Urban design and cardio-metabolic risk factors

Mohammad Javad Koohsari*, Koichiro Oka, Tomoki Nakaya, Jennifer Vena, Tyler Williamson, Hude Quan, Gavin R. McCormack

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Accumulating evidence suggests that the built environment may be associated with cardiovascular disease via its influence on health behaviours. The aim of this study was to estimate the associations between traditional and novel neighbourhood built environment metrics and clinically assessed cardio-metabolic risk factors among a sample of adults in Canada. A total of 7171 participants from Albertas Tomorrow Project living in Alberta, Canada, were included. Cardio-metabolic risk factors were clinically measured. Two composite built environment metrics of traditional walkability and space syntax walkability were calculated. Among men, space syntax walkability was negatively associated with systolic and diastolic blood pressure (b = −0.87, 95% CI -1.43, −0.31 and b = −0.45, 95% CI -0.86, −0.04, respectively). Space syntax walkability was also associated with lower odds of overweight/obese among women and men (OR = 0.93, 95% CI 0.87, 0.99 and OR = 0.88, 95% CI 0.79, 0.97, respectively). No significant associations were observed between traditional walkability and cardio-metabolic outcomes. This study showed that the novel built environment metric based on the space syntax theory was associated with some cardio-metabolic risk factors.

Original languageEnglish
Article number107552
JournalPreventive Medicine
Volume173
DOIs
Publication statusPublished - 2023 Aug

Keywords

  • Built environment
  • Cardio-metabolic health
  • Cardiovascular risk factors
  • Physical environment
  • Space syntax walkability
  • Urban form

ASJC Scopus subject areas

  • Epidemiology
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Urban design and cardio-metabolic risk factors'. Together they form a unique fingerprint.

Cite this