OBJECTIVE: To investigate the processes of change, demographic, health-and smokingrelated predictors of both smoking cessation and smoking reduction in adolescents. METHODS: Data were drawn from a sample of 755 adolescent smokers who participated in a study testing the efficacy of a text messaging-based intervention for smoking cessation. Demographic, health-and smoking-related variables were assessed at baseline. Five processes of smoking cessation, derived from the Transtheoretical Model and the Social Cognitive Theory, as well as outcome measures were assessed at 6-month follow up. Univariate and multivariate regression analyses were conducted to identify baseline and process variables to predict smoking abstinence and smoking reduction. RESULTS: Male gender (OR=0.43, p<.01), lower alcohol consumption (OR=0.90, p=.05) and a lower number of cigarettes smoked per day at baseline (OR=0.87, p<.01) predicted smoking abstinence. Baseline physical activity predicted smoking reduction (OR=1.04, p=.03). None of the examined process variables significantly predicted smoking abstinence. The process variable "counter-conditioning" predicted smoking reduction (OR=1.46, p=.03). CONCLU-SIONS: Baseline predictors of smoking cessation differ from predictors of smoking reduction. Dynamic or modifiable variables play an important role in predicting adolescent smoking cessation. PRACTICE IMPLICATIONS: Counter-conditioning might be an important element in adolescent smoking cessation interventions. of the 10 examined processes only "counter-conditioning" was effective in changing adolescent smoking behavior.
DOIThe aims of this study were to investigate a comprehensive set of demographic, health-and smokingrelated predictors of both smoking cessation and smoking reduction in adolescents. Furthermore, we tested whether the use of various processes of change derived from major theoretical models for adolescent smoking cessation predicted smoking cessation or reduction. The results of this study might increase our understanding of how specific intervention elements and participants` characteristics may influence adolescent smoking cessation.
Methods
ParticipantsThe data for this study were collected within the randomized controlled trial "Efficacy of a text present in the school classes, of whom 2638 (99.3%) completed the assessment. Afterwards, the students were invited to complete an online screening. The survey included the assessment of demographic data, alcohol consumption, weekly physical activity, tobacco smoking status, number of smoking friends and ownership of a mobile phone. Using these data, daily or occasional smoking students who owned a mobile phone were invited to participate in a study testing the efficacy of a text messaging based smoking cessation intervention. After receiving informed consent online, the following smoking-related variables were assessed: stage of change, number of cigarettes smoked per day, past quit attempts, and age of smoking onset. From 1012 eligible persons, who met the inclusion c...