Literature DB >> 22040393

Improving data accuracy of commercial food outlet databases.

Punam Ohri-Vachaspati1, Diane Martinez, Michael J Yedidia, Nirvana Petlick.   

Abstract

PURPOSE. Assessing food environments often requires using commercially available data. Disparate methods used for classifying food outlets in these databases call for creating a classification approach using common definitions. A systematic strategy for reclassifying food stores and restaurants, as they appear in commercial databases, into categories that differentiate the availability of healthy options is described here. DESIGN AND SETTING. Commercially available data on food outlets including names, addresses, North American Industry Classification System codes, and associated characteristics was obtained for five New Jersey communities. ANALYSIS. A reclassification methodology was developed using criteria and definitions from the literature to categorize food outlets based on availability of healthy options. Information in the database was supplemented by systematic Internet and key word searches, and from phone calls to food outlets. RESULTS. The methodology resulted in 622 supermarket/grocery stores, 183 convenience stores, and 148 specialty stores in the original data to be reclassified into 58 supermarkets, 30 grocery stores, 692 convenience stores, and 115 specialty stores. Outlets from the original list of 1485 full-service restaurants and 506 limited-service restaurants were reclassified as 563 full-service restaurants and 1247 limited-service restaurants. Reclassification resulted in less than one-seventh the number of supermarkets and grocery stores, more than three times the number of convenience stores, and twice as many limited-service restaurants-a much less healthy profile than the one generated by using exclusively the commercial databases. CONCLUSION. An explicit and replicable strategy is proposed for reclassifying food outlets in commercial databases into categories that differentiate on the basis of healthy food availability. The intent is to contribute towards building a consensus among researchers on definitions used in public health research for characterizing different types of food outlets.

Mesh:

Year:  2011        PMID: 22040393     DOI: 10.4278/ajhp.100120-QUAN-21

Source DB:  PubMed          Journal:  Am J Health Promot        ISSN: 0890-1171


  18 in total

1.  An examination between census tract unhealthy food availability and colorectal cancer incidence.

Authors:  Derrick C Gibson; John D Prochaska; Xiaoying Yu; Sapna Kaul
Journal:  Cancer Epidemiol       Date:  2020-06-16       Impact factor: 2.984

2.  Participation in the Supplemental Nutrition Assistance Program and Dietary Behaviors: Role of Community Food Environment.

Authors:  Cori Lorts; Natasha Tasevska; Marc A Adams; Michael J Yedidia; David Tulloch; Steven P Hooker; Punam Ohri-Vachaspati
Journal:  J Acad Nutr Diet       Date:  2019-02-08       Impact factor: 4.910

3.  Associations between food environment around schools and professionally measured weight status for middle and high school students.

Authors:  Xuyang Tang; Punam Ohri-Vachaspati; Joshua K Abbott; Rimjhim Aggarwal; David L Tulloch; Kristen Lloyd; Michael J Yedidia
Journal:  Child Obes       Date:  2014-12       Impact factor: 2.992

4.  Foodscapes of southern Ontario: neighbourhood deprivation and access to healthy and unhealthy food retail.

Authors:  Jane Y Polsky; Rahim Moineddin; Richard H Glazier; James R Dunn; Gillian L Booth
Journal:  Can J Public Health       Date:  2014-07-31

Review 5.  Measuring the food environment and its effects on obesity in the United States: a systematic review of methods and results.

Authors:  Ryan J Gamba; Joseph Schuchter; Candace Rutt; Edmund Y W Seto
Journal:  J Community Health       Date:  2015-06

6.  Predicted Impact of the Food and Drug Administration's Menu-Labeling Regulations on Restaurants in 4 New Jersey Cities.

Authors:  Jessie Gruner; Robin S DeWeese; Cori Lorts; Michael J Yedidia; Punam Ohri-Vachaspati
Journal:  Am J Public Health       Date:  2017-12-21       Impact factor: 9.308

7.  Neighborhood Racial and Socioeconomic Disparities in the Food and Alcohol Environment: Are There Differences by Commercial Data Sources?

Authors:  Dara D Mendez; Kevin H Kim; Cecily R Hardaway; Anthony Fabio
Journal:  J Racial Ethn Health Disparities       Date:  2015-05-16

8.  The relative contribution of layers of the Social Ecological Model to childhood obesity.

Authors:  Punam Ohri-Vachaspati; Derek DeLia; Robin S DeWeese; Noe C Crespo; Michael Todd; Michael J Yedidia
Journal:  Public Health Nutr       Date:  2014-11-06       Impact factor: 4.022

9.  Patterns of food and physical activity environments related to children's food and activity behaviors: A latent class analysis.

Authors:  Robin S DeWeese; Punam Ohri-Vachaspati; Marc A Adams; Jonathan Kurka; Seung Yong Han; Michael Todd; Michael J Yedidia
Journal:  Health Place       Date:  2017-11-20       Impact factor: 4.078

10.  Do minority and poor neighborhoods have higher access to fast-food restaurants in the United States?

Authors:  Peter James; Mariana C Arcaya; Devin M Parker; Reginald D Tucker-Seeley; S V Subramanian
Journal:  Health Place       Date:  2014-06-17       Impact factor: 4.078

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.