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Cited by 494

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Hours and Days of Sale and Density of Alcohol Outlets: Impacts on Alcohol Consumption and Damage: A Systematic Review

Open access
Popova, S., Giesbrecht, N., Bekmuradov, D., Patra, J.·2009·Alcohol and Alcoholism

Abstract

AIMS: The aim of this study was to examine recent research studies published from 2000 to 2008 focusing on availability of alcohol: hours and days of sale and density of alcohol outlets. METHODS: Systematic review. RESULTS: Forty-four studies on density of alcohol outlets and 15 studies on hours and days of sale were identified through a systematic literature search. The majority of studies reviewed found that alcohol outlet density and hours and days of sale had an impact on one or more of the three main outcome variables, such as overall alcohol consumption, drinking patterns and damage from alcohol. CONCLUSIONS: Restricting availability of alcohol is an effective measure to prevent alcohol-attributable harm.

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Crossref · 10.1093/alcalc/agp054

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Metadata

Authors
Popova, S., Giesbrecht, N., Bekmuradov, D., & Patra, J.
Venue
Alcohol and Alcoholism
Published
2009-09-01
Volume
44
Issue
5
Pages
500-516
ISSN
  • 0735-0414 (ISSN-L)
  • 1464-3502
OpenAlex
W2155020844
Cited by
494
References
66
FWCI
2.69
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Hours and Days of Sale and Density of Alcohol Outlets: Impacts on Alcohol Consumption and Damage: A Systematic Review. https://app.cochat.ai/papers/10.1093/alcalc/agp054
The paper
Popova, S., Giesbrecht, N., Bekmuradov, D., & Patra, J. (2009). Hours and Days of Sale and Density of Alcohol Outlets: Impacts on Alcohol Consumption and Damage: A Systematic Review. Alcohol and Alcoholism. https://doi.org/10.1093/alcalc/agp054

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.