Evidence map›Paper›PMID 30316306›Full record

ArticlePreventing chronic disease2018

Geographic Association Between Income Inequality and Obesity Among Adults in New York State.

Daniel Kim, Fusheng Wang, Chrisa Arcan

Abstract read
In one paragraph

Article in Preventing chronic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  7. Article
  8. Are Women's Empowerment and Income Inequality Associated with Excess Weight in Latin American Cities?Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  9. Article
  10. Article
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  12. Income Inequality and Obesity among US Adults 1999-2016: Does Sex Matter?International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Article
  15. 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

3 authors.

Daniel KimDepartment of Biomedical Informatics and Department of Computer Science, Stony Brook University, Stony Brook, New York.
Fusheng WangDepartment of Biomedical Informatics and Department of Computer Science, Stony Brook University, Stony Brook, New York.
Chrisa ArcanDepartment of Family, Population, and Preventive Medicine, Stony Brook University, Stony Brook, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn addition to economic factors and geographic area poverty, area income inequality - the extent to which income is distributed in an uneven manner across a population - has been found to influence health outcomes and obesity. We used a spatial-based approach to describe interactions between neighboring areas with the objective of generating new insights into the relationships between county-level income inequality, poverty, and obesity prevalence across New York State (NYS).

methodsWe used data from the 2015 American Community Survey and 2013 obesity estimates from the Centers for Disease Control and Prevention for NYS to examine correlations between county-level economic factors and obesity. Spatial mapping and analysis were conducted with ArcMap. Ordinary least squares modeling with adjusting variables was used to examine associations between county-level obesity percentages and county-level income inequality (Gini index). Univariate spatial analysis was conducted between obesity and Gini index, and globally weighted regression and Hot Spot Analysis were used to view spatial clustering.

resultsAlthough higher income inequality was associated with lower obesity rates, a higher percentage of poverty was associated with higher obesity rates. A higher percentage of Hispanic population was associated with lower obesity rates. When tested spatially, higher income inequality was associated with a greater decrease in obesity in southern and eastern NYS counties than in the northern and western counties, with some differences by sex present in this association.

conclusionIncreased income inequality and lower poverty percentage were significantly linked to lower obesity rates across NYS counties for men. Income inequality influence differed by geographic location. These findings indicate that in areas with high income inequality, currently unknown aspects of the environment may benefit low-income residents. Future studies should also include environmental factors possibly linked to obesity.

Indexed as

Health Status DisparitiesAdultCross-Sectional StudiesFemaleHealth SurveysHumansMaleNew YorkObesitySpatial AnalysisUnited States

Identifiers

PMID30316306
PMCPMC6198674

What OpenQuestion holds

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LicenceCC BY
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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.