Files and links (1)
Published, Version of Record (VoR)Open Access (License Unspecified), Open
Journal article
Business Data Categorization and Refinement for Application in Longitudinal Neighborhood Health Research: a Methodology
Journal of urban health, v 98(2), pp 271-284
01 Apr 2021
PMID: 33005987
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Retail environments, such as healthcare locations, food stores, and recreation facilities, may be relevant to many health behaviors and outcomes. However, minimal guidance on how to collect, process, aggregate, and link these data results in inconsistent or incomplete measurement that can introduce misclassification bias and limit replication of existing research. We describe the following steps to leverage business data for longitudinal neighborhood health research: re-geolocating establishment addresses, preliminary classification using standard industrial codes, systematic checks to refine classifications, incorporation and integration of complementary data sources, documentation of a flexible hierarchical classification system and variable naming conventions, and linking to neighborhoods and participant residences. We show results of this classification from a dataset of locations (over 77 million establishment locations) across the contiguous U.S. from 1990 to 2014. By incorporating complementary data sources, through manual spot checks in Google StreetView and word and name searches, we enhanced a basic classification using only standard industrial codes. Ultimately, providing these enhanced longitudinal data and supplying detailed methods for researchers to replicate our work promotes consistency, replicability, and new opportunities in neighborhood health research.
Metrics
Details
- Title
- Business Data Categorization and Refinement for Application in Longitudinal Neighborhood Health Research: a Methodology
- Creators
- Jana A. Hirsch - Drexel UniversityKari A. Moore - Drexel UniversityJesse Cahill - Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY, USAJames Quinn - Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY, USAYuzhe Zhao - Drexel UniversityFelicia J. Bayer - Drexel UniversityAndrew Rundle - Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY, USAGina S. Lovasi - Drexel University
- Publication Details
- Journal of urban health, v 98(2), pp 271-284
- Publisher
- Springer Nature
- Number of pages
- 14
- Grant note
- Drexel University Dornsife School of Public Health R01HL131610 / National Heart, Lung, and Blood Institute; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) 4100072543 / Pennsylvania Department of Health 1R01AG049970; 3R01AG049970-04S1 / National Institute on Aging; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA) Urban Health Collaborative at Drexel University
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000574358400002
- Scopus ID
- 2-s2.0-85091799117
- Other Identifier
- 991019167603404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health