Simultaneous vs. sequential treatment for smoking and weight management in tobacco quitlines: 6 and 12 month outcomes from a randomized trial

Terry Bush, Jennifer Lovejoy, Harold Javitz, Alula Jimenez Torres, Ken Wassum, Marcia M Tan, Bonnie Spring, Terry Bush, Jennifer Lovejoy, Harold Javitz, Alula Jimenez Torres, Ken Wassum, Marcia M Tan, Bonnie Spring

Abstract

Background: Smoking cessation often results in weight gain which discourages many smokers from quitting and can increase health risks. Treatments to reduce cessation-related weight gain have been tested in highly controlled trials of in-person treatment, but have never been tested in a real-world setting, which has inhibited dissemination.

Methods: The Best Quit Study (BQS) is a replication and "real world" translation using telephone delivery of a prior in-person efficacy trial.

Design: randomized control trial in a quitline setting. Eligible smokers (n = 2540) were randomized to the standard 5-call quitline intervention or quitline plus simultaneous or sequential weight management. Regression analyses tested effectiveness of treatments on self-reported smoking abstinence and weight change at 6 and 12 months.

Results: Study enrollees were from 10 commercial employer groups and three state quitlines. Participants were between ages 18-72, 65.8% female, 68.2% white; 23.0% Medicaid-insured, and 76.3% overweight/obese. The follow-up response rate was lower in the simultaneous group than the control group at 6 months (p = 0.01). While a completers analysis of 30-day point prevalence abstinence detected no differences among groups at 6 or 12 months, multiply imputed abstinence showed quit rate differences at 6 months for:simultaneous (40.3%) vs. sequential (48.3%), p = 0.034 and simultaneous vs. control (44.9%), p = 0.043. At 12 months, multiply imputed abstinence, was significantly lower for the simultaneous group (40.7%) vs. control (46.0%), p < 0.05 and vs. sequential (46.3%), p < 0.05. Weight gain at 6 and 12 months was minimal and not different among treatment groups. The sequential group completed fewer total calls (3.75) vs. control (4.16) and vs. simultaneous group (3.83), p = 0.01, and fewer weight calls (0.94) than simultaneous (2.33), p < 0.0001. The number of calls completed predicted 30-day abstinence, p < 0.001, but not weight outcomes.

Discussion: This study offers a model for evaluating population-level public health interventions conducted in partnership with tobacco quitlines.

Conclusions: Simultaneous (vs. sequential) delivery of phone/web weight management with cessation treatment in the quitline setting may adversely affect quit rate. Neither a simultaneous nor sequential approach to addressing weight produced any benefit on suppressing weight gain. This study highlights the need and the challenges of testing intensive interventions in real-world settings.

Trial registration: ClinicalTrials.gov Identifier: NCT01867983 . Registered: May 30, 2013.

Keywords: Quitlines; Smoking; Weight management.

Conflict of interest statement

Authors’ information

BS conducted the original efficacy trial upon which this study was based. BS has written extensively on the topic of post cessation weight gain, published a seminal review of the literature on combined smoking and weight treatments and also on behavioral weight management interventions.

JL was an investigator on the successful and highly influential Diabetes Prevention Program that established a lifestyle intervention was superior to medication in delaying or preventing onset of Type 2diabetes.

Ethics approval and consent to participate

The Western Institutional Review Board and the State of Maryland Institutional Review Board – in accordance with the United States legislation gave consent for the study. Participant consent was obtained verbally via the phone and documented by trained staff. The tobacco cessation and weight management programs are overseen by a clinical team at Alere Wellbeing. All study participants were 18 years of age or older. Alere is a HIPAA covered entity and complies with all HIPAA regulations regarding data security.

Competing interests

The authors at Alere Wellbeing declare that they are employed by Alere Wellbeing (a subsidiary of Optum) which provides tobacco cessation and weight management services to states and commercial clients. They have no other competing interests.

JL declares that she has no competing interests.

HJ declares that he has no competing interests.

BS declares that she has no competing interests.

MT declares that she has no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Best Quit Study CONSORT Diagram
Fig. 2
Fig. 2
Typical five-call quitline schedule (Tob) with the added weight (WT) or healthy living (HL) calls1. Registered Dietician (RD) delivered the 2nd weight call2. 1. Individuals can call into the quitline for additional help at any time. 2. In the simultaneous group, a coach delivered the tobacco content and then transferred the call to an RD for the weight content

References

    1. Finkelstein EA, Fiebelkorn IC, Wang G. National medical spending attributable to overweight and obesity: how much, and who's paying? Health Aff (Millwood). 2003; Suppl Web Exclusives:W3–219-226
    1. Freedman DM, Sigurdson AJ, Rajaraman P, Doody MM, Linet MS, Ron E. The mortality risk of smoking and obesity combined. Am J Prev Med. 2006;31:355–362. doi: 10.1016/j.amepre.2006.07.022.
    1. Klesges RC, Klesges LM, Meyers AW. Relationship of smoking status, energy balance, and body weight: analysis of the second National Health and nutrition examination survey. J Consult Clin Psychol. 1991;59:899–905. doi: 10.1037/0022-006X.59.6.899.
    1. Williamson DF, Madans J, Anda RF, Kleinman JC, Giovino GA, Byers T. Smoking cessation and severity of weight gain in a national cohort. N Engl J Med. 1991;324:739–745. doi: 10.1056/NEJM199103143241106.
    1. Lycett D, Munafo M, Johnstone E, Murphy M, Aveyard P. Associations between weight change over 8 years and baseline body mass index in a cohort of continuing and quitting smokers. Addiction. 2011;106:188–196. doi: 10.1111/j.1360-0443.2010.03136.x.
    1. Aveyard P, Lycett D, Farley A. Managing smoking cessationrelated weight gain. Pol Arch Med Wewn. 2012;122:494–498.
    1. Koster-Rasmussen R, Permin CA, Siersma V, Henriksen JE, Heitmann BL, Heldgaard PE, de Fine Olivarius N. Back on track-smoking cessation and weight changes over 9 years in a community-based cohort study. Prev Med. 2015;81:320–325. doi: 10.1016/j.ypmed.2015.09.025.
    1. Swan GE, Javitz HS, Jack LM, Curry SJ, McAfee T. Heterogeneity in 12-month outcome among female and male smokers. Addiction. 2004;99:237–250. doi: 10.1111/j.1360-0443.2003.00629.x.
    1. Perkins KA, Marcus MD, Levine MD, D'Amico D, Miller A, Broge M, Ashcom J, Shiffman S. Cognitive-behavioral therapy to reduce weight concerns improves smoking cessation outcome in weight-concerned women. J Consult Clin Psychol. 2001;69:604–613. doi: 10.1037/0022-006X.69.4.604.
    1. Bush T, Levine MD, Beebe LA, Cerutti B, Deprey M, McAfee T, Boeckman L, Zbikowski S. Addressing weight gain in smoking cessation treatment: a randomized controlled trial. Am J Health Promot. 2012;27:94–102. doi: 10.4278/ajhp.110603-QUAN-238.
    1. Spring B, Pagoto S, Pingitore R, Doran N, Schneider K, Hedeker D. Randomized controlled trial for behavioral smoking and weight control treatment: effect of concurrent versus sequential intervention. J Consult Clin Psychol. 2004;72:785–796. doi: 10.1037/0022-006X.72.5.785.
    1. Levine MD, Bush T, Magnusson B, Cheng Y, Chen X. Smoking-related weight concerns and obesity: differences among normal weight, overweight, and obese smokers using a telephone tobacco quitline. Nicotine Tob Res. 2013;15:1136–1140. doi: 10.1093/ntr/nts226.
    1. Bush T, Lovejoy J, Javitz H, Magnusson B, Torres AJ, Mahuna S, Benedict C, Wassum K, Spring B. Comparative effectiveness of adding weight control simultaneously or sequentially to smoking cessation quitlines: study protocol of a randomized controlled trial. BMC Public Health. 2016;16:615. doi: 10.1186/s12889-016-3231-6.
    1. Consortium NAQ: A Promising practices report. Quitlines and priority populations: An update on our progress to reach and serve those most impacted by tobacco's harm, 2016. Phoenix, Arizona; 2016.
    1. Nash CM, Vickerman KA, Kellogg ES, Zbikowski SM. Utilization of a web-based vs integrated phone/web cessation program among 140,000 tobacco users: an evaluation across 10 free state quitlines. J Med Internet Res. 2015;17:e36. doi: 10.2196/jmir.3658.
    1. A clinical practice guideline for treating tobacco use and dependence: 2008 update A U.S. Public Health Service report. Am J Prev Med. 2008;35:158–176. doi: 10.1016/j.amepre.2008.04.009.
    1. Bandura A. Human agency in social cognitive theory. Am Psychol. 1989;44:1175–1184. doi: 10.1037/0003-066X.44.9.1175.
    1. Marlatt GA: Relapse prevention: theoretical rationale and overview of the model.. GA Marlatt & JR 1985:410–452.
    1. Eakin EG, Lawler SP, Vandelanotte C, Owen N. Telephone interventions for physical activity and dietary behavior change: a systematic review. Am J Prev Med. 2007;32:419–434. doi: 10.1016/j.amepre.2007.01.004.
    1. King AC, Friedman R, Marcus B, Castro C, Napolitano M, Ahn D, Baker L. Ongoing physical activity advice by humans versus computers: the community health advice by telephone (CHAT) trial. Health Psychol. 2007;26:718–727. doi: 10.1037/0278-6133.26.6.718.
    1. Perri MG, Limacher MC, Durning PE, Janicke DM, Lutes LD, Bobroff LB, Dale MS, Daniels MJ, Radcliff TA, Martin AD. Extended-care programs for weight management in rural communities: the treatment of obesity in underserved rural settings (TOURS) randomized trial. Arch Intern Med. 2008;168:2347–2354. doi: 10.1001/archinte.168.21.2347.
    1. Sallit J, Ciccazzo M, Dixon Z. A cognitive-behavioral weight control program improves eating and smoking behaviors in weight-concerned female smokers. J Am Diet Assoc. 2009;109:1398–1405. doi: 10.1016/j.jada.2009.05.009.
    1. Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, Bray GA, Vogt TM, Cutler JA, Windhauser MM, et al. A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med. 1997;336:1117–1124. doi: 10.1056/NEJM199704173361601.
    1. Physical Activity Guidelines for Americans. (Services USDoHaH ed.; 2008). U.S. Department of Health and Human Services. (2008). Physical Activity Guidelines for Americans. .
    1. Campbell HS, Ossip-Klein D, Bailey L, Saul J. Minimal dataset for quitlines: a best practice. Tob Control. 2007;16(Suppl 1):i16–i20. doi: 10.1136/tc.2007.019976.
    1. About Adult BMI. Centers for Disease Control and Prevention. .
    1. Kroenke K, Spitzer RL, Williams JB, Monahan PO, Lowe B. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann Intern Med. 2007;146:317–325. doi: 10.7326/0003-4819-146-5-200703060-00004.
    1. West R, Eden Evins A, Benowitz NL, Russ C, McRae T, Lawrence D, Aubin LS, Krishen A, Maravic MC, Anthenelli RM. Factors associated with the efficacy of smoking cessation treatments and predictors of smoking abstinence in EAGLES. Addiction. 2018. 10.1111/add.14208. Epub ahead of print.
    1. Bush T, Lovejoy J, Javitz H, Mahuna S, Torres AJ, Wassum K, S B. Implementation, recruitment and baseline characteristics: a randomized trial of combined treatments for smoking cessation and weight control. Contemp Clin Trials Commun. 2017;7:95–102. doi: 10.1016/j.conctc.2017.06.003.
    1. Farley AC, Hajek P, Lycett D, Aveyard P. Interventions for preventing weight gain after smoking cessation. Cochrane Database Syst Rev. 2012;1:Cd006219.
    1. Vickerman KA, Zhang L, Malarcher A, Mowery P, Nash C. Cessation outcomes among Quitline callers in three states during a National Tobacco Education Campaign. Prev Chronic Dis. 2015;12:E110. doi: 10.5888/pcd12.150024.
    1. Bush TM, Levine MD, Magnusson B, Cheng Y, Chen X, Mahoney L, Miles L, Zbikowski SM. Impact of baseline weight on smoking cessation and weight gain in quitlines. Ann Behav Med. 2014;47:208–217. doi: 10.1007/s12160-013-9537-z.
    1. Johnson KC, Thomas F, Richey P, Tran QT, Tylavsky F, Miro D, Coday M. The primary results of the treating adult smokers at risk for weight gain with interactive technology (TARGIT) study. Obesity (Silver Spring) 2017;25:1691–1698. doi: 10.1002/oby.21968.
    1. Jain P, Danaei G, Robins JM, Manson JE, Hernan MA. Smoking cessation and long-term weight gain in the Framingham heart study: an application of the parametric g-formula for a continuous outcome. Eur J Epidemiol. 2016;31:1223–1229. doi: 10.1007/s10654-016-0200-4.
    1. Aubin HJ, Farley A, Lycett D, Lahmek P, Aveyard P. Weight gain in smokers after quitting cigarettes: meta-analysis. BMJ. 2012;345:e4439. doi: 10.1136/bmj.e4439.
    1. Bernstein SL, Weiss JM, Toll B, Zbikowski SM. Association between utilization of Quitline services and probability of tobacco abstinence in low-income smokers. J Subst Abus Treat. 2016;71:58–62. doi: 10.1016/j.jsat.2016.08.014.
    1. Lien RK, Schillo BA, Goto CJ, Porter L. The effect of survey nonresponse on Quitline abstinence rates: implications for practice. Nicotine Tob Res. 2016;18:98–101.
    1. Glasgow RE, Mullooly JP, Vogt TM, Stevens VJ, Lichtenstein E, Hollis JF, Lando HA, Severson HH, Pearson KA, Vogt MR. Biochemical validation of smoking status: pros, cons, and data from four low-intensity intervention trials. Addict Behav. 1993;18:511–527. doi: 10.1016/0306-4603(93)90068-K.
    1. SRNT Subcommittee on Biochemical Verification; Benowitz NL, Jacob P III, Ahijevych K, Jarvis MJ, Hall S, LeHouezec J, Hansson A, Lichtenstein E, Henningfield J, Tsoh J, Hurt RD, Velicer W. Biochemical verification of tobacco use and cessation. Nicotine Tob Res. 2002;4(2):149-59.
    1. Jerome GJ, Dalcin A, Coughlin JW, Fitzpatrick S, Wang NY, Durkin N, Yeh HC, Charleston J, Pozefsky T, Daumit GL, et al. Longitudinal accuracy of web-based self-reported weights: results from the Hopkins POWER trial. J Med Internet Res. 2014;16:e173. doi: 10.2196/jmir.3332.

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