To measure the concordance of directly and indirectly measured neighborhood attributes and to determine the correlates of the concordance between directly and indirectly measured built environment attributes.
Design.
Environmental cross-sectional design.
Setting.
Urban and suburban neighborhoods within Harris County, Houston, and Travis County, Austin, Texas.
Subjects.
Community-dwelling African-American and Hispanic or Latina women.
Measures.
Physical activity resource accessibility, path maintenance, and pedestrian and bicycle facilities were measured directly and indirectly. Directly or objectively measured neighborhood attributes were measured by the Physical Activity Resource Assessment and Pedestrian Environmental Data Scan instruments. Indirectly measured or self-reported neighborhood attributes were measured by the International Physical Activity Prevalence Study environmental survey module.
Analysis.
Logistic regression was used to measure the concordance between directly and indirectly measured neighborhood attributes with ethnicity as a covariate. Residual values were calculated to determine the strength and direction of concordance.
Results.
Participants' (N = 409) average body mass index (BMI) was classified as obese (MBMI = 34.5 kg/m2, SD = 7.9), and the mean body fat percentage was 42.8% (SD = 7.1). The correlates BMI, body fat percentage, physical activity, and ethnicity were not significantly associated with any built environment attribute or concordance value, and none of our models significantly predicted indirectly measured built environment attributes.
Conclusion.
Being less familiar with certain built environment attributes may not be associated with weight status or physical activity levels among African-American and Hispanic or Latina women.
SallisJFBaumanAPrattM. Environmental and policy interventions to promote physical activity. Am J Prev Med.1998;15:379–397.
2.
SallisJF. Health Behavior and Health Education.San Francisco, Calif: Jossey-Bass; 1997.
3.
SpenceJLeeR. Toward a comprehensive model of physical activity. Psychol Sport Exerc.2003;4:7–24.
4.
BallKJefferyRWCrawfordDA. Mismatch between perceived and objective measures of physical activity environments. Prev Med.2008;47:294–298.
5.
GebelKBaumanAOwenN. Correlates of non-concordance between perceived and objective measures of walkability. Ann Behav Med.2009;37:228–238.
6.
HandySLBoarnetMGEwingRKillingsworthRE. How the built environment affects physical activity: views from urban planning. Am J Prev Med.2002;23(2 suppl):64–73.
7.
HeinrichKMLeeREReganGR. How does the built environment relate to body mass index and obesity prevalence among public housing residents?Am J Health Promot.2008;22:187–194.
8.
McAlexanderKMBandaJAMcAlexanderJWLeeRE. Physical activity resource attributes and obesity in low-income African Americans. J Urban Health.2009;86:696–707.
9.
McGinnAPEvensonKRHerringAH. Exploring associations between physical activity and perceived and objective measures of the built environment. J Urban Health.2007;84:162–184.
10.
SaelensBESallisJFFrankLD. Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. Ann Behav Med.2003;25:80–91.
11.
KirtlandKAPorterDEAddyCL. Environmental measures of physical activity supports: perception versus reality. Am J Prev Med.2003;24:323–331.
12.
BrownsonRCHoehnerCMDayK. Measuring the built environment for physical activity: state of the science. Am J Prev Med.2009;36(4 suppl):S99–S123.e112.
13.
CerinELeslieEOwenN. Explaining socioeconomic status differences in walking for transport: an ecological analysis of individual, social and environmental factors. Soc Sci Med.2009;68:1013–1020.
14.
CerinESaelensBESallisJFFrankLD. Neighborhood Environment Walkability Scale: validity and development of a short form. Med Sci Sports Exerc.2006;38:1682–1691.
15.
LeeREBoothKMReese-SmithJY. The Physical Activity Resource Assessment (PARA) instrument: evaluating features, amenities and incivilities of physical activity resources in urban neighborhoods. Int J Behav Nutr Phys Act.2005;2:13.
16.
CliftonKLSARodriguezD. The development and testing of an audit for the pedestrian environment. Land Urban Plann.2007;80:95–110.
17.
HumpelNOwenNLeslieE. Environmental factors associated with adults' participation in physical activity: a review. Am J Prev Med.2002;22:188–199.
18.
KrugerJYoreMMKohlHW3rd. Physical activity levels and weight control status by body mass index, among adults—National Health and Nutrition Examination Survey 1999–2004. Int J Behav Nutr Phys Act.2008;5:25.
19.
OgdenCLCarrollMDCurtinLR. Prevalence of overweight and obesity in the United States, 1999–2004. JAMA.2006;295:1549–1555.
20.
US Department of Health and Human Services. Physical Activity and Health: A Report of the Surgeon General.Atlanta, Ga, US Dept of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Chronic Disease Prevention and Health Promotion, 1996.
21.
WyattSBWintersKPDubbertPM. Overweight and obesity: prevalence, consequences, and causes of a growing public health problem. Am J Med Sci.2006;331:166–174.
22.
BoehmerTKHoehnerCMDeshpandeAD. Perceived and observed neighborhood indicators of obesity among urban adults. Int J Obes (Lond).2007;31:968–977.
23.
LeeREMamaSKBandaJA. Differences across physical activity, dietary habits, and weight in women of color. Ann Behav Med.2010;39:S179.
SjostromMBullFCraigC. Towards standardized global assessment of health-related physical activity: the International Physical Activity Questionnaire (IPAQ). Med Sci Sports Exerc.2002;34:S202.
26.
SarnoffRHughesD. Increasing health insurance coverage in the first year of life. Matern Child Health J.2005;9:343–350.
LeeREReese-SmithJReganG. Applying GIS technology to assess the obesogenic structure of neighborhoods surrounding public housing developments. Med Sci Sports Exerc.2003;35:S65.
29.
ParmenterBMcMillanTCubbinCLeeR. Developing geospatial data management, recruitment, and analysis techniques for physical activity research. J Urban Reg Inf Syst Assoc.2008;20:13–19.
30.
HeinrichKMLeeRESuminskiRR. Associations between the built environment and physical activity in public housing residents. Int J Behav Nutr Phys Act.2007;4:56.
31.
Diez-RouxAV. Bringing context back into epidemiology: variables and fallacies in multilevel analysis. Am J Public Health.1998;88:216–222.
32.
McMillanTECubbinCParmenterBMedinaAVLeeRE. Neighborhood sampling: How many streets must an auditor walk?Int J Behav Nutr Phys Act.2010;7:7–20.
McCormackGRGiles-CortiBBulsaraM. The relationship between destination proximity, destination mix and physical activity behaviors. Prev Med.2008;46:33–40.
35.
HoehnerCMBrennan RamirezLKElliottMB. Perceived and objective environmental measures and physical activity among urban adults. Am J Prev Med.2005;28(2suppl 2):105–116.
36.
LeeRECubbinC. Striding toward social justice: the ecologic milieu of physical activity. Exerc Sport Sci Rev.2009;37:10–17.
37.
Brennan RamirezLKHoehnerCMBrownsonRC. Indicators of activity-friendly communities: an evidence-based consensus process. Am J Prev Med.2006;31:515–524.
38.
LeeRECubbinCWinklebyM. Contribution of neighbourhood socioeconomic status and physical activity resources to physical activity among women. J Epidemiol Community Health.2007;61:882–890.
39.
LackeyKJKaczynskiAT. Correspondence of perceived vs. objective proximity to parks and their relationship to park-based physical activity. Int J Behav Nutr Phys Act.2009;6:53.
