The alternative five-factor model of personality, nicotine dependence and relapse after treatment for smoking cessation

Nieva, Gemma; Valero, Sergi; Bruguera, Eugeni; Andión, Óscar; Trasovares, Ma. Victoria; Gual, Antoni; Casas, Miquel

doi:10.1016/j.addbeh.2011.05.008

Cited by 26 publications

(27 citation statements)

References 38 publications

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“…12 A further study involving 103 smokers found a difference in smoking behavior between the sexes and found that the relapse rate was higher in males at the end of 1 year. 13 On the contrary, other studies have found male sex to be a protective factor against relapse. 14, 15 Japuntich et al 16 emphasized the significance of sex and the nicotine dependence level.…”

Section: Discussionmentioning

confidence: 60%

Relapse Rate and Factors Related to Relapse in a 1-Year Follow-Up of Subjects Participating in a Smoking Cessation Program

et al. 2015

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BACKGROUND:The most important and difficult task when it comes to reducing tobacco-related morbidity and mortality is to convince smokers to quit and to maintain their abstinence. This study aimed to determine the smoking relapse rate and factors related to relapse in subjects who participated in a smoking cessation program and completed a 1-y follow-up in our center. METHODS: The study included 550 subjects who applied to a smoking cessation clinic from June 1, 2011 to December 31, 2011 and completed the 1-y follow-up. RESULTS: After 1 y, 282 (51.4%) subjects had relapsed, 132 (24%) had quit smoking, and 135 (24.6%) could not be contacted. The mean age ؎ SD was 41.5 ؎ 10.8 y, and 52.5% were male. There was no difference between non-relapsed and relapsed subjects with regard to age, sex, average smoking duration and daily number of cigarettes, reason to quit, education level, presence of symptoms and concomitant diseases, Fagerström nicotine dependence score, Beck depression score, and frequency of pharmacotherapy administration. In the relapsed group, the age began smoking was younger (P ‫؍‬ .05), and the longest prior duration of abstinence was shorter (P ‫؍‬ .04). The average number of support contacts was found to be significantly higher in the non-relapsed subjects (P < .001). Logistic regression analysis revealed alcohol intake to be a factor influencing relapse (odds ratio: 2.11, 95% CI: 1.13-3.93, P ‫؍‬ .02), as was the number of support contacts (odds ratio: 2.06, 95% CI: 1.59 -2.65, P < .001). The presence of drug adverse effects was close to being significant (odds ratio: 1.96, 95% CI: 0.93-4.10, P ‫؍‬ .07). CONCLUSION: The relapse rate in a 1-y period was 51.4%. Similar to previous studies, alcohol intake presented a relapse risk. In subjects receiving drug treatment, planning support meetings more frequently and paying attention to adverse effects may increase the success of smoking cessation.

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Section: Discussionmentioning

confidence: 60%

Relapse Rate and Factors Related to Relapse in a 1-Year Follow-Up of Subjects Participating in a Smoking Cessation Program

et al. 2015

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“…Multiple factors contribute to the initiation and maintenance of cigarette smoking (Li 2006). One personality factor that is consistently associated with vulnerability to and severity of smoking is impulsivity (e.g., Flory and Manuck 2009; Mitchell 1999; Nieva et al 2011). Impulsivity is a multi-faceted concept that includes inability to wait, difficulty in refraining from actions, and insensitivity to delayed consequences (de Wit 2008).…”

Section: Introductionmentioning

confidence: 99%

Impulsivity and cigarette smoking: discounting of monetary and consumable outcomes in current and non-smokers

et al. 2014

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Rationale In delay discounting, temporally remote rewards have less value. Cigarette smoking is associated with steeper discounting of delayed money. The generality of this to nonmonetary outcomes, however, is unknown. Objectives We sought to determine whether cigarette smokers also show steep discounting of other delayed outcomes. Methods Sixty-five participants (32 smokers and 33 non-smokers) completed four delay-discounting tasks, each involving different hypothetical outcomes. In the monetary task, participants indicated their preference for a smaller amount of money available immediately (titrated across trials) and $100 awarded at delays ranging from 1 week to 25 years (tested in blocks). In the three other discounting tasks the larger-later reward was $100 worth of a favorite food, alcoholic drink, or a favorite form of entertainment. All other aspects of these discounting tasks were identical to the monetary discounting task. Results As previously shown, smokers discounted delayed money more steeply than non-smokers did. In addition, smokers discounted delayed food and entertainment rewards more steeply than did nonsmokers. A person’s discounting of one outcome was correlated with discounting of other outcomes. Non-smokers discounted money less steeply than all other outcomes; smokers discounted money significantly less than food. Conclusions When compared to nonsmokers, cigarette smokers more steeply discount several types of delayed outcomes. This result, together with the finding that cross-commodity discounting rates were correlated within subjects, suggests that delay discounting is a trait that extends across domains.

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“…In females, we found that higher irritable temperament scores are strongly associated with smoking initiation and current smoker status. Although there is a lack of comparable studies in the field, it has been suggested that high impulsivitysensation seeking and general activity measured by the Alternative Five Factor Model has been related to high CPD in women (Nieva et al, 2011).…”

Section: Gender Differences In the Predictive Role Of Affective Tempementioning

confidence: 99%

“…Mood states together with stressful situations may explain the individual response to smoking cessation (Perkins, 1999;Kassel et al, 2003;Shadel et al, 2004). Gender differences in smoking initiation and cessation are fairly well known, and initiatives to address gender differences are imperative (WHO, 2010;Zatonski et al, 2012), but recent research related to the influence of personality on tobacco use is scarce, even though the influence of personality on tobacco use is differentially indicative of distinct personality patterns in the two genders (Piñeiro et al, 2013;Nieva et al, 2011).…”

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confidence: 98%

The association of affective temperaments with smoking initiation and maintenance in adult primary care patients

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et al. 2015

Journal of Affective Disorders

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The alternative five-factor model of personality, nicotine dependence and relapse after treatment for smoking cessation

Cited by 26 publications

References 38 publications

Relapse Rate and Factors Related to Relapse in a 1-Year Follow-Up of Subjects Participating in a Smoking Cessation Program

Relapse Rate and Factors Related to Relapse in a 1-Year Follow-Up of Subjects Participating in a Smoking Cessation Program

Impulsivity and cigarette smoking: discounting of monetary and consumable outcomes in current and non-smokers

The association of affective temperaments with smoking initiation and maintenance in adult primary care patients

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