Evidence map›Paper›PMID 38983386›Full record

ArticleJACC. CardioOncology2024

Neighborhood Walkability Is Associated With Lower Burden of Cardiovascular Risk Factors Among Cancer Patients.

Nwabunie Nwana, Omar Mohamed Makram, Juan C Nicolas, Alan Pan, Rakesh Gullapelli, Tarang Parekh, Zulqarnain Javed, Anoop Titus, Sadeer Al-Kindi, Jian Guan and 5 more

Abstract read
In one paragraph

Article in JACC. CardioOncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Tackling the Cardio-Kidney-Metabolic Burden in Cancer.Current atherosclerosis reports · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
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

15 authors.

Nwabunie NwanaCenter for Health and Nature, Houston Methodist Research Institute, Houston, Texas, USA.
Omar Mohamed MakramCenter for Health and Nature, Houston Methodist Research Institute, Houston, Texas, USA.
Juan C NicolasCenter for Health Data Science and Analytics, Houston Methodist Research Institute, Houston, Texas, USA.
Alan PanCenter for Health Data Science and Analytics, Houston Methodist Research Institute, Houston, Texas, USA.
Rakesh GullapelliCenter for Health Data Science and Analytics, Houston Methodist Research Institute, Houston, Texas, USA.
Tarang ParekhCenter for Health Data Science and Analytics, Houston Methodist Research Institute, Houston, Texas, USA.
Zulqarnain JavedCenter for Health Data Science and Analytics, Houston Methodist Research Institute, Houston, Texas, USA.
Anoop TitusDepartment of Internal Medicine, Saint Vincent Hospital, Worcester, Massachusetts, USA.
Sadeer Al-KindiCenter for Health and Nature, Houston Methodist Research Institute, Houston, Texas, USA.
Jian GuanNeal Cancer Center, Houston Methodist, Houston, Texas, USA.
Kai SunNeal Cancer Center, Houston Methodist, Houston, Texas, USA.
Stephen L JonesCenter for Health Data Science and Analytics, Houston Methodist Research Institute, Houston, Texas, USA.
Jay E MaddockCenter for Health and Nature, Houston Methodist Research Institute, Houston, Texas, USA.
Jenny ChangNeal Cancer Center, Houston Methodist, Houston, Texas, USA.
Khurram NasirCenter for Health Data Science and Analytics, Houston Methodist Research Institute, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Modifiable cardiovascular risk factors constitute a significant cause of cardiovascular disease and mortality among patients with cancer. Recent studies suggest a potential link between neighborhood walkability and favorable cardiovascular risk factor profiles in the general population. Objectives: This study aimed to investigate whether neighborhood walkability is correlated with favorable cardiovascular risk factor profiles among patients with a history of cancer. Methods: We conducted a cross-sectional study using data from the Houston Methodist Learning Health System Outpatient Registry (2016-2022) comprising 1,171,768 adults aged 18 years and older. Neighborhood walkability was determined using the 2019 Walk Score and divided into 4 categories. Patients with a history of cancer were identified through International Classification of Diseases-10th Revision-Clinical Modification codes (C00-C96). We examined the prevalence and association between modifiable cardiovascular risk factors (hypertension, diabetes, smoking, dyslipidemia, and obesity) and neighborhood walkability categories in cancer patients. Results: The study included 121,109 patients with a history of cancer; 56.7% were female patients, and 68.8% were non-Hispanic Whites, with a mean age of 67.3 years. The prevalence of modifiable cardiovascular risk factors was lower among participants residing in the most walkable neighborhoods compared with those in the least walkable neighborhoods (76.7% and 86.0%, respectively). Patients with a history of cancer living in very walkable neighborhoods were 16% less likely to have any risk factor compared with car-dependent-all errands neighborhoods (adjusted OR: 0.84, 95% CI: 0.78-0.92). Sensitivity analyses considering the timing of events yielded similar results. Conclusions: Our findings demonstrate an association between neighborhood walkability and the burden of modifiable cardiovascular risk factors among patients with a medical history of cancer. Investments in walkable neighborhoods may present a viable opportunity for mitigating the growing burden of modifiable cardiovascular risk factors among patients with a history of cancer.

Indexed as

cancercardiovascular riskwalkabilityWalk Score

Identifiers

PMID38983386
PMCPMC11229549

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Registered trials

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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.