International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: the IPEN adult study

被引:184
作者
Adams, Marc A. [1 ,2 ]
Frank, Lawrence D. [3 ,4 ,5 ]
Schipperijn, Jasper [6 ]
Smith, Graham [7 ]
Chapman, James [5 ]
Christiansen, Lars B. [6 ]
Coffee, Neil [8 ]
Salvo, Deborah [9 ,10 ,23 ]
du Toit, Lorinne [11 ]
Dygryn, Jan [12 ]
Ferreira Hino, Adriano Akira [13 ]
Lai, Poh-chin [14 ]
Mavoa, Suzanne [15 ,16 ]
David Pinzon, Jose [17 ]
Van de Weghe, Nico [18 ]
Cerin, Ester [19 ]
Davey, Rachel [20 ]
Macfarlane, Duncan [19 ]
Owen, Neville [21 ]
Sallis, James F. [22 ]
机构
[1] Arizona State Univ, Sch Nutr & Hlth Promot, Exercise & Wellness Program, Phoenix, AZ 85004 USA
[2] Arizona State Univ, Global Inst Sustainabil GIOS, Phoenix, AZ USA
[3] Univ British Columbia, Sch Populat & Publ Hlth, Hlth & Community Design Lab, Vancouver, BC V5Z 1M9, Canada
[4] Univ British Columbia, Sch Community & Reg Planning, Hlth & Community Design Lab, Vancouver, BC V5Z 1M9, Canada
[5] Urban Design 4 Hlth Inc, Seattle, WA USA
[6] Univ Southern Denmark, Dept Sports Sci & Clin Biomech, Odense, Denmark
[7] Staffordshire Univ, Inst Environm Sustainabil & Regenerat, Stoke On Trent ST4 2DE, Staffs, England
[8] Univ S Australia, Spatial Epidemiol & Evaluat Res Grp, Sch Populat Hlth, Sansom Inst Hlth Res,SAHMRI, Adelaide, SA 5001, Australia
[9] Natl Inst Publ Hlth Mexico, Nutr & Hlth Sci Res Ctr, Cuernavaca, Morelos, Mexico
[10] Stanford Univ, Sch Med, Stanford Prevent Res Ctr, Palo Alto, CA 94304 USA
[11] Univ Queensland, Brisbane, Qld, Australia
[12] Palacky Univ, Fac Phys Culture, Inst Act Lifestyle, CR-77147 Olomouc, Czech Republic
[13] Pontificia Univ Catolica Parana, Sch Hlth & Biosci, Dept Phys Educ, Curitiba, Parana, Brazil
[14] Univ Hong Kong, Dept Geog, Hong Kong, Hong Kong, Peoples R China
[15] Massey Univ, Sch Publ Hlth, SHORE & Whariki Res Ctr, Palmerston North, New Zealand
[16] Univ Melbourne, Sch Populat & Global Hlth, McCaughey VicHlth Ctr Community Wellbeing, Melbourne, Vic, Australia
[17] Fdn Univ Bogota Jorge Tadeo Lozano, Urban Design Dept, Bogota, Colombia
[18] Univ Ghent, Fac Sci, Dept Geog, CartoGIS Res Grp, B-9000 Ghent, Belgium
[19] Univ Hong Kong, Inst Human Performance, Hong Kong, Hong Kong, Peoples R China
[20] Univ Canberra, Ctr Res & Act Publ Hlth, Canberra, ACT 2601, Australia
[21] Baker IDI Heart & Diabet Inst, Melbourne, Vic, Australia
[22] Univ Calif San Diego, Dept Family & Prevent Med, San Diego, CA 92103 USA
[23] Emory Univ, Nutr & Hlth Sci Program, Atlanta, GA 30322 USA
基金
英国医学研究理事会;
关键词
Walkability; Urban planning; Exercise; Built environment; International health; Transportation; Parks; Physical activity; PHYSICAL-ACTIVITY; BUILT ENVIRONMENT; WALK SCORE(R); URBAN SPRAWL; 11; COUNTRIES; BUFFER SIZE; ASSOCIATIONS; OBESITY; TRANSPORTATION; DETERMINANTS;
D O I
10.1186/1476-072X-13-43
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: The World Health Organization 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. Methods: The International Physical Activity and the Environment Network (IPEN) study of adults aimed to measure the full range of variation in the built environment using geographic information systems (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. Results: 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. Conclusions: 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 behaviors, body mass index, and other health outcomes on an international basis. Present measures provide the ability to estimate dose-response relationships from projected changes to the built environment that would otherwise be impossible.
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页数:17
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