Literature DB >> 16459213

The Irvine-Minnesota inventory to measure built environments: development.

Kristen Day1, Marlon Boarnet, Mariela Alfonzo, Ann Forsyth.   

Abstract

BACKGROUND: Researchers and policymakers increasingly identify active living-including walking and bicycling for travel and recreation-as a potential strategy to increase rates of physical activity in the United States. Understanding the impact of the built environment on physical activity levels requires reliable methods to measure potentially relevant built environment features. This paper presents an audit tool-the Irvine Minnesota Inventory-that was designed to measure a wide range of built environment features that are potentially linked to active living, especially walking.
METHODS: The inventory was created through a literature review, focus group interviews, a panel of experts, and field testing in 27 settings. The inventory was developed in 2003-2004.
RESULTS: The Irvine Minnesota Inventory includes 162 items, organized into four domains: accessibility (62 items), pleasurability (56 items), perceived safety from traffic (31 items), and perceived safety from crime (15 items). (Some items are in multiple domains.) The inventory includes both a paper version and a version in Microsoft Access, to allow data to be input directly into the computer.
CONCLUSIONS: Limitations of methods used to develop the inventory are discussed. Strategies are offered for using the Irvine Minnesota Inventory to systematically and reliably measure characteristics of the built environment that are potentially linked to active living.

Mesh:

Year:  2006        PMID: 16459213     DOI: 10.1016/j.amepre.2005.09.017

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  69 in total

1.  Impact of participant incentives and direct and snowball sampling on survey response rate in an ethnically diverse community: results from a pilot study of physical activity and the built environment.

Authors:  Daniel F Perez; Jason X Nie; Chris I Ardern; Natasha Radhu; Paul Ritvo
Journal:  J Immigr Minor Health       Date:  2013-02

2.  Use of Google Street View to Assess Environmental Contributions to Pedestrian Injury.

Authors:  Stephen J Mooney; Charles J DiMaggio; Gina S Lovasi; Kathryn M Neckerman; Michael D M Bader; Julien O Teitler; Daniel M Sheehan; Darby W Jack; Andrew G Rundle
Journal:  Am J Public Health       Date:  2016-01-21       Impact factor: 9.308

Review 3.  Environmental and societal influences acting on cardiovascular risk factors and disease at a population level: a review.

Authors:  Clara Kayei Chow; Karen Lock; Koon Teo; S V Subramanian; Martin McKee; Salim Yusuf
Journal:  Int J Epidemiol       Date:  2009-03-04       Impact factor: 7.196

4.  Revising the senior walking environmental assessment tool.

Authors:  Yvonne L Michael; Erin M Keast; Habib Chaudhury; Kristen Day; Atiya Mahmood; Ann F I Sarte
Journal:  Prev Med       Date:  2008-12-24       Impact factor: 4.018

5.  Analyzing Walking Route Choice through Built Environments using Random Forests and Discrete Choice Techniques.

Authors:  Calvin P Tribby; Harvey J Miller; Barbara B Brown; Carol M Werner; Ken R Smith
Journal:  Environ Plan B Urban Anal City Sci       Date:  2016-07-20

6.  Neighborhood factors associated with physical activity and adequacy of weight gain during pregnancy.

Authors:  Barbara Laraia; Lynne Messer; Kelly Evenson; Jay S Kaufman
Journal:  J Urban Health       Date:  2007-08-21       Impact factor: 3.671

7.  Refining The Grain: Using Resident-Based Walkability Audits To Better Understand Walkable Urban Form.

Authors:  Marc Schlossberg; Deb Johnson-Shelton; Cody Evers; Geraldine Moreno
Journal:  J Urban       Date:  2015-01-06

8.  The Stanford Healthy Neighborhood Discovery Tool: a computerized tool to assess active living environments.

Authors:  Matthew P Buman; Sandra J Winter; Jylana L Sheats; Eric B Hekler; Jennifer J Otten; Lauren A Grieco; Abby C King
Journal:  Am J Prev Med       Date:  2013-04       Impact factor: 5.043

9.  Predictors of discordance between perceived and objective neighborhood data.

Authors:  Erin J Bailey; Kristen C Malecki; Corinne D Engelman; Matthew C Walsh; Andrew J Bersch; Ana P Martinez-Donate; Paul E Peppard; F Javier Nieto
Journal:  Ann Epidemiol       Date:  2013-12-28       Impact factor: 3.797

10.  Assessing urban and rural neighborhood characteristics using audit and GIS data: derivation and reliability of constructs.

Authors:  Kelly R Evenson; Daniela Sotres-Alvarez; Amy H Herring; Lynne Messer; Barbara A Laraia; Daniel A Rodríguez
Journal:  Int J Behav Nutr Phys Act       Date:  2009-07-20       Impact factor: 6.457

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