scholarly journals Self-control depletion and nicotine deprivation as precipitants of smoking cessation failure: A human laboratory model.

2017 ◽  
Vol 85 (4) ◽  
pp. 381-396 ◽  
Author(s):  
Bryan W. Heckman ◽  
David A. MacQueen ◽  
Nicole S. Marquinez ◽  
James MacKillop ◽  
Warren K. Bickel ◽  
...  
2012 ◽  
Vol 14 (11) ◽  
pp. 1362-1371 ◽  
Author(s):  
S. A. McKee ◽  
A. H. Weinberger ◽  
J. Shi ◽  
J. Tetrault ◽  
S. Coppola

Author(s):  
ONUR OZTRK ◽  
Mustafa SELCUK ◽  
Bektas YALCIN ◽  
Mustafa NAL

1992 ◽  
Vol 6 (3) ◽  
pp. 184-196 ◽  
Author(s):  
Christine A. Wynd

Background. Theoretically-based interventions are necessary for enhancing the power of self-control behaviors in smokers attempting to quit smoking cigarettes. The purpose of this study was to examine the use of guided imagery and relaxation techniques as interventions for smoking cessation. The relationship of imagery and self-control was also examined. Methods. A convenience sample of 84 adult smokers participated in one of three treatment conditions: power imagery (n = 28), relaxation imagery (n =29), and “placebo” control (n = 27). Treatment group members were taught imagery during a six-session smoking cessation program, and the control group was provided imagery training upon study completion. Results. Smoking quit rates were 67% for the power imagery group, 69 % for the relaxation group, and 27% for the control group. At a three-month follow-up, the power imagery group had a continued abstinence rate of 52 % (relapse rate = 48 %), the relaxation group had an abstinence rate of 55% (relapse rate = 45 %), and the control group cessation rate remained at 27% (relapse rate = 73%). One-way and repeated measures MANOVAs demonstrated significant differences among the three groups at posttreatment, F (8, 158) = 13.92, p < .05, and revealed that the practice of imagery treatments over time produced changes in power test scores and smoking rates, F(3, 127) = 24.67, p < .05. Discussion. This study demonstrated that power and relaxation imagery treatments were equally effective in reducing smoking rates. Further investigations into the therapeutic uses of imagery are recommended.


2019 ◽  
Vol 27 (2) ◽  
pp. 125-135
Author(s):  
Adam M. Leventhal ◽  
Nicholas I. Goldenson ◽  
Claudia G. Aguirre ◽  
Jimi Huh ◽  
Matthew G. Kirkpatrick

2018 ◽  
Vol 26 (3) ◽  
pp. 244-250 ◽  
Author(s):  
Lindsay M. S. Oberleitner ◽  
Kelly E. Moore ◽  
Terril Verplaetse ◽  
Walter Roberts ◽  
Sherry A. McKee

2008 ◽  
Vol 22 (4) ◽  
pp. 486-495 ◽  
Author(s):  
Kathleen A. O'Connell ◽  
Joseph E. Schwartz ◽  
Saul Shiffman

2013 ◽  
Vol 113 (3) ◽  
pp. 921-929 ◽  
Author(s):  
J. S. Brook ◽  
C. Zhang ◽  
E. B. Balka ◽  
N. Seltzer ◽  
D. W. Brook

This study examined whether personality characteristics measured when a woman is in her mid-40s can predict success in sustained smoking cessation 22 years later, when the woman is in her mid-60s. Multivariate logistic regression analyses were conducted on data from a sample of 195 women ( M ages 43 and 65, respectively), who were regular smokers and participated in a longitudinal study from 1983 to 2009. The results suggest that women who exhibited low self-control, high resistance to rules, impulsivity, and sensation seeking in their mid-40s were significantly less likely to succeed in quitting smoking for a period of 5 years or more by the time they reached their mid-60s. Addressing some personal characteristics in smoking cessation programs might enhance their effectiveness and success.


2020 ◽  
Vol 56 (1) ◽  
pp. 47-56
Author(s):  
Carolina L Haass-Koffler ◽  
Rachel D Souza ◽  
James P Wilmott ◽  
Elizabeth R Aston ◽  
Joo-Hyun Song

Abstract Aims Previous studies have shown that there may be an underlying mechanism that is common for co-use of alcohol and tobacco and it has been shown that treatment for alcohol use disorder can increase rates of smoking cessation. The primary aim of this study was to assess a novel methodological approach to test a simultaneous behavioral alcohol-smoking cue reactivity (CR) paradigm in people who drink alcohol and smoke cigarettes. Methods This was a human laboratory study that utilized a novel laboratory procedure with individuals who drink heavily (≥15 drinks/week for men; ≥8 drinks/week for women) and smoke (&gt;5 cigarettes/day). Participants completed a CR in a bar laboratory and an eye-tracking (ET) session using their preferred alcohol beverage, cigarettes brand and water. Results In both the CR and ET session, there was a difference in time spent interacting with alcohol and cigarettes as compared to water (P’s &lt; 0.001), but no difference in time spent interacting between alcohol and cigarettes (P &gt; 0.05). In the CR sessions, craving for cigarettes was significantly greater than craving for alcohol (P &lt; 0.001), however, only time spent with alcohol, but not with cigarettes, was correlated with craving for both alcohol and cigarettes (P &lt; 0.05). Conclusion This study showed that it is feasible to use simultaneous cues during a CR procedure in a bar laboratory paradigm. The attention bias measured in the integrated alcohol-cigarettes ET procedure predicted participants’ decision making in the CR. This novel methodological approach revealed that in people who drink heavily and smoke, alcohol cues may affect craving for both alcohol and cigarettes.


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