Evidence map›Paper›PMID 40108373›Full record

ArticleScientific reports2025

Neighborhood walkability and cardiometabolic disease in Texas.

Mei Yang, Tiankai Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Mei YangDepartment of Health Informatics and Information Management, Texas State University, Round Rock, TX, USA. m_y71@txstate.edu.
Tiankai WangDepartment of Health Informatics and Information Management, Texas State University, Round Rock, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiometabolic diseases (CMDs) affect significant numbers of adults in the United States, with 11% diagnosed with diabetes and 10% with cardiovascular diseases. Walking plays a crucial role in reducing health risks, particularly obesity and diabetes. We aim to explore the association between neighborhood walkability and CMD measures in Texas, while controlling for age, sex, racial/ethnic background, and family history of diabetes. We collected 1994 observations for the year 2019, merging data from the Texas Behavioral Risk Factor Surveillance System and the Environmental Protection Agency. We employed multilevel linear regression and multilevel logistic regression analyses to assess the association between CMD measures and neighborhood walkability. Our findings revealed that higher neighborhood walkability is significantly associated with a lower body mass index (BMI) (β = - 0.28, CI - 0.45 to - 0.10) and a reduced risk of diabetes (OR 0.93, CI 0.86-0.99), indicating that when walkability increases by one unit, an individual's BMI decreases by 0.28 kg/m

Indexed as

Cardiovascular DiseasesDiabetes MellitusNeighborhood CharacteristicsWalkingAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedObesityResidence CharacteristicsRisk FactorsTexasBMICardiometabolic diseasesDiabetesNeighborhood walkability

Identifiers

PMID40108373
PMCPMC11923193

What Socratic holds

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LicenceCC BY
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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 Socratic graph.