Abstract
The purpose of this study was to determine whether the availability and accessibility of physical activity resources differed by neighborhood socioeconomic status (SES) in a small U.S. city (population = 133,046). U.S. census tracts (N = 32) were used to represent neighborhoods and categorized into high, medium, or low SES on the basis of the percentage of unemployed individuals, per capita income, and percentage of the population below the poverty threshold. We developed a geographic information system to generate a comprehensive list of physical activity resources available within each census tract in the city. We identified 112 parks, 33 sport facilities, 15 fitness clubs, 11 community centers, and 5 walking/biking trails. The total number of physical activity resources varied by neighborhood SES (p > .05); low-SES (M = 4.5±2.3) and medium-SES (M = 4.9±2.6) neighborhoods had significantly fewer resources than high-SES (M = 8.4±3.5) neighborhoods. Low-, medium-, and high-SES neighborhoods did not differ on the number of pay-for-use facilities; however, low-SES (M = 3.1±1.5) and medium-SES (M = 3.8±1.6) neighborhoods had significantly fewer free-for-use resources than high- (M = 6.1±2.4) SES neighborhoods (p > .01). Data suggest that individuals from lower SES neighborhoods may have limited ability to control their physical activity in the face of inaccessible environments. Community research and promotion efforts should include assessment and targeting of available and accessible physical activity resources.
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Wannamethee SG, Shaper AG: Physical activity in the prevention of cardiovascular disease: An epidemiological perspective.Sports Medicine. 2001,31:101–114.
U.S. Department of Health and Human Services:Physical Activity and Health. Atlanta, GA: Public Health Service, Centers for Disease Control and Prevention, 1996.
Friedenreich CM: Physical activity and cancer prevention: From observational to intervention research.Cancer Epidemiology, Biomarkers and Prevention. 2001,10: 287–301.
Martinez ME, Giovannucci E, Spiegelman D, et al.: Leisure-time physical activity, body size, and colon cancer in women.Journal of the National Cancer Institute. 1997,89:948–955.
Sallis JF, Hovell MF, Hofstetter CR, et al.: Distance between homes and exercise facilities related to frequency of exercise among San Diego residents.Public Health Reports. 1990,105:179–185.
Troped PJ, Saunders RP, Pate RR, et al.: Associations between self-reported and objective physical environmental factors and use of a community rail-trail.Preventive Medicine. 2001,32:191–200.
Brownson RC, Baker EA, Housemann RA, Brennan LK, Bacek SJ: (2001). Environmental and policy determinants of physical activity in the United States.American Journal of Public Health. 2001,91:1995–2003.
Sallis JF, Johnson MF, Calfas KJ, Caparosa S, Nichols JF: Assessing perceived physical environmental variables that may influence physical activity.Research Quarterly for Exercise and Sport. 1997,68:345–351.
Lee RE, Castro CM, Albright C, Pruitt LA, King AC: Neighborhood topography and physical activity in ethnic minority women.Annals of Behavioral Medicine. 2000,22:S80.
MacIntyre S: The social patterning of exercise behaviors: The role of personal and local resources.British Journal of Sports Medicine. 2000,34:6.
Sundquist J, Malmstrom M, Johansson SE: Cardiovascular risk factors and the neighbourhood environment: A multilevel analysis.International Journal of Epidemiology. 1999,28:841–845.
Yen IH, Kaplan GA: Poverty area residence and changes in physical activity level: Evidence from the Alameda County Study.American Journal of Public Health. 1998,88:1709–1712.
Flay BR: Efficacy and effectiveness trials (and other phases of research) in the development of health promotion programs.Preventive Medicine. 1986,15:451–474.
South SJ, Crowder KD: Escaping distressed neighborhoods: Individual, community and metropolitan influences.American Journal of Sociology. 1997,102:1040–1084.
Krieger N: Overcoming the absence of socioeconomic data in medical records: Validation and application of a census-based methodology.American Journal of Public Health. 1992,92:703–710.
Epstein LH, Roemmich JN: Reducing sedentary behavior: Role in modifying physical activity.Exercise and Sport Sciences Reviews. 2001,2:103–108.
Heath GW, Smith JD: Physical activity patterns among adults in Georgia: Results from the 1990 Behavioral Risk Factor Surveillance System.Southern Medical Journal. 1994,87:435–439.
Troutt DD:The Thin Red Line: How the Poor Still Pay More. San Francisco: West Coast Regional Office of Consumers Union, 1993.
Yanek LR, Becker DM, Moy TF, Gittelsohn J, Koffman DM: Project Joy: Faith based cardiovascular health promotion for African American women.Public Health Reports. 2001,116:68–81.
Lee RE, Cubbin C: Neighborhood context and youth cardiovascular health behaviors.American Journal of Public Health. 2002,93:428–436.
Moore DA, Carpenter TE: Spatial analytical methods and geographic information systems: Use in health research and epidemiology.Epidemiologic Reviews. 1999,21:143–161.
Dishman RK, Buckworth J: Increasing physical activity: A quantitative synthesis.Medicine and Science in Sports and Exercise. 1996,28:706–719.
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We thank Dr. David Dzewaltowski and the Kansas State University Office of Community Health for providing intellectual and financial support for this study. We also acknowledge the KONZA Physical Activity Work Group, of which we are members, for its support.
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Estabrooks, P.A., Lee, R.E. & Gyurcsik, N.C. Resources for physical activity participation: Does availability and accessibility differ by neighborhood socioeconomic status?. ann. behav. med. 25, 100–104 (2003). https://doi.org/10.1207/S15324796ABM2502_05
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DOI: https://doi.org/10.1207/S15324796ABM2502_05