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Related Experiment Video

Updated: Jun 3, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
08:45

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

Published on: November 8, 2024

Using ZIP code business patterns data to measure alcohol outlet density.

Stephen A Matthews1, John D McCarthy, Patrick S Rafail

  • 1Department of Sociology, Penn State University, University Park, PA 16802, United States. sxm27@psu.edu

Addictive Behaviors
|March 18, 2011
PubMed
Summary
This summary is machine-generated.

ZIP Code Business Patterns (ZIP-BP) data can reliably estimate alcohol outlet density. This study found ZIP-BP data strongly correlates with official records, supporting its use in future public health research.

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Area of Science:

  • Public Health
  • Epidemiology
  • Geographic Information Systems (GIS)

Background:

  • High-quality alcohol outlet data is crucial for public health research but varies significantly across US states.
  • Existing state and local databases are often costly and difficult to access for comprehensive comparative analysis.
  • The need for accessible, reliable data sources for alcohol outlet density estimation is paramount.

Purpose of the Study:

  • To assess the adequacy of using ZIP Code Business Patterns (ZIP-BP) data as a proxy for alcohol outlet counts.
  • To compare ZIP-BP alcohol outlet estimates with high-quality, state-maintained records.
  • To determine if community and contextual factors influence the agreement between data sources.

Main Methods:

  • Compared ZIP-BP establishment data with official alcohol outlet records from 44 college campus communities across 10 states and DC.
  • Utilized Generalized Estimation Equation models to analyze concordance between data sources.
  • Examined the influence of community and contextual factors on data agreement.

Main Results:

  • A strong correlation (R=0.89) was observed between ZIP-BP alcohol outlet counts and official state records.
  • Community and contextual factors showed minimal impact on the agreement between the two data sources.
  • Inter-state differences in data agreement were also found to be minimal.

Conclusions:

  • ZIP Code Business Patterns (ZIP-BP) data is a valid and adequate secondary data source for estimating alcohol outlet densities at the ZIP code level.
  • The findings support the use of ZIP-BP data in future research due to its convenience and strong correlation with more resource-intensive datasets.
  • This research validates a cost-effective method for assessing alcohol outlet availability crucial for public health surveillance and policy.