Effects of delay discounting and other predictors on smoking relapse

  1. Alba González-Roz 1
  2. Roberto Secades-Villa 1
  3. Irene Pericot-Valverde 2
  4. Sara Weidberg 1
  5. Fernando Alonso-Pérez 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  2. 2 Clemson University
    info

    Clemson University

    Clemson, Estados Unidos

    ROR https://ror.org/037s24f05

Revista:
The Spanish Journal of Psychology

ISSN: 1138-7416

Año de publicación: 2019

Número: 22

Páginas: 1-7

Tipo: Artículo

DOI: 10.1017/SJP.2019.11 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: The Spanish Journal of Psychology

Objetivos de desarrollo sostenible

Resumen

Despite the substantial decrease in the prevalence of tobacco smoking and the availability of effective smoking cessation treatments, smoking relapse after formal treatments remains extremely high. Evidence regarding clinical predictors of relapse after quitting is essential to promote long-term abstinence among those who successfully quit. This study aimed to explore whether baseline delay discounting (DD) rates and other sociodemographic, psychological, and smoking-related variables predicted relapse to smoking at six-month follow-up. Participants were 188 adult smokers (mean age = 42.9, SD = 12.9; 64.4% females) who received one of three treatment conditions: 6-weeks of cognitive–behavioral treatment (CBT) alone; or combined with contingency management (CBT + CM); or combined with cue exposure treatment (CBT+CET). Smoking status was biochemically verified. Logistic regression was conducted to examine prospective predictors of smoking relapse at six months after an initial period of abstinence. Greater DD rates (OR: 0.18; 95% CI [0.03, 0.93]), being younger (OR: 0.96; 95% CI [0.94, 0.99]), high nicotine dependence (OR: 1.34; 95% CI [1.13, 1.60]), and a higher number of previous quit attempts (OR: 4.47; 95% CI [1.14, 17.44]) increased the likelihood of smoking relapse at six-month follow-up. Besides sociodemographic and smoking-related characteristics, greater DD predisposes successful quitters to relapse back to smoking. These results stress the relevance of incorporating specific treatment components for reducing impulsivity.

Referencias bibliográficas

  • Aguirre C. G., Madrid J., & Leventhal A. M. (2015). Tobacco withdrawal symptoms mediate motivation to reinstate smoking during abstinence. Journal of Abnormal Psychology, 124(3), 623–634. https://doi.org/10.1037/abn0000060
  • Alonso Fernández M., Franco Vidal A., López Sampedro P., & García Lavandera J. G. (2002). Middle-term effectiveness of a support program for smokers implemented in primary care. Atención Primaria, 30(9), 541–546. https://doi. org/10.1016/S0212-6567(02)79102-6
  • Arce E., & Santisteban C. (2006). Impulsivity: A review. Psicothema, 18(2), 213–220.
  • Beck A. T., Steer R. A., & Brown G. (1996). Beck Depression Inventory II manual. San Antonio, TX: The Psychological Corporation.
  • Becoña E., Fernández del Río E., López-Durán A., Martínez-Pradeda U., Martínez-Vispo C., & Rodríguez Cano R. A. (2014). El tratamiento psicológico de la dependencia del tabaco. Eficacia, barreras y retos para el futuro. Papeles del Psicólogo, 35(3), 161–168.
  • Becoña E., & Míguez M. C. (2008). Group behavior therapy for smoking cessation. Journal of Groups in Addiction & Recovery, 3(1–2), 63–78. https://doi. org/10.1080/15560350802157528
  • Becoña E., Nogueiras L., Flórez G., Álvarez S., & Vázquez D. (2010). Psychometric properties of the nicotine dependence syndrome scale (NDSS) in a sample of smokers treated for their alcohol dependence. Adicciones, 22(1), 37–49.
  • Bohadana A., Nilsson F., Rasmussen T., & Martinet Y. (2003). Gender differences in quit rates following smoking cessation with combination nicotine therapy: Influence of baseline smoking behavior. Nicotine & Tobacco Research, 5(1), 111–116. https://doi.org/10.1080/1462220021000060482
  • Borrelli B., Spring B., Niaura R., Hitsman B., & Papandonatos G. (2001). Influences of gender and weight gain on short-term relapse to smoking in a cessation trial. Journal of Consulting and Clinical Psychology, 69(3), 511–515. https://doi.org/10.1037//0022-006X.69.3.511
  • Caponnetto P., & Polosa R. (2008). Common predictors of smoking cessation in clinical practice. Respiratory Medicine, 102(8), 1182–1192. https://doi.org/10.1016/j.rmed.2008.02.017
  • Cloninger C. R., Svrakic D. M., & Przybeck T. R. (1993). A psychobiological model of temperament and character. Archives of General Psychiatry, 50(12), 975–990. https:// doi.org/10.1001/archpsyc.1993.01820240059008
  • Cropsey K. L., Trent L. R., Clark C. B., Stevens E. N., Lahti A. C., & Hendricks P. S. (2014). How low should you go? Determining the optimal cutoff for exhaled carbon monoxide to confirm smoking abstinence when using cotinine as reference. Nicotine & Tobacco Research, 16(10), 1348–1355. https://doi.org/10.1093/ntr/ntu085
  • Dallery J., & Raiff B. R. (2007). Delay discounting predicts cigarette smoking in a laboratory model of abstinence reinforcement. Psychopharmacology, 190(4), 485–496. https://doi.org/10.1007/s00213-006-0627-5
  • Doran N., Cook J., McChargue D., & Spring B. (2009). Impulsivity and cigarette craving: Differences across subtypes. Psychopharmacology, 207(3), 365–373. https:// doi.org/10.1007/s00213-009-1661-x
  • Doran N., McChargue D. E., & Cohen L. (2007). Impulsivity and the reinforcing value of cigarette smoking. Addictive Behaviors, 32(1), 90–98. https://doi. org/10.1016/j.addbeh.2006.03.023
  • Doran N., Spring B., McChargue D., Pergadia M., & Richmond M. (2004). Impulsivity and smoking relapse. Nicotine & Tobacco Research, 6(4), 641–647. https://doi.org/ 10.1080/14622200410001727939
  • García-Rodríguez O., Secades-Villa R., Flórez-Salamanca L., Okuda M., Liu S.-M., & Blanco C. (2013). Probability and predictors of relapse to smoking: results of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Drug and Alcohol Dependence, 132(3), 479–485. https://doi.org/10.1016/j.drugalcdep.2013.03.008
  • Gökbayrak N. S., Paiva A. L., Blissmer B. J., & Prochaska J. O. (2015). Predictors of relapse among smokers: Transtheoretical effort variables, demographics, and smoking. Addictive Behaviors, 42, 176–179. https://doi. org/10.1016/j.addbeh.2014.11.022
  • Gwaltney C. J., Metrik J., Kahler C. W., & Shiffman S. (2009). Self-efficacy and smoking cessation: A meta-analysis. Psychology of Addictive Behaviors, 23(1), 56–66. https://doi. org/10.1037/a0013529
  • Heatherton T. F., Kozlowski L. T., Frecker R. C., & Fagerström K. O. (1991). The Fagerström Test for Nicotine Dependence: A revision of the Fagerström Tolerance Questionnaire. British Journal of Addictions, 85, 1119–1127
  • Herd N., Borland R., & Hylandc A. (2009). Predictors of smoking relapse by duration of abstinence: Findings from the International Tobacco Control (ITC) Four Country Survey. Addiction, 104(12), 2088–2099. https://doi. org/10.1111/j.1360-0443.2009.02732.x
  • Hoving E. F., Mudde A. N., & de Vries H. (2006). Predictors of smoking relapse in a sample of Dutch adult smokers; the roles of gender and action plans. Addictive Behaviors, 31(7), 1177–1189. https://doi. org/10.1016/j.addbeh.2005.09.002
  • Knezevic B. (2013). Modeling the multidimensional nature of impulsivity and its relation to function outcomes (Published doctoral dissertation) University of Windsor, Ontario, Canada. Retrieved from https://scholar.uwindsor.ca/cgi/ viewcontent.cgi?article=5947&context=etd
  • MacKillop J., & Kahler C. W. (2009). Delayed reward discounting predicts treatment response for heavy drinkers receiving smoking cessation treatment. Drug and Alcohol Dependence, 104(3), 197–203. https://doi. org/10.1016/j.drugalcdep.2009.04.020
  • Marqueta A., Nerin I., Jiménez-Muro A., Gargallo P., & Beamonte A. (2013). Factores predictores de éxito según género en el tratamiento del tabaquismo. [Predictors of outcome of a smoking cessation treatment by gender]. Gaceta Sanitaria, 27(1), 26–31. https://doi.org/10.1016/j. gaceta.2011.12.011
  • Martínez U., Fernández del Río E., López-Durán A., Rodríguez-Cano R., Martínez-Vispo C., & Becoña E. (2016). La recaída en fumadores que dejan de fumar con un tratamiento psicológico: ¿Una cuestión de sexo? [Relapse in smokers who quit with a psychological treatment: a gender issue?] Acción Psicológica, 13(1), 7–20. https://doi.org/10.5944/ap.13.1.16722
  • McDaniel A. M., Vickerman K. A., Stump T. E., Monahan P. O., Fellows J. L., Weaver M. T., ... Zbikowski S. M. (2015). A randomised controlled trial to prevent smoking relapse among recently quit smokers enrolled in employer and health plan sponsored quitlines. BMJ Open, 5(6), e007260. https://doi.org/10.1136/bmjopen-2014-007260
  • Morissette S. B., Tull M. T., Gulliver S. B., Kamholz B. W., & Zimering R. T. (2007). Anxiety, anxiety disorders, tobacco use, and nicotine: A critical review of interrelationships. Psychological Bulletin, 133(2), 245–272. https://doi. org/10.1037/0033-2909.133.2.245
  • Nakajima M., & al´Absi M. (2012). Predictors of risk for smoking relapse in men and women: A prospective examination. Psychology of Addictive Behaviors, 26(3), 633–637. https://doi.org/10.1037/a0027280
  • Odum A. L. (2011). Delay discounting: I’m a k, You’re a k. Journal of the Experimental Analysis of Behavior, 96(3), 427–439. https://doi.org/10.1901/jeab.2011.96-423
  • Perea-Baena J. M., & Oña-Compan S. (2011). Impulsividad como predictor de recaída en el abandono de tabaco. [Impulsity as a predictor of smoking relapse]. Anales de Psicología, 27(1), 1–6.
  • Pericot-Valverde I., García-Rodríguez O., Ferrer-García M., Secades-Villa R., & Gutiérrez-Maldonado J. (2012). Virtual reality for smoking cessation: A case report. In B. K. Wiederhold & G. Riva (Eds.) Annual review of cybertherapy and telemedicine 2012. Studies in health technology and Informatics (Vol. 181, pp. 292–296). Amsterdam, The Netherlands: IOS Press BV.
  • Piñeiro B., & Becoña E. (2013). Relapse situations according to Marlatt´s taxonomy in smokers. The Spanish Journal of Psychology, 16, E91. https://doi.org/10.1017/sjp.2013.91
  • Piñeiro B., López-Durán A., Fernández del Río E., Martínez U., Brandon T. H., & Becoña E. (2016). Motivation to quit as a predictor of smoking cessation and abstinence maintenance among treated Spanish smokers. Addictive Behaviors, 53, 40–45. https://doi. org/10.1016/j.addbeh.2015.09.017
  • Plan Nacional sobre Drogas (2017). Encuesta nacional sobre alcohol y otras drogas en España (EDADES) 2015–2016 [National survey on alcohol and drugs in Spain (EDADES) 2015–2016]. Retrieved from http://www.pnsd.msssi.gob.es/ profesionales/sistemasInformacion/sistemaInformacion/ encuestas_EDADES.htm
  • Secades-Villa R., García-Rodríguez O., López-Núñez C., Alonso-Pérez F., & Fernández-Hermida J. R. (2014). Contingency management for smoking cessation among treatment-seeking patients in a community setting. Drug and Alcohol Dependence, 140, 63–68. https://doi. org/10.1016/j.drugalcdep.2014.03.030
  • Sheffer C. E., Christensen D. R., Landes R., Carter L. P., Jackson L., & Bickel W. K. (2014). Delay discounting rates: A strong prognostic indicator of smoking relapse. Addictive Behaviors, 39(11), 1682–1689. https://doi.org/10.1016/j. addbeh.2014.04.019
  • Sheffer C., MacKillop J., McGeary J., Landes R., Carter L., Yi R., ... Bickel W. (2012). Delay discounting, locus of control, and cognitive impulsiveness independently predict tobacco dependence treatment outcomes in a highly dependent, lower socioeconomic group of smokers. The American Journal on Addictions, 21(3), 221–232. https:// doi.org/10.1111/j.1521-0391.2012.00224.x
  • Siahpush M., & Carlin J. B. (2006). Financial stress, smoking cessation and relapse: Results from a prospective study of an Australian national sample. Addiction, 101(1), 121–127. https://doi.org/10.1111/j.1360-0443.2005.01292.x
  • Slopen N., Kontos E. Z., Ryff C. D., Ayanian J. Z., Albert M. A., & Williams D. R. (2013). Psychosocial stress and cigarette smoking persistence, cessation, and relapse over 9–10 years: A prospective study of middle-aged adults in the United States. Cancer Causes & Control, 24(10), 1849–1863. https://doi.org/10.1007/ s10552-013-0262-5
  • Stein J. S., Tegge A. N., Turner J. K., & Bickel W. K. (2018). Episodic future thinking reduces delay discounting and cigarette demand: An investigation of the good-subject effect. Journal of Behavioral Medicine, 41(2), 269–276. https://doi.org/10.1007/s10865-017-9908-1
  • Spielberger C. D., Gorsuch R., & Lushene R. (1970). Manual for the StateTrait Anxiety Inventory. Palo Alto, CA: Consulting Psychologist Press.
  • Veldheer S., Hrabovsky S., Yingst J., Sciamanna C., Berg A., & Foulds J. (2018). The use of self-directed relapse prevention booklets to assist in maintaining abstinence after a 6-week group smoking cessation treatment program: A randomized controlled trial. Health Education & Behavior, 45(2), 190–197. https://doi. org/10.1177/1090198117710979
  • Wilhelm K., Wedgwood L., Niven H., & Lambkin-Kay F. (2006). Smoking cessation and depression: Current knowledge and future directions. Drug and Alcohol Review, 25(1), 97–107. https://doi.org/10.1080/09595230500459560
  • World Health Organization (2011). Who report on the global tobacco epidemic. Retrieved from World Health Organization website http://apps.who.int/iris/bitstream/10665/44616/ 1/9789240687813_eng.pdf
  • Yoon J. H., Higgins S. T., Heil S. H., Sugarbaker R. J., Thomas C. S., & Badger G. J. (2007). Delay discounting predicts postpartum relapse to cigarette smoking among pregnant women. Experimental and Clinical Psychopharmacology, 15(2), 176–186. https://doi. org/10.1037/1064-1297.15.2.186
  • Zhou X., Nonnemaker J., Sherrill B., Gilsenan A. W., Coste F., & West R. (2009). Attempts to quit smoking and relapse: Factors associated with success or failure from the ATTEMPT cohort study. Addictive Behaviors, 34(4), 365–373. https://doi.org/10.1016/j.addbeh. 2008.11.013