Cara M Murphy1, Rosemarie A Martin1, Jennifer W Tidey1, Suzanne M Colby1, Damaris J Rohsenow2. 1. Center for Alcohol and Addiction Studies, Brown University, Providence, RI, USA. 2. Center for Alcohol and Addiction Studies, Brown University, Providence, RI, USA; Providence Veterans Affairs Medical Center, Providence, RI, USA. Electronic address: Damaris_Rohsenow@brown.edu.
Abstract
OBJECTIVE: Strong expectations regarding positive effects of smoking may reduce the likelihood of successfully quitting. The Smoking Effects Questionnaire (SEQ) assesses the importance of seven expected positive and negative effects of smoking. SEQ was used to predict responses to contingent monetary rewards for smoking abstinence among smokers with substance use disorders (SUD). METHODS:Smokers (N = 184) in residential (i.e., 24 h/day) treatment for SUD received 19 consecutive days of eithercontingent vouchers (CV) for smoking abstinence (twice-daily carbon monoxide [CO] readings) or non-contingent vouchers (NV) plus counseling to motivate smoking cessation. Analyses investigated effects of smoking expectancies on days of smoking within-treatment and number of cigarettes/day at 1 month post-treatment. RESULTS: Higher positive expectancies for reduced negative affect, weight control, stimulation and positive social effects from smoking were related to more days of smoking during treatment only for participants in the CV condition. Post-treatment, expecting positive social and stimulating effects from smoking were related to more smoking only among CV participants. In both conditions, negative expectancies were largely unrelated to smoking outcomes. CONCLUSIONS: The moderation of CV by positive smoking expectancies suggests that those who rate positive expectancies as more important may require a complementary treatment or different incentives to reduce smoking. The SEQ was probably unassociated with smoking in NV due to little reduction in smoking behavior. Helping smokers with SUD develop alternative ways to produce positive effects sought from smoking may be important to improve initial smoking outcomes. Published by Elsevier Inc.
RCT Entities:
OBJECTIVE: Strong expectations regarding positive effects of smoking may reduce the likelihood of successfully quitting. The Smoking Effects Questionnaire (SEQ) assesses the importance of seven expected positive and negative effects of smoking. SEQ was used to predict responses to contingent monetary rewards for smoking abstinence among smokers with substance use disorders (SUD). METHODS: Smokers (N = 184) in residential (i.e., 24 h/day) treatment for SUD received 19 consecutive days of either contingent vouchers (CV) for smoking abstinence (twice-daily carbon monoxide [CO] readings) or non-contingent vouchers (NV) plus counseling to motivate smoking cessation. Analyses investigated effects of smoking expectancies on days of smoking within-treatment and number of cigarettes/day at 1 month post-treatment. RESULTS: Higher positive expectancies for reduced negative affect, weight control, stimulation and positive social effects from smoking were related to more days of smoking during treatment only for participants in the CV condition. Post-treatment, expecting positive social and stimulating effects from smoking were related to more smoking only among CV participants. In both conditions, negative expectancies were largely unrelated to smoking outcomes. CONCLUSIONS: The moderation of CV by positive smoking expectancies suggests that those who rate positive expectancies as more important may require a complementary treatment or different incentives to reduce smoking. The SEQ was probably unassociated with smoking in NV due to little reduction in smoking behavior. Helping smokers with SUD develop alternative ways to produce positive effects sought from smoking may be important to improve initial smoking outcomes. Published by Elsevier Inc.
Authors: Conrad J Wong; Stacey Anthony; Stacey C Sigmon; Joan A Mongeon; Gary J Badger; Stephen T Higgins Journal: Exp Clin Psychopharmacol Date: 2004-08 Impact factor: 3.157
Authors: Douglas E Jorenby; J Taylor Hays; Nancy A Rigotti; Salomon Azoulay; Eric J Watsky; Kathryn E Williams; Clare B Billing; Jason Gong; Karen R Reeves Journal: JAMA Date: 2006-07-05 Impact factor: 56.272
Authors: Damaris J Rohsenow; David B Abrams; Peter M Monti; Suzanne M Colby; Rosemarie Martin; Raymond S Niaura Journal: Addict Behav Date: 2003-09 Impact factor: 3.913