Intolerance for smoking abstinence among nicotine-deprived, treatment-seeking smokers

Publication date: September 2018
Source:Addictive Behaviors, Volume 84
Author(s): Lisa J. Germeroth, Nathaniel L. Baker, Michael E. Saladin
IntroductionThe Intolerance for Smoking Abstinence Discomfort Questionnaire (IDQ-S) assesses distress tolerance specific to nicotine withdrawal. Though developed to assess withdrawal-related distress, the IDQ-S has not been validated among nicotine-deprived, treatment-seeking smokers. The present study extended previous research by examining the predictive utility of the IDQ-S among abstinent, motivated-to-quit smokers.MethodsAbstinent, treatment-seeking smokers completed the IDQ-S Withdrawal Intolerance and Lack of Cognitive Coping scales, assessments of nicotine dependence and reinforcement, and smoking history at baseline. At baseline and at 24-h, 2-week, and 1-month follow-up, participants completed a smoking cue-reactivity task (collection of cue-elicited craving and negative affect), and assessments of cigarettes per day (CPD; daily diaries at follow-up), carbon monoxide (CO), and cotinine.ResultsGreater IDQ-S Withdrawal Intolerance was associated with younger age, higher nicotine dependence and reinforcement, and less smoking years (ps < .03). Greater IDQ-S Lack of Cognitive Coping was associated with less education, lower nicotine dependence and reinforcement, higher baseline CPD, and no prior quit attempts (ps < .04). IDQ-S scales did not significantly predict cue-elicited craving or negative affect, CPD, CO, or cotinine levels at follow-up (ps > .10).ConclusionsWithdrawal intolerance and lack of cognitive coping did not predict smoking outcomes among nicotine-deprived, treatment-seeking smokers, but were associated with smoking characteristics, including nicotine dependence and reinforcement. Withdrawal intolerance and lack of cognitive coping may not be especially useful in predicting craving and smoking behavior, but future studies should replicate the present study's findings and assess the stability of the IDQ-S before forming firm conclusions about its predictive utility.



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