Abstract

This paper studies the correlation between built environment factors and the prevalence of hypertension in Wuhan, a typical city in central China. Data were obtained from a regional epidemiological database, which is the 2015 Epidemiological Survey of people under 65 years in 144 communities. The prevalence of hypertension was analyzed in five components based on the WHO framework (land use, transport, accessibility, green space, and socioeconomic status). Results indicated built environment factors have significant correlations with the prevalence of hypertension (p < 0.01). The road network density, gymnasium cost, income, medical facilities cost, walkability index, and land use mix (LUM) were statistically significant. Other indicators did not pass the significance test. The spatial models fit better than the multivariate linear model.

Highlights

  • With the advancement of medical technologies and economic development, the field of population health has experienced an epidemiological transition from infectious diseases to noncommunicable diseases (NCDs) [1]

  • Evidence supporting the association between the built environment and NCDs is far from convincing and remains ambiguous and fragmented [2,3]

  • average housing price (AHP), WalkIndex, RoadDen, BusIndex, and PopuDen were used as the explanatory variables

Read more

Summary

Introduction

With the advancement of medical technologies and economic development, the field of population health has experienced an epidemiological transition from infectious diseases to noncommunicable diseases (NCDs) [1]. The main NCDs, such as cardiovascular disease, diabetes, cancers, and chronic respiratory disease, are the leading cause of death and are a large burden globally. NCDs are often described as “lifestyle” diseases because the main risk factors are overconsumption of food, physical inactivity, smoking, and alcohol abuse. There have been only a few studies that have attempted to examine how the built environment impacts on the health of residents. The problem with most research is that case studies often tell stories with complex details or prove positive claims, rather than derive inductive hypotheses or test useful ideas that build on well-established theories [4]. Few studies have tried to establish a holistic conceptual framework or explain the mechanism of the built environment impacting health

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call