Evidence map›Paper›PMID 32298183›Full record

ArticleAmerican journal of public health2020

The Use of Small Area Estimates in Place-Based Health Research.

Amanda Y Kong, Xingyou Zhang

Abstract read
In one paragraph

Article in American journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Canadian Metadata Catalogue for Health Science Research.International journal of population data science · 2026
    Article
  6. Review
  7. Neighborhood Determinants of Health as a Composite Index: Comparing Area-Based Indices in Public Health Research.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Small Area Estimation of PSA Testing in US States and Counties.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. An investigation of inequalities in exposure to PMInternational journal of health geographics · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Amanda Y KongAmanda Y. Kong is with the Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Xingyou Zhang is with the Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration, Rockville, MD.
Xingyou ZhangAmanda Y. Kong is with the Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Xingyou Zhang is with the Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration, Rockville, MD.

Funding

Cancer Health Disparities Training ProgramT32CA128582 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SMITH, JENNIFER SUSAN, TATE, DEBORAH F. · 2009 to 2023
$3.4M
NCI NIH HHS T32 CA128582
6 · The paper itself

Abstract

Interest in the impact of the built environment on health behaviors, outcomes, and disparities is increasing, and the growing development of statistical modeling techniques has allowed researchers to better investigate these relationships. However, without enough data that are identifiable at smaller geographic levels (e.g., census tract), place-based health researchers are unable to reliably estimate the prevalence of a health outcome at these more granular and potentially more salient neighborhood levels.When reliable direct survey estimates cannot be produced because of small samples or a lack of samples, estimates based on small area estimation techniques are often used. As place-based health research and the production and secondary use of small area estimates increase, it is critical that researchers understand both the underlying methods used to create these estimates and their limitations. Without this foundation, researchers may fit inappropriate models, or interpret findings inaccurately.As a demonstrative example, we focus this discussion on the small area health indicator estimates recently produced through the 500 Cities Project by the Robert Wood Johnson Foundation, the Centers for Disease Control and Prevention (CDC), and the CDC Foundation.

Indexed as

Centers for Disease Control and Prevention, U.S.Chronic DiseaseHealth BehaviorHealthcare DisparitiesHealth Services ResearchHumansModels, StatisticalPublic HealthRisk FactorsUnited States

Identifiers

PMID32298183
PMCPMC7204458

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.