Changes in Neighborhood Foodscapes From 2003 to 2023 by Area Rurality in the United States.
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| Title: | Changes in Neighborhood Foodscapes From 2003 to 2023 by Area Rurality in the United States. |
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| Authors: | Wiese, Daniel, Shams-White, Marissa M., Zheng, Zhiyuan, Henry, Kevin A., McCullough, Marjorie L., Islami, Farhad |
| Source: | American Journal of Public Health. Jul2026, Vol. 116 Issue 7, p1004-1014. 11p. |
| Subjects: | Nature, Secondary analysis, Census, Food deserts, Food security, Socioeconomic factors, Food service, Descriptive statistics, Sales personnel, Transportation, Rural conditions, Geographic information systems, Data analysis software, Neighborhood characteristics, Poverty |
| Geographic Terms: | United States |
| Abstract: | Objectives. To evaluate the change in the US foodscape from 2003 to 2023 overall and by area rurality, considering various modes of transportation. Methods. We conducted this study using longitudinal data on all licensed food retailers, geocoded to census-tract level, and examined changes in the foodscape by estimating the percentages of tracts defined as food deserts (no grocery stores) and food swamps (mostly restaurants or fast-food locations). Results. We found a considerable increase in the percentage of food swamps and no substantial progress in reducing food deserts. For example, using distance-based foodscape measure (one half of a mile from tract borders), between 2003 and 2023, the percentage of tracts categorized as food swamps increased from 80.2% to 88.5%, while the percentage of food deserts decreased minimally from 6.1% to 5.5%. Across all years, the percentage of food deserts was substantially higher in rural areas, and when people used public transit as a mode of transportation. Conclusions. The findings underscore the need for improving accessibility to healthy foods across the United States, particularly in rural areas. Public Health Implications. Expanding public–private partnerships to establish healthy food retailers in food deserts may improve the foodscape quality. (Am J Public Health. 2026;116(7):1004–1014. https://doi.org/10.2105/AJPH.2026.308495) [ABSTRACT FROM AUTHOR] |
| Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 194643732 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Changes in Neighborhood Foodscapes From 2003 to 2023 by Area Rurality in the United States. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wiese%2C+Daniel%22">Wiese, Daniel</searchLink><br /><searchLink fieldCode="AR" term="%22Shams-White%2C+Marissa+M%2E%22">Shams-White, Marissa M.</searchLink><br /><searchLink fieldCode="AR" term="%22Zheng%2C+Zhiyuan%22">Zheng, Zhiyuan</searchLink><br /><searchLink fieldCode="AR" term="%22Henry%2C+Kevin+A%2E%22">Henry, Kevin A.</searchLink><br /><searchLink fieldCode="AR" term="%22McCullough%2C+Marjorie+L%2E%22">McCullough, Marjorie L.</searchLink><br /><searchLink fieldCode="AR" term="%22Islami%2C+Farhad%22">Islami, Farhad</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. Jul2026, Vol. 116 Issue 7, p1004-1014. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Nature%22">Nature</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+analysis%22">Secondary analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Census%22">Census</searchLink><br /><searchLink fieldCode="DE" term="%22Food+deserts%22">Food deserts</searchLink><br /><searchLink fieldCode="DE" term="%22Food+security%22">Food security</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Food+service%22">Food service</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Sales+personnel%22">Sales personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Transportation%22">Transportation</searchLink><br /><searchLink fieldCode="DE" term="%22Rural+conditions%22">Rural conditions</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Neighborhood+characteristics%22">Neighborhood characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Poverty%22">Poverty</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objectives. To evaluate the change in the US foodscape from 2003 to 2023 overall and by area rurality, considering various modes of transportation. Methods. We conducted this study using longitudinal data on all licensed food retailers, geocoded to census-tract level, and examined changes in the foodscape by estimating the percentages of tracts defined as food deserts (no grocery stores) and food swamps (mostly restaurants or fast-food locations). Results. We found a considerable increase in the percentage of food swamps and no substantial progress in reducing food deserts. For example, using distance-based foodscape measure (one half of a mile from tract borders), between 2003 and 2023, the percentage of tracts categorized as food swamps increased from 80.2% to 88.5%, while the percentage of food deserts decreased minimally from 6.1% to 5.5%. Across all years, the percentage of food deserts was substantially higher in rural areas, and when people used public transit as a mode of transportation. Conclusions. The findings underscore the need for improving accessibility to healthy foods across the United States, particularly in rural areas. Public Health Implications. Expanding public–private partnerships to establish healthy food retailers in food deserts may improve the foodscape quality. (Am J Public Health. 2026;116(7):1004–1014. https://doi.org/10.2105/AJPH.2026.308495) [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2105/AJPH.2026.308495 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1004 Subjects: – SubjectFull: Nature Type: general – SubjectFull: Secondary analysis Type: general – SubjectFull: Census Type: general – SubjectFull: Food deserts Type: general – SubjectFull: Food security Type: general – SubjectFull: Socioeconomic factors Type: general – SubjectFull: Food service Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Sales personnel Type: general – SubjectFull: Transportation Type: general – SubjectFull: Rural conditions Type: general – SubjectFull: Geographic information systems Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Neighborhood characteristics Type: general – SubjectFull: Poverty Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Changes in Neighborhood Foodscapes From 2003 to 2023 by Area Rurality in the United States. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wiese, Daniel – PersonEntity: Name: NameFull: Shams-White, Marissa M. – PersonEntity: Name: NameFull: Zheng, Zhiyuan – PersonEntity: Name: NameFull: Henry, Kevin A. – PersonEntity: Name: NameFull: McCullough, Marjorie L. – PersonEntity: Name: NameFull: Islami, Farhad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00900036 Numbering: – Type: volume Value: 116 – Type: issue Value: 7 Titles: – TitleFull: American Journal of Public Health Type: main |
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