Classification bias in commercial business lists for retail food stores in the U.S.

<p>Abstract</p> <p>Background</p> <p>Aspects of the food environment such as the availability of different types of food stores have recently emerged as key modifiable factors that may contribute to the increased prevalence of obesity. Given that many of these studies h...

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Main Authors: Han Euna, Powell Lisa M, Zenk Shannon N, Rimkus Leah, Ohri-Vachaspati Punam, Chaloupka Frank J
Format: Article
Language:English
Published: BMC 2012-04-01
Series:International Journal of Behavioral Nutrition and Physical Activity
Subjects:
Online Access:http://www.ijbnpa.org/content/9/1/46
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author Han Euna
Powell Lisa M
Zenk Shannon N
Rimkus Leah
Ohri-Vachaspati Punam
Chaloupka Frank J
author_facet Han Euna
Powell Lisa M
Zenk Shannon N
Rimkus Leah
Ohri-Vachaspati Punam
Chaloupka Frank J
author_sort Han Euna
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>Aspects of the food environment such as the availability of different types of food stores have recently emerged as key modifiable factors that may contribute to the increased prevalence of obesity. Given that many of these studies have derived their results based on secondary datasets and the relationship of food stores with individual weight outcomes has been reported to vary by store type, it is important to understand the extent to which often-used secondary data correctly classify food stores. We evaluated the classification bias of food stores in Dun & Bradstreet (D&B) and InfoUSA commercial business lists.</p> <p>Methods</p> <p>We performed a full census in 274 randomly selected census tracts in the Chicago metropolitan area and collected detailed store attributes inside stores for classification. Store attributes were compared by classification match status and store type. Systematic classification bias by census tract characteristics was assessed in multivariate regression.</p> <p>Results</p> <p>D&B had a higher classification match rate than InfoUSA for supermarkets and grocery stores, while InfoUSA was higher for convenience stores. Both lists were more likely to correctly classify large supermarkets, grocery stores, and convenience stores with more cash registers and different types of service counters (supermarkets and grocery stores only). The likelihood of a correct classification match for supermarkets and grocery stores did not vary systemically by tract characteristics whereas convenience stores were more likely to be misclassified in predominately Black tracts.</p> <p>Conclusion</p> <p>Researches can rely on classification of food stores in commercial datasets for supermarkets and grocery stores whereas classifications for convenience and specialty food stores are subject to some systematic bias by neighborhood racial/ethnic composition.</p>
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spelling doaj.art-2ee51ab3364e4038ac94066c56661b0a2022-12-22T01:45:34ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682012-04-01914610.1186/1479-5868-9-46Classification bias in commercial business lists for retail food stores in the U.S.Han EunaPowell Lisa MZenk Shannon NRimkus LeahOhri-Vachaspati PunamChaloupka Frank J<p>Abstract</p> <p>Background</p> <p>Aspects of the food environment such as the availability of different types of food stores have recently emerged as key modifiable factors that may contribute to the increased prevalence of obesity. Given that many of these studies have derived their results based on secondary datasets and the relationship of food stores with individual weight outcomes has been reported to vary by store type, it is important to understand the extent to which often-used secondary data correctly classify food stores. We evaluated the classification bias of food stores in Dun & Bradstreet (D&B) and InfoUSA commercial business lists.</p> <p>Methods</p> <p>We performed a full census in 274 randomly selected census tracts in the Chicago metropolitan area and collected detailed store attributes inside stores for classification. Store attributes were compared by classification match status and store type. Systematic classification bias by census tract characteristics was assessed in multivariate regression.</p> <p>Results</p> <p>D&B had a higher classification match rate than InfoUSA for supermarkets and grocery stores, while InfoUSA was higher for convenience stores. Both lists were more likely to correctly classify large supermarkets, grocery stores, and convenience stores with more cash registers and different types of service counters (supermarkets and grocery stores only). The likelihood of a correct classification match for supermarkets and grocery stores did not vary systemically by tract characteristics whereas convenience stores were more likely to be misclassified in predominately Black tracts.</p> <p>Conclusion</p> <p>Researches can rely on classification of food stores in commercial datasets for supermarkets and grocery stores whereas classifications for convenience and specialty food stores are subject to some systematic bias by neighborhood racial/ethnic composition.</p>http://www.ijbnpa.org/content/9/1/46Commercial business listsFood storesClassification error
spellingShingle Han Euna
Powell Lisa M
Zenk Shannon N
Rimkus Leah
Ohri-Vachaspati Punam
Chaloupka Frank J
Classification bias in commercial business lists for retail food stores in the U.S.
International Journal of Behavioral Nutrition and Physical Activity
Commercial business lists
Food stores
Classification error
title Classification bias in commercial business lists for retail food stores in the U.S.
title_full Classification bias in commercial business lists for retail food stores in the U.S.
title_fullStr Classification bias in commercial business lists for retail food stores in the U.S.
title_full_unstemmed Classification bias in commercial business lists for retail food stores in the U.S.
title_short Classification bias in commercial business lists for retail food stores in the U.S.
title_sort classification bias in commercial business lists for retail food stores in the u s
topic Commercial business lists
Food stores
Classification error
url http://www.ijbnpa.org/content/9/1/46
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AT powelllisam classificationbiasincommercialbusinesslistsforretailfoodstoresintheus
AT zenkshannonn classificationbiasincommercialbusinesslistsforretailfoodstoresintheus
AT rimkusleah classificationbiasincommercialbusinesslistsforretailfoodstoresintheus
AT ohrivachaspatipunam classificationbiasincommercialbusinesslistsforretailfoodstoresintheus
AT chaloupkafrankj classificationbiasincommercialbusinesslistsforretailfoodstoresintheus