Background: It has frequently been suggested that adolescents are more likely to start smoking when they hold favorable social images or prototypes of smoking peers. Although empirical evidence supports the role of smoker prototypes in predicting smoking, little is known about the relative contribution of smoker prototypes, in comparison to more well-established social cognitive factors. Therefore, the present study investigated the relative impact of smoker prototypes, in comparison to factors of the theory of planned behavior, in predicting smoking among adolescents.

Methods: A three-wave prospective study was conducted among 612 Dutch 8th grade students (aged 12-13 years). Questionnaires were administered and adolescents were followed during one year.

Results: The results indicate that smoker prototypes are predictive of adolescent smoking behavior. Adolescents who believe that smoking peers are sociable more frequently engage in smoking behavior. Moreover, adolescents who hold the image that smoking peers are rebellious are less inclined to engage in smoking. These prototype factors predict a significant proportion of variance in smoking status, over and above the components of the theory of planned behavior.

Conclusion: The findings of the present study are interesting because they suggest that intervening on the level of smoker prototypes may contribute to the effectiveness of current programs aiming at the prevention of adolescents' smoking behavior.

Download full-text PDF

Source
http://dx.doi.org/10.1159/000092112DOI Listing

Publication Analysis

Top Keywords

smoker prototypes
24
smoking
12
predicting smoking
12
theory planned
12
smoking peers
12
smoking behavior
12
relative contribution
8
contribution smoker
8
prototypes predicting
8
comparison factors
8

Similar Publications

E.Co.Tech Breathalyzer: A Pilot Study of a Non-invasive COVID-19 Diagnostic Tool for Light and Non-smokers.

ACS Meas Sci Au

October 2024

Department of Biomedical Engineering, University of Texas at Dallas, 800 W Campbell Road, Richardson, Texas 75080, United States.

Analysis of exhaled breath offers a noninvasive approach to understanding the metabolic state of the body. This study focuses on the efficacy of an innovative Electrochemical Hand-held Breathalyzer COVID-19 Sensing Technology (E.Co.

View Article and Find Full Text PDF

Background: Individuals living in rural communities experience substantial geographic and infrastructure barriers to attaining health equity in accessing tobacco use cessation treatment. Social media and other digital platforms offer promising avenues to improve access and overcome engagement challenges in tobacco cessation efforts. Research has also shown a positive correlation between faith-based involvement and a lower likelihood of smoking, which can be used to engage rural communities in these interventions.

View Article and Find Full Text PDF

toxicology research has accelerated with the use of , computational approaches and human tissue systems, facilitating major improvements evaluating the safety and health risks of novel consumer products. Innovation in molecular and cellular biology has shifted testing paradigms, with less reliance on low-throughput animal data and greater use of medium- and high-throughput cellular screening approaches. These new approach methodologies (NAMs) are being implemented in other industry sectors for chemical testing, screening candidate drugs and prototype consumer products, driven by the need for reliable, human-relevant approaches.

View Article and Find Full Text PDF

Background: Conversational chatbots are an emerging digital intervention for smoking cessation. No studies have reported on the entire development process of a cessation chatbot.

Objective: We aim to report results of the user-centered design development process and randomized controlled trial for a novel and comprehensive quit smoking conversational chatbot called QuitBot.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!