Factores predictores de éxito según género en el tratamiento del tabaquismo

Characteristics of patients seeking outpatient smoking cessation treatment before and after the implementation of a smoke-free law in Valencia (Spain): a cross-sectional study

OBJECTIVE

Explore potential changes in the characteristics of patients requesting smoking cessation treatment at an outpatient setting in Spain before and after Law 42/2010 was enacted.

DESIGN

This is a cross-sectional study with convenience sampling. The information was obtained from the medical records of patients receiving smoking cessation treatment from January 2008 to December 2014.

SETTING

Hospital Clinico Universitario de Valencia.

PARTICIPANTS

423 patients who sought smoking cessation treatment 36 months before or 48 months after the enactment of the law.

RESULTS

After the enactment of a comprehensive smoke-free law in Spain, the patients seeking smoking cessation treatment were older (p=0.003), had lower values of exhaled CO (p<0.0001), lower number of previous attempts to quit (p=0.027) and more history of medical problems related to smoking (p=0.002).

CONCLUSION

Our findings support the idea that society-nation level interventions could have an impact at the individual level, reflected by the change of patients' characteristics. It seems that the Law 42/2010 mobilised certain group of patients to seek treatment.

Enhancing smoking cessation in Mexico using an e-Health tool in primary healthcare

OBJECTIVE

To evaluate an e-Health tool designed to enhance smoking cessation in Mexico in primary healthcare.

MATERIALS AND METHODS

Smokers 18 years of age and older were recruited in the waiting room of two primary healthcare clinics in Mexico City. Participants used an eHealth smoking cessation tool that included smoking-related assessments, education on pharmacotherapy, and motivational videos. A follow-up assessment was conducted at 12 weeks week on smoking status. Logistic regression models were performed to identify factors associated with smoking cessation or consumption reduction.

RESULTS

A total of 132 smokers were enrolled in the study. At follow-up, 23.5% of participants self-reported smoking cessation. Among those who did not quit smoking, 65.0% decreased the number of cigarettes. Factors associated significantly with smoking cessation were: being a non-daily smoker, being interested in quitting smoking, having low level of physical dependence, and participating in cessation treatment.

CONCLUSIONS

The e-Health tool produced a high rate of smoking cessation. Better outcomes are obtained when this tool is used with conventional cessation programs.

Effects of Delay Discounting and Other Predictors on Smoking Relapse

Despite the substantial decrease in the prevalence of tobacco smoking and the availability of effective smoking cessation treatments, smoking relapse after formal treatments remains extremely high. Evidence regarding clinical predictors of relapse after quitting is essential to promote long-term abstinence among those who successfully quit. This study aimed to explore whether baseline delay discounting (DD) rates and other sociodemographic, psychological, and smoking-related variables predicted relapse to smoking at six-month follow-up. Participants were 188 adult smokers (mean age = 42.9, SD = 12.9; 64.4% females) who received one of three treatment conditions: 6-weeks of cognitive–behavioral treatment (CBT) alone; or combined with contingency management (CBT + CM); or combined with cue exposure treatment (CBT+CET). Smoking status was biochemically verified. Logistic regression was conducted to examine prospective predictors of smoking relapse at six months after an initial period of abstinence. Greater DD rates (OR: 0.18; 95% CI [0.03, 0.93]), being younger (OR: 0.96; 95% CI [0.94, 0.99]), high nicotine dependence (OR: 1.34; 95% CI [1.13, 1.60]), and a higher number of previous quit attempts (OR: 4.47; 95% CI [1.14, 17.44]) increased the likelihood of smoking relapse at six-month follow-up. Besides sociodemographic and smoking-related characteristics, greater DD predisposes successful quitters to relapse back to smoking. These results stress the relevance of incorporating specific treatment components for reducing impulsivity.

Effectiveness of Text Messaging as an Adjuvant to Health Advice in Smoking Cessation Programs in Primary Care. A Randomized Clinical Trial

Introduction

Smoking remains a major risk factor for chronic diseases. Health advice is considered one of the most cost-effective interventions; however, changes produced by counseling tend not to persist over time, it is necessary to implement enforcement mechanisms.

Methods

Randomized clinical trial to evaluate the effectiveness of a combined program that includes health advice and text messaging to mobile phone (SMSalud®). Patients were randomized to one of two interventions: health advice (control group) or health advice and text messaging (intervention group). We included 320 smoker patients who met the inclusion criteria: being motivated, aged over 18 years, having a mobile phone, being able to read and send messages. Patients were excluded if they had a history of mental or behavioral disorders, or depression. The primary endpoint was the percentage of patients who had stopped smoking by 6 months and confirmed by CO breath test.

Results

By 6 months after the start of the program, 24.4% (39/160) of patients in the intervention group and 11.9% (19/160) of controls had stopped smoking (OR: 2.3; 95% CI: 1.3-4.3, p = .007). Patients with no dependence or mild dependence were more likely to stop (28.3%, 36/127 vs. 11.4%, 22/193; OR: 3.0, 95% CI: 1.7-5.5, p < .001). The rate of continuous abstinence at 12 months was 16.3% (26/160) in intervention group patients and 5.6% (9/160) in controls (OR: 3.2; 95% CI: 1.3-5.9).].

Conclusions

The combined program is effective for smoking cessation. Patients with less tobacco dependence have a higher probability of success.

Implications

Health advice is effective for promoting changes in lifestyle but these changes do not persist over time, so we have to use strengthening mechanisms, as e-health, and specifically, mobile phone based interventions. SMSalud® is an innovate program that includes text messaging and health advice, and it's effective for smoking cessation. The only feature that seems to affect the probability of smoking cessation is the degree of tobacco dependence.

Gender difference and effect of pharmacotherapy: findings from a smoking cessation service

BACKGROUND

Smoking cessation services are available in England to provide assistance to those wishing to quit smoking. Data from one such service were analysed in order to investigate differences in quit rate between males and females prescribed with different treatments.

METHODS

A logistic regression model was fitted to the data using the binary response of self-reported quit (failed attempt = 0, successful attempt = 1), validated by Carbon Monoxide (CO) monitoring, 4 weeks after commencing programme. Main effects fitted were: client gender; age; region; the type of advisory sessions; and pharmacotherapy, Nicotine Replacement Therapy (NRT) or Varenicline. A second model was fitted including all main effects plus two-way interactions except region. These models were repeated using 12-week self-reported quit as the outcome.

RESULTS

At 4 weeks, all main effects were statistically significant, with males more likely (odds ratio and 95 % CI, females v males = 0.88 [0.79-0.97]), older smokers more likely (adjusted odds ratios [OR] and 95 % confidence interval [CI] respectively for groups 20-29, 30-49, 50-69 and 70+ vs 12-19 age group: 1.79 [1.39-2.31], 2.12 [1.68-2.68], 2.30 [1.80-2.92] and 2.47 [1.81-3.37] and for overall difference between groups, χ2(4) = 53.5, p < 0.001) and clients being treated with Varenicline more likely to have successfully quit than those on NRT (adjusted OR and 95 % CI for Varenicline vs NRT = 1.41 [1.21-1.64]). Statistically significant interactions were observed between (i) gender and type of counselling, and (ii) age and type of counselling. Similar results were seen in relation to main effects at 12 weeks except that type of counselling was non-significant. The only significant interaction at this stage was between gender and pharmacotherapy (adjusted OR and 95 % CI for females using Varenicline versus all other groups = 1.43 [1.06-1.94]).

CONCLUSION

Gender and treatment options were identified as predictors of abstinence at both 4 and 12 weeks after quitting smoking. Furthermore, interactions were observed between gender and (i) type of counselling received (ii) pharmacotherapy. In particular, the quit rate in women at 12 weeks was significantly improved in conjunction with Varenicline use. These findings have implications for service delivery.

Searching for phenotypes in smoking cessation treatment

BACKGROUND

It is important to define smoking phenotypes according to different variables, such as age, sex and degree of dependence, for which available treatments could have different efficacies.

OBJECTIVE

The main objective of our study was aimed at defining different combinations of these variables to allow the best possible treatment to be chosen in routine clinical practice.

METHODS

We reviewed the clinical records of smokers who had been treated in our Smoking Cessation Service. In all cases, the treatment programme consisted of a combination of behavioural therapy and optional drug treatment.

RESULTS

The group consisted of 3622 subjects, specifically 1757 men (48.5%). The mean age of the participants in the group was 48.11 ± 11.19 years. The mean score of the FTCD-questionnaire was 6.66 ± 2.38. In addition, 78% of the subjects smoked their first cigarette within 30 min after waking. For the total sample, continuous abstinence rate from 9 to 24 weeks was 57.7%. A multivariate analysis using the logistic regression model was implemented, and it showed that: (i) Nicotine Replacement Therapy was less effective in patients with high tobacco dependence, (ii) young subjects can be highly resistant to all treatments and (iii) subjects with low tobacco dependence can be treated with any treatment, but bupropion and varenicline provided the best results.

CONCLUSION

It was possible to identify several smoking phenotypes in which different treatments have different efficacies.

The Relationship between Smoking Status and Suicidal Behavior in Korean Adults: The 4th Korea National Health and Nutrition Examination Survey (2007-2009)

BACKGROUND

This study was performed to evaluate the relationship between smoking status and suicidal ideations or suicide attempts in Korean adults.

METHODS

The study used data from the 4th Korea National Health and Nutrition Examination Survey, and involved 17,065 participants. We used multiple logistic regression analysis to evaluate the relationship between smoking status and suicidal behavior. The results were adjusted for covariates including depression and physical disease.

RESULTS

After adjusting for covariates, current smokers (odds ratio [OR], 1.66; 95% confidence interval [CI], 1.34 to 2.05) and former smokers (OR, 1.39; 95% CI, 1.13 to 1.72) proved more likely to have suicidal ideations than non-smokers. Among women, current smokers (OR, 2.00; 95% CI, 1.47 to 2.72) and former smokers (OR, 1.48; 95% CI, 1.11 to 1.99) were more likely to have suicidal ideations than non-smokers. However, among the men there was no significant relationship between smoking status and suicidal ideations. Among all the participants who had had suicidal ideations, there was a significant relationship between current smoking and suicide attempts (OR, 1.80; 95% CI, 1.05 to 3.07). There was also a relationship between current smoking and suicide attempts among women (OR, 2.40; 95% CI, 1.31 to 4.37), but no significant relationship among men.

CONCLUSION

There is a relationship between smoking status and suicidal ideations and suicide attempts in the general population of Korea. This relationship is particularly clear in women, and is independent of comorbid chronic disease and depression. Current smokers and former smokers are more likely to have suicidal ideations than non-smokers; current smokers are also more likely to have attempted suicide.