Walking, obesity and urban design in Chinese neighborhoods

Research output: Contribution to journalArticle

Abstract

Objective: We examined the connections (1) between the design of the built environment and walking, (2) between the design of the built environment and obesity, and (3) between walking and obesity and income in urban settings in China. Methods: Six neighborhoods with different built environment characteristics, located in the Chinese cities of Shanghai and Hangzhou, were studied. Data on walking and other physical activity and obesity levels from 1070 residents were collected through a street intercept survey conducted in 2013. Built environment features of 527 street segments were documented using the Irvine-Minnesota Inventory-China (IMI-C) environmental audit. Data were analyzed using the State of Place™ Index. Results: Walking rates, household income and Body Mass Index (BMI) were related; neighborhoods with a higher State of Place™ Index were associated with higher rates of walking. Conclusion: This study began to establish an evidence base for the association of built environment features with walking in the context of Chinese urban design. Findings confirmed that the associations between "walkable" built environment features and walking established in existing research in other countries, also held true in the case of Chinese neighborhoods.

Original languageEnglish (US)
Pages (from-to)S79-S85
JournalPreventive Medicine
Volume69
Issue numberS
DOIs
StatePublished - Dec 1 2014

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Walking
Obesity
Environment Design
China
Body Mass Index
Equipment and Supplies
Research

Keywords

  • China
  • Income
  • Neighborhood
  • Obesity
  • Physical activity
  • Urban design
  • Walking

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Epidemiology

Cite this

Walking, obesity and urban design in Chinese neighborhoods. / Alfonzo, Mariela; Guo, Zhan; Lin, Lin; Day, Kristen.

In: Preventive Medicine, Vol. 69, No. S, 01.12.2014, p. S79-S85.

Research output: Contribution to journalArticle

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