Evidence map›Paper›PMID 36481391›Full record

ReviewCurrent problems in cardiology2023

Neighborhood Walkability and Cardiovascular Risk in the United States.

Mohamed H E Makhlouf, Issam Motairek, Zhuo Chen, Khurram Nasir, Salil V Deo, Sanjay Rajagopalan, Sadeer G Al-Kindi

Open access · greenAbstract readReview
In one paragraph

Review in Current problems in cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
14.7field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  5. The impact of the Social Exposome in Cardiovascular Health and Disease.Journal of precision medicine (Amsterdam, Netherlands) · 2025
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  16. The barbershop paradigm: Community engagement for cardiovascular prevention.American heart journal plus : cardiology research and practice · 2024
    Article
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  18. Review
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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 at 3 institutions in 1 country.

Mohamed H E MakhloufHarrington Heart and Vascular Institute, University Hospitals, Cleveland, OH.
Issam MotairekHarrington Heart and Vascular Institute, University Hospitals, Cleveland, OH.
Zhuo ChenHarrington Heart and Vascular Institute, University Hospitals, Cleveland, OH.
Khurram NasirHouston Methodist Hospital and Weill Cornell Medicine, Houston, TX.
Salil V DeoLouis Stokes VA Medical Center, Cleveland, OH.
Sanjay RajagopalanHarrington Heart and Vascular Institute, University Hospitals, Cleveland, OH.
Sadeer G Al-KindiHarrington Heart and Vascular Institute, University Hospitals, Cleveland, OH. Electronic address: Sadeer.Al-Kindi@uhhospitals.org.
University Hospitals of Cleveland · USCornell University · USLouis Stokes Cleveland VA Medical Center · US

Funding

ACHIEVE P3 - CHDP50MD017351 · NIMHD · WAYNE STATE UNIVERSITY · PI DAILEY, RHONDA K · 2021 to 2025
$21.1M
NIMHD NIH HHS P50 MD017351
6 · The paper itself

Abstract

Neighborhood walkability may be associated with increased physical activity and thus may confer protection against cardiovascular disease and associated risk factors. We sought to characterize the association between neighborhood-level cardiovascular diseases and risk factors with neighborhood walkability across US census tracts.We linked the Centers for Disease Control and Prevention (CDC) PLACES dataset which provided census-tract level prevalence of coronary artery disease (CAD) and cardiovascular risk factors (hypertension, high cholesterol, obesity, and diabetes), with census tract population-weighted national walkability index (NWI) from the US Environmental Protection Agency (EPA). We calculated the mean prevalence of each cardiovascular health indicator per quartile of the walkability score. We also fit a multivariable linear regression model to estimate the association between walkability index and the prevalence of CAD adjusting for age, sex, race, and the CDC'S social vulnerability index, an integrated metric of socioeconomic position. We additionally performed mediation analyses to understand the mediating effects of CAD risk factors on the relationship between NWI and CAD prevalence. A total of 70,123 census tracts were analyzed nationwide. Across walkability quartiles Q1 (least walkable) through Q4 (most walkable), we found statistically significant decrease in the prevalence of CAD (7.0% to 5.4%), and risk factors including hypertension (35.5% to 29.7%), high cholesterol (34.5% to 29.2%), obesity (35.0% to 30.2%), and diabetes (11.6% to 10.6%). After multivariable adjustment, continuous walkability index was negatively and significantly associated with the prevalence of CAD (β = -0.09, P<0.0001). The relationship between NWI and CAD is partially mediated by the risk factors. High cholesterol accounted for 45%, high blood pressure 41% and diabetes 10% of the total effect of walkability on CAD. While direct relationship between walkability and CAD accounted for 9% of the total effect. This nationwide analysis demonstrates that neighborhood walkability is associated with a lower prevalence of cardiovascular risk factors and CAD. The association between NWI and CAD seems to be partly mediated by prevalence of traditional risk factors.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseDiabetes MellitusHypertensionCholesterolHeart Disease Risk FactorsHumansObesityRisk FactorsUnited StatesWalkingCholesterol

Identifiers

PMID36481391
PMCPMC9892210
OpenAlexW4310733025

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.