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Statements

Subject Item
n2:RIV%2F61989592%3A15510%2F14%3A33150038%21RIV15-MSM-15510___
rdf:type
skos:Concept n10:Vysledek
rdfs:seeAlso
http://www.ij-healthgeographics.com/content/13/1/43
dcterms:description
The WHO recommends strategies to improve urban design, public transportation, and recreation facilities to facilitate physical activity for non-communicable disease prevention for an increasingly urbanized global population. Most evidence supporting environmental associations with physical activity comes from single countries or regions with limited variation in urban form. This paper documents variation in comparable built environment features across countries from diverse regions. IPEN study of adults aimed to measure the full range of variation in the built environment using GIS across 12 countries on 5 continents. Investigators in Australia, Belgium, Brazil, Colombia, the Czech Republic, Denmark, China, Mexico, New Zealand, Spain, the United Kingdom, and the United States followed a common research protocol to develop internationally comparable measures. Using detailed instructions, GIS-based measures included features such as walkability (i.e., residential density, street connectivity, mix of land uses), and access to public transit, parks, and private recreation facilities around each participant's residential address using 1-km and 500-m street network buffers. Eleven of 12 countries and 15 cities had objective GIS data on built environment features. We observed a 38-fold difference in median residential densities, a 5-fold difference in median intersection densities and an 18-fold difference in median park densities. Hong Kong had the highest and North Shore, New Zealand had the lowest median walkability index values, representing a difference of 9 standard deviations in GIS-measured walkability. Results show that comparable measures can be created across a range of cultural settings revealing profound global differences in urban form relevant to physical activity. These measures allow cities to be ranked more precisely than previously possible. The highly variable measures of urban form will be used to explain individuals' physical activity, sedentary... The WHO recommends strategies to improve urban design, public transportation, and recreation facilities to facilitate physical activity for non-communicable disease prevention for an increasingly urbanized global population. Most evidence supporting environmental associations with physical activity comes from single countries or regions with limited variation in urban form. This paper documents variation in comparable built environment features across countries from diverse regions. IPEN study of adults aimed to measure the full range of variation in the built environment using GIS across 12 countries on 5 continents. Investigators in Australia, Belgium, Brazil, Colombia, the Czech Republic, Denmark, China, Mexico, New Zealand, Spain, the United Kingdom, and the United States followed a common research protocol to develop internationally comparable measures. Using detailed instructions, GIS-based measures included features such as walkability (i.e., residential density, street connectivity, mix of land uses), and access to public transit, parks, and private recreation facilities around each participant's residential address using 1-km and 500-m street network buffers. Eleven of 12 countries and 15 cities had objective GIS data on built environment features. We observed a 38-fold difference in median residential densities, a 5-fold difference in median intersection densities and an 18-fold difference in median park densities. Hong Kong had the highest and North Shore, New Zealand had the lowest median walkability index values, representing a difference of 9 standard deviations in GIS-measured walkability. Results show that comparable measures can be created across a range of cultural settings revealing profound global differences in urban form relevant to physical activity. These measures allow cities to be ranked more precisely than previously possible. The highly variable measures of urban form will be used to explain individuals' physical activity, sedentary...
dcterms:title
International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: The IPEN adult study International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: The IPEN adult study
skos:prefLabel
International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: The IPEN adult study International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: The IPEN adult study
skos:notation
RIV/61989592:15510/14:33150038!RIV15-MSM-15510___
n3:aktivita
n13:Z
n3:aktivity
Z(MSM6198959221)
n3:cisloPeriodika
43
n3:dodaniDat
n11:2015
n3:domaciTvurceVysledku
n8:8940932
n3:druhVysledku
n19:J
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
22480
n3:idVysledku
RIV/61989592:15510/14:33150038
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Physical activity; Parks; Transportation; International health; Built environment; Exercise; Urban planning; Walkability
n3:klicoveSlovo
n6:Physical%20activity n6:Parks n6:Walkability n6:Built%20environment n6:Urban%20planning n6:Transportation n6:International%20health n6:Exercise
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[4FB5E04B9981]
n3:nazevZdroje
International Journal of Health Geographics
n3:obor
n5:AK
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
20
n3:rokUplatneniVysledku
n11:2014
n3:svazekPeriodika
13
n3:tvurceVysledku
Hino, Adriano A Dygrýn, Jan Cerin, Ester Pinzón, José D Macfarlane, Duncan Sallis, James F Frank, Lawrence D Smith, Graham Lai, Poh-Chin Mavoa, Suzanne Davey, Rachel Adams, Marc A Neil, Coffee Lorinne, Du Toit Owen, Neville Chapman, James Lars B, Christiansen Deborah, Salvo Jasper, Schipperijn Van De Weghe, Nico
n3:wos
000345932700001
n3:zamer
n15:MSM6198959221
s:issn
1476-072X
s:numberOfPages
17
n17:doi
10.1186/1476-072X-13-43
n9:organizacniJednotka
15510