Asunción Beamonte

Weight Gain and Anxiety Levels in Recent Ex-Smokers

OBJECTIVE To evaluate weight gain and its relation to anxiety in a group of smokers after 3 months of cessation treatment. PATIENTS AND METHODS The target population for this prospective, analytical, longitudinal study was smokers being treated in a specialist smoking cessation clinic who were still abstinent at the conclusion of a 3-month treatment program. The following variables were analyzed: age, sex, nicotine dependence (Fagerström test), daily cigarette consumption, number of pack-years, pharmacological treatment (nicotine replacement/bupropion), use of nicotine gum (yes/no), weight gain, body mass index, and degree of state and trait anxiety. Successful cessation was defined as self-reported abstinence confirmed by measurement of expired carbon monoxide (CO) level (< or = 10 ppm). Anxiety was evaluated using the State-Trait Anxiety Inventory. The state anxiety and weight variables were measured on 5 occasions: before smoking cessation, and at the end of week 1, month 1, month 2, and month 3 after cessation. Results for the quantitative variables were expressed as means (SD), and results for the qualitative variables were expressed as percentages and absolute frequencies. RESULTS The study population consisted of 122 individuals, 76 of whom were men (62%) and 46 of whom were women (38%). The mean age was 43.9 (9.9) years, and mean nicotine dependence according to the Fagerström scale was 6.2 (2.2) points. Average weight gain was 2.6 kg (3.6%), with no significant difference between the sexes. Weight gain in 25% of this population was greater than 4.2 kg, and maximum weight gain was 9.2 kg. Levels of state anxiety fell progressively as weight increased, although there was no evident relationship between the 2 variables. CONCLUSIONS Weight gain is moderate as smokers quit. Anxiety levels, which are greater in the first few weeks after cessation, do not explain weight variation, which is more related to the metabolic effects of nicotine rather than to psychological variables.

Predictors of outcome of a smoking cessation treatment by gender

OBJECTIVE To identify factors predictive of the outcome of a smoking cessation program by gender. METHODS A cross-sectional study of smokers starting treatment in a smoking cessation clinic from 2002 to 2007 was conducted. The variables consisted of data on sociodemographic factors, smoking habits, the social context of smoking and psychiatric comorbidity prior to or during the smoking cessation process. All patients received multicomponent treatment consisting of psychological and pharmacological interventions. Success was defined as self-reported continuous abstinence confirmed by cooximetry (CO ≤10 ppm). Logistic regression was used to analyze the factors predictive of success. RESULTS A total of 1302 persons (52.1% men and 47.9% women), with a mean age of 43.4 (10.2) years, were included. The mean number of cigarettes smoked per day was 25.3 (10.4) and the mean Fagerström test score was 6.2 (2.2) points. The success rate was 41.3% (538) with no differences by gender. Positive predictors were lower nicotine dependence and having a non-smoking partner in men and older age, smoking fewer cigarettes per day, having fewer smoking friends and not experiencing depression or anxiety during the treatment in women. CONCLUSIONS Men and women have similar tobacco abstinence outcomes although gender factors play a role in determining abstinence. The gender perspective should be incorporated in smoking prevention and cessation programs.

Predictors of Success at 6-Month Follow up for Smokers Treated at a Smoking Cessation Clinic

OBJECTIVE To identify the predictors of successful outcome in a smoking cessation program at 6-month follow-up. MATERIAL AND METHODS Cross-sectional descriptive study of a sample of smokers who attended a smoking cessation clinic for combined medical and cognitive-behavioral group therapy. The independent variables assessed included age, sex, level of education, nicotine dependence (Fagerström test), prior attempts to quit smoking, medication prescribed, compliance with group therapy regimen, and success at one week and 3 months. Success was defined as self-reported abstinence, confirmed by CO-oximetry (carbon monoxide <10 ppm). Odds ratios (with 95% confidence intervals) were calculated for the categorical variables and a test of statistical significance of differences between means was performed for quantitative variables. Univariate logistic regression analysis was performed and significant variables were entered into a multivariate logistic regression model. RESULTS The study population comprised 248 individuals, 67.7% male and 32.3% female, with a mean (SD) age of 43.1 (10.5) years. The mean score on the Fagerström test was 6.3 (2.1) points and 84.7% of the individuals complied with the treatment regimen. Success rates were as follows: 77% at one week, 30.2% at 3 months, and 31.9% at 6 months. Three variables--success at 3 months, age, and nicotine dependence--were entered into the multivariate logistic regression model; the only variable predictive of successful smoking cessation at 6 months was success at 3 months. CONCLUSIONS Individuals who fully comply with treatment and abstain from smoking during the first weeks are more likely to be successful at 6 months.

Analysis of housing price by means of STAR models with neighbourhood effects: a Bayesian approach

In this paper, we extend the Bayesian methodology introduced by Beamonte et al. (Stat Modelling 8:285–311, 2008) for the estimation and comparison of spatio-temporal autoregressive models (STAR) with neighbourhood effects, providing a more general treatment that uses larger and denser nets for the number of spatial and temporal influential neighbours and continuous distributions for their smoothing weights. This new treatment also reduces the computational time and the RAM necessities of the estimation algorithm in Beamonte et al. (Stat Modelling 8:285–311, 2008). The procedure is illustrated by an application to the Zaragoza (Spain) real estate market, improving the goodness of fit and the outsampling behaviour of the model thanks to a more flexible estimation of the neighbourhood parameters.

Bayesian inference in STAR models using neighbourhood effects

In this paper we propose a semi-parametric Bayesian analysis of a spatio-temporal autoregressive model (STAR) with neighbourhood effects similar to those of Pace et al. (1998, 2000). This approach allows us to make inferences about the parameters of the model and, more particularly, about the number of neighbours, without having to appeal to asymptotic results. In addition, the procedure used to obtain the out-sample predictions takes into account the uncertainty associated to the estimation of the model parameters in a more realistic way. The methodology is illustrated by means of an application to the real estate market in the city of Zaragoza (Spain).

Local labour markets delineation: an approach based on evolutionary algorithms and classification methods

In this paper a methodology for the delineation of local labour markets (LLMs) using evolutionary algorithms is proposed. This procedure, based on that in Flórez-Revuelta et al. [13,14], introduces three modifications. First, initial groups of municipalities with a minimum size requirement are built using the travel time between them. Second, a not fully random initiation algorithm is proposed. And third, as a final stage of the procedure, a contiguity step is implemented. These modifications significantly decrease the computational times of the algorithm (up to a 99%) without any deterioration of the quality of the solutions. The optimization algorithm may give a set of potential solutions with very similar values with respect to the objective function what would lead to different partitions, both in terms of number of markets and their composition. In order to capture their common aspects an algorithm based on a cluster partitioning of k-means type is presented. This stage of the procedure also provides a ranking of LLMs foci useful for planners and administrations in decision-making processes on issues related to labour activities. Finally, to evaluate the performance of the algorithm a toy example with artificial data is analysed. The full methodology is illustrated through a real commuting data set of the region of Aragón (Spain).

[Assessment of behavioral dependence with the Glover-Nilsson test in smoking cessation treatment].

OBJECTIVE To assess behavioral dependence using the Glover-Nilsson test and determine its association with successful smoking cessation. MATERIAL AND METHODS An analytical longitudinal study was carried out, the target population of which consisted of smokers who enrolled in a smoking cessation clinic for treatment. The following variables were examined: age, sex, nicotine dependence (Fagerström test), psychoactive drug use, prior attempts at quitting, and behavioral dependence measured with the Glover-Nilsson test. The most recent version of this test is an 11-item questionnaire which classifies behavioral dependence according to the scores obtained: mild (<12), moderate (12-22), severe (23-33), and very severe (>33). Successful cessation was defined as self-reported abstinence confirmed by measurement of expired CO level (< or =10 ppm). Results were expressed as means (SD) for quantitative variables and percentages and absolute frequencies for qualitative variables. RESULTS The study population consisted of 167 smokers--89 men (53.3%) and 78 women (46.7%)--with a mean age of 43.5 (9.9) years, a nicotine dependence score (Fagerström test) of 6.5 (2.2) points, and a Glover-Nilsson score of 23.3 (6.6). Of the study population, 65.9% (n=110) had made previous attempts at quitting. Abstinence at 3 months was 55.1% (n=92). Differences between the sexes were found for age and previous attempts at quitting. Younger patients had higher scores on the Glover-Nilsson test and the Fagerström test and lower abstinence rates. CONCLUSIONS Severe behavioral dependence can result in less successful cessation outcome. All aspects related to dependence must be assessed to help select the most adequate pharmacological and psychological treatment for results to be optimized.

Diferencias de género en el éxito al dejar de fumar: resultados a corto y largo plazo [Gender differences in success at quitting smoking: Short- and long-term outcomes]

Smoking cessation treatments are effective in men and women. However, possible sex-related differences in the outcome of these treatments remain a controversial topic. This study evaluated whether there were differences between men and women in the success of smoking cessation treatment, including gender-tailored components, in the short and long term (> 1 year). A telephone survey was carried out between September 2008 and June 2009 in smokers attended in a Smoking Cessation Clinic. All patients who have successfully completed treatment (3 months) were surveyed by telephone to determine their long-term abstinence. Those who remained abstinent were requested to attend the Smoking Cessation Clinic for biochemical validation (expired CO ≤10 ppm). The probability of remaining abstinent in the long-term was calculated using a Kaplan-Meier survival analysis. The treatment success rate at 3-months was 41.3% (538/1302) with no differences by sex 89% (479/538) among those located in the telephonic follow-up study and 47.6% (256/479) were abstinent without differences by sex (p = .519); abstinence was validated with CO less than 10 ppm in 191 of the 256 (53.9% men and 46.1% women). In the survival analysis, the probability of men and women remaining abstinent in the long-term was not significant. There are no differences by sex in the outcome of smoking cessation treatment that included gender-tailored components in the short and long term (> 1 year).

Diferencias de género en el éxito al dejar de fumar: resultados a corto y largo plazo

Smoking cessation treatments are effective in men and women. However, possible sex-related differences in the outcome of these treatments remain a controversial topic. This study evaluated whether there were differences between men and women in the success of smoking cessation treatment, including gender-tailored components, in the short and long term (> 1 year). A telephone survey was carried out between September 2008 and June 2009 in smokers attended in a Smoking Cessation Clinic. All patients who have successfully completed treatment (3 months) were surveyed by telephone to determine their long-term abstinence. Those who remained abstinent were requested to attend the Smoking Cessation Clinic for biochemical validation (expired CO ≤10 ppm). The probability of remaining abstinent in the long-term was calculated using a Kaplan-Meier survival analysis. The treatment success rate at 3-months was 41.3% (538/1302) with no differences by sex 89% (479/538) among those located in the telephonic follow-up study and 47.6% (256/479) were abstinent without differences by sex (p = .519); abstinence was validated with CO less than 10 ppm in 191 of the 256 (53.9% men and 46.1% women). In the survival analysis, the probability of men and women remaining abstinent in the long-term was not significant. There are no differences by sex in the outcome of smoking cessation treatment that included gender-tailored components in the short and long term (> 1 year).

Gender differences in success at quitting smoking: Short- and long-term outcomes.

Smoking cessation treatments are effective in men and women. However, possible sex-related differences in the outcome of these treatments remain a controversial topic. This study evaluated whether there were differences between men and women in the success of smoking cessation treatment, including gender-tailored components, in the short and long term (> 1 year). A telephone survey was carried out between September 2008 and June 2009 in smokers attended in a Smoking Cessation Clinic. All patients who have successfully completed treatment (3 months) were surveyed by telephone to determine their long-term abstinence. Those who remained abstinent were requested to attend the Smoking Cessation Clinic for biochemical validation (expired CO ≤10 ppm). The probability of remaining abstinent in the long-term was calculated using a Kaplan-Meier survival analysis. The treatment success rate at 3-months was 41.3% (538/1302) with no differences by sex 89% (479/538) among those located in the telephonic follow-up study and 47.6% (256/479) were abstinent without differences by sex (p = .519); abstinence was validated with CO less than 10 ppm in 191 of the 256 (53.9% men and 46.1% women). In the survival analysis, the probability of men and women remaining abstinent in the long-term was not significant. There are no differences by sex in the outcome of smoking cessation treatment that included gender-tailored components in the short and long term (> 1 year).