Literature DB >> 19466926

A cohort study to examine whether time and risk preference is related to smoking cessation success.

Rei Goto1, Yuko Takahashi, Shuzo Nishimura, Takanori Ida.   

Abstract

AIM: To identify whether time and risk preference predicts relapse among smokers trying to quit.
DESIGN: A cohort study of smokers who had recently started to quit. Time and risk preference parameters were estimated using a discrete choice experiment (DCE). PARTICIPANTS: A total of 689 smokers who began quitting smoking within the previous month. MEASUREMENTS: Time discount rate, coefficient of risk-aversion measured at study entry and duration of smoking cessation measured for 6 months.
FINDINGS: In the unadjusted model, Cox's proportional hazard regression showed that those with a high time discount rate were more likely to relapse [hazard ratio: 1.18, 95% confidence interval (CI): 1.11-1.25]. A high coefficient of risk-aversion reduced the hazard of relapse (0.96, 0.96-0.97). When adjusted for other predictors of relapse (age, gender, self-efficacy of quitting, health status, mood variation, past quitting experience, the use of nicotine replacement therapy, nicotine dependence), the hazard ratios of time discount rate and the coefficient of risk-aversion is 1.17 (95% CI: 1.10-1.24) and 0.98 (95% CI: 0.97-0.99), respectively.
CONCLUSIONS: Those who emphasize future rewards (time-patient preference) and those who give more importance to rewards that are certain (higher risk-aversion) were significantly more likely to continue to abstain from smoking.

Entities:  

Mesh:

Year:  2009        PMID: 19466926     DOI: 10.1111/j.1360-0443.2009.02585.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  13 in total

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Review 9.  Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic Review.

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Review 10.  Behavioural tasks sensitive to acute abstinence and predictive of smoking cessation success: a systematic review and meta-analysis.

Authors:  Meryem Grabski; H Valerie Curran; David J Nutt; Stephen M Husbands; Tom P Freeman; Meg Fluharty; Marcus R Munafò
Journal:  Addiction       Date:  2016-08-08       Impact factor: 6.526

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