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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Neighborhood-level disadvantage may pose risk for poor nutrition and obesity.
“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]
The opening section says neighborhood context affects access to food and health behaviors, supporting a possible risk for poor nutrition. It links disadvantaged neighborhoods to diabetes and other diseases, but does not expressly identify obesity as an outcome; obesity appears only in the title of a cited study in the References. Our copy provides no page number for these passages. (LLM, conf=0.83)
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One-Year Weight Reduction With Semaglutide or Liraglutide in Clinical Practice
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Adversity is Linked with Decreased Parent-Child Behavioral and Neural Synchrony
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Self-citationRace, Ethnicity, Neighborhood Characteristics, and In-Hospital Coronavirus Disease-2019 Mortality
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Integrating climate change induced flood risk into future population projections
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- 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 · 2017: 1 · 2012: 2
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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