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DOI 10.1136/tc-2024-058801

Медицинская библиотека · Tobacco control · 2026

Assessing the effects of minimum floor price laws on tobacco use among youth in the state of Virginia, USA: an agent-based simulation approach.

Lin Shuo-Yu, Purohit Hemant, Koch Randy, Barnes Andrew J, Hayes Rashelle B, Zhao Xiaoquan, Xue Hong

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Preventing youth exposure to cigarette smoking is a public health priority. One of the most effective ways to reduce tobacco use is to increase the prices of tobacco products. Minimum floor price laws (MFPLs) are a relatively new but more feasible strategy that sets a price below which the product cannot be sold. We aim to examine the effects of minimum floor prices (MFPs) on tobacco use among youth in Virginia.

METHODS

An agent-based modelling (ABM) was developed from bottom-up to evaluate the influence of increasing the cigarette MFPs on middle and high school students' smoking behaviour in the state of Virginia. A rational-addiction model was integrated to model the smoking decision of youth under the dynamic utility maximisation framework within the ABM.

RESULTS

The model predicted that every 10% increase in the MFP in Virginia could prevent 2232 8th graders and 1890 12th graders from cigarette smoking, a 2.4% and 1.8% reduction in median smoking prevalence. For students who smoked, 8th and 12th graders would consume 0.36 and 0.45 fewer cigarettes per smoking day if experiencing a 10% increase in the MFP from the baseline US$7.50 to US$8.30. The MFP level that produces the maximal response was estimated to be between 10% and 30%.

CONCLUSIONS

MFPLs provide local jurisdictions with a potentially effective strategy to reduce tobacco use and mitigate-related harms among youth.

Для цитирования: Lin Shuo-Yu, Purohit Hemant, Koch Randy, Barnes Andrew J, Hayes Rashelle B, Zhao Xiaoquan, Xue Hong. Assessing the effects of minimum floor price laws on tobacco use among youth in the state of Virginia, USA: an agent-based simulation approach.. Tobacco control. 2026. DOI: 10.1136/tc-2024-058801.

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