Evidence map›Paper›PMID 28009108›Full record

ArticleObesity (Silver Spring, Md.)2017

Diabetes prevalence is associated with different community factors in the diabetes belt versus the rest of the United States.

Candice A Myers, Tim Slack, Stephanie T Broyles, Steven B Heymsfield, Timothy S Church, Corby K Martin

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  8. Alzheimer's disease and related dementias among Medicare beneficiaries aged ≥ 65 years in rural America, by Census region and select demographic characteristics: 2020.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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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 2 institutions in 1 country.

Candice A MyersPennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Tim SlackLouisiana State University, Baton Rouge, Louisiana, USA.
Stephanie T BroylesPennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Steven B HeymsfieldPennington Biomedical Research Center, Baton Rouge, Louisiana, USA.ORCID 0000-0003-1127-9425
Timothy S ChurchPennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Corby K MartinPennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Pennington Biomedical Research Center · USLouisiana State University · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Leanne Maree Redman · 2005 to 2026
$26.5M
Neighborhood Moderating Effects on Intervention Response in Cardiovascular HealthF32HL123242 · NHLBI · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI MYERS, CANDICE ALICIA · 2014 to 2017
$142k
NHLBI NIH HHS F32 HL123242NIDDK NIH HHS P30 DK072476NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

objectiveTo investigate differences in community characteristics associated with diabetes prevalence between the Diabetes Belt and the rest of the contiguous United States (U.S.)

methodsCounty-level adult diabetes prevalence estimates (i.e., percent of people [≥20 years] with diagnosed diabetes 2009) were used from the Centers for Disease Control and Prevention, in addition to data from the U.S. Census Bureau, U.S. Department of Agriculture, and U.S. Department of Health and Human Services, to carry out a spatial regime analysis to identify county-level factors correlated with diabetes prevalence in the Diabetes Belt versus the remainder of the U.S.

resultsCounties outside of the Diabetes Belt demonstrated stronger positive associations between diabetes prevalence and persistent poverty and greater percentages of unemployed labor forces. For counties in the Diabetes Belt, diabetes prevalence showed a stronger positive association with natural amenities (e.g., temperate climate and topographic features) and a stronger negative association with fitness/recreation facility density.

conclusionsCommunity-level correlates of diabetes prevalence differed between the Diabetes Belt and elsewhere in the U.S. Economic hardship was shown to be more relevant outside the Diabetes Belt, while recreational context effects were more pronounced among counties within the region. Prevention and treatment targets are geographically unique, and public health efforts should acknowledge these differences in crafting policy.

Indexed as

PovertyRecreationAdultCenters for Disease Control and Prevention, U.S.Diabetes MellitusFemaleHumansMalePrevalencePublic HealthResidence CharacteristicsRisk FactorsSocioeconomic FactorsUnemploymentUnited States

Identifiers

PMID28009108
PMCPMC5269515
OpenAlexW2562433874

What OpenQuestion holds

Textmetadata
LicenceTDM
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.