Evidence map›Paper›PMID 35446759›Full record

ArticlePreventing chronic disease2022

Individual and Neighborhood Influences on the Relationship Between Waist Circumference and Coronary Heart Disease in the REasons for Geographic and Racial Differences in Stroke Study.

Anne H Gaglioti, Desiree Rivers, Joanna Bryan Ringel, Suzanne Judd, Monika M Safford

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Measuring Spatial Social Polarization in Public Health Research: A Scoping Review of Methods and Applications.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  4. Article
  5. Article
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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

5 authors at 3 institutions in 1 country.

Anne H GagliotiNational Center for Primary Care, Department of Family Medicine, Morehouse School of Medicine, Atlanta, Georgia.
Desiree RiversDepartment of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, Georgia.
Joanna Bryan RingelDepartment of Medicine, Division of General Internal Medicine, Weill Cornell School of Medicine, New York, New York.
Suzanne JuddDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama.
Monika M SaffordDepartment of Medicine, Division of General Internal Medicine, Weill Cornell School of Medicine, New York, New York.
Cornell University · USMorehouse School of Medicine · USUniversity of Alabama at Birmingham · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
REGARDS - MI StudyR01HL080477 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2006 to 2020
$11.6M
Building Capacity for Cardiometabolic Outcomes ResearchK24HL111154 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SAFFORD, MONIKA M · 2012 to 2015
$556k
NHLBI NIH HHS K24 HL111154NHLBI NIH HHS R01 HL080477NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

introductionThe objective of this study was to describe how the relationship between waist circumference and incident coronary heart disease (CHD) is influenced by individual and neighborhood factors in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

methodsREGARDS is a cohort study of 30,239 US adults. The primary exposure was sex-specific quartiles of waist circumference. Individual covariates included sociodemographic characteristics, health status, health behavior, and usual source of care. Neighborhood (ie, zip code-level) covariates included access to primary care, poverty, rurality, and racial segregation. The main outcome was incident CHD from baseline (2003) through 2017. We used descriptive statistics, Kaplan-Meier curves, and Cox proportional hazard models to analyze the overall sample and race-sex subgroups.

resultsDuring the study period, 23,042 study participants had 1,499 CHD events. We found a higher risk of incident CHD in the upper quartile of waist circumference compared with the first quartile in all 4 race-sex subgroups except African American men, among whom we found no relationship between waist circumference and incident CHD. Covariates did not attenuate these relationships.

conclusionIn all groups except African American men, waist circumference in the highest quartile was associated with increased risk of incident CHD. Individual and neighborhood factors did not influence the relationship between waist circumference and development of CHD but differentially influenced incident CHD among race-sex subgroups.

Indexed as

Coronary DiseaseStrokeAdultCohort StudiesFemaleHumansIncidenceMaleRace FactorsRisk FactorsWaist Circumference

Identifiers

PMID35446759
PMCPMC9044900
OpenAlexW4224276268

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.