Evidence map›Paper›PMID 33912784›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2021

Associations between air pollution indicators and prevalent and incident diabetes in an African American cohort, the Jackson Heart Study.

Anne M Weaver, Aurelian Bidulescu, Gregory A Wellenius, DeMarc A Hickson, Mario Sims, Ambarish Vaidyanathan, Wen-Chih Wu, Adolfo Correa, Yi Wang

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Observational
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

9 authors.

Anne M WeaverCenter for Public Health and Environmental Assessment, United States Environmental Protection Agency, Chapel Hill, North Carolina.
Aurelian BidulescuDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, Indiana.
Gregory A WelleniusDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.
DeMarc A HicksonDepartment of Epidemiology and Biostatistics, School of Public Health, Jackson State University, Jackson, Mississippi.
Mario SimsDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi.
Ambarish VaidyanathanGeorgia Institute of Technology, Atlanta, Georgia.
Wen-Chih WuBrown University School of Public Health, Providence, Rhode Island.
Adolfo CorreaDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi.
Yi WangDepartment of Environmental Health, Indianapolis, Fairbanks School of Public Health, Indiana University, Indiana.

Funding

NHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800015INIMHD NIH HHS HHSN268201800013I
6 · The paper itself

Abstract

backgroundDiabetes is especially prevalent among African Americans. Prior studies suggest that long-term exposure to ambient air pollution may be associated with greater incidence of diabetes, but results remain heterogeneous. Few studies have included large numbers of African Americans.

methodsWe assessed diabetes status and concentrations of 1- and 3-year fine particulate matter (PM

resultsWe observed associations between incident diabetes and interquartile range increase in 1-year O

conclusionsOur results provide some evidence of positive associations between indicators of long-term PM

Indexed as

African AmericansAir pollutionDiabetesFine particulate matterOzone

Identifiers

PMID33912784
PMCPMC8078431

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.