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Pascoe M, Nagia S, Atal N, Gadway H, Huizenga K, Bailey B. Have e-cigarettes created a new crop of young adult substance users? Overlap between e-cigarette, traditional cigarette, and alcohol use. JOURNAL OF SUBSTANCE USE 2021. [DOI: 10.1080/14659891.2021.2010141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Michael Pascoe
- Central Michigan University College of Medicine, Mt Pleasant, Michigan, USA
| | - Sally Nagia
- Central Michigan University College of Medicine, Mt Pleasant, Michigan, USA
| | - Nanaki Atal
- Central Michigan University College of Medicine, Mt Pleasant, Michigan, USA
| | - Hannah Gadway
- Central Michigan University College of Medicine, Mt Pleasant, Michigan, USA
| | - Kamren Huizenga
- Central Michigan University College of Medicine, Mt Pleasant, Michigan, USA
| | - Beth Bailey
- Central Michigan University College of Medicine, Mt Pleasant, Michigan, USA
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Li Z, Benowitz-Fredericks C, Ling PM, Cohen JE, Thrul J. Assessing Young Adults' ENDS Use via Ecological Momentary Assessment and a Smart Bluetooth Enabled ENDS Device. Nicotine Tob Res 2021; 23:842-848. [PMID: 33031497 DOI: 10.1093/ntr/ntaa205] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 10/01/2020] [Indexed: 11/13/2022]
Abstract
INTRODUCTION The assessment of electronic nicotine delivery systems (ENDS) use poses unique challenges that go beyond established assessment methods for tobacco cigarettes. Recent studies have proposed using ecological momentary assessment (EMA), a method to collect self-reported data on mobile devices, or data passively collected by "smart" Bluetooth enabled ENDS to assess use. The current study sought to compare ENDS use data using EMA and puff counts collected from a smart device. AIMS AND METHODS We recruited 18 young adult ENDS users (age M = 23.33; 44.4% female) from the San Francisco Bay Area. For a total of 30 days, participants completed daily diaries by EMA and used a second-generation smart Bluetooth enabled ENDS that collected puff data. Repeated measures correlations, multilevel regressions, and paired t tests assessed concordance of EMA reports and ENDS data. A subset of four highly compliant participants were selected for sensitivity analyses. RESULTS Among all 18 participants, completion of EMA daily diaries was high (77.4%). The ENDS device collected approximately twice as many puffs per day as participants reported. Compared with self-reported number of sessions and amount of e-liquid used, self-reported puff counts had the highest correlation with device-collected puff counts (rrm = 0.49; p < .001). Correlations between self-reported and device-collected puff counts improved among the subset of four highly compliant participants (rrm = 0.59; p < .001). CONCLUSIONS Self-reports potentially underestimate use of ENDS. Puff counts appear to be the best self-reported measure to assess ENDS use compared with number of sessions or liquid volume. IMPLICATIONS The comparison of EMA self-reports and passively collected ENDS device data can inform future efforts to assess ENDS use. Self-reported puff counts are preferable over number of sessions or amount of liquid used, but compared with objective usage data, self-reported puff counts may still underestimate actual use. ENDS use behavior is likely higher than users estimate and report. Future research on improved measures of ENDS use is needed.
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Affiliation(s)
- Zehan Li
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | - Pamela M Ling
- Department of General Internal Medicine, Center for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, CA
| | - Joanna E Cohen
- Institute for Global Tobacco Control, Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Johannes Thrul
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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Krist AH, Davidson KW, Mangione CM, Barry MJ, Cabana M, Caughey AB, Donahue K, Doubeni CA, Epling JW, Kubik M, Ogedegbe G, Pbert L, Silverstein M, Simon MA, Tseng CW, Wong JB. Interventions for Tobacco Smoking Cessation in Adults, Including Pregnant Persons: US Preventive Services Task Force Recommendation Statement. JAMA 2021; 325:265-279. [PMID: 33464343 DOI: 10.1001/jama.2020.25019] [Citation(s) in RCA: 243] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
IMPORTANCE Tobacco use is the leading preventable cause of disease, disability, and death in the US. In 2014, it was estimated that 480 000 deaths annually are attributed to cigarette smoking, including second hand smoke exposure. Smoking during pregnancy can increase the risk of numerous adverse pregnancy outcomes (eg, miscarriage and congenital anomalies) and complications in the offspring (including sudden infant death syndrome and impaired lung function in childhood). In 2019, an estimated 50.6 million US adults (20.8% of the adult population) used tobacco; 14.0% of the US adult population currently smoked cigarettes and 4.5% of the adult population used electronic cigarettes (e-cigarettes). Among pregnant US women who gave birth in 2016, 7.2% reported smoking cigarettes while pregnant. OBJECTIVE To update its 2015 recommendation, the USPSTF commissioned a review to evaluate the benefits and harms of primary care interventions on tobacco use cessation in adults, including pregnant persons. POPULATION This recommendation statement applies to adults 18 years or older, including pregnant persons. EVIDENCE ASSESSMENT The USPSTF concludes with high certainty that the net benefit of behavioral interventions and US Food and Drug Associated (FDA)-approved pharmacotherapy for tobacco smoking cessation, alone or combined, in nonpregnant adults who smoke is substantial. The USPSTF concludes with high certainty that the net benefit of behavioral interventions for tobacco smoking cessation on perinatal outcomes and smoking cessation in pregnant persons is substantial. The USPSTF concludes that the evidence on pharmacotherapy interventions for tobacco smoking cessation in pregnant persons is insufficient because few studies are available, and the balance of benefits and harms cannot be determined. The USPSTF concludes that the evidence on the use of e-cigarettes for tobacco smoking cessation in adults, including pregnant persons, is insufficient, and the balance of benefits and harms cannot be determined. The USPSTF has identified the lack of well-designed, randomized clinical trials on e-cigarettes that report smoking abstinence or adverse events as a critical gap in the evidence. RECOMMENDATIONS The USPSTF recommends that clinicians ask all adults about tobacco use, advise them to stop using tobacco, and provide behavioral interventions and FDA-approved pharmacotherapy for cessation to nonpregnant adults who use tobacco. (A recommendation) The USPSTF recommends that clinicians ask all pregnant persons about tobacco use, advise them to stop using tobacco, and provide behavioral interventions for cessation to pregnant persons who use tobacco. (A recommendation) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of pharmacotherapy interventions for tobacco cessation in pregnant persons. (I statement) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of e-cigarettes for tobacco cessation in adults, including pregnant persons. The USPSTF recommends that clinicians direct patients who use tobacco to other tobacco cessation interventions with proven effectiveness and established safety. (I statement).
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Affiliation(s)
| | - Alex H Krist
- Fairfax Family Practice Residency, Fairfax, Virginia
- Virginia Commonwealth University, Richmond
| | - Karina W Davidson
- Feinstein Institute for Medical Research at Northwell Health, Manhasset, New York
| | | | | | | | | | | | | | | | | | | | - Lori Pbert
- University of Massachusetts Medical School, Worcester
| | | | | | - Chien-Wen Tseng
- University of Hawaii, Honolulu
- Pacific Health Research and Education Institute, Honolulu, Hawaii
| | - John B Wong
- Tufts University School of Medicine, Boston, Massachusetts
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McKelvey K, Halpern-Felsher B. How and Why California Young Adults Are Using Different Brands of Pod-Type Electronic Cigarettes in 2019: Implications for Researchers and Regulators. J Adolesc Health 2020; 67:46-52. [PMID: 32192827 PMCID: PMC7311231 DOI: 10.1016/j.jadohealth.2020.01.017] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 12/22/2019] [Accepted: 01/08/2020] [Indexed: 12/31/2022]
Abstract
PURPOSE The aim of the study was to describe young adult use and perceptions of different brands of pod-based electronic cigarettes (e-cigarettes) and compare with earlier types of non-pod-based e-cigarettes (e.g., mods and tanks). METHODS Data were collected from January to March 2019 and derive from the final wave of a cohort study recruited in 2013-2014 using a convenience sample from 10 large California high schools with racially/ethnically and socioeconomically diverse populations. A total of 445 participants completed an online survey (mean age = 20.1 years [SD = 1.66], 64.8% female [n = 278], 38.8% white [n = 161], 23.9% each for Asian and "more than one race" [n = 99], 13.5% other [n = 56], and 36.9% Hispanic [n = 160]). The main outcomes were description of and reasons to use pods, perceived nicotine content, and use patterns. RESULTS Although <25% of participants reported smoking cigarettes and using non-pod-based e-cigarettes, >25% reported ever use of JUUL. Similarly, <33% of cigarette smokers and non-pod-based e-cigarette users reported use in the past 30 days, and >50% of JUUL ever users did. The most agreed upon reason (58%) for using pods was because they are "easy to hide." About half of pod users "do not know" if they mix brands of e-juice and pods, the nicotine concentration in their e-juice cartridges, nor time to finish a cartridge. Of the 50% of participants who shared their pod, 23 (15%) did "sometimes," 20 (13%) "always," and 16 (11% each) "about half the time" or "often." There was no consensus about how to refer to different brands of pods. CONCLUSIONS Our findings indicate young adults harbor confusion about pod-based e-cigarettes, including nicotine content, usage patterns, and labeling, and that pod use is largely because of the ease with which they can "stealth" vape. The findings suggest needed regulation and education about these products.
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Affiliation(s)
| | - Bonnie Halpern-Felsher
- Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Palo Alto, California.
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Barrington-Trimis JL, Yang Z, Schiff S, Unger J, Cruz TB, Urman R, Cho J, Samet JM, Leventhal AM, Berhane K, McConnell R. E-cigarette Product Characteristics and Subsequent Frequency of Cigarette Smoking. Pediatrics 2020; 145:peds.2019-1652. [PMID: 32253264 PMCID: PMC7193941 DOI: 10.1542/peds.2019-1652] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/19/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND There is a dearth of evidence regarding the association of use of electronic cigarettes (e-cigarettes) with certain product characteristics and adolescent and young adult risk of unhealthy tobacco use patterns (eg, frequency of combustible cigarette smoking), which is needed to inform the regulation of e-cigarettes. METHODS Data were collected via an online survey of participants in the Southern California Children's Health Study from 2015 to 2016 (baseline) and 2016 to 2017 (follow-up) (N = 1312). We evaluated the association of binary categories of 3 nonmutually exclusive characteristics of the e-cigarette used most frequently with the number of cigarettes smoked in the past 30 days at 1-year follow-up. Product characteristics included device (vape pen and/or modifiable electronic cigarette [mod]), use of nicotine in electronic liquid (e-liquid; yes or no), and use for dripping (directly dripping e-liquid onto the device; yes or no). RESULTS Relative to never e-cigarette users, past-30-day e-cigarette use was associated with greater frequency of past-30-day cigarette smoking at follow-up. Among baseline past-30-day e-cigarette users, participants who used mods (versus vape pens) smoked >6 times as many cigarettes at follow-up (mean: 20.8 vs 1.3 cigarettes; rate ratio = 6.33; 95% confidence interval: 1.64-24.5) after adjustment for sociodemographic characteristics, baseline frequency of cigarette smoking, and number of days of e-cigarette use. After adjustment for device, neither nicotine e-liquid nor dripping were associated with frequency of cigarette smoking. CONCLUSIONS Baseline mod users (versus vape pen users) smoked more cigarettes in the past 30 days at follow-up. Regulation of e-cigarette device type warrants consideration as a strategy to reduce cigarette smoking among adolescents and young adults who vape.
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Affiliation(s)
- Jessica L. Barrington-Trimis
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Zhi Yang
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Sara Schiff
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Jennifer Unger
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Tess Boley Cruz
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Robert Urman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Junhan Cho
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Jonathan M. Samet
- Colorado School of Public Health, University of Colorado, Aurora, Colorado
| | - Adam M. Leventhal
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Kiros Berhane
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
| | - Rob McConnell
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
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