Evidence map›Paper›PMID 37053158›Full record

ArticlePloS one2023

Income-related inequalities in diagnosed diabetes prevalence among US adults, 2001-2018.

Yu Chen, Xilin Zhou, Kai McKeever Bullard, Ping Zhang, Giuseppina Imperatore, Deborah B Rolka

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
12.7field-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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Machine Learning Based County Level Phenotypes Related to Diabetes Prevalence.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  7. CAUTIon - not all UTIs are the same.Nature reviews. Urology · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Mortality from type 2 diabetes mellitus across municipalities in Mexico.Archives of public health = Archives belges de sante publique · 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

6 authors at 1 institution in 1 country.

Yu ChenDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.ORCID 0000-0002-4888-7451
Xilin ZhouDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Kai McKeever BullardDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Ping ZhangDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Giuseppina ImperatoreDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Deborah B RolkaDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Centers for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe overall prevalence of diabetes has increased over the past two decades in the United States, disproportionately affecting low-income populations. We aimed to examine the trends in income-related inequalities in diabetes prevalence and to identify the contributions of determining factors.

methodsWe estimated income-related inequalities in diagnosed diabetes during 2001-2018 among US adults aged 18 years or older using data from the National Health Interview Survey (NHIS). The concentration index was used to measure income-related inequalities in diabetes and was decomposed into contributing factors. We then examined temporal changes in diabetes inequality and contributors to those changes over time.

resultsResults showed that income-related inequalities in diabetes, unfavorable to low-income groups, persisted throughout the study period. The income-related inequalities in diabetes decreased during 2001-2011 and then increased during 2011-2018. Decomposition analysis revealed that income, obesity, physical activity levels, and race/ethnicity were important contributors to inequalities in diabetes at almost all time points. Moreover, changes regarding age and income were identified as the main factors explaining changes in diabetes inequalities over time.

conclusionsDiabetes was more prevalent in low-income populations. Our study contributes to understanding income-related diabetes inequalities and could help facilitate program development to prevent type 2 diabetes and address modifiable factors to reduce diabetes inequalities.

Indexed as

Diabetes Mellitus, Type 2AdultHealth Status DisparitiesHumansIncomePrevalenceSocioeconomic Factors

Identifiers

PMID37053158
PMCPMC10101461
OpenAlexW4365443782

What OpenQuestion holds

Textmetadata
LicenceCC0
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.