Stopping use of E-cigarettes and smoking combustible cigarettes: findings from a large longitudinal digital smoking cessation intervention study in the United States.
Cessation Aid
Digital intervention
Electronic cigarettes
Smoking Cessation
Smoking characteristics
Journal
BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768
Informations de publication
Date de publication:
27 Sep 2024
27 Sep 2024
Historique:
received:
30
04
2024
accepted:
09
09
2024
medline:
28
9
2024
pubmed:
28
9
2024
entrez:
28
9
2024
Statut:
epublish
Résumé
Digital interventions have been widely implemented to promote tobacco cessation. However, implementations of these interventions have not yet considered how participants' e-cigarette use may influence their quitting outcomes. We explored the association of e-cigarette use and quitting smoking within the context of a study testing a digital tobacco cessation intervention among individuals in the United States who were 18 years and older, smoked combustible cigarettes, and enrolled in the intervention between August 2017 and March 2019. We identified four e-cigarette user groups (n = 990) based on the participants' baseline and six-month e-cigarette use (non-users, n = 621; recently started users, n = 60; sustained users, n = 187; recently stopped users, n = 122). A multiple logistic regression was used to estimate the adjusted odds ratios (AOR) of six-month quit outcome and the e-cigarette user groups. Compared to e-cigarette non-users, the odds of quitting smoking were significantly higher among recently stopped users (AOR = 1.68, 95% CI [1.06, 2.67], p = 0.03). Participants who were most successful at quitting combustible cigarettes also stopped using e-cigarettes at follow-up, although many sustained using both products. Findings suggest that digital tobacco cessation interventions may carefully consider how to promote e-cigarette use cessation among participants who successfully quit smoking. ClinicalTrials.gov identifier NCT03224520 (July 21, 2017).
Identifiants
pubmed: 39334264
doi: 10.1186/s13104-024-06939-w
pii: 10.1186/s13104-024-06939-w
doi:
Banques de données
ClinicalTrials.gov
['NCT03224520']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
276Subventions
Organisme : NIH HHS
ID : 2T32CA172009
Pays : United States
Organisme : NHLBI NIH HHS
ID : 1K12HL138049-01
Pays : United States
Organisme : NIDA NIH HHS
ID : R00DA046563
Pays : United States
Organisme : Patient-Centered Outcomes Research Institute
ID : CDR-1603-34645
Pays : United States
Informations de copyright
© 2024. The Author(s).
Références
Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990–2020: global burden of Disease Study. Lancet. 1997;349(9064):1498–504.
doi: 10.1016/S0140-6736(96)07492-2
pubmed: 9167458
Critchley JA, Capewell S. Mortality risk reduction associated with smoking cessation in patients with coronary heart disease: a systematic review. JAMA. 2003;290(1):86–97.
doi: 10.1001/jama.290.1.86
pubmed: 12837716
Fiore MC, Croyle RT, Curry SJ, Cutler CM, Davis RM, Gordon C, et al. Preventing 3 million premature deaths and helping 5 million smokers quit: a national action plan for tobacco cessation. Am J Public Health. 2004;94(2):205–10.
doi: 10.2105/AJPH.94.2.205
pubmed: 14759928
pmcid: 1448229
Centers for Disease Control and Prevention. Smoking & Tobacco Use. 2021 [cited 2021 Dec 9]. https://www.cdc.gov/tobacco/data_statistics/fact_sheets/fast_facts/index.htm
Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y, Dobson R. Mobile phone text messaging and app-based interventions for smoking cessation. Cochrane Database of Systematic Reviews. 2019 [cited 2022 Mar 9];(10). https://www.cochranelibrary.com/cdsr/doi/ https://doi.org/10.1002/14651858.CD006611.pub5/full
Ubhi HK, Michie S, Kotz D, Wong WC, West R. A Mobile App to Aid Smoking Cessation: preliminary evaluation of SmokeFree28. J Med Internet Res. 2015;17(1):e3479.
doi: 10.2196/jmir.3479
Rajani NB, Mastellos N, Filippidis FT. Self-Efficacy and Motivation to quit of smokers seeking to quit: quantitative Assessment of Smoking Cessation Mobile apps. JMIR mHealth uHealth. 2021;9(4):e25030.
doi: 10.2196/25030
pubmed: 33929336
pmcid: 8122290
Web-Assisted Tobacco Interventions (WATI). - North American Quitline Consortium. [cited 2022 Apr 4]. https://www.naquitline.org/page/wati
Prutzman YM, Wiseman KP, Grady MA, Budenz A, Grenen EG, Vercammen LK, et al. Using Digital Technologies to Reach Tobacco users who want to quit: evidence from the National Cancer Institute’s Smokefree.gov Initiative. Am J Prev Med. 2021;60(3):S172–84.
doi: 10.1016/j.amepre.2020.08.008
pubmed: 33663705
Chen R, Pierce JP, Leas EC, Benmarhnia T, Strong DR, White MM et al. Effectiveness of e-cigarettes as aids for smoking cessation: evidence from the PATH Study cohort, 2017–2019. Tobacco Control. 2022 Jan 11 [cited 2022 Feb 10]; https://tobaccocontrol.bmj.com/content/early/2022/01/11/tobaccocontrol -2021-056901.
Wang RJ, Bhadriraju S, Glantz SA. E-Cigarette use and adult cigarette Smoking Cessation: a Meta-analysis. Am J Public Health. 2021;111(2):230–46.
doi: 10.2105/AJPH.2020.305999
pubmed: 33351653
pmcid: 7811087
Zhu SH, Zhuang YL, Wong S, Cummins SE, Tedeschi GJ. E-cigarette use and associated changes in population smoking cessation: evidence from US current population surveys. BMJ. 2017;358:j3262.
doi: 10.1136/bmj.j3262
pubmed: 28747333
pmcid: 5526046
Levy DT, Yuan Z, Luo Y, Abrams DB. The relationship of E-Cigarette use to cigarette quit attempts and Cessation: insights from a large. Nationally Representative U S Surv Nicotine Tob Res. 2018;20(8):931–9.
doi: 10.1093/ntr/ntx166
Biener L, Hargraves JL. A longitudinal study of electronic cigarette Use among a Population-based sample of adult smokers: Association with Smoking Cessation and Motivation to quit. Nicotine Tob Res. 2015;17(2):127–33.
doi: 10.1093/ntr/ntu200
pubmed: 25301815
Hartmann-Boyce J, Lindson N, Butler AR, McRobbie H, Bullen C, Begh R, et al. Electronic cigarettes for smoking cessation. Cochrane Database Syst Rev. 2022;11(11):CD010216.
pubmed: 36384212
Faro JM, Orvek EA, Blok AC, Nagawa CS, McDonald AJ, Seward G, et al. Dissemination and effectiveness of the peer marketing and messaging of a web-assisted Tobacco intervention: protocol for a hybrid effectiveness trial. JMIR Res Protoc. 2019;8(7):e14814.
doi: 10.2196/14814
pubmed: 31339104
pmcid: 6683651
Faro J, Chen J, Flahive J, Nagawa C, Orvek E, Houston T, et al. Effects of a machine learning recommender system and viral peer marketing intervention on smoking cessation. JAMA Netw Open. 2023;6(1):e2250665.
doi: 10.1001/jamanetworkopen.2022.50665
pubmed: 36633844
pmcid: 9856644
Coley HL, Sadasivam RS, Williams JH, Volkman JE, Schoenberger YM, Kohler CL, et al. Crowdsourced peer- versus expert-written smoking-cessation messages. Am J Prev Med. 2013;45(5):543–50.
doi: 10.1016/j.amepre.2013.07.004
pubmed: 24139766
Sadasivam RS, Kinney RL, Delaughter K, Rao SR, Williams JH, Coley HL, et al. Who participates in web-assisted tobacco interventions? The QUIT-PRIMO and National Dental Practice-Based Research Network Hi-Quit studies. J Med Internet Res. 2013;15(5):e77.
doi: 10.2196/jmir.2385
pubmed: 23635417
pmcid: 3650921
Jarvis MJ, Tunstall-Pedoe H, Feyerabend C, Vesey C, Saloojee Y. Comparison of tests used to distinguish smokers from nonsmokers. Am J Public Health. 1987;77(11):1435–8.
doi: 10.2105/AJPH.77.11.1435
pubmed: 3661797
pmcid: 1647100
Peters EN, Harrell PT, Hendricks PS, O’Grady KE, Pickworth WB, Vocci FJ. Electronic cigarettes in adults in outpatient substance use treatment: awareness, perceptions, use, and reasons for use. Am J Addict. 2015;24(3):233–9.
doi: 10.1111/ajad.12206
pubmed: 25809200
IBM. IBM SPSS Statistics for Window. IBM Corp: Armonk, NY, USA, 2017.
Kong G, Morean ME, Cavallo DA, Camenga DR, Krishnan-Sarin S. Reasons for electronic cigarette Experimentation and Discontinuation among adolescents and Young adults. Nicotine Tob Res. 2015;17(7):847–54.
doi: 10.1093/ntr/ntu257
pubmed: 25481917
Pokhrel P, Herzog TA, Fagan P, Unger JB, Stacy AW. E-cigarette advertising exposure, explicit and implicit harm perceptions, and E-cigarette use susceptibility among nonsmoking young adults. Nicotine Tob Res. 2019;21(1):127–31.
doi: 10.1093/ntr/nty030
pubmed: 29444275
Russell C, Katsampouris E, Mckeganey N. Harm and addiction perceptions of the JUUL E-Cigarette among adolescents. Nicotine Tob Res. 2020;22(5):713–21.
doi: 10.1093/ntr/ntz183
pubmed: 31556452
Sutfin EL, McCoy TP, Morrell HER, Hoeppner BB, Wolfson M. Electronic cigarette use by college students. Drug Alcohol Depend. 2013;131(3):214–21.
doi: 10.1016/j.drugalcdep.2013.05.001
pubmed: 23746429
pmcid: 3760168
U.S. Department of Health and Human Services. E-Cigarette Use Among Youth and Young Adults: A Report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2016 [cited 2021 Dec 15]. https://e-cigarettes.surgeongeneral.gov/documents/2016_sgr_full_report_non-508.pdf
Pisinger C, Rasmussen SKB. The Health effects of Real-World Dual Use of Electronic and Conventional cigarettes versus the Health effects of Exclusive Smoking of Conventional cigarettes: a systematic review. Int J Environ Res Public Health. 2022;19(20):13687.
doi: 10.3390/ijerph192013687
pubmed: 36294263
pmcid: 9603628
Owusu D, Massey Z, Popova L. An experimental study of messages communicating potential harms of electronic cigarettes. PLoS ONE. 2020;15(10):e0240611.
doi: 10.1371/journal.pone.0240611
pubmed: 33085686
pmcid: 7577451
Webb Hooper M, Kolar SK. Racial/Ethnic differences in electronic cigarette use and reasons for Use among current and former smokers: findings from a community-based sample. Int J Environ Res Public Health. 2016;13(10):1009.
doi: 10.3390/ijerph13101009
pubmed: 27754449
pmcid: 5086748
Schoenborn CA, Gindi RM. Electronic cigarette Use among adults: United States, 2014. National Center for Health Statistics (U.S.). Division of Vital Statistics. Reproductive Statistics Branch., editor. 2015;(217). https://stacks.cdc.gov/view/cdc/76858
Carroll DM, Cole A. Racial/ethnic group comparisons of quit ratios and prevalences of cessation-related factors among adults who smoke with a quit attempt. Am J Drug Alcohol Abuse. 2022;48(1):58–68.
doi: 10.1080/00952990.2021.1977310
pubmed: 34752715
Glantz SA, Nguyen N, Oliveira da Silva AL. Population-based Disease odds for E-Cigarettes and dual use versus cigarettes. NEJM Evid. 2024;3(3):EVIDoa2300229.
doi: 10.1056/EVIDoa2300229
pubmed: 38411454
Hajek P, Phillips-Waller A, Przulj D, Pesola F, Smith KM, Bisal N et al. A Randomized Trial of E-Cigarettes versus Nicotine-Replacement Therapy. New England Journal of Medicine. 2019 Jan 30 [cited 2022 Jan 16]; https://www.nejm.org/doi/ https://doi.org/10.1056/NEJMoa1808779
Piñeiro B, López-Durán A, del Río EF, Martínez Ú, Brandon TH, Becoña E. Motivation to quit as a predictor of smoking cessation and abstinence maintenance among treated Spanish smokers. Addict Behav. 2016;53:40–5.
doi: 10.1016/j.addbeh.2015.09.017
pubmed: 26441045
Elshatarat RA, Yacoub MI, Khraim FM, Saleh ZT, Afaneh TR. Self-efficacy in treating tobacco use: A review article. Proceedings of Singapore Healthcare. 2016;25(4):243–8.
Abrams DB, Follick MJ, Biener L, Carey KB, Hitti J. Saliva cotinine as a measure of smoking status in field settings. Am J Public Health. 1987;77(7):846–8.
doi: 10.2105/AJPH.77.7.846
pubmed: 3592039
pmcid: 1647227
Nakagawa S. A farewell to Bonferroni: the problems of low statistical power and publication bias. Behav Ecol. 2004;15(6):1044–5.
doi: 10.1093/beheco/arh107
O’Keefe DJ. Colloquy: should Familywise Alpha be adjusted? Hum Commun Res. 2003;29(3):431–47.
Perneger TV. What’s wrong with Bonferroni adjustments. BMJ. 1998;316(7139):1236–8.
doi: 10.1136/bmj.316.7139.1236
pubmed: 9553006
pmcid: 1112991