Pilot randomized trial on mindfulness training for smokers in young adult binge drinkers
© Davis et al.; licensee BioMed Central Ltd. 2013
Received: 14 August 2012
Accepted: 30 August 2013
Published: 3 September 2013
We report results of a pilot study designed to test a novel smoking cessation intervention, Mindfulness Training for Smokers (MTS), in smokers age 18-29 years with regular episodes of binge drinking. Mindfulness is a cognitive skill of applying close moment-to-moment attention to experience with a mental posture of acceptance and non-reactivity. The MTS intervention consisted of six weekly classes that provided instruction on how to use mindfulness to manage known precursors of smoking relapse including smoking triggers, strong emotions, stressful situations, addictive thoughts, urges, and withdrawal symptoms.
The MTS intervention was compared to Interactive Learning for Smokers (ILS), a time/intensity matched control group using daily non-directed walking instead of mindfulness meditation. Recruitment was conducted primarily at local technical colleges. Primary outcome measures included biochemically-confirmed smoking abstinence and reduction in alcohol use at the end of treatment (2-weeks post-quit attempt).
The sample (N = 55) was 70.9% male, with a mean age of 21.9 years, and a mean of 11.76 alcoholic drinks consumed per week. Intent-to-treat analysis showed biochemically-confirmed 7-day point prevalence abstinence rates at 2-weeks post-quit for MTS = 20.0% and ILS = 4.0%, p = .08. Secondary analysis showed number of drinks per week in the first 2-weeks post-quit correlated with smoking relapse at 2-weeks post-quit (p < .01).
This pilot study demonstrated that Mindfulness Training for Smokers shows promise for smoking cessation and alcohol use reduction in treating young adult smokers with alcohol abuse. Results suggest the need for a study with larger sample size and methods that reduce attrition.
KeywordsSmoking Tobacco Alcohol Mindfulness Young adult
Smoking is the leading preventable cause of morbidity and mortality in the United States, causing 443,000 deaths and national costs of $96 billion each year , with 23.1% of men and 18.1% of women self-identified as cigarette smokers . Smoking rates are highest in young adults, with a 2010 survey showing that 35.8% of 21–25 year old US adults smoked at least once in the past 30 days . Young adults are uniquely susceptible to social and peer group influences leading to substance use and smoking . The majority of smokers (88%) begin smoking before the age of 18, and 99% of smokers begin smoking before the age of 26 . Tobacco companies take advantage of the experimental processes inherent in young adult development by targeting young people through advertising [6–8]. Many of the chronic diseases associated with smoking are more common among those who start smoking early in life [9–11], and smoking cessation early in life provides the greatest benefit in terms of reduced morbidity and mortality . There has been a considerable effort toward reduction of tobacco use through development of smoking cessation medications , behavioral interventions , passage of public smoking bans , mass media campaigns , and government smoking bans [17, 18]. Unfortunately, there has been little progress in the development of interventions targeted to young adult smokers [19, 20]. Over the last 50 years, there have been only a small number of studies published on smoking interventions targeted to young adults . These include a 1972 study in which male undergraduate smokers were exposed to 24 hours of sensory deprivation as a smoking cessation therapy , a 1988 study that compared a brief counseling intervention vs. no intervention , a 1990 study that evaluated a behavioral therapy in undergraduate smokers , and a 2007 study that applied a brief office intervention vs. the same plus expressive writing in young adult smokers . Currently, the majority of young adult smokers attempt smoking cessation without the help of medications or a smoking cessation program  and achieve long-term abstinence rates of less than five percent . A barrier to development of interventions targeting young adult smokers is that this population is known to have high attrition in study protocols and poor adherence to behavioral therapies [28, 29]. The prospect of poor study outcomes with this population may lead researchers to study treatments in more compliant adult populations.
Young adult smokers face unique challenges in achieving smoking abstinence and accordingly, smoking cessation programs designed for young smokers must develop unique strategies to overcome those challenges. One of the most widely described challenges to young adult smokers is the high prevalence of binge drinking and the difficulties of maintaining abstinence during binge drinking [3, 30–34]. Binge drinking has been defined as consuming four or more alcoholic drinks on one or more occasion for women and five or more drinks on one or more occasion for men . The National Survey on Drug Use and Health (NSDUH) found that 40.6% of young adults, ages 18–25 years, had at least one binge drinking episode in the past 30 days . Alcohol consumption has been shown to increase the intensity of smoking urges [36, 37] and predict subsequent smoking urges [38, 39]. One study showed that subjects who engaged in binge drinking were more likely to have smoking relapse within the first year and to smoke more cigarettes after relapse occurred . Another study showed that the probability of smoking relapse on heavy drinking days was significantly higher than smoking on moderate drinking or abstinent days . There is now a growing body of evidence to suggest that simultaneous treatment of smoking and alcohol abuse leads to higher rates of abstinence in both [42–45], and there is growing interest in providing treatment for alcohol and tobacco use concurrently [46, 47]. Nonetheless, a recent literature review using PubMed and PsycINFO revealed only one published study on the treatment of smoking cessation and binge drinking in young adults. In this study 41 smoking binge drinkers age 18–30 years were randomized to receive either medications and semi-structured smoking cessation counseling, or the same but with a brief alcohol intervention. This study showed promising effect sizes between groups favoring the dual treatment arm, but was not powered to reach statistical significance . Cognitive-behavioral therapies (CBT) and acceptance and commitment therapies (ACT) have shown success in the treatment of alcohol abuse [47, 48] and smoking . Recent studies suggest that mindfulness training, which has similarities with ACT, also shows promise for alcohol abuse and smoking [50–53]. Research on Mindfulness Based Relapse Prevention (MBRP) has demonstrated preliminary evidence for efficacy in the treatment of alcohol dependence [54, 55]. A pilot study on mindfulness training in smokers found a 56% rate of abstinence at 6-weeks post-quit  and a trial comparing a mindfulness-training program to an active control found that mindfulness training yielded significantly higher smoking abstinence at 17-weeks post-quit .
The current study was designed to test a mindfulness intervention, “Mindfulness Training for Smokers” (MTS), that was developed as a treatment for smoking cessation. The goal in this study was to teach mindfulness skills targeted to smoking addiction and then see if the mindfulness skills obtained might generalize to decrease alcohol use. The study employed NIH-endorsed research methods for a stage-1 behavioral therapy program development  with identified outcomes of exploring treatment acceptability and adherence and establishing initial efficacy estimates necessary to guide future research. MTS was designed to be intensive enough to activate core mindfulness insights of a Mindfulness Based Stress Reduction (MBSR)-style course , but also include training on how to use mindfulness to more skillfully manage relapse challenges related to smoking triggers, social situations, strong emotions, stressful situations, relapse-related thoughts, urges and withdrawal symptoms. A similar name “Mindfulness Training for Smoking Cessation” has been used to describe another recently published smoking cessation intervention with different structure developed by Brewer . The two interventions were developed concurrently, and because materials were already in use at the time of Brewer’s publication, we continued to describe this program, as “Mindfulness Training for Smokers.” Early assessment of participant population (students from small towns around the state) revealed that they would be unable to attend long-term follow up visits. For this reason, the study assessed outcomes only at the end-of-treatment, i.e., two weeks after the quit day. Primary outcomes were defined as smoking abstinence confirmed via carbon monoxide (CO) breath testing with daily smoking assessed via timeline followback (TLFB)  at two weeks post-quit.
Tobacco and alcohol use. Two metrics were used to assess post-quit day smoking behavior: a self-report testing via “timeline followback” (TLFB) calendar [60–62], and biomedical testing via carbon monoxide (CO) breath testing. Participants were asked to log cigarette consumption via TLFB each day throughout the intervention until 2 weeks after the quit day. For CO breath testing, the study utilized the Micro + ™ Smokerlyzer® and employed a more stringent CO cutoff of 7 ppm (instead of 10 ppm) to reduce the chance of false positives for a coding of abstinent . Failure to provide self-report of no cigarette consumption during the seven days prior to the post-quit assessment visit, or to provide a CO reading of under 7.0 ppm on the breath test, or to attend an assessment visit all resulted in coding as “relapsed”. A contemporary measure “number of days smoked in the first two weeks post-quit” has been shown to correlate well with 6-month smoking cessation outcomes , and was used to provide a continuous measure of smoking abstinence. Daily alcohol use was also assessed using TLFB, wherein participants recorded the number of alcoholic drinks that they consumed each day throughout the intervention until two weeks after the quit day. Biochemical confirmation was not used to assess alcohol consumption.
Demographics and substance use. A non-validated baseline questionnaire was provided to participants to assess demographic characteristics and substance use history. In addition to demographic information, this questionnaire included questions such as “How many years have you smoked cigarettes?” and “In the last seven days, how many days did you drink alcohol?”
Intervention completion. Completion of either intervention was defined via attendance record as attendance at the Quit Day Retreat. This criterion was used because it provided confirmation that a quit attempt was made and because it reflected overall class attendance. For example, all participants who attended four or more classes also attended the Quit Day Retreat, and all who attended one or fewer classes did not attend the Quit Day Retreat”
Practice compliance. Compliance with daily meditation practice was assessed via telephone calls made to participants, during which they were asked how many minutes they had practiced meditation in the past 24 hours. Calls were made once a day for 5 days prior to the beginning of treatment and once a day for 5 days after the quit day. “Minutes meditated” was averaged across the five calls in each time period, yielding an average number of minutes meditated per day.
Nicotine dependence. The Fagerstrom Test for Nicotine Dependence (FTND)  was administered at baseline to assess nicotine dependence. The FTND is a widely used six-item measure designed to determine the extent to which an individual has developed dependence on nicotine. The measure possesses fair internal consistency (α = .61) and correlates well with biological indices of heaviness of smoking . Example questions include “How soon after you wake up do you smoke your first cigarette?” and “How many cigarettes do you smoke per day?”
Smoking motives. Motivation for smoking was assessed via the Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) completed at baseline . The Brief WISDM is a 37-item subset of the original 68-item WISDM questionnaire, loads onto 11 motivational subscales, and has acceptable internal consistency (α = .69). The instrument provides items such as, “Smoking really helps me feel better if I’ve been feeling down,” and uses a 7-point Likert scale ranging from 1 = “not at all true of me” to 7 = “extremely true of me” .
Mindfulness. To assess mindfulness, the Frieburg Mindfulness Inventory (FMI)  was administered at the baseline and post-quit assessment visits to assess the potential acquisition of mindfulness skills as a result of the mindfulness or control intervention. Example items include “I pay attention to what’s behind my actions” and “I am open to the experience of the present moment,” and use a 4-point Likert scale with 1 = “rarely” and 4 = “almost always” as possible responses. The shorter 14-item FMI was used and has demonstrated acceptable internal consistency (α = .86) .
Distress tolerance. The Distress Tolerance Scale (DTS) was administered at baseline and two-week post-quit assessment visit to assess how participants tolerated, appraised, absorbed and regulated their distress . The DTS is a 14-item questionnaire, with acceptable internal consistency (α = .89), includes items such as “I can’t handle feeling distressed or upset,” with possible responses on a 5 point Likert scale ranging from 1 = “strongly agree” to 5 = “strongly disagree” .
Stress. The Perceived Stress Scale-10 (PSS) was provided to participants at baseline and at the two-week post-quit assessment visit . The PSS is designed to assess affective reactions to stressors; it is a 10-item questionnaire, and demonstrates acceptable internal consistency (α = .76). The PSS provides questions such as “In the last month, how often have you felt that you were unable to control the important things in your life?” and allows for responses on a 5-point Likert scale with 0 = “never” and 4 = “very often” .
Course Acceptability: A non-validated course evaluation was administered at the 2-week post-quit assessment visit. The instrument included questions for the purpose of assessing use of materials, adherence to practices, and accessibility of various instructions. An example item was “Meditation/Walking has helped me manage cravings” and provided a 7-point Likert scale response from 1 = “completely disagree” to 7 = “completely agree”. The instrument also included four written-answer questions to obtain more open-ended feedback on what was most or least helpful in the interventions.
MTS and ILS participant activities
Mindfulness Meditation, Body Scan
Stages of Change, Motivation to Quit
Mindfulness and Emotions
Physical + Psychological Addiction, Your Addiction
Mindfulness and Smoking Triggers
Smoking and the Body, Managing Triggers
Mindfulness for Urges
Preparing to Quit–Strategies for Urges
Quit Day–Mindfulness Practices
Quit Day–Non–Directed Walking
Mindfulness and Withdrawal
Long Term Meditation Practice
2-week post-quit assessment visit
2-week post-quit assessment visit
The Interactive Learning for Smokers (ILS) intervention combined elements of the American Lung Association’s Freedom from Smoking program  and The Mayo Clinic’s Nicotine Dependence Center program  and was constructed to help participants develop individualized smoking cessation strategies to manage relapse challenges related to smoking triggers, social situations, strong emotions, stressful situations, relapse-related thoughts, urges and withdrawal symptoms–areas also targeted in MTS. ILS participants were asked to practice thirty minutes of silent non-directed walking per day throughout the intervention, and to further match MTS, were instructed to use non-directed walking for relaxation, stress reduction and as a strategy for managing urges and withdrawal symptoms.
Management of missing data followed recommended methods . Assessment of the primary abstinence and alcohol outcome variables included intent-to-treat analysis as well as analysis of intervention completers. For intent-to-treat analyses, failure to attend the assessment visits resulted in coding the participant as relapsed with return to pre-intervention alcohol use or tobacco use (i.e., missing = smoking). Independent groups t-tests and chi-square tests were conducted to compare baseline characteristics between groups. Logistic regression was used to evaluate the treatment group effect on abstinence and to compute odds ratios (OR) estimates and confidence intervals. ANOVAs were used to evaluate repeated measures (continuous variables) over time. Pearson correlations were computed to identify associations between secondary outcome measures and continuous smoking outcomes. Analyses were performed using SPSS, Version XX.
Participant baseline characteristics
Number of cigarettes/day
Number of drinks per week**
Odds Ratio (CI)
Intent-to-Treat (n = 55) 2-week point prevalence abstinence
Completers (n = 25) 2-week point prevalence abstinence
Intent-to-Treat (n = 55) Days abstinent two-weeks post-quit
Completers (n = 25) Days abstinent two-weeks post-quit
Completer post-quit analysis using independent t-test showed no significant differences between number of drinks per week in MTS (M = 10.70, SD = 11.94) and ILS (M = 15.25, SD = 8.08), t(23) = 1.05, p = .30. Completer analysis showed that ILS significantly increased drinks per week from pre-quit (M = 10.30, SD = 5.42) to post-quit (M = 15.25, SD = 8.08), t(9) = −2.60, p = .03, whereas MTS decreased drinks per week from pre-quit (M = 12.73, SD = 9.92) to post-quit (M = 10.70, SD = 11.94), although the difference was not significant, t(14) = .59, p = .56. There was not a significant interaction between treatment groups and drinks per week over time, F(1, 23) = 2.41, p = .14.
Analyses were conducted to determine whether post-quit alcohol consumption was correlated with smoking relapse. Findings showed that among intervention completers, participants who had maintained smoking absti nence at two-weeks post-quit (n = 7) reported significantly fewer days drinking alcohol (M = 2.43, SD = 1.90) than participants who were smoking relapsed (n = 18) (M = 4.72, SD = 2.67), t(23) = 2.06, p = .05. Total number of drinks per week post-quit showed a similar pattern, with smoking abstinent participants drinking only 5.0 (SD = 6.64) drinks per week vs. smoking relapsed participants showing 15.44 (SD = 10.56) drinks per week, t(23) = 2.42, p = 0.02). Number of drinks per week post-quit was significantly negatively correlated with smoking relapse, r(25) = −.38, p < .05.
Completer vs. non-completer baseline comparison
Attended follow-up (Completers)
Did not attend follow-up
Number of cigarettes/day
This pilot study was designed to investigate the potential usefulness of a mindfulness-based therapy in young adult smokers with binge alcohol use. This is of particular interest because of the high prevalence of alcohol use in this age group and the strong relationship between alcohol use and smoking relapse. The study was designed to compare a mindfulness-based intervention to a closely-matched active control. There was no therapy targeted to alcohol use provided to either group, and it was hoped that mindfulness training might have generalized effects on alcohol use. The population was primarily young males in their twenties who engaged in regular heavy binge drinking. Major findings from the study were the following: 1) Smoking abstinence: In our primary outcome, point prevalent smoking abstinence was higher in MTS than controls, but the difference was not significant. As a secondary outcome, MTS compared to ILS participants showed significantly greater number of days abstinent in the first two weeks. 2) Alcohol use: Controls significantly increased alcohol consumption over the course of their intervention whereas MTS participants decreased consumption, but not significantly. 3) Alcohol use and smoking relapse: Post-quit alcohol use was significantly associated with smoking relapse in every measure obtained; 4) Attrition: Attrition was high for both groups; and 5) Acceptability: Class attendance was reasonable for completers; minutes meditated and minutes walked were also reasonably high for completers.
Although this was a pilot study and was underpowered to provide statistically significant differences on many outcomes, the study still yielded some meaningful findings. It is noteworthy that ILS yielded such low smoking cessation rates (4%) although it was an intense intervention, with skilled instructors, group support, skills training, and cognitive behavioral strategies used in evidence-based programs. These low rates make a compelling case that the sample population is an intrinsically challenging group. The modestly higher smoking cessation rates for the MTS intervention (10%) are only noteworthy within the context of understanding the challenges of treating this population. It was further encouraging that number of days smoked in the first two weeks was in fact significantly less for MTS than ILS. The fact that mindfulness training made any difference at all in these densely-layered intensive interventions  is surprising, and suggests the possibility that mindfulness training may have had an independent therapeutic effect on smoking.
Alcohol outcomes need to be understood in the context of the fact that this population was young, mostly male, drank heavily, and that neither intervention provided alcohol-specific treatment. The hope was that skills learned from MTS might have generalized to reduce alcohol use. Surprisingly, this study showed that controls significantly increased their alcohol use after the quit day, whereas MTS participants showed a decrease that was non-significant. A possible explanation of this data is that smoking cessation is stressful and might lead to a greater tendency to drink (as seen in ILS), and that mindfulness training attenuated this tendency to drink more post-quit. The findings of this pilot study were not powered sufficiently to demonstrate that mindfulness is an effective simultaneous treatment of comorbid alcohol and tobacco abuse. Given, however, the growing support for simultaneous treatment of both alcohol and tobacco [42–44, 46, 74, 75], and the fact there are already mindfulness-based therapies for the treatment of alcohol [54, 55] and tobacco [57, 73], the findings suggest that there may be promise for larger studies on mindfulness training for both alcohol and tobacco use.
An expected finding in this study was the association between alcohol use and smoking relapse. Participants who were smoking abstinent compared to relapsed drank significantly fewer days post-quit and showed a significant correlation between abstinence and alcohol use. This is consistent with studies on older populations that show that binge drinking  and moderate drinking  are correlated with smoking relapse. The finding of a significant correlation in a study with small sample size suggests that the strong relationship between alcohol use and smoking relapse also exists in the young adult population. Findings suggest that it might be beneficial for investigators to further study the relationship of alcohol and tobacco in the young adult population.
Participants who completed the intervention provided relatively positive comments about both MTS and ILS. Among course evaluations, both groups cited group support and instructor support as most important, and each group mentioned meditation (or non-directed walking) as helpful to them. Written reports about the experience of meditation were very positive and suggested that these individuals, though young and prone to high-risk behavior, were also capable of quiet reflection. The use of the manuals was disappointing in both groups, with most participants reading only small portions. When asked why they did not read the manuals, the most common answer was that participants did not normally engage in voluntary reading. This suggests that intervention information might be better provided in another form such as video.
A major limitation in this study was high attrition in every phase–recruitment, retention and follow-up. High attrition rates were first noted during recruitment when only 34% of callers scheduled for an orientation actually attended an orientation. This suggests that this population had high non-compliance before initiation of any intervention. Intervention attrition rates were also similarly high in both groups.
One possible conclusion regarding attrition in this study is that young adult smokers are not very interested in intensive therapies such as those offered. Previous studies on young adult smoker have also shown high attrition in study protocols and poor adherence to behavioral therapies [28, 29]. This may be true for many such individuals; however, reports from those who completed the intervention were very positive, suggesting that for a portion of participants the interventions showed good acceptability. It is likely that the completer analyses is reporting results on those participants who were most receptive to mindfulness training, artificially increasing effect sizes. In the future trials on young adult binge drinkers, it would be wise to incorporate design elements to decrease attrition. Such methods might include identification of individuals that are most prone to stay in an intensive intervention, or implementation of incentives for treatment adherence. Another limitation of this study was small sample size. As a pilot study, the sample size was such that even if respectable differences were found between groups, smoking and alcohol outcomes would likely be underpowered to reach significance. A final study limitation is that outcomes were assessed only at 2-weeks post-quit and, as such, the magnitude and pattern of treatment group differences at long-term follow-up (e.g., 6-months post-quit) are unknown.
This study was designed as part of a mindfulness intervention development effort consistent with NIH-endorsed stage-1 development protocols for testing emerging therapies. Goals of this type of pilot study were to provide understandings of program acceptability, estimates of effect sizes, and insights to guide program development . Primary findings from this study suggest that MTS, compared to a closely matched control, produced non-significant increases in short-term (2-week) smoking abstinence and showed reasonable acceptability among those who completed the intervention. The study also showed non-significant differences in alcohol use in MTS compared to controls. This suggests some promise that mindfulness skills, taught for the purpose of smoking cessation, may generalize to decrease alcohol use. It is hoped that these findings might be useful in the design of future studies that evaluate mindfulness-based treatments for smokers.
- Centers for Disease Control and Prevention: Smoking-attributable mortality, years of potential life lost, and productivity losses--United States, 2000–2004. MMWR Morb Mortal Wkly Rep. 2008, 57 (45): 1226-1228.Google Scholar
- Pleis JR, Ward BW, Lucas JW: Summary health statistics for U.S. adults: national health interview survey, 2009. Vital Health Stat. 2010, 10 (249): 1-207.Google Scholar
- Abuse S, Administration MHS: Results from the 2010 national survey on drug use and health: summary of national findings, NSDUH series H-41, HHS publication no. (SMA) 11–4658. 2010, Department of Health and Human Service: Rockville, MDGoogle Scholar
- Steinberg L: Risk taking in adolescence: new perspectives from brain and behavioral science. Curr Dir Psychol Sci. 2007, 16 (2): 55-59. 10.1111/j.1467-8721.2007.00475.x.View ArticleGoogle Scholar
- U.S. Department of Health and Human Services: Preventing tobacco use among youth and young adults: a report of the surgeon general. 2012, 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 HealthGoogle Scholar
- Pierce JP, Messer K, James LE, White MM, Kealey S, Vallone DM, Healton CG: Camel no. 9 cigarette-marketing campaign targeted young teenage girls. Pediatrics. 2010, 125 (4): 619-626. 10.1542/peds.2009-0607.View ArticlePubMedGoogle Scholar
- Gilpin EA, Pierce JP, Rosbrook B: Are adolescents receptive to current sales promotion practices of the tobacco industry?. Prev Med. 1997, 26 (1): 14-21. 10.1006/pmed.1996.9980.View ArticlePubMedGoogle Scholar
- Chizawsky LL, Estabrooks CA, Sales AE: The feasibility of web-based surveys as a data collection tool: a process evaluation. Appl Nurs Res. 2011, 24 (1): 37-44. 10.1016/j.apnr.2009.03.006.View ArticlePubMedGoogle Scholar
- U.S. Department of Health and Human Services: The health consequences of smoking: a report of the surgeon general. 2004, 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 HealthGoogle Scholar
- Peto R: Influence of dose and duration of smoking on lung cancer rates. IARC Sci Publ. 1986, 74: 23-33.PubMedGoogle Scholar
- Doll R, Peto R: Cigarette smoking and bronchial carcinoma: dose and time relationships among regular smokers and lifelong non-smokers. J Epidemiol Community Health. 1978, 32 (4): 303-313. 10.1136/jech.32.4.303.View ArticlePubMedPubMed CentralGoogle Scholar
- U.S. Department of Health and Human Services: The health benefits of smoking cessation: a report of the surgeon general: publication no. (CDC) 90-8416. 1990, Rockville, MD: U.S Department of Health and Human ServicesGoogle Scholar
- Fiore MC, Jaen CR, Baker TB, Bailey WC, Benowitz N, Curry SJ, Dorfman SF, Froelicher ES, Goldstein MG, Healton CG: Treating tobacco use and dependence: 2008 update. 2008, Rockville, MD: U.S. Department of Health and Human Services, U.S. Public Health ServiceGoogle Scholar
- Cremers HP, Mercken L, Oenema A, De Vries H: A web-based computer-tailored smoking prevention programme for primary school children: intervention design and study protocol. BMC Publ Health. 2012, 12 (1): 277-10.1186/1471-2458-12-277.View ArticleGoogle Scholar
- Cesaroni G, Forastiere F, Agabiti N, Valente P, Zuccaro P, Perucci CA: Effect of the Italian smoking ban on population rates of acute coronary events. Circulation. 2008, 117 (9): 1183-1188. 10.1161/CIRCULATIONAHA.107.729889.View ArticlePubMedGoogle Scholar
- Saffer H, Chaloupka F: The effect of tobacco advertising bans on tobacco consumption. J Health Econ. 2000, 19 (6): 1117-1137. 10.1016/S0167-6296(00)00054-0.View ArticlePubMedGoogle Scholar
- U.S. Department of Health and Human Services: Reducing tobacco use: a report of the surgeon general. 2000, 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 HealthGoogle Scholar
- Zara S: The guide to community preventive services. 2005, New York, NY: Oxford University PressGoogle Scholar
- Niaura R, Shadel WG, Britt DM, Abrams DB: Response to social stress, urge to smoke, and smoking cessation. Addict Behav. 2002, 27 (2): 241-250. 10.1016/S0306-4603(00)00180-5.View ArticlePubMedGoogle Scholar
- Ling PM, Glantz SA: Tobacco industry research on smoking cessation: recapturing young adults and other recent quitters. J Gen Intern Med. 2004, 19 (5 Pt 1): 419-426.View ArticlePubMedPubMed CentralGoogle Scholar
- Sussman S: Effects of sixty six adolescent tobacco use cessation trials and seventeen prospective studies of self-initiated quitting. Tob Induc Dis. 2002, 1 (1): 35-81.View ArticlePubMedPubMed CentralGoogle Scholar
- Suedfeld P, Landon PB, Pargament R, Epstein YM: An experimental attack on smoking: attitude manipulation in restricted environments: III. Int J Addict. 1972, 7 (4): 721-733.View ArticlePubMedGoogle Scholar
- Hellmann R, O’Shea RM, Kunz ML, Schimpfhauser FT: University health service physician intervention with cigarette smokers. J Am Coll Health. 1988, 37 (2): 91-93. 10.1080/07448481.1988.9939049.View ArticlePubMedGoogle Scholar
- Rutter S: Cigarette-smoking reduction in university students. Psychol Rep. 1990, 66 (1): 186-10.2466/pr0.1922.214.171.124.View ArticlePubMedGoogle Scholar
- Ames SC, Patten CA, Werch CE, Schroeder DR, Stevens SR, Fredrickson PA, Echols JD, Pennebaker JW, Hurt RD: Expressive writing as a smoking cessation treatment adjunct for young adult smokers. Nicotine Tob Res. 2007, 9 (2): 185-194. 10.1080/14622200601078525.View ArticlePubMedGoogle Scholar
- Centers for Disease Control and Prevention: Use of cessation methods among smokers aged 16-24 years-—United States, 2003. MMWR Morb Mortal Wkly Rep. 2006, 55 (50): 1351-1354.Google Scholar
- Zhu SH, Sun J, Billings SC, Choi WS, Malarcher A: Predictors of smoking cessation in U.S. adolescents. Am J Prev Med. 1999, 16 (3): 202-207. 10.1016/S0749-3797(98)00157-3.View ArticlePubMedGoogle Scholar
- An LC, Perry CL, Lein EB, Klatt C, Farley DM, Bliss RL, Hennrikus DJ, Pallonen UE, Lando HA, Ahluwalia JS: Strategies for increasing adherence to an online smoking cessation intervention for college students. Nicotine Tob Res. 2006, 8 (Suppl 1): S7-S12.View ArticlePubMedGoogle Scholar
- Smith PM, Reilly KR, Houston Miller N, DeBusk RF, Taylor CB: Application of a nurse-managed inpatient smoking cessation program. Nicotine Tob Res. 2002, 4 (2): 211-222. 10.1080/14622200210123590.View ArticlePubMedGoogle Scholar
- Wagenaar AC, Toomey TL, Lenk KM: Environmental influences on young adult drinking.http://pubs.niaaa.nih.gov/publications/arh284/230-235.htm,
- Smit ES, Hoving C, Cox VC, De Vries H: Influence of recruitment strategy on the reach and effect of a web-based multiple tailored smoking cessation intervention among Dutch adult smokers. Health Educ Res. 2012, 27 (2): 191-199. 10.1093/her/cyr099.View ArticlePubMedGoogle Scholar
- Anthony JC, Echeagaray-Wagner F: Epidemiologic analysis of alcohol and tobacco use. Alcohol Res Health. 2000, 24 (4): 201-208.PubMedGoogle Scholar
- White H, Jackson K: Social and psychological influences on emerging adult drinking behavior. Alcohol Res Health. 2005, 28 (4): 182-190.Google Scholar
- Griesler PC, Kandel DB, Davies M: Ethnic differences in predictors of initiation and persistence of adolescent cigarette smoking in the national longitudinal survey of youth. Nicotine Tob Res. 2002, 4 (1): 79-93. 10.1080/14622200110103197.View ArticlePubMedGoogle Scholar
- Courtney KE, Polich J: Binge drinking in young adults: data, definitions, and determinants. Psychol Bull. 2009, 135 (1): 142-156.View ArticlePubMedPubMed CentralGoogle Scholar
- Burton SM, Tiffany ST: The effect of alcohol consumption on craving to smoke. Addiction. 1997, 92 (1): 15-26. 10.1111/j.1360-0443.1997.tb03634.x.View ArticlePubMedGoogle Scholar
- King A, McNamara P, Conrad M, Cao D: Alcohol-induced increases in smoking behavior for nicotinized and denicotinized cigarettes in men and women. Psychopharmacology (Berl). 2009, 207 (1): 107-117. 10.1007/s00213-009-1638-9.View ArticleGoogle Scholar
- King AC, Epstein AM: Alcohol dose-dependent increases in smoking urge in light smokers. Alcohol Clin Exp Res. 2005, 29 (4): 547-552. 10.1097/01.ALC.0000158839.65251.FE.View ArticlePubMedGoogle Scholar
- Epstein AM, Sher TG, Young MA, King AC: Tobacco chippers show robust increases in smoking urge after alcohol consumption. Psychopharmacology (Berl). 2007, 190 (3): 321-329. 10.1007/s00213-006-0438-8.View ArticleGoogle Scholar
- Murray RP, Istvan JA, Voelker HT, Rigdon MA, Wallace MD: Level of involvement with alcohol and success at smoking cessation in the lung health study. J Stud Alcohol. 1995, 56 (1): 74-82.View ArticlePubMedGoogle Scholar
- Westmaas JL, Bontemps-Jones J, Bauer JE: Social support in smoking cessation: reconciling theory and evidence. Nicotine Tob Res. 2010, 12 (7): 695-707. 10.1093/ntr/ntq077.View ArticlePubMedGoogle Scholar
- Hurt RD, Eberman KM, Croghan IT, Offord KP, Davis LJ, Morse RM, Palmen MA, Bruce BK: Nicotine dependence treatment during inpatient treatment for other addictions: a prospective intervention trial. Alcohol Clin Exp Res. 1994, 18 (4): 867-872. 10.1111/j.1530-0277.1994.tb00052.x.View ArticlePubMedGoogle Scholar
- Burling TA, Burling AS, Latini D: A controlled smoking cessation trial for substance-dependent inpatients. J Consult Clin Psychol. 2001, 69 (2): 295-304.View ArticlePubMedGoogle Scholar
- Bobo JK, McIlvain HE, Lando HA, Walker RD, Leed-Kelly A: Effect of smoking cessation counseling on recovery from alcoholism: findings from a randomized community intervention trial. Addiction. 1998, 93 (6): 877-887. 10.1046/j.1360-0443.1998.9368779.x.View ArticlePubMedGoogle Scholar
- Cooney NL, Cooney JL, Perry BL, Carbone M, Cohen EH, Steinberg HR, Pilkey DT, Sevarino K, Oncken CA, Litt MD: Smoking cessation during alcohol treatment: a randomized trial of combination nicotine patch plus nicotine gum. Addiction. 2009, 104 (9): 1588-1596. 10.1111/j.1360-0443.2009.02624.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Ames SC, Werch CE, Ames GE, Lange LJ, Schroeder DR, Hanson AC, Patten CA: Integrated smoking cessation and binge drinking intervention for young adults: a pilot investigation. Ann Behav Med. 2010, 40 (3): 343-349. 10.1007/s12160-010-9222-4.View ArticlePubMedPubMed CentralGoogle Scholar
- Kahler CW, Metrik J, LaChance HR, Ramsey SE, Abrams DB, Monti PM, Brown RA: Addressing heavy drinking in smoking cessation treatment: a randomized clinical trial. J Consult Clin Psychol. 2008, 76 (5): 852-862.View ArticlePubMedPubMed CentralGoogle Scholar
- Huebner RB, Kantor LH: Advances in alcoholism treatment. Alcohol Res Health. 2011, 33 (4): 295-288.PubMedPubMed CentralGoogle Scholar
- Hall SM, Reus VI, Munoz RF, Sees KL, Humfleet G, Hartz DT, Frederick S, Triffleman E: Nortriptyline and cognitive-behavioral therapy in the treatment of cigarette smoking. Arch Gen Psychiatry. 1998, 55 (8): 683-690. 10.1001/archpsyc.55.8.683.View ArticlePubMedGoogle Scholar
- Marlatt GA: Buddhist philosophy and the treatment of addictive behavior. Cogn Behav Pract. 2002, 9 (1): 44-49. 10.1016/S1077-7229(02)80039-6.View ArticleGoogle Scholar
- Grossman P, Niemann L, Schmidt S, Walach H: Mindfulness-based stress reduction and health benefits: a meta-analysis. J Psychosom Res. 2004, 57 (1): 35-43. 10.1016/S0022-3999(03)00573-7.View ArticlePubMedGoogle Scholar
- Teasdale JD, Segal ZV, Williams JM, Ridgeway VA, Soulsby JM, Lau MA: Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy. J Consult Clin Psychol. 2000, 68 (4): 615-623.View ArticlePubMedGoogle Scholar
- Baer RA: Mindfulness training as a clinical intervention: a conceptual and empirical review. Clin Psychol. 2003, 10 (2): 125-143.Google Scholar
- Witkiewitz K, Marlatt GA, Walker D: Mindfulness-based relapse prevention for alcohol and substance use disorders. J Cogn Psychother. 2005, 19 (3): 211-228. 10.1891/jcop.2005.19.3.211.View ArticleGoogle Scholar
- Zgierska A, Rabago D, Zuelsdorff M, Coe C, Miller M, Fleming M: Mindfulness meditation for alcohol relapse prevention: a feasibility pilot study. J Addict Med. 2008, 2 (3): 165-173. 10.1097/ADM.0b013e31816f8546.View ArticlePubMedPubMed CentralGoogle Scholar
- Davis JM, Fleming MF, Bonus KA, Baker TB: A pilot study on mindfulness based stress reduction for smokers. BMC Complement Altern Med. 2007, 7: 2-10.1186/1472-6882-7-2.View ArticlePubMedPubMed CentralGoogle Scholar
- Brewer JA, Mallik S, Babuscio TA, Nich C, Johnson HE, Deleone CM, Minnix-Cotton CA, Byrne SA, Kober H, Weinstein AJ: Mindfulness training for smoking cessation: results from a randomized controlled trial. Drug Alcohol Depend. 2011, 119 (1-2): 72-80. 10.1016/j.drugalcdep.2011.05.027.View ArticlePubMedPubMed CentralGoogle Scholar
- Rounsaville BJ, Carroll KM, Onken LS: A stage model of behavioral therapies research: getting started and moving on from stage I. Clin Psychol. 2001, 8 (2): 133-142.Google Scholar
- Kabat-Zinn J: Wherever you go, there you are: mindfulness meditation in everyday life. 1994, New York: HyperionGoogle Scholar
- Sobell LC, Sobell MB, Leo GI, Cancilla A: Reliability of a timeline method: assessing normal drinkers’ reports of recent drinking and a comparative evaluation across several populations. Br J Addict. 1988, 83 (4): 393-402. 10.1111/j.1360-0443.1988.tb00485.x.View ArticlePubMedGoogle Scholar
- Collins SE, Eck S, Torchalla I, Schroter M, Batra A: Validity of the timeline followback among treatment-seeking smokers in Germany. Drug Alcohol Depend. 2009, 105 (1–2): 164-167.View ArticlePubMedGoogle Scholar
- Sobell LC, Brown J, Leo GI, Sobell MB: The reliability of the alcohol timeline followback when administered by telephone and by computer. Drug Alcohol Depend. 1996, 42 (1): 49-54. 10.1016/0376-8716(96)01263-X.View ArticlePubMedGoogle Scholar
- Middleton ET, Morice AH: Breath carbon monoxide as an indication of smoking habit. Chest. 2000, 117 (3): 758-763. 10.1378/chest.117.3.758.View ArticlePubMedGoogle Scholar
- Baker TB, Mermelstein R, Collins LM, Piper ME, Jorenby DE, Smith SS, Christiansen BA, Schlam TR, Cook JW, Fiore MC: New methods for tobacco dependence treatment research. Ann Behav Med. 2011, 41 (2): 192-207. 10.1007/s12160-010-9252-y.View ArticlePubMedPubMed CentralGoogle Scholar
- 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): 1119-1127. 10.1111/j.1360-0443.1991.tb01879.x.View ArticlePubMedGoogle Scholar
- Smith SS, Piper ME, Bolt DM, Fiore MC, Wetter DW, Cinciripini PM, Baker TB: Development of the brief Wisconsin inventory of smoking dependence motives. Nicotine Tob Res. 2010, 12 (5): 489-499. 10.1093/ntr/ntq032.View ArticlePubMedPubMed CentralGoogle Scholar
- Walach H, Buchheld N, Buttenmüller V, Kleinknecht N, Schmidt S: Measuring mindfulness–the Freiburg Mindfulness Inventory (FMI). Pers Indiv Differ. 2006, 40 (8): 1543-1555. 10.1016/j.paid.2005.11.025.View ArticleGoogle Scholar
- Simons JS, Gaher RM: The distress tolerance scale: development and validation of a self-report measure. Motiv Emotion. 2005, 29 (2): 83-102. 10.1007/s11031-005-7955-3.View ArticleGoogle Scholar
- Leung DY, Lam TH, Chan SS: Three versions of perceived stress scale: validation in a sample of Chinese cardiac patients who smoke. BMC Publ Health. 2010, 10: 513-10.1186/1471-2458-10-513.View ArticleGoogle Scholar
- American Lung Association: Freedom from smoking. 2010,http://www.lung.org/stop-smoking/how-to-quit/freedom-from-smoking/,Google Scholar
- Boardman T, Catley D, Mayo MS, Ahluwalia JS: Self-efficacy and motivation to quit during participation in a smoking cessation program. Int J Behav Med. 2005, 12 (4): 266-272. 10.1207/s15327558ijbm1204_7.View ArticlePubMedGoogle Scholar
- Schlomer GL, Bauman S, Card NA: Best practices for missing data management in counseling psychology. J Couns Psychol. 2010, 57 (1): 1-10.View ArticlePubMedGoogle Scholar
- Viswesvaran C, Schmidt FL: A meta-analytic comparison of the effectiveness of smoking cessation methods. J Appl Psychol. 1992, 77 (4): 554-561.View ArticlePubMedGoogle Scholar
- Nieva G, Ortega LL, Mondon S, Ballbe M, Gual A: Simultaneous versus delayed treatment of tobacco dependence in alcohol-dependent outpatients. Eur Addict Res. 2011, 17 (1): 1-9. 10.1159/000321256.View ArticlePubMedGoogle Scholar
- Kalman D, Kim S, DiGirolamo G, Smelson D, Ziedonis D: Addressing tobacco use disorder in smokers in early remission from alcohol dependence: the case for integrating smoking cessation services in substance use disorder treatment programs. Clin Psychol Rev. 2010, 30 (1): 12-24. 10.1016/j.cpr.2009.08.009.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6882/13/215/prepub
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