Literature DB >> 28868528

The National Environmental Public Health Tracking Network Access to Parks Indicator: A National County-Level Measure of Park Proximity.

Emily Neusel Ussery1, Leah Yngve1, Dee Merriam1, Geoffrey Whitfield1, Stephanie Foster1, Arthur Wendel1, Tegan Boehmer1.   

Abstract

Parks and recreation departments and public health organizations both work to improve the well-being of their communities. Measuring residential proximity to parks could be a specific area of shared interest, given that proximity to parks is needed for walking access, and the use of parks is, in turn, associated with many physical, social, and mental health benefits. The CDC's publicly available National Environmental Public Health Tracking Network (NEPHTN) Access to Parks Indicator (API) focuses on one major component of access, residential proximity to parks. The API uses a commercial parks database and U.S. Census data to estimate the number and percentage of individuals in the U.S. that live within a half-mile of a park boundary, a measure commonly used to represent park proximity. The API is calculated at the state and county levels and is available for all states and counties in the U.S. Using estimates from the API, we examined the distribution of residential proximity to parks by geography and race/ethnicity. Additionally, we evaluated differences in park proximity by rural/urban status of counties. In 2010, 39% of the total U.S. population lived within a half-mile of a park. This percentage varied widely between states, ranging from 9% in West Virginia to 67% in Hawaii and 88% in the District of Columbia (DC). Park proximity was lowest among non-Hispanic whites (34.2%) and highest among individuals belonging to the non-Hispanic other race category (52.0%). Metropolitan counties had the highest percentage of residents living within a half-mile of a park (43.3%); the percentage was lower in non-metropolitan counties adjacent to a metropolitan county (15.0%) and non-metropolitan counties not adjacent to a metropolitan county (18.5%). Park proximity was higher in metropolitan counties with a larger population size and in non-metropolitan counties with a higher degree of urbanization. The NEPHTN Access to Parks Indicator provides an opportunity to understand park proximity in counties and states throughout the U.S., including identifying disparities that may exist between population subgroups and comparing geographic areas. Parks and recreational professionals can use this information to compare their county or state to other geographic areas and, in combination with local data on parks within their jurisdiction, inform decisions to improve the distribution of parks and the well-being of their communities.

Entities:  

Keywords:  Park access; built environment; disparities; park proximity; tracking network; urban planning; urbanization

Year:  2016        PMID: 28868528      PMCID: PMC5580831          DOI: 10.18666/JPRA-2016-V34-I3-7119

Source DB:  PubMed          Journal:  J Park Recreat Admi


  22 in total

1.  Differential correlates of physical activity in urban and rural adults of various socioeconomic backgrounds in the United States.

Authors:  S E Parks; R A Housemann; R C Brownson
Journal:  J Epidemiol Community Health       Date:  2003-01       Impact factor: 3.710

Review 2.  Effects of the built environment on physical activity of adults living in rural settings.

Authors:  Stephanie S Frost; R Turner Goins; Rebecca H Hunter; Steven P Hooker; Lucinda L Bryant; Judy Kruger; Delores Pluto
Journal:  Am J Health Promot       Date:  2010 Mar-Apr

Review 3.  Increasing walking: how important is distance to, attractiveness, and size of public open space?

Authors:  Billie Giles-Corti; Melissa H Broomhall; Matthew Knuiman; Catherine Collins; Kate Douglas; Kevin Ng; Andrea Lange; Robert J Donovan
Journal:  Am J Prev Med       Date:  2005-02       Impact factor: 5.043

4.  Contribution of public parks to physical activity.

Authors:  Deborah A Cohen; Thomas L McKenzie; Amber Sehgal; Stephanie Williamson; Daniela Golinelli; Nicole Lurie
Journal:  Am J Public Health       Date:  2007-01-31       Impact factor: 9.308

5.  Where are youth active? Roles of proximity, active transport, and built environment.

Authors:  Helene Mollie Grow; Brian E Saelens; Jacqueline Kerr; Nefertiti H Durant; Gregory J Norman; James F Sallis
Journal:  Med Sci Sports Exerc       Date:  2008-12       Impact factor: 5.411

6.  Reconsidering access: park facilities and neighborhood disamenities in New York City.

Authors:  Christopher C Weiss; Marnie Purciel; Michael Bader; James W Quinn; Gina Lovasi; Kathryn M Neckerman; Andrew G Rundle
Journal:  J Urban Health       Date:  2011-04       Impact factor: 3.671

7.  Health behaviors and weight status among urban and rural children.

Authors:  Ann M Davis; Richard E Boles; Rochelle L James; Debra K Sullivan; Joseph E Donnelly; Deborah L Swirczynski; Jeannine Goetz
Journal:  Rural Remote Health       Date:  2008-04-15       Impact factor: 1.759

8.  Prevalence of obesity among adults from rural and urban areas of the United States: findings from NHANES (2005-2008).

Authors:  Christie A Befort; Niaman Nazir; Michael G Perri
Journal:  J Rural Health       Date:  2012-05-31       Impact factor: 4.333

Review 9.  Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary.

Authors:  Lukar E Thornton; Jamie R Pearce; Anne M Kavanagh
Journal:  Int J Behav Nutr Phys Act       Date:  2011-07-01       Impact factor: 6.457

10.  Lack of agreement between measured and self-reported distance from public green parks in Glasgow, Scotland.

Authors:  Sally Macintyre; Laura Macdonald; Anne Ellaway
Journal:  Int J Behav Nutr Phys Act       Date:  2008-05-04       Impact factor: 6.457

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  4 in total

1.  ParkIndex: Using Key Informant Interviews to Inform the Development of a New Park Access Evaluation Tool.

Authors:  Elizabeth L Oliphant; S Morgan Hughey; Ellen W Stowe; Andrew T Kaczynski; Jasper Schipperijn; J Aaron Hipp
Journal:  J Park Recreat Admi       Date:  2019-02-08

2.  Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults.

Authors:  André O Werneck; Kabir P Sadarangani; Robinson Ramírez-Vélez; Se-Sergio Baldew; Thayse N Gomes; Gerson Ferrari; Célia L Szwarcwald; J Jaime Miranda; Danilo R Silva
Journal:  Int J Behav Nutr Phys Act       Date:  2020-12-14       Impact factor: 6.457

3.  Understanding changes in park visitation during the COVID-19 pandemic: A spatial application of big data.

Authors:  William L Rice; Bing Pan
Journal:  Wellbeing Space Soc       Date:  2021-05-11

4.  Beyond Proximity: Utility-Based Access from Location-Based Services Data.

Authors:  Gregory S Macfarlane; Emma Stucki; Alisha H Redelfs; Lori Andersen Spruance
Journal:  Int J Environ Res Public Health       Date:  2022-09-28       Impact factor: 4.614

  4 in total

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