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Journal article
A method for estimating neighborhood characterization in studies of the association with availability of sit-down restaurants and supermarkets
International journal of health geographics, v 20(1), pp 15-15
25 Mar 2021
PMID: 33766045
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Although neighborhood-level access to food differs by sociodemographic factors, a majority of research on neighborhoods and food access has used a single construct of neighborhood context, such as income or race. Therefore, the many interrelated built environment and sociodemographic characteristics of neighborhoods obscure relationships between neighborhood factors and food access.
The objective of this study was to account for the many interrelated characteristics of food-related neighborhood environments and examine the association between neighborhood type and relative availability of sit-down restaurants and supermarkets. Using cluster analyses with multiple measures of neighborhood characteristics (e.g., population density, mix of land use, and sociodemographic factors) we identified six neighborhood types in 1993 in the Twin Cities Region, Minnesota. We then used mixed effects regression models to estimate differences in the relative availability of sit-down restaurants and supermarkets in 1993, 2001, and 2011 across the six neighborhood types.
We defined six types of neighborhoods that existed in 1993, namely, urban core, inner city, urban, aging suburb, high-income suburb, and suburban edge. Between 1993 and 2011, inner city neighborhoods experienced a greater increase in the percent of sit-down restaurants compared with urban core, urban, and aging suburbs. Differences in the percent of sit-down restaurants between inner city and aging suburbs, high-income suburbs and suburban edge neighborhoods increased between 1993 and 2011. Similarly, aging suburb neighborhoods had a greater percent of supermarkets compared with urban and high-income suburb neighborhoods in 2001 and 2011, but not in 1993, suggesting a more varied distribution of food stores across neighborhoods over time. Thus, the classification of neighborhood type based on sociodemographic and built environment characteristics resulted in a complex and increasingly varied distribution of restaurants and food stores.
The temporal increase in the relative availability of sit-down restaurants in inner cities after accounting for all restaurants might be partly related to a higher proportion of residents who eat-away-from-home, which is associated with higher calorie and fat intake.
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Details
- Title
- A method for estimating neighborhood characterization in studies of the association with availability of sit-down restaurants and supermarkets
- Creators
- Ke Peng - University of North Carolina at Chapel HillDaniel A Rodriguez - Department of City and Regional Planning and Institute of Transportation Studies, University of California, Berkeley, Berkeley, CA, USA.Jana A Hirsch - Drexel UniversityPenny Gordon-Larsen - University of North Carolina at Chapel Hill
- Publication Details
- International journal of health geographics, v 20(1), pp 15-15
- Publisher
- Springer BMC
- Grant note
- HHSN268201800003I / NHLBI NIH HHS HHSN268201800004I / NHLBI NIH HHS P2C HD050924 / NICHD NIH HHS HHSN268201300025C / NHLBI NIH HHS R01 HL104580 / NHLBI NIH HHS P30 ES010126 / NIEHS NIH HHS R01 HL143885 / NHLBI NIH HHS R01 HL114091 / NHLBI NIH HHS HHSN268201800005I / NHLBI NIH HHS HHSN268201800006I / NHLBI NIH HHS HHSN268201800007I / NHLBI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000632898300001
- Scopus ID
- 2-s2.0-85103424377
- Other Identifier
- 991019168792104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health