Open Access

Effects of Graphic Warning Labels (GWL) on the Factors Escalating Smoking Behaviour: An Empirical Study on Pakistani Adult Consumers

1 UTAR, FBF
2 UTAR, FBF

Abstract

Cigarette smoking remains a substantial public health concern, contributing to millions of This study investigates the influence of Graphic Warning Labels (GWLs) on smoking behavior among adult smokers in Pakistan. The study is addressing the moderating role of GWL effectiveness in the relationships between perceived smoking environment, perceived stress, and smoking addiction. As the method, a quantitative, cross-sectional survey was employed, collecting data from 501 adult smokers aged 18–40 years in Rawalpindi, Pakistan, through convenience sampling. Structural Equation Modelling (SEM) using AMOS was employed to analyze direct and moderating effects. Findings revealed that all three independent variables significantly predict smoking behavior: perceived smoking environment (β = 0.102, p = 0.033), smoking addiction (β = 0.107, p = 0.018), and perceived stress (β = 0.218, p < 0.001). However, moderation analysis indicated that GWL effectiveness did not significantly moderate the relationship between any of the predictors and smoking behavior. Interaction  effects were not significant in perceived smoking environment (β = 0.057, p = 0.197), perceived stress (β = -0.037, p = 0.405), and smoking addiction (β = 0.064, p = 0.166). These findings indicate that although there is evidence that increases awareness, the level of implementation of GWLs in Pakistan is not sufficient to change smoking behaviour where there are high levels of addiction, stress, and social exposure. A more comprehensive tobacco control program with plain packaging, public education, and cessation assistance is suggested to provide a deterrent effect to GWLs.

Keywords

How to Cite

Butt, F. A., & Tariq, Z. (2025). Effects of Graphic Warning Labels (GWL) on the Factors Escalating Smoking Behaviour: An Empirical Study on Pakistani Adult Consumers. Journal of Sports Industry & Blockchain Technology, 2(1), 39–53. https://doi.org/10.5281/zenodo.15691503

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