Evidence map›Paper›PMID 28552184›Full record

ArticleSpatial and spatio-temporal epidemiology2017

Exploring racial disparity in obesity: A mediation analysis considering geo-coded environmental factors.

Qingzhao Yu, Richard A Scribner, Claudia Leonardi, Lu Zhang, Chi Park, Liwei Chen, Neal R Simonsen

Abstract readComparative Study
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Pooled it
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  16. Being African American and Rural: A Double Jeopardy From COVID-19.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2021
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  18. COVID-19 Death Rates Are Higher in Rural Counties With Larger Shares of Blacks and Hispanics.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2020
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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

7 authors.

Qingzhao YuBiostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, 3rd floor, 2020 Gravier Street, New Orleans, LA 70112, United States. Electronic address: qyu@lsuhsc.edu.
Richard A ScribnerEpidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, United States . Electronic address: rscrib@lsuhsc.edu.
Claudia LeonardiEpidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, United States . Electronic address: cleon1@lsuhsc.edu.
Lu ZhangDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States. Electronic address: lz3@clemson.edu.
Chi ParkEpidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, United States . Electronic address: liz0817@gmail.com.
Liwei ChenDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States. Electronic address: liweic@clemson.edu.
Neal R SimonsenNew Orleans, LA, United States . Electronic address: epiman@yahoo.com.

Funding

Community Influences on NHANES Diet and Physical ActivityR01CA157565 · NCI · LSU HEALTH SCIENCES CENTER · PI SCRIBNER, RICHARD ALLEN · 2011 to 2013
$791k
NCI NIH HHS R01 CA157565
6 · The paper itself

Abstract

Research shows aconsistent racial disparity in obesity between white and black adults in the United States. Accounting for the disparity is a challenge given the variety of the contributing factors, the nature of the association, and the multilevel relationships among the factors. We used the multivariable mediation analysis (MMA) method to explore the racial disparity in obesity considering not only the individual behavior but also geospatially derived environmental risk factors. Results from generalized linear models (GLM) were compared with those from multiple additive regression trees (MART) which allow for hierarchical data structure, and fitting of nonlinear and complex interactive relationships. As results, both individual and geographically defined factors contributed to the racial disparity in obesity. MART performed better than GLM models in that MART explained a larger proportion of the racial disparity in obesity. However, there remained disparities that cannot be explained by factors collected in this study.

Indexed as

EnvironmentGeographyAdultAgedAged, 80 and overBlack or African AmericanFemaleHumansLinear ModelsMaleMiddle AgedMultivariate AnalysisObesityRacial GroupsRisk FactorsSocioeconomic FactorsMediation analysisObesityPhysical activityRacial disparity

Identifiers

PMID28552184
PMCPMC11950676

What OpenQuestion holds

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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.