Evidence map›Paper›PMID 41250188›Full record

SynthesisBMC medicine2025

Built environment and the evolution of cardiometabolic risk factors: a systematic review and meta-analysis of longitudinal studies.

Tesfaye Regassa Feyissa, Hannah Beks, Tadesse Tolossa, Sarah M Wood, Kevin Mc Namara, Vincent L Versace, Neil T Coffee, Ralf-Dieter Schroers, Saad Alsharrah, Mark Daniel

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Tesfaye Regassa FeyissaSchool of Medicine, Faculty of Health, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia. tesfaye.feyissa@deakin.edu.au.
Hannah BeksInstitute for Health Transformation, Quality and Patient Safety, Deakin University, Warrnambool, VIC, Australia.
Tadesse TolossaDeakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia.
Sarah M WoodSchool of Medicine, Faculty of Health, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia.
Kevin Mc NamaraSchool of Medicine, Faculty of Health, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia.
Vincent L VersaceSchool of Medicine, Faculty of Health, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia.
Neil T CoffeeSchool of Medicine, Faculty of Health, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia.
Ralf-Dieter SchroersSchool of Medicine, Faculty of Health, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia.
Saad AlsharrahSchool of Medicine, Faculty of Health, Deakin Rural Health, Deakin University, Warrnambool, VIC, Australia.
Mark DanielGeohealth Laboratory, Department of Population Health, Dasman Diabetes Institute, 15462, Kuwait City, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiometabolic risk (CMR) is a monotonic if not linear continuum where, over time, incremental rises in biological risk can herald large increases in absolute disease risk and thus incident cardiometabolic disease (CMD). The built environment (BE)-green/open space, walkability, and food environment-may influence biological risk. Assessing the biological plausibility and temporal direction of such associations by linking BE features to the progression of biological indicators of CMR is essential for stronger causal inference. This review summarised longitudinal studies assessing BE factors and continuously expressed biological indicators of CMR.

methodsSix databases were searched for longitudinal studies examining associations between BE features and continuous CMR factors, including fasting plasma glucose (FPG), triglycerides, lipoproteins, total cholesterol, glycated haemoglobin (HbA1c), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Four authors screened the titles and abstracts, assessed the full text for inclusion, extracted data, and conducted quality appraisals. Associations were synthesised qualitatively, and a weighted z-score meta-analysis, incorporating study quality and sample size scores, was used to estimate the strength of the pooled evidence.

resultsSixteen longitudinal studies met inclusion criteria, with four studies examining multiple BE features. Green/open space was the most frequently examined feature (n = 9), followed by walkability (n = 8), and food environments (n = 3). Pooled weighted z-score meta-analyses showed that greater availability of green/open space environment was associated with lesser increases over time in SBP (n = 4/5, weighted z = 3.43, p < 0.001) and DBP (n = 3/3, weighted z = 2.89, p < 0.01), but findings were inconsistent for triglycerides (n = 1/2), HDL-C (n = 1/2), and FPG (n = 0/2). There was strong evidence for an association between greater walkability and lesser increases over time in SBP (n = 3/5, weighted z = 2.95, p < 0.01) and HbA1c (n = 2/2), but associations with DBP and FPG were inconsistent. Healthful food sources were associated with lesser increases over time in blood pressure, FPG and HbA1c levels (n = 1/1 for each outcome).

conclusionsThis review provides evidence for the role of the built environment in shaping CMR over time, particularly blood pressure and HbA1c, dependent on BE feature. Greater availability of green/open space environment and healthful food environment were reliably associated with a lesser progression of CMR. Evidence for walkability was inconsistent.

Indexed as

Built EnvironmentCardiometabolic Risk FactorsCardiovascular DiseasesBlood PressureHumansLongitudinal StudiesBlood pressureBuilt environmentCardiometabolic riskLongitudinal studiesSystematic review

Identifiers

PMID41250188
PMCPMC12625204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.