ArticleFrontiers in public health2026
Differential predictors of smoking quit attempts between single- and poly-tobacco-using adolescents: a Korean national survey analysis.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Background: Despite the rapid rise in adolescent poly-tobacco use, evidence on what drives quit attempts in this high-risk group remains limited compared to single-product users. This study identifies these differential predictors using a socio-ecological framework to inform tailored tobacco control strategies. Methods: This study performed a cross-sectional analysis using complex sample logistic regression on pooled data from the 2023-2024 Korea Youth Risk Behavior Survey (KYRBS), a nationwide survey conducted in South Korea. Participants included a total of 5,127 current adolescent smokers, of whom 40.8% were single-product users and 59.2% were poly-tobacco users. The primary outcome was self-reported quit attempts within the past 12 months. Predictors included user type and individual, interpersonal, organizational, and community/policy factors based on the socio-ecological model. Results: Poly-tobacco users exhibited a more vulnerable profile but reported significantly more quit attempts than single-product users. While school-based education and peer smoking were shared facilitators, the positive impact of education was significantly more pronounced in poly-tobacco users ( Conclusion: Predictors of adolescent quit attempts differ significantly by tobacco use complexity. Although a higher-risk group, poly-tobacco users showed a stronger association between quit attempts and both school-based education and media campaigns. This highlights the need for tailored tobacco control strategies that account for varying levels of receptivity among different user groups.
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