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01.10.2020

Business Data Categorization and Refinement for Application in Longitudinal Neighborhood Health Research: a Methodology

verfasst von: Jana A. Hirsch, Kari A. Moore, Jesse Cahill, James Quinn, Yuzhe Zhao, Felicia J. Bayer, Andrew Rundle, Gina S. Lovasi

Erschienen in: Journal of Urban Health | Ausgabe 2/2021

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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.

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Titel: Business Data Categorization and Refinement for Application in Longitudinal Neighborhood Health Research: a Methodology
verfasst von: Jana A. Hirsch
Kari A. Moore
Jesse Cahill
James Quinn
Yuzhe Zhao
Felicia J. Bayer
Andrew Rundle
Gina S. Lovasi
Publikationsdatum: 01.10.2020
Verlag: Springer US
Erschienen in: Journal of Urban Health / Ausgabe 2/2021
Print ISSN: 1099-3460
Elektronische ISSN: 1468-2869
DOI: https://doi.org/10.1007/s11524-020-00482-2

Die Highlights vom Kongress des American College of Cardiology 2024

Springer Medizin

Business Data Categorization and Refinement for Application in Longitudinal Neighborhood Health Research: a Methodology

Abstract

Die Highlights vom Kongress des American College of Cardiology 2024

Springer Medizin

Abstract

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