The effects of neighborhood density and street connectivity on walking behavior: the Twin Cities walking study
Tóm tắt
A growing body of health and policy research suggests residential neighborhood density and street connectivity affect walking and total physical activity, both of which are important risk factors for obesity and related chronic diseases. The authors report results from their methodologically novel Twin Cities Walking Study; a multilevel study which examined the relationship between built environments, walking behavior and total physical activity. In order to maximize neighborhood-level variation while maintaining the exchangeability of resident-subjects, investigators sampled 716 adult persons nested in 36 randomly selected neighborhoods across four strata defined on density and street-connectivity – a matched sampling design. Outcome measures include two types of self-reported walking (from surveys and diaries) and so-called objective 7-day accelerometry measures. While crude differences are evident across all outcomes, adjusted effects show increased odds of travel walking in higher-density areas and increased odds of leisure walking in low-connectivity areas, but neither density nor street connectivity are meaningfully related to overall mean miles walked per day or increased total physical activity. Contrary to prior research, the authors conclude that the effects of density and block size on total walking and physical activity are modest to non-existent, if not contrapositive to hypotheses. Divergent findings are attributed to this study's sampling design, which tends to mitigate residual confounding by socioeconomic status.
Tài liệu tham khảo
Harnack LJ, Schmitz KH: The Role of Nutrition and Physical Activity in the Obesity Epidemic. Obesity Prevention in the 21st Century: Public Health Approaches to Tackle the Obesity Pandemic (Edited by: Crawford D, Jeffery R). New York: Oxford 2006.
Owen N, Humpel N, Leslie E, Bauman A, Sallis JF: Understanding environmental influences on walking; Review and research agenda. Am J Prev Med 2004, 27:67–76.
Pikora T, Giles-Corti B, Bull F, Jamrozik K, Donovan R: Developing a framework for assessment of the environmental determinants of walking and cycling. Soc Sci Med 2003, 56:1693–703.
McGuckin N, Srinivasan N: Journey to Work Trends in the United States and its MAjor Metropolitan Areas 1960 – 2000. Report FHWA-EP-03–058 Washington, DC 2003.
Simpson ME, Serdula M, Galuska DA, Gillespie R, Macera C, Mack K: Walking trends among U.S. adults: the Behavioral Risk Factor Surveillance System, 1987–2000. Am J Prev Med 2003, 25:95–100.
Lumsdon L, Mitchell J: Walking, transport and health: Do we have the right prescription? Health Promotion International 1999, 14:271–9.
Pendall R, Fulton W, Harrison A: Losing ground on sprawl? Density trends in metropolitan America. Fair Growth Conference Washington DC: Fannie Mae Foundation. 2000.
Berrigan D, Troiano R: The Association Between Urban Form and Physical Activity in US Adults. American Journal of Preventive Medicine 2003, 23:74–9.
Frank L, Engelke P: The built environment and human activity patterns: exploring the impacts of urban form on public health. Journal of Planning Literature 2001, 16:202–18.
Frank LD, Schmid TL, Sallis JF, Chapman J, Saelens BE: Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. Am J Prev Med 2005, 28:117–25.
Lee C, Moudon AV: Correlates of Walking for Transportation or Recreation Purposes. Journal of Physical Activty and Health 2006, 3:S77-S98.
Saelens BE, Sallis JF, Black JB, Chen D: Neighborhood-based differences in physical activity: an environment scale evaluation. Am J Public Health 2003, 93:1552–8.
Sallis JF, Bauman A, Pratt M: Environmental and policy interventions to promote physical activity. Am J Prev Med 1998, 15:379–97.
Saelens BE, Sallis JF, Frank LD: Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. Ann Behav Med 2003, 25:80–91.
Beatley T: Green urbanism: Learning from European cities Washington DC: Island Press 2000.
Takano T, Nakamura K, Watanabe M: Urban residential environments and senior citizens' longevity in megacity areas: the importance of walkable green spaces. J Epidemiol Community Health 2002, 56:913–8.
Forsyth A, Oakes JM, Schmitz KH: Does residential density increase walking and other physical activity? Urban Studies, in press.
Frank L, Pivo G: Impacts of mixed use and density utilization of three modes of travel: single-occupant vehicle, transit, and walking. Transportation Research Record 1994, 1466:44–52.
Oakes JM: The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. Soc Sci Med 2004, 58:1929–52.
Oakes JM: Advancing Neighborhood Effects Research: Selection, Inferential Support, and Structural Confounding. International Journal of Epidemiology 2006, 35:643–7.
Oakes JM, Johnson PJ: Propensity score matching methods for social epidemiology. Methods in Social Epidemiology (Edited by: Oakes JM, Kaufman JS). San Francisco: Jossey-Bass 2006, 370–92.
Tiebout CM: A Pure Theory of Local Expenditures. The Journal of Political Economy 1956, 64:416–24.
Leventhal T, Brooks-Gunn J: Moving to opportunity: an experimental study of neighborhood effects on mental health. Am J Public Health 2003, 93:1576–82.
Molotch H: The City as a Growth Machine: Toward a Political Economy of Place. American Journal of Sociology 1976, 82:302–32.
Oreopoulos P: The Long-run consequences of living in a poor neighborhood. The quarterly journal of economics 2003, 118:1533–75.
Cervero R, Duncan M: Walking, bicycling, and urban landscapes: evidence from the San Francisco Bay Area. Am J Public Health 2003, 93:1478–83.
Ewing R, Schmid T, Killingsworth R, et al.: Relationship between urban sprawl and physical activity, obesity, and morbidity. Am J Health Promot 2003, 18:47–57.
Schutz Y, Weinsier RL, Hunter GR: Assessment of free-living physical activity in humans: an overview of currently available and proposed new measures. Obes Res 2001, 9:368–79.
Craig CL, Marshall AL, Sjostrom M, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P: International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003, 35:1381–95.
Trost SG, Pate RR, Freedson PS, Sallis JF, Taylor WC: Using objective physical activity measures with youth: how many days of monitoring are needed? Med Sci Sports Exerc 2000, 32:426–31.
Matthews CE, Ainsworth BE, Thompson RW, Bassett DR: Sources of variance in daily physical activity levels as measured by an accelerometer. Med Sci Sports Exerc 2002, 34:1376–81.
Freedson P, Malanson E, Sirard J: Calibration of the Computer Science and Applications, Inc accelerometer. Med Sci Sports Exerc 1998, 30:777–81.
Ward DS, Evenson KR, Vaughn A, Rodgers AB, Troiano RP: Accelerometer use in physical activity: best practices and research recommendations. Med Sci Sports Exerc 2005, 37:S582–8.
Dill J: Measuring network connectivity for bicycling and walking. Joint Congress of ACSP-AESOP Leuven, Belgium 2003.
Steiner R, Bond A, Miller D, Sand P: Future Directions for Multimodal Areawide Level of Service Handbook: Research and Development. The Florida Department of Transportation, Office of Systems Planning, Contract BC-345–78 2004.
Forsyth A, Schmitz K, Hearst MO, Oakes JM: Design and Destinations: Factors Influencing Walking and Total Physical Activity. Urban Studies, in press.
McCullagh P: Regression models for ordinal data. Journal of the royal Statistical Society, Series B 1980, 42:109–42.
Woolridge JM: Econometric Analysis of Cross Section and Panel Data Cambridge, MA: MIT Press 2002.
Efron B, Tibshirani R: An Introduction to the Bootstrap NY: Chapman & Hall 1993.
Hamlin C: The history of methods of social epidemiology to 1965. Methods in Social Epidemiology (Edited by: Oakes JM, Kaufman JS). San Francisco: Jossey-Bass/Wiley 2006, 21–44.
Li F, Fisher KJ, Brownson RC, Bosworth M: Multilevel modelling of built environment characteristics related to neighbourhood walking activity in older adults. J Epidemiol Community Health 2005, 59:558–64.
Galobardes B, Shaw M, Lawlor D, Davey Smith G, Lynch J: Indicators of Socioeconomic Position. Methods in Social Epidemiology (Edited by: Oakes JM, Kaufman JS). San Francisco: Jossey-Bass/Wiley 2006, 47–85.
Kaufman JS, Cooper RS, McGee DL: Socioeconomic status and health in blacks and whites: the problem of residual confounding and the resiliency of race. Epidemiology 1997, 8:621–8.
Greenland S, Robins JM: Identifiability, exchangeability, and epidemiological confounding. Int J Epidemiol 1986, 15:413–9.
Rosenbaum PR: Observational Studies New York: Springer Verlag 2002.