Evidence map›Paper›PMID 26940300›Full record

Observational studyPreventing chronic disease2016

Assessment of Factors Contributing to Health Outcomes in the Eight States of the Mississippi Delta Region.

Keith P Gennuso, Amanda Jovaag, Bridget B Catlin, Matthew Rodock, Hyojun Park

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Preventing chronic disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 40 citations in OpenAlex.

  1. Results of an asthma education program delivered via telemedicine in rural schools.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2018
    Trial
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  7. Perspectives of cancer prevention and control resources from stakeholders in rural southern Illinois.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
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  10. The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States.International journal of environmental research and public health · 2021
    Review
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  15. Rural Women's Perceptions About Cancer Disparities and Contributing Factors: a Call to Communication.Journal of cancer education : the official journal of the American Association for Cancer Education · 2018
    Article
  16. 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

5 authors at 2 institutions in 2 countries.

Keith P GennusoUniversity of Wisconsin Population Health Institute, 575C WARF Office Building, 610 Walnut St, Madison, WI 53726. Email: gennuso@wisc.edu.
Amanda JovaagUniversity of Wisconsin Population Health Institute, University of Wisconsin, Madison, Wisconsin.
Bridget B CatlinUniversity of Wisconsin Population Health Institute, University of Wisconsin, Madison, Wisconsin.
Matthew RodockUniversity of Wisconsin Population Health Institute, University of Wisconsin, Madison, Wisconsin.
Hyojun ParkDepartment of Population Health Sciences, University of Wisconsin, Madison, Wisconsin.
CT Group Of Institutions · INUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this observational study was to examine the key contributors to health outcomes and to better understand the health disparities between Delta and non-Delta counties in 8 states in the Mississippi River Delta Region. We hypothesized that a unique set of contributors to health outcomes in the Delta counties could explain the disparities between Delta and non-Delta counties.

methodsData were from the 2014 County Health Rankings for counties in 8 states (Alabama, Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, and Tennessee). We used the Delta Regional Authority definition to identify the 252 Delta counties and 468 non-Delta counties or county equivalents. Information on health factors (eg, health behaviors, clinical care) and outcomes (eg, mortality) were derived from 38 measures from the 2014 County Health Rankings. The contributions of health factors to health outcomes in Delta and non-Delta counties were examined using path analysis.

resultsWe found similarities between Delta counties and non-Delta counties in the health factors (eg, tobacco use, diet and exercise) that significantly predicted the health outcomes of self-rated health and low birthweight. The most variation was seen in predictors of mortality; however, Delta counties shared 2 of the 3 significant predictors (ie, community safety and income) of mortality with non-Delta counties. On average across all measures, values in the Delta were 16% worse than in the non-Delta and 22% worse than in the rest of the United States.

conclusionThe health status of Delta counties is poorer than that of non-Delta counties because the health factors that contribute to health outcomes in the entire region are worse in the Delta counties, not because of a unique set of health predictors.

Indexed as

Health Status DisparitiesInfant, Low Birth WeightMortalityAlabamaArkansasEnvironmentHumansIllinoisKentuckyLouisianaMississippiMissouriSelf ReportSocioeconomic FactorsTennessee

Identifiers

PMID26940300
PMCPMC4778371
OpenAlexW2291661738

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.