%0 Journal Article
%A Pascual Lledó, José Francisco
%A Asensio Sánchez, Santos
%A Solano Reina, Segismundo
%A García Rueda, Marcos
%A Martínez Muñiz, Manuel Ángel
%A Lazaro Asegurado, Lourdes
%A Buljubasich, Daniel
%A Luhning, Susana
%A Pendino, Rogelio
%A Cienfuegos Agustín, Isabel
%A Jiménez-Ruiz, Carlos Andrés
%A Granda Orive, José Ignacio De
%T Is the motivation to quit smoking a predictor of abstinence maintenance?
%D 2021
%U https://hdl.handle.net/20.500.14352/113355
%X INTRODUCTION The aim of this study was to explore the utility of measuring motivation to quit smoking as a predictor of abstinence maintenance among smokers who wanted to quit and who were included in a multicenter studyconducted in daily clinical practice.METHODS This observational, longitudinal (prospective cohort), multicenter study was conducted in smoking clinics in Spain and the Argentine Republic in daily clinical practice. Motivation was assessed using three quantitativemotivation tests and a Visual Analogue Scale. Statistical analysis included descriptive, association measures and logistic regression models. RESULTS Of a total of 404 subjects, 273 were ultimately included for analysis (147 women; 53.8%), mean age 51±11 years). In one year, 53.5% (36.13% by intention to treat) of subjects (146) were successful in quitting smoking [men: 45.2% (66) and women: 54.8% (80)], with no differences between sexes. None of the scales utilized was associated, in an unquestionable or direct way, with long-term abstinence, although three of them, in a very complex model, with additional variables and added interactions, wereassociated with the ‘result’ variable, when other variables intervened in certain circumstances.CONCLUSIONS None of the analyzed motivational scales alone demonstrated an association with success or failure in quitting smoking; thus, their use in isolation is of no value. Some of the scales analyzed might be related to the maintenance of abstinence but in complex models where other variables intervene, which makes interpretation considerably difficult. Therefore, thepredictive capacity of the tests analyzed, based on the models, was low.
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