Tratamiento por teléfono del tabaquismo. Factores predictivos de éxito

Castellet, José María; Aróstegui, Belén Maldonado; Laborda, Mónica Quesada; Sánchez, Begoña Sánchez; Puerta, Isabel Nerín de la; Agudo, L. Sánchez

doi:10.1016/j.medcli.2011.04.018

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…This study showed that being married and lower levels of nicotine dependence were also significant predictors; these findings complement those of other recent studies. 13 16 30 31 Smoking behaviours were found to be strongly related to social conventions and customs. Married smokers receive more support from family members, and thus they are more likely to quit.…”

Section: Discussionmentioning

confidence: 99%

Relationship between education levels and booster counselling sessions on smoking cessation among Chinese smokers

Jiang

et al. 2015

BMJ Open

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ObjectivesAlthough various effective interventions are available to help individuals quit smoking, the effect of educational levels on cessation rates has rarely been studied, and of the few intervention studies on this topic, the results have been conflicting.Design and settingFrom October 2008 to August 2013, a partly retrospective non-randomised study was conducted in a smoking cessation clinic of a large general hospital in Beijing, China.ParticipantsIn total, 547 Chinese smokers who sought treatment were divided into two groups: a face-to-face counselling group (FC, n=149) and an FC group subjected to four telephone follow-up sessions (FCF, n=398).OutcomesWe evaluated self-reported cessation rates by day 7 and after 6 and 12 months and stratified the two groups by education levels.ResultsThe 7-day and 6-month and 12-month continuous cessation rates of smokers of low education levels in the FC group at the time of the 12-month follow-up were 12.5%, 7.1% and 7.1%, respectively, which were lower than those of the highly educated smokers (16.1%, 12.9% and 9.7%, respectively). The results were opposite for the FCF group. The corresponding results for the highly educated smokers of the FCF group were 25.0%, 17.2% and 10.3%, respectively, which were lower than those for the smokers of low education levels (28.3%, 22.9% and 18.1%, respectively). However, significant differences were observed only among the FCF group participants who had experienced 12 months of continuous abstinence, and the crude OR for these individuals was recorded at 0.52 (0.29 to 0.93), p=0.03. A stepwise logistic regression showed that education levels may play a role in various intervention methods. Being married and higher Fagerström test scores were also predictors of cessation tendencies.ConclusionsEducation levels may affect the benefits of booster counselling sessions on smoking cessation among Chinese smokers.

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Section: Discussionmentioning

confidence: 99%

Relationship between education levels and booster counselling sessions on smoking cessation among Chinese smokers

Jiang

et al. 2015

BMJ Open

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“…Other programs such as computerized interventions have resulted in tobacco abstinence of 32% (Chen et al, 2012). Here, the telephone interview has demonstrated the effectiveness in utilizing family members of patients in implementing smoking cessation programs (Carreras Castellet et al, 2012; Winickoff, Hillis, Palfrey, Perrin & Rigotti, 2003). Our results reinforce the utility and sustainability of tobacco cessation in the context of the phone intervention.…”

Section: Discussionmentioning

confidence: 99%

Long term follow-up of a tobacco prevention and cessation program in cystic fibrosis patients

et al. 2016

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This study evaluates the impact over time of a telephone-based intervention in tobacco cessation and prevention targeting patients with cystic fibrosis (CF) in the Mediterranean region of Murcia, Spain. We conducted an experimental prospective study with a cohort of CF patients using an integrative smoking cessation programme, between 2008 and 2013. The target population included family members and patients from the Regional CF unit. The study included an initial tobacco exposure questionnaire, measurement of lung function, urinary cotinine levels, anthropomorphic measures and the administered intervention at specific time intervals. Of the 88 patients tracked through follow-up, active smoking rates were reduced from 10.23% to 4.55% (p = 0.06). Environmental tobacco exposure was reduced in non-smoker patients from 62.03% to 36.90% (p < 0.01) during the five year follow-up. Significant reductions in the gradient of household tobacco smoke exposure were also observed with a decrease of 12.60%, from 31.65% (n = 25/79) to 19.05% (n = 16/84) in 2013 (p = <0.01). Cotinine was significantly correlated with both active and passive exposure (p<0.01) with a significant reduction of cotinine levels from 63.13 (28.58–97.69) to 20.56 (0.86–40.27) ng/ml (p<0.01). The intervention to significantly increase the likelihood of family quitting (smoke-free home) was 1.26 (1.05–1.54). Telephone based interventions for tobacco cessation and prevention is a useful tool when applied over time. Trained intervention professionals in this area are needed in the environmental health approach for the treatment of CF.

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