Literature DB >> 25891064

Physical activity and food environment assessments: implications for practice.

Amy A Eyler1, Heidi M Blanck2, Joel Gittelsohn3, Allison Karpyn4, Thomas L McKenzie5, Susan Partington6, Sandy J Slater7, Meghan Winters8.   

Abstract

There is growing interest in the use of physical activity and nutrition environmental measures by both researchers and practitioners. Built environment assessment methods and tools range from simple to complex and encompass perceived, observed, and geographic data collection. Even though challenges in tool selection and use may exist for non-researchers, there are opportunities to incorporate these measures into practice. The aims of this paper are to (1) describe examples of built environment assessment methods and tools in the practice context; (2) present case studies that outline successful approaches for the use of built environment assessment tools and data among practitioners; and (3) make recommendations for both research and practice. As part of the Built Environment Assessment Training Think Tank meeting in July 2013, experts who work with community partners gathered to provide input on conceptualizing recommendations for collecting and analyzing built environment data in practice and research. The methods were summarized in terms of perceived environment measures, observational measures, and geographic measures for physical activity and food environment assessment. Challenges are outlined and case study examples of successful use of assessments in practice are described. Built environment assessment tools and measures are important outside the research setting. There is a need for improved collaboration between research and practice in forming partnerships for developing tools, collecting and analyzing data, and using the results to work toward positive environmental changes.
Copyright © 2015 American Journal of Preventive Medicine. All rights reserved.

Mesh:

Year:  2015        PMID: 25891064     DOI: 10.1016/j.amepre.2014.10.008

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


  6 in total

Review 1.  Gene and environment interaction: Is the differential susceptibility hypothesis relevant for obesity?

Authors:  Roberta Dalle Molle; Hajar Fatemi; Alain Dagher; Robert D Levitan; Patricia P Silveira; Laurette Dubé
Journal:  Neurosci Biobehav Rev       Date:  2016-12-23       Impact factor: 8.989

2.  Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images.

Authors:  Jordan A Carlson; J Aaron Hipp; Jacqueline Kerr; Todd S Horowitz; David Berrigan
Journal:  J Meas Phys Behav       Date:  2018-09

3.  Technology and Data Collection in Chronic Disease Epidemiology.

Authors:  James B Holt
Journal:  Prev Chronic Dis       Date:  2015-10-29       Impact factor: 2.830

4.  Bike Score®: Associations between urban bikeability and cycling behavior in 24 cities.

Authors:  Meghan Winters; Kay Teschke; Michael Brauer; Daniel Fuller
Journal:  Int J Behav Nutr Phys Act       Date:  2016-02-11       Impact factor: 6.457

5.  Using Convolutional Neural Networks to Derive Neighborhood Built Environments from Google Street View Images and Examine Their Associations with Health Outcomes.

Authors:  Xiaohe Yue; Anne Antonietti; Mitra Alirezaei; Tolga Tasdizen; Dapeng Li; Leah Nguyen; Heran Mane; Abby Sun; Ming Hu; Ross T Whitaker; Quynh C Nguyen
Journal:  Int J Environ Res Public Health       Date:  2022-09-24       Impact factor: 4.614

Review 6.  Assessing environmental assets for health promotion program planning: a practical framework for health promotion practitioners.

Authors:  Andrew E Springer; Alexandra E Evans
Journal:  Health Promot Perspect       Date:  2016-08-10
  6 in total

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