Evidence map›Paper›PMID 38426538›Full record

ArticlePreventing chronic disease2024

Chronic Disease Prevalence in the US: Sociodemographic and Geographic Variations by Zip Code Tabulation Area.

Gabriel A Benavidez, Whitney E Zahnd, Peiyin Hung, Jan M Eberth

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
57.0field-weighted citation impact, top 1% of its field
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

75 citing papers in PubMed, 108 citations in OpenAlex.

  1. Trial
  2. Baseline characteristics of survivors, primary care clinicians, and oncologists in a randomized trial of a shared care, self-management intervention for cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  7. Age-Specific Risk of Herpes Zoster in Adults Aged ≥18 Years With Comorbid Conditions-A Retrospective Cohort Study in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
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  19. Beyond Rurality: Individual Socioeconomic Status and Chronic Disease Prevalence.medRxiv : the preprint server for health sciences · 2026
    Article
  20. Article

15 more citing papers are in PubMed but not listed here.

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

4 authors at 4 institutions in 1 country.

Gabriel A BenavidezBaylor University, Department of Public Health, Waco, TX 76798 (Gabriel_benavidez@baylor.edu).
Whitney E ZahndUniversity of Iowa, Department of Health Management and Policy, Iowa City, Iowa.
Peiyin HungUniversity of South Carolina, Department of Health Services Policy and Management, Columbia, South Carolina.
Jan M EberthDrexel University, Department of Health Management and Policy, Philadelphia, Pennsylvania.
Baylor University · USDrexel University · USUniversity of Iowa · USUniversity of South Carolina · US

Funding

Biomedical-Behavioral Interface: Prevention and Developmental Sciences TrainingT32GM081740 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI PRINZ, RONALD J · 2008 to 2022
$4.5M
NIGMS NIH HHS T32 GM081740
6 · The paper itself

Abstract

Introduction: We examined the geographic distribution and sociodemographic and economic characteristics of chronic disease prevalence in the US. Understanding disease prevalence and its impact on communities is crucial for effective public health interventions. Methods: Data came from the American Community Survey, the American Hospital Association Survey, and the Centers for Disease Control and Prevention's PLACES. We used quartile thresholds for 10 chronic diseases to assess chronic disease prevalence by Zip Code Tabulation Areas (ZCTAs). ZCTAs were scored from 0 to 20 based on their chronic disease prevalence quartile. Three prevalence categories were established: least prevalent (score ≤6), moderately prevalent (score 7-13), and highest prevalence (score ≥14). Community characteristics were compared across categories and spatial analyses to identify clusters of ZCTAs with high disease prevalence. Results: Our study showed a high prevalence of chronic disease in the southeastern region of the US. Populations in ZCTAs with the highest prevalence showed significantly greater socioeconomic disadvantages (ie, lower household income, lower home value, lower educational attainment, and higher uninsured rates) and barriers to health care access (lower percentage of car ownership and longer travel distances to hospital-based intensive care units, emergency departments, federally qualified health centers, and pharmacies) compared with ZCTAs with the lowest prevalence. Conclusion: Socioeconomic disparities and health care access should be addressed in communities with high chronic disease prevalence. Carefully directed resource allocation and interventions are necessary to reduce the effects of chronic disease on these communities. Policy makers and clinicians should prioritize efforts to reduce chronic disease prevalence and improve the overall health and well-being of affected communities throughout the US.

Indexed as

Health Services AccessibilityChronic DiseaseEducational StatusHumansPrevalenceSpatial AnalysisUnited States

Identifiers

PMID38426538
PMCPMC10944638
OpenAlexW4392297750

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.