Abstract
Background
Digital smoking cessation interventions may reduce racial disparities in cessation because they are low cost, scalable, and can provide support at any place or time. Despite their promise, whether Black adults engage with and benefit from these tools is largely unknown. In a secondary analysis of a randomized trial, we explored the efficacy of an acceptance and commitment therapy (ACT)-based website (WebQuit) for smoking cessation compared to a US clinical practice guidelines-based website (Smokefree.gov) among Black adults.
Methods
A total of 316 Black adult smokers were enrolled in the trial between May 2017 and September 2018 and received access to WebQuit or Smokefree for 12 months. Participants self-reported on 30-day and 7-day abstinence from cigarette smoking at 3, 6, and 12-months. Treatment engagement was objectively measured and compared between arms. Participants also reported on their willingness to accept cues to smoke without smoking.
Results
WebQuit versus Smokefree participants engaged more with their website (higher number of logins, Incidence Rate Ratio (IRR) = 2.21; 95% CI: 1.70, 2.89). Complete-case 30-day point prevalence abstinence (PPA) at 12-months was 34% for WebQuit vs. 29% for Smokefree (OR = 1.22 95% CI: 0.73, 2.04). Increases in participants’ willingness to accept cues to smoke mediated the intervention effect on abstinence from cigarette smoking at 12 months.
Conclusions
This study addressed the lack of research on the utilization and efficacy of digital interventions for helping Black adults quit smoking. WebQuit participants engaged more with their website and quit smoking at a somewhat higher rate relative to Smokefree participants, albeit nonsignificant. Findings suggest high acceptability of ACT-based digital interventions to enable Black adult smokers to engage and sustain behavior changes.
Trial Registration
ClinicalTrials.gov Identifier: NCT01812278.
Similar content being viewed by others
Code Availability
The code for the data analysis underlying this article will be shared on reasonable request to Jonathan B. Bricker at jbricker@fredhutch.org.
References
U.S. Department of Health and Human Services. Smoking Cessation: A Report of the Surgeon General—Executive Summary. 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; 2020.
Cornelius ME, Wang TW, Jamal A, Loretan CG. LJ N 2017 Tobacco product use among adults—United States. MMWR Morb Mortal Wkly Rep. 2019;65(52):1457–64. https://doi.org/10.15585/mmwr.mm6552a1.2020.
Babb S, Malarcher A, Schauer G, Asman K, Jamal A. Quitting smoking among adults—United States, 2000–2015. MMWR Morb Mortal Wkly Rep. 2017;65(52):1457–64. https://doi.org/10.15585/mmwr.mm6552a1.2017.
Garfinkel L. Cigarette smoking and coronary heart disease in blacks: comparison to whites in a prospective study. Am Heart J. 1984;108(3 Pt 2):802–7.
Fiore MC, Novotny TE, Pierce JP, Hatziandreu EJ, Patel KM, Davis RM. Trends in cigarette smoking in the United States. The changing influence of gender and race. JAMA. 1989;261(1):49–55.
Alexander LA, Trinidad DR, Sakuma KL, Pokhrel P, Herzog TA, Clanton MS, et al. Why we must continue to investigate menthol’s role in the African American smoking paradox. Nicotine Tob Res. 2016;18(Suppl 1):S91-101.
McWhorter WP, Boyd GM, Mattson ME. Predictors of quitting smoking: the NHANES I followup experience. J Clin Epidemiol. 1990;43(12):1399–405.
Trinidad DR, Perez-Stable EJ, White MM, Emery SL, Messer K. A nationwide analysis of US racial/ethnic disparities in smoking behaviors, smoking cessation, and cessation-related factors. Am J Public Health. 2011;101(4):699–706.
Trinidad DR, Xie B, Fagan P, Pulvers K, Romero DR, Blanco L, et al. Disparities in the population distribution of african american and non-hispanic white smokers along the quitting continuum. Health Educ Behav. 2015;42(6):742–51.
Webb Hooper M, Kolar SK. Racial/ethnic differences in electronic cigarette knowledge, social norms, and risk perceptions among current and former smokers. Addict Behav. 2017;67:86–91.
Nguyen-Grozavu FT, Pierce JP, Sakuma KK, Leas EC, McMenamin SB, Kealey S, et al. Widening disparities in cigarette smoking by race/ethnicity across education level in the United States. Prev Med. 2020;139:106220.
Webb Hooper M, Calixte-Civil P, Verzijl C, Brandon KO, Asfar T, Koru-Sengul T, et al. Associations between perceived racial discrimination and tobacco cessation among diverse treatment seekers. Ethn Dis. 2020;30(3):411–20.
Sakuma KK, Pierce JP, Fagan P, TN-G F, Leas EC, Messer K, et al. Racial/ethnic disparities across indicators of cigarette smoking in the era of increased tobacco control, 1992–2019. Nicotine Tob Res. 2020;23:309.
Corral I, Landrine H. Racial discrimination and health-promoting vs damaging behaviors among African-American adults. J Health Psychol. 2012;17(8):1176–82.
Kendzor DE, Businelle MS, Reitzel LR, Rios DM, Scheuermann TS, Pulvers K, et al. Everyday discrimination is associated with nicotine dependence among African American, Latino, and White smokers. Nicotine Tob Res. 2014;16(6):633–40.
Webb Hooper M. Racial/ethnic differences in physiological stress and relapse among treatment seeking tobacco smokers. Int J Environ Res Public Health. 2019;16(17):3090.
Kendzor DE, Cofta-Woerpel LM, Mazas CA, Li Y, Vidrine JI, Reitzel LR, et al. Socioeconomic status, negative affect, and modifiable cancer risk factors in African-American smokers. Cancer Epidemiol Biomarkers Prev. 2008;17(10):2546–54.
Graham AL, Amato MS. Twelve million smokers look online for smoking cessation help annually: health information national trends survey data, 2005–2017. Nicotine Tob Res. 2019;21(2):249–52.
Hills O, Shah D. Online health information seeking, medical care beliefs and timeliness of medical check-ups among African Americans. Patient Educ Couns 2020 https://doi.org/10.1016/j.pec.2020.06.006
Pew Research Center. Mobile fact sheets: Internet/broadband. 2021. URL: https://www.pewresearch.org/internet/fact-sheet/internet-broadband/. Accessed 25 June 2021.
Griffith DM, Bergner EM, Fair AS, Wilkins CH. Using mistrust, distrust, and low trust precisely in medical care and medical research advances health equity. Am J Prev Med. 2021;60(3):442–5.
Webb Hooper M, Baker EA, Robinson RG. Efficacy of a DVD-based smoking cessation intervention for African Americans. Nicotine Tob Res. 2014;16(10):1327–35.
Faro JM, Nagawa CS, Allison JA, Lemon SC, Mazor KM, Houston TK, et al. Comparison of a collective intelligence tailored messaging system on smoking cessation between African American and White people who smoke: quasi-experimental design. JMIR Mhealth Uhealth. 2020;8(4): e18064.
Webb Hooper M, Miller DB, Saldivar E, Mitchell C, Johnson L, Burns M, et al. Randomized controlled trial testing a video-text tobacco cessation intervention among economically disadvantaged African American adults. Psychol Addict Behav. 2021;35(7):769–77.
Bricker JB, Mull KE, Kientz JA, Vilardaga R, Mercer LD, Akioka KJ, et al. Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy. Drug Alcohol Depend. 2014;143:87–94.
Bricker JB, Mull KE, McClure JB, Watson NL, Heffner JL. Improving quit rates of web-delivered interventions for smoking cessation: full-scale randomized trial of WebQuit.org versus Smokefree.gov. Addiction. 2018;113(5):914–23.
Bricker JB, Watson NL, Mull KE, Sullivan BM, Heffner JL. Efficacy of smartphone applications for smoking cessation: a randomized clinical trial. JAMA Intern Med. 2020;180(11):1472–80.
Hayes SC, Levin ME, Plumb-Vilardaga J, Villatte JL, Pistorello J. Acceptance and commitment therapy and contextual behavioral science: examining the progress of a distinctive model of behavioral and cognitive therapy. Behav Ther. 2013;44(2):180–98.
Fiore MC. US public health service clinical practice guideline: treating tobacco use and dependence. Respir Care. 2000;45(10):1200–62.
Purnell JQ, Peppone LJ, Alcaraz K, McQueen A, Guido JJ, Carroll JK, et al. Perceived discrimination, psychological distress, and current smoking status: results from the Behavioral Risk Factor Surveillance System Reactions to Race module, 2004–2008. Am J Public Health. 2012;102(5):844–51.
Webb Hooper M, Kolar SK. Distress, race/ethnicity and smoking cessation in treatment-seekers: implications for disparity elimination. Addiction. 2015;110(9):1495–504.
Radloff LS. The CES-D Scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385–401.
Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom KO. The fagerstrom test for nicotine dependence: a revision of the fagerstrom tolerance questionnaire. Br J Addict. 1991;86(9):1119–27.
Roy M, Dum M, Sobell LC, Sobell MB, Simco ER, Manor H, et al. Comparison of the quick drinking screen and the alcohol timeline followback with outpatient alcohol abusers. Subst Use Misuse. 2008;43(14):2116–23.
Gifford EV, Kohlenberg BS, Hayes SC, Antonuccio DO, Piasecki MM, Rasmussen-Hall ML, et al. Acceptance-based treatment for smoking cessation. Behav Ther. 2004;35(4):689–705.
Kahler CW, Lachance HR, Strong DR, Ramsey SE, Monti PM, Brown RA. The commitment to quitting smoking scale: initial validation in a smoking cessation trial for heavy social drinkers. Addict Behav. 2007;32(10):2420–4.
Rubin DB. Multiple imputation for nonresponse in surveys. New York: Wiley; 1987. p. 258.
Kernan WN, Viscoli CM, Makuch RW, Brass LM, Horwitz RI. Stratified randomization for clinical trials. J Clin Epidemiol. 1999;52(1):19–26.
Pocock SJ, Assmann SE, Enos LE, Kasten LE. Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practice and problems. Stat Med. 2002;21(19):2917–30.
Assmann SF, Pocock SJ, Enos LE, Kasten LE. Subgroup analysis and other (mis)uses of baseline data in clinical trials. Lancet. 2000;355(9209):1064–9.
Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. 2nd ed. New York, NY: Guilford Press; 2018.
R Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2020.https://www.R-project.org/. [Internet]. Accessed 25 June 2021.
Venables WN, Ripley BD. Modern applied statistics with S. 4th ed. Springer; 2002. https://doi.org/10.1007/978-0-387-21706-2.
van Buuren S, Groothuis-Oudshoorn K. Mice: multivariate imputation by chained equations in R. J Stat Software. (2011);45(3):1–67.
Santiago-Torres M, Mull KE, Sullivan BM, Kwon D, Nollen NL, Zvolensky MJ, et al. Efficacy and utilization of an acceptance and commitment therapy-based smartphone application for smoking cessation among Black adults: secondary analysis of the iCanQuit randomized trial. Addiction. 2022;117(3):760–71.
Herbec A, Brown J, Shahab L, West R. Lessons learned from unsuccessful use of personal carbon monoxide monitors to remotely assess abstinence in a pragmatic trial of a smartphone stop smoking app - a secondary analysis. Addict Behav Rep. 2019;9:100122.
Acknowledgements
We appreciate the tireless contributions of the entire study staff, most notably Eric Meier, Carolyn Ehret, Brianna Sullivan, the design services of Blink UX, and the development services of Moby, Inc. We are very appreciative of the study participants.
Funding
The study was funded by the NIH (NIH: 5R01CA166646 and 5R01CA192849), awarded to Dr. Bricker, from the National Cancer Institute. Manuscript preparation was additionally supported by the National Institute on Minority Health and Health Disparities (grant number 1K01MD015295-01A1). Ahluwalia funded in part by P20GM130414, a NIH-funded Center of Biomedical Research Excellence (COBRE). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Author information
Authors and Affiliations
Contributions
Jonathan J. Bricker, Margarita Santiago-Torres, Diana M. Kwon, and Kristin E. Mull conceptualized the study. Margarita Santiago-Torres led the manuscript writing. Kristin Mull led and conducted the data analysis. All authors assisted in manuscript writing and provided critical review. All authors have read and agreed to the published versions of the manuscript.
Corresponding author
Ethics declarations
Ethics Approval
Study procedures were approved by the Fred Hutchinson Cancer Center Institutional Review Board (IRB approval number: 7859).
Consent to Participate
Informed consent was obtained from all individual participants included in the study.
Consent for Publication
No identifying data or images re included in this study.
Conflict of Interest
The authors declare no or competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Santiago-Torres, M., Kwon, D.M., Mull, K.E. et al. Efficacy of Web-Delivered Acceptance and Commitment Therapy (ACT) for Helping Black Adults Quit Smoking. J. Racial and Ethnic Health Disparities 10, 2816–2825 (2023). https://doi.org/10.1007/s40615-022-01458-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40615-022-01458-5