Assessing the Impact of Packaging with Health Warning Labels on Cigarette Consumption within Academic Communities
- DOI
- 10.2991/978-94-6463-445-7_22How to use a DOI?
- Keywords
- Health warning labels; cigarette consumption reduction; wilcoxon signed-rank test
- Abstract
This study investigates the response of educated consumers within a university campus setting to health warning labels (HWLs) on cigarette packaging in Indo-nesia. The research aims to assess consumer perceptions of these labels and quantify changes in cigarette consumption before and after their implementation. The study was conducted at the University of Jember using purposive sampling. Descriptive analytics and the Wilcoxon signed-rank test were employed for data analysis, with a sample size of 120 participants determined using the Lameshow's formula. Findings indicate that most respondents approved of including HWLs but expressed reservations about their accuracy. Despite this, most considered these labels to be essential. The Wilcoxon signed-rank test revealed a significant reduction in cigarette consumption following the introduction of HWLs (p-value = 0.000). Notwithstanding, it is important to acknowledge that the elevated cost of cigarettes due to increasing taxation following the evolution of labelling may have played a role in this decline.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Joni Murti Mulyo Aji AU - Bagas Yanuar Kafabi PY - 2024 DA - 2024/06/29 TI - Assessing the Impact of Packaging with Health Warning Labels on Cigarette Consumption within Academic Communities BT - Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023) PB - Atlantis Press SP - 201 EP - 211 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-445-7_22 DO - 10.2991/978-94-6463-445-7_22 ID - Aji2024 ER -