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Modelling how age-restricted location policies would impact tobacco retailer density in four US states: California, Connecticut, North Carolina and Ohio

Peter F Craigmile et al.

Tobacco Control2026https://doi.org/10.1136/tc-2025-059868article
ABDC B
Weight
0.50

What the paper says

The degree of TRD reduction estimated by these simulation models for an ARL policy is more powerful than what has been found for other retailer-focused strategies (eg, prohibiting tobacco retailers close to schools). ARL policies could be a promising and potentially powerful strategy for reducing TRD in the USA.

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Cite this paper

https://doi.org/https://doi.org/10.1136/tc-2025-059868

Or copy a formatted citation

@article{peter2026,
  title        = {{Modelling how age-restricted location policies would impact tobacco retailer density in four US states: California, Connecticut, North Carolina and Ohio}},
  author       = {Peter F Craigmile et al.},
  journal      = {Tobacco Control},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1136/tc-2025-059868},
}

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Modelling how age-restricted location policies would impact tobacco retailer density in four US states: California, Connecticut, North Carolina and Ohio

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.