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Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas
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Interview with Dr. Amy Kind on a new tool for incorporating data on neighborhood disadvantage into research, policy, and health interventions. (15:45)Download Better understanding of variations in neighborhood disadvantage could lead to improved insight into the sociobiologic mechanisms that underlie health disparities, which could, in turn, facilitate the development of improved therapeutics and interventions.
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“In addition to state-level racism, neighborhood-level disadvantage may also pose risk for poor nutrition and obesity.”
From Intersections of Structural State-Level Racism and Neighborhood Deprivation on Nutrition and Obesity for Black Adolescents (2025) · cites this paper as [22]
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Metadata
- Authors
- Kind, A. J. H., & Buckingham, W. R.
- Affiliations
- University of Wisconsin–Madison (US)
- ORCID
- Kind, Amy J.H.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2018-06-28
- Volume
- 378
- Issue
- 26
- Pages
- 2456-2458
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC6051533
- OpenAlex
- W2810551427
- Cited by
- 3,310
- References
- 6
- Citations by year
- 2026: 646 · 2025: 767 · 2024: 693 · 2023: 490 · 2022: 382 · 2021: 197 · 2020: 91 · 2019: 33 · 2018: 3
- FWCI
- 86.73
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (RF1AG057784)
- National Institute on Minority Health and Health Disparities (R01MD010243)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
- Social Sciences › Sociology and Political Science › Environmental Justice and Health Disparities
- Keywords
- neighborhood disadvantage, health disparities, health interventions, social determinants of health, data accessibility
- MeSH terms
- Humans, Poverty Areas, Residence Characteristics, Socioeconomic Factors, Health Status Disparities, Healthcare Disparities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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