Literature DB >> 24742811

Field validation of secondary data sources for enumerating retail tobacco outlets in a state without tobacco outlet licensing.

Heather D'Angelo1, Sheila Fleischhacker2, Shyanika W Rose3, Kurt M Ribisl4.   

Abstract

Identifying tobacco retail outlets for U.S. FDA compliance checks or calculating tobacco outlet density is difficult in the 13 States without tobacco retail licensing or where licensing lists are unavailable for research. This study uses primary data collection to identify tobacco outlets in three counties in a non-licensing state and validate two commercial secondary data sources. We calculated sensitivity and positive predictive values (PPV) to examine the evidence of validity for two secondary data sources, and conducted a geospatial analysis to determine correct allocation to census tract. ReferenceUSA had almost perfect sensitivity (0.82) while Dun & Bradstreet (D&B) had substantial sensitivity (0.69) for identifying tobacco outlets; combined, sensitivity improved to 0.89. D&B identified fewer "false positives" with a PPV of 0.82 compared to 0.71 for ReferenceUSA. More than 90% of the outlets identified by ReferenceUSA were geocoded to the correct census tract. Combining two commercial data sources resulted in enumeration of nearly 90% of tobacco outlets in a three county area. Commercial databases appear to provide a reasonably accurate way to identify tobacco outlets for enforcement operations and density estimation.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Commercial secondary data; Evidence for validity; Tobacco outlets

Mesh:

Year:  2014        PMID: 24742811      PMCID: PMC4218843          DOI: 10.1016/j.healthplace.2014.03.006

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  30 in total

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3.  Measuring potential access to food stores and food-service places in rural areas in the U.S.

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Journal:  Am J Prev Med       Date:  2009-04       Impact factor: 5.043

4.  The relationship of point-of-sale tobacco advertising and neighborhood characteristics to underage sales of tobacco.

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Journal:  Eval Health Prof       Date:  2012-05-21       Impact factor: 2.651

Review 5.  Built environments and obesity in disadvantaged populations.

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Journal:  Epidemiol Rev       Date:  2009-07-09       Impact factor: 6.222

6.  Field validation of secondary commercial data sources on the retail food outlet environment in the U.S.

Authors:  Lisa M Powell; Euna Han; Shannon N Zenk; Tamkeen Khan; Christopher M Quinn; Kevin P Gibbs; Oksana Pugach; Dianne C Barker; Elissa A Resnick; Jaana Myllyluoma; Frank J Chaloupka
Journal:  Health Place       Date:  2011-06-02       Impact factor: 4.078

7.  Tobacco outlet density, cigarette smoking prevalence, and demographics at the county level of analysis.

Authors:  N Andrew Peterson; John B Lowe; Robert J Reid
Journal:  Subst Use Misuse       Date:  2005       Impact factor: 2.164

8.  Tobacco outlet density and demographics at the tract level of analysis in Iowa: implications for environmentally based prevention initiatives.

Authors:  John E Schneider; Robert J Reid; N Andrew Peterson; John B Lowe; Joseph Hughey
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9.  Validation of 3 food outlet databases: completeness and geospatial accuracy in rural and urban food environments.

Authors:  Angela D Liese; Natalie Colabianchi; Archana P Lamichhane; Timothy L Barnes; James D Hibbert; Dwayne E Porter; Michele D Nichols; Andrew B Lawson
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10.  Is adolescent smoking related to the density and proximity of tobacco outlets and retail cigarette advertising near schools?

Authors:  Lisa Henriksen; Ellen C Feighery; Nina C Schleicher; David W Cowling; Randolph S Kline; Stephen P Fortmann
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  31 in total

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2.  Health claims made in vape shops: an observational study and content analysis.

Authors:  Kimberly G Wagoner; Micah Berman; Shyanika W Rose; Eunyoung Song; Jennifer Cornacchione Ross; Elizabeth G Klein; Dannielle E Kelley; Jessica L King; Mark Wolfson; Erin L Sutfin
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3.  How Is Exposure to Tobacco Outlets Within Activity Spaces Associated With Daily Tobacco Use Among Youth? A Mediation Analysis.

Authors:  Sarah D Kowitt; Sharon Lipperman-Kreda
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4.  A comparison of three policy approaches for tobacco retailer reduction.

Authors:  Allison E Myers; Marissa G Hall; Lisa F Isgett; Kurt M Ribisl
Journal:  Prev Med       Date:  2015-02-14       Impact factor: 4.018

5.  Is There a Relationship Between the Concentration of Same-Sex Couples and Tobacco Retailer Density?

Authors:  Joseph G L Lee; William K Pan; Lisa Henriksen; Adam O Goldstein; Kurt M Ribisl
Journal:  Nicotine Tob Res       Date:  2015-03-05       Impact factor: 4.244

6.  Youth daily exposure to tobacco outlets and cigarette smoking behaviors: does exposure within activity space matter?

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Journal:  Addiction       Date:  2020-03-07       Impact factor: 6.526

7.  Inequalities in tobacco outlet density by race, ethnicity and socioeconomic status, 2012, USA: results from the ASPiRE Study.

Authors:  Joseph G L Lee; Dennis L Sun; Nina M Schleicher; Kurt M Ribisl; Douglas A Luke; Lisa Henriksen
Journal:  J Epidemiol Community Health       Date:  2017-03-01       Impact factor: 3.710

8.  Tobacco outlet density near home and school: Associations with smoking and norms among US teens.

Authors:  Nina C Schleicher; Trent O Johnson; Stephen P Fortmann; Lisa Henriksen
Journal:  Prev Med       Date:  2016-08-26       Impact factor: 4.018

9.  Sociodemographic Disparities in Proximity of Schools to Tobacco Outlets and Fast-Food Restaurants.

Authors:  Heather D'Angelo; Alice Ammerman; Penny Gordon-Larsen; Laura Linnan; Leslie Lytle; Kurt M Ribisl
Journal:  Am J Public Health       Date:  2016-07-26       Impact factor: 9.308

10.  Discrepancies in Local, State, and National Alcohol Outlet Listings: Implications for Research and Interventions.

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