors, internalizing and externalizing symptoms, living with a tobacco user, rules about tobacco use at home, conversations with parents about not using tobacco, tobacco accessibility, and exposure to advertising. Multitrajectory latent class growth analysis was used to identify distinct subgroups with similar patterns of use over time. Multinomial logistic regression models were used to investigate factors associated with class membership. Weights were applied to all data except frequencies to account for the complex survey design. Results Of the 10 086 youths included in the analysis, 5142 (51.2%) self-identified as male; 4792 (54.7%) were non-Hispanic White; and 5315 (50.6%) were aged 12 to 14 years. Six latent trajectory classes were identified: nonuse (8056 [78.2%]), experimentation (908 [9.8%]), increasing e-cigarette/cigarette use (359 [4.0%]), increasing cigarette/cigar use (320 [3.3%]), decreasing cigarette/e-cigarette/cigar use (302 [3.2%]), and stable smokeless tobacco/cigarette use (141 [1.6%]). Compared with the nonuse class, being older (odds ratio [OR] range, 2.54 [95% CI, 1.94-3.32] to 9.49 [95% CI, 6.03-14.93]), being female (OR range, 0.06 [95% CI, 0.03-0.14] to 0.71 [95% CI, 0.53-0.94]), living with a tobacco user (OR range, 1.43 [95% CI, 1.11-1.83] to 4.94 [95% CI, 3.43-7.13]), and having relaxed rules about noncombustible tobacco product use at home (OR range, 1.41 [95% CI, 1.02-1.94] to 3.42 [95% CI, 1.74-6.75]) were associated with classification in all the use classes. A high degree of difficulty accessing tobacco was associated with lower odds of membership in the increasing cigarette/cigar use vs nonuse classes (OR, 0.62 [95% CI, 0.40-0.98]). Conclusions and Relevance These survey results highlight the heterogeneity of longitudinal pathways of MNPU in US youths and suggest directions for future prevention and regulatory efforts directed at tobacco use behaviors in this population.
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Affiliation(s)
- Patricia Simon
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Yannuo Jiang
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Eugenia Buta
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Carolyn E. Sartor
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | | | - Ralitza Gueorguieva
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
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Unger JB, Falcon A. E-cigarette use among Hispanics: Reducing risk or recruiting new tobacco users? Addict Behav 2022; 125:107149. [PMID: 34678711 DOI: 10.1016/j.addbeh.2021.107149] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/25/2021] [Accepted: 10/09/2021] [Indexed: 12/15/2022]
Abstract
The prevalence of cigarette smoking in the United States has been declining for over 50 years among all racial/ethnic groups. However, this progress could be stalled or even reversed by the increasing popularity of electronic cigarettes (e-cigarettes). Hispanics have experienced tobacco-related health disparities resulting from early age of cigarette smoking initiation and less success in quitting smoking. The effects of e-cigarettes on tobacco-related health disparities among Hispanics have not been well described. The uptake of e-cigarettes among Hispanic youth could lead to a "tipping point" phenomenon, in which Hispanics disproportionately become nicotine-dependent in adolescence and suffer increased tobacco-related disease in adulthood. Hypothetically, if Hispanic adult cigarette smokers switch to e-cigarettes, they could reduce (but not completely eliminate) their health risks. This article summarizes the research on the use of e-cigarettes among Hispanics. We describe the prevalence and patterns of e-cigarette use among Hispanic adolescents and adults compared with non-Hispanic whites. Findings indicate that e-cigarette use is rare among Hispanic adults, but Hispanic adolescents are at risk of experimenting with e-cigarettes at early ages, potentially leading to early nicotine addiction and exacerbating tobacco-related disparities in the future. Health education and policy interventions are needed to prevent e-cigarette use among Hispanic adolescents, while acknowledging that some Hispanic adult cigarette smokers may benefit from switching to e-cigarettes.
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Affiliation(s)
- Jennifer B Unger
- University of Southern California Keck School of Medicine, United States.
| | - Adolph Falcon
- National Alliance for Hispanic Health, United States
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Dai H, Ramos AK, Faseru B, Hill JL, Sussman SY. Racial Disparities of E-Cigarette Use Among US Youths: 2014‒2019. Am J Public Health 2021; 111:2050-2058. [PMID: 34554815 PMCID: PMC8630507 DOI: 10.2105/ajph.2021.306448] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/07/2021] [Indexed: 11/04/2022]
Abstract
Objectives To evaluate disparities in youth e-cigarette use patterns and flavor use by race/ethnicity over time. Methods We used data from the US 2014-2019 National Youth Tobacco Survey (NYTS) to examine trends in dual use (co-use of e-cigarettes and cigarettes or other tobacco products), occasional (≤ 5 days) versus frequent use (≥ 20 days) in the past 30 days, and flavor use among current (past-30-day) e-cigarette users (n = 13 178) across racial/ethnic groups (non-Hispanic Whites, non-Hispanic Blacks, Hispanics/Latinos, and non-Hispanic others). Results Among current e-cigarette users, dual use and occasional use decreased significantly from 2014 to 2019 across racial and ethnic groups except for non-Hispanic Blacks; frequent use and flavored e-cigarette use increased among non-Hispanic Whites, Hispanics/Latinos, and non-Hispanic others but not among non-Hispanic Blacks. In 2019, non-Hispanic Black e-cigarette users were more likely to report dual use (adjusted odds ratio [AOR] = 2.2; 95% confidence interval [CI] = 1.5, 3.2; P < .001) and occasional use of e-cigarettes (AOR = 3.7; 95% CI = 2.3, 5.9; P < .001) but less likely to report frequent use (AOR = 0.2; 95% CI = 0.1, 0.4; P < .001) and flavored e-cigarette use (AOR = 0.4; 95% CI = 0.3, 0.5; P < .001) than their White peers. Conclusions Youth e-cigarette use patterns differed considerably across racial/ethnic groups, and tailored strategies to address disparities in e-cigarette use are needed. (Am J Public Health. 2021;111(11):2050-2058. https://doi.org/10.2105/AJPH.2021.306448).
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Affiliation(s)
- Hongying Dai
- Hongying Dai is with the Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha. Athena K. Ramos is with the Department of Health Promotion, College of Public Health, University of Nebraska Medical Center. Babalola Faseru is with the Department of Population Health, University of Kansas Medical Center, Kansas City. Jennie L. Hill is with the Department of Epidemiology, College of Public Health, University of Nebraska Medical Center. Steven Y. Sussman is with the Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles
| | - Athena K Ramos
- Hongying Dai is with the Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha. Athena K. Ramos is with the Department of Health Promotion, College of Public Health, University of Nebraska Medical Center. Babalola Faseru is with the Department of Population Health, University of Kansas Medical Center, Kansas City. Jennie L. Hill is with the Department of Epidemiology, College of Public Health, University of Nebraska Medical Center. Steven Y. Sussman is with the Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles
| | - Babalola Faseru
- Hongying Dai is with the Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha. Athena K. Ramos is with the Department of Health Promotion, College of Public Health, University of Nebraska Medical Center. Babalola Faseru is with the Department of Population Health, University of Kansas Medical Center, Kansas City. Jennie L. Hill is with the Department of Epidemiology, College of Public Health, University of Nebraska Medical Center. Steven Y. Sussman is with the Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles
| | - Jennie L Hill
- Hongying Dai is with the Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha. Athena K. Ramos is with the Department of Health Promotion, College of Public Health, University of Nebraska Medical Center. Babalola Faseru is with the Department of Population Health, University of Kansas Medical Center, Kansas City. Jennie L. Hill is with the Department of Epidemiology, College of Public Health, University of Nebraska Medical Center. Steven Y. Sussman is with the Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles
| | - Steven Y Sussman
- Hongying Dai is with the Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha. Athena K. Ramos is with the Department of Health Promotion, College of Public Health, University of Nebraska Medical Center. Babalola Faseru is with the Department of Population Health, University of Kansas Medical Center, Kansas City. Jennie L. Hill is with the Department of Epidemiology, College of Public Health, University of Nebraska Medical Center. Steven Y. Sussman is with the Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles
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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: 2.0] [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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