Explore the role of the neighborhood environment in supporting walking.
Design.
Cross-sectional study of 10,286 residents of 200 neighborhoods. Participants were selected using a stratified two-stage cluster design. Data were collected by mail survey (68.5% response rate).
Setting.
Brisbane City Local Government Area, Australia, 2007.
Subjects.
Brisbane residents aged 40 to 65 years.
Measures.
Environmental: street connectivity, residential density, hilliness, tree coverage, bikeways, and streetlights within a 1-km circular buffer from each resident's home; and network distance to nearest river or coast, public transport, shop, and park. Walking: minutes walked in the previous week: <30 minutes, ≥30 to <90 minutes, ≥90 to <150 minutes, ≥150 to <300 minutes, and ≥300 minutes.
Analysis.
The association between each neighborhood characteristic and walking was examined using multilevel multinomial logistic regression, and the model parameters were estimated using Markov chain Monte Carlo simulation.
Results.
After adjustment for individual factors, the likelihood of walking for more than 300 minutes (relative to <30 minutes) was highest in areas with the most connectivity (odds ratio [OR] = 1.93; 99% confidence intervals [CI], 1.32–2.80), greatest residential density (OR = 1.47; 99% CI, 1.02–2.12), least tree coverage (OR = 1.69; 99% CI, 1.13–2.51), most bikeways (OR = 1.60; 99% CI, 1.16–2.21), and most streetlights (OR = 1.50; 99% CI, 1.07–2.11). The likelihood of walking for more than 300 minutes was also higher among those who lived closest to a river or the coast (OR = 2.06; 99% CI, 1.41–3.02).
Conclusion.
The likelihood of meeting (and exceeding) physical activity recommendations on the basis of walking was higher in neighborhoods with greater street connectivity and residential density, more streetlights and bikeways, closer proximity to waterways, and less tree coverage. Interventions targeting these neighborhood characteristics may lead to improved environmental quality as well as lower rates of overweight and obesity and associated chromic disease. (Am J Health Promot 2011;25[4]:e12–e21.)
HaskellWLLee I-M, PateRPhysical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc.2007;39:1423–1434.
2.
RichardsonCRKriskaAMLantzPMHaywardRA.Physical activity and mortality across cardiovascular disease risk groups. Med Sci Sports Exerc.2004;36:1923–1929.
3.
Centers for Disease Control and Prevention (CDC).Prevalence of physical activity, including lifestyle activities among adults—United States, 2000–2001. MMWR.2003;52:764–769.
AllenderSPetoRScarboroughPDiet, Physical Activity and Obesity Statistics. London, United Kingdom: British Heart Foundation;2006.
6.
ArmstrongTBaumanADaviesJ.Physical Activity Patterns of Australian Adults. Results of the 1999 National Physical Activity Survey. Canberra, Australia: Australian Institute of Health and Welfare;2000.
7.
PowellKEMartinLMChowdhuryPP.Places to walk: Convenience and regular physical activity. Am J Public Health.2003;93:1519–1521.
8.
Giles-CortiBKnuimanMTimperioAEvaluation of the implementation of a state government community design policy aimed at increasing local walking: Design issues and baseline results from RESIDE, Perth Western Australia. Prev Med.2008;46:46–54.
9.
VaillantG.Aging Well: Surprising Guideposts to a Happier Life From the Landmark Harvard Study of Adult Development. New York, NY: Scribe Publications;2002.
10.
CarnegieMABaumanAMarshallALPerceptions of the physical environment, stage of change for physical activity, and walking among Australian adults. Res Q Exerc Sport.2002;73:146–155.
11.
KirtlandKAPorterDEAddyCLEnvironmental measures of physical activity supports: Perception versus reality. Am J Prev Med.2003;24:323–331.
12.
BallKJefferyRWCrawfordDAMismatch between perceived and objective measures of physical activity environments. Prev Med.2008;47:294–298.
13.
WilsonDKKirtlandKAAinsworthBEAddyCL.Socioeconomic status and perceptions of access and safety for physical activity. Ann Behav Med.2004;28:20–28.
14.
CohenDAMcKenzieTLSehgalAWilliamsonS.Contributions of public parks to physical activity. Am J Public Health.2007;97:509–514.
15.
Giles-CortiBBroomhallMHKnuimanMIncreasing walking: How important is distance to, attractiveness, and size of public open space?Am J Prev Med.2005;28(2 suppl 2):169–176.
16.
BallKTimperioASalmonJPersonal, social and environmental determinants of educational inequalities in walking: A multilevel study. J Epidemiol Community Health.2007;61:108–114.
17.
BaumanA.Geographical influences upon physical activity participation: Evidence of a “coastal effect.”Aust N Z J Public Health.1999;23:322–324.
18.
McCormackGRGiles-CortiBBulsaraM.The relationship between destination proximity, destination mix and physical activity behaviors. Prev Med.2008;46:33–40.
19.
FrankLDSallisJFConwayTLMany pathways from land use to health—associations between neighborhood walkability and active transportation, body mass index, and air quality. J Am Plann Assoc.2006;72:75–87.
20.
LeeCMoudonAV.Correlates of walking for transportation or recreation purposes. J Phys Act Health.2006;3(suppl 1):S77–S98.
21.
BoarnetMGGreenwalkMMcMillanTE.Walking, urban design, and health: Toward a cost-benefit analysis framework. J Plann Educ Res.2008;27:341–358.
22.
SaelensBESallisJFFrankLD.Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures. Ann Behav Med.2003;25:80–91.
23.
HoehnerCMBrennanRamirez LKElliottMBPerceived and objective environmental measures and physical activity among urban adults. Am J Prev Med.2005;28(2 suppl 2):105–116.
24.
CerveroRDuncanM.Walking, bicycling, and urban landscapes: Evidence from the San Francisco Bay Area. Am J Public Health.2003;93:1478–1483.
25.
SchroederHWAndersonLM.Perceptions of personal safety in urban recreation sites. J Leisure Res.1984;16:178–194.
26.
ChinGKWVan NielKPGiles-CortiBKnuimanM.Accessibility and connectivity in physical activity studies: The impact of missing pedestrian data. Prev Med.2008;46:41–45.
27.
BurtonNWHaynesMWilsonLMHABITAT: A longitudinal multilevel study of physical activity change in mid-aged adults. BMC Public Health.2009;9:76.
28.
1216.0—Australian Standard Geographical Classification (ASGC), 1999. Canberra, Australia: Australian Bureau of Statistics;2006.
29.
DillmanDA.Mail and Internet Surveys: The Tailored Design Method. Chichester, United Kingdom: John Wiley & Sons,Inc: 2000.
30.
BrownWTrostSGBaumanATest-retest reliability of four physical activity measures used in population surveys. J Sci Med Sport.2004;28:128–134.
31.
BrownWJBurtonNWMarshallALMillerYD.Reliability and validity of a modified self administered version of the Active Australia Physical Activity Survey in a sample of mid-age women. Aust NZ J Public Health.2008;32:535–541.
32.
AnteroKesaniemi YDanforthEJJensenMDDose-response issues concerning physical activity and health: An evidence-based symposium. Med Sci Sports Exerc.2001;33(suppl 6):S351–S358.
33.
TateDFJefferyRWSherwoodNEWingRR.Long-term weight losses associated with prescription of higher physical activity goals. Are higher levels of physical activity protective against weight regain?Am J Clin Nutr.2007;85:954–959.
34.
MoudonAVLeeCCheadleAOperational definitions of walkable neighborhood: Theoretical and empirical insights. J Phys Act Health.2006;3(suppl 1):S99–S117.
35.
LovasiGSNeckermanKMQuinnJWEffect of individual or neighborhood disadvantage on the association between neighborhood walkability and body mass index. Am J Public Health.2009;99:279–284.
36.
BerkeEMKoepsellDMoudonAVAssociation of the built environment with physical activity and obesity in older persons. Am J Public Health.2007;97:489–492.
37.
BrowneWJ.MCMC Estimation in MLwiN v 2.1. Bristol, United Kingdom: University of Bristol: Centre for Multilevel Modelling;2009.
38.
RasbashJCharltonCBrowneWJMLwiN v 2.02. Bristol, United Kingdom: University of Bristol: Centre for Multilevel Modelling;2005.
39.
Australian Bureau of Statistics,National Health Survey: Summary of Results. Canberra, Australia: Australian Government Printing Service;2006.
40.
HallalPCAzevedoMRReichertFFWho, when, and how much? Epidemiology of walking in a middle-income country. Am J Prev Med.2005;28:156–161.
41.
FrankLDSchmidTLSallisJFLinking objectively measured physical activity with objectively measured urban form: Findings from SMARTRAQ. Am J Prev Med.2005;28(2 suppl 2):117–125.
42.
PikoraTGiles-CortiBBullFDeveloping a framework for assessment of the environmental determinants of walking and cycling. Soc Sci Med.2003;56:1693–1703.
43.
Giles-CortiBTimperioABullFPikoraT.Understanding physical activity environmental correlates: Increased specificity for ecological models. Exerc Sport Sci Rev.2005;33:175–181.
44.
BertraisSPreziosiPMennenLSociodemographic and geographic correlates of meeting current recommendations for physical activity in middle-aged French adults: The Supplementation en Vitamins et Mineraux Antioxydants (SUVIMAX) study. Am J Public Health.2004;94:1560–1566.
45.
Bringolf-IslerBGrizeLMaderUPersonal and environmental factors associated with active commuting to school in Switzerland. Prev Med.2008;46:67–73.
46.
OgilvieDEganMHamiltonVPetticrewM.Promoting walking and cycling as an alternative to using cars: Systematic review. BMJ.2004;329:763.
47.
AlbrightCThompsonDL.The effectiveness of walking in preventing cardiovascular disease in women: A review of the current literature. J Womens Health.2006;15:271–280.
48.
LeeCMoudonAV.Physical activity and environment research in the health field: Implications for urban and transportation planning practice and research. J Plann Lit.2004;19:147–180.
49.
HeathGWBrownsonRCKrugerJThe effectiveness of urban design and land use and transport policies and practices to increase physical activity: A systematic review. J Phys Act Health.2006;3(suppl 1):S55–S76.
50.
FogelholmM.Walking for the management of obesity. Dis Manag Health Out.2005;13:9–18.
51.
LeydenKM.Social capital and the built environment: The importance of walkable neighborhoods. Am J Public Health.2003;93:1546–1551.
