Literature DB >> 17515010

Attributes of environments supporting walking.

Anne Vernez Moudon1, Chanam Lee, Allen D Cheadle, Cheza Garvin, Donna B Johnson Rd, Thomas L Schmid, Robert D Weathers.   

Abstract

PURPOSE: This study established a framework to audit environments supporting walking in neighborhoods.
DESIGN: Cross-sectional analysis using a telephone survey and 200 objective environmental variables. SETTING. Urbanized King County, WA. SUBJECTS. 608 randomly sampled adults. Measures. Walking measures constructed from survey questions; objective environmental measures taken from parcel-level databases in Geographic Information Systems. ANALYSIS: Multinomial models estimated the odds of people engaging in moderate walking (<149 min/wk) and in walking sufficiently to meet recommendations for health (150+ min/ wk), relative to not walking" and in walking sufficiently, relative to walking moderately. A base model consisted of survey variables, and final models incorporated both survey and environmental variables. RESULTS. Survey variables strongly associated with walking sufficiently to enhance health included household income, not having difficulty walking, using transit, perceiving social support for walking walking outside of the neighborhood, and having a dog (p < .01). The models isolated 14 environmental variables associated with walking sufficiently (pseudo R2 up to 0. 46). Measures of distance to neighborhood destinations dominated the results: shorter distances to grocery stores/markets, restaurants, and retail stores, but longer distances to offices or mixed-use buildings (p < .01 or .05). The density of the respondent's parcel was also strongly associated with walking sufficiently (p < .01). Conclusions. The study offered valid environmental measures of neighborhood walkability.

Entities:  

Mesh:

Year:  2007        PMID: 17515010     DOI: 10.4278/0890-1171-21.5.448

Source DB:  PubMed          Journal:  Am J Health Promot        ISSN: 0890-1171


  44 in total

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Review 3.  Role of built environments in physical activity, obesity, and cardiovascular disease.

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4.  The California Neighborhoods Data System: a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations.

Authors:  Scarlett Lin Gomez; Sally L Glaser; Laura A McClure; Sarah J Shema; Melissa Kealey; Theresa H M Keegan; William A Satariano
Journal:  Cancer Causes Control       Date:  2011-02-12       Impact factor: 2.506

5.  Do Neighborhood Physical Activity Resources and Land Use Influence Physical Activity among African American Public Housing Residents?

Authors:  Nathan H Parker; Daniel P O'Connor; Dennis T Kao; Rebecca E Lee
Journal:  J Health Care Poor Underserved       Date:  2016

6.  Quasi-causal associations of physical activity and neighborhood walkability with body mass index: a twin study.

Authors:  Glen E Duncan; Stephanie Whisnant Cash; Erin E Horn; Eric Turkheimer
Journal:  Prev Med       Date:  2014-12-04       Impact factor: 4.018

7.  Neighborhood design and perceptions: relationship with active commuting.

Authors:  Carolyn C Voorhees; Scott Ashwood; Kelly R Evenson; John R Sirard; Ariane L Rung; Marsha Dowda; Thomas L Mckenzie
Journal:  Med Sci Sports Exerc       Date:  2010-07       Impact factor: 5.411

8.  Geographic Information Systems (GIS): recognizing the importance of place in primary care research and practice.

Authors:  Ethan M Berke
Journal:  J Am Board Fam Med       Date:  2010 Jan-Feb       Impact factor: 2.657

9.  Neighborhood and weight-related health behaviors in the Look AHEAD (Action for Health in Diabetes) study.

Authors:  Tiffany L Gary-Webb; Kesha Baptiste-Roberts; Luu Pham; Jacqueline Wesche-Thobaben; Jennifer Patricio; F Xavier Pi-Sunyer; Arleen F Brown; LaShanda Jones; Frederick L Brancati
Journal:  BMC Public Health       Date:  2010-06-04       Impact factor: 3.295

10.  Healthy neighborhoods: walkability and air pollution.

Authors:  Julian D Marshall; Michael Brauer; Lawrence D Frank
Journal:  Environ Health Perspect       Date:  2009-07-20       Impact factor: 9.031

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