PURPOSE: To examine whether urban form is associated with body size within a densely-settled city. DESIGN: Cross-sectional analysis using multilevel modeling to relate body mass index (BMI) to built environment resources. SETTING: Census tracts (n = 1989) within the five boroughs of New York City. SUBJECTS: Adult volunteers (n = 13,102) from the five boroughs of New York City recruited between January 2000 and December 2002. MEASURES: The dependent variable was objectively-measured BMI. Independent variables included land use mix; bus and subway stop density; population density; and intersection density. Covariates included age, gender, race, education, and census tract-level poverty and race/ethnicity. ANALYSIS: Cross-sectional multilevel analyses. RESULTS: Mixed land use (Beta = -.55, p < .01), density of bus stops (Beta = -.01, p < .01) and subway stops (Beta = -.06, p < .01), and population density (Beta = -.25, p < .001), but not intersection density (Beta = -. 002) were significantly inversely associated with BMI after adjustmentfor individual- and neighborhood-level sociodemographic characteristics. Comparing the 90th to the 10th percentile of each built environment variable, the predicted adjusted difference in BMI with increased mixed land use was -. 41 units, with bus stop density was -.33 units, with subway stop density was -.34 units, and with population density was -.86 units. CONCLUSION: BMI is associated with built environment characteristics in New York City.
PURPOSE: To examine whether urban form is associated with body size within a densely-settled city. DESIGN: Cross-sectional analysis using multilevel modeling to relate body mass index (BMI) to built environment resources. SETTING: Census tracts (n = 1989) within the five boroughs of New York City. SUBJECTS: Adult volunteers (n = 13,102) from the five boroughs of New York City recruited between January 2000 and December 2002. MEASURES: The dependent variable was objectively-measured BMI. Independent variables included land use mix; bus and subway stop density; population density; and intersection density. Covariates included age, gender, race, education, and census tract-level poverty and race/ethnicity. ANALYSIS: Cross-sectional multilevel analyses. RESULTS: Mixed land use (Beta = -.55, p < .01), density of bus stops (Beta = -.01, p < .01) and subway stops (Beta = -.06, p < .01), and population density (Beta = -.25, p < .001), but not intersection density (Beta = -. 002) were significantly inversely associated with BMI after adjustmentfor individual- and neighborhood-level sociodemographic characteristics. Comparing the 90th to the 10th percentile of each built environment variable, the predicted adjusted difference in BMI with increased mixed land use was -. 41 units, with bus stop density was -.33 units, with subway stop density was -.34 units, and with population density was -.86 units. CONCLUSION: BMI is associated with built environment characteristics in New York City.
Authors: Shannon N Zenk; Amy J Schulz; Angela M Odoms-Young; Joellen Wilbur; Stephen Matthews; Cindy Gamboa; Lani R Wegrzyn; Susan Hobson; Carmen Stokes Journal: J Phys Act Health Date: 2011-09-13
Authors: Gina S Lovasi; Kathryn M Neckerman; James W Quinn; Christopher C Weiss; Andrew Rundle Journal: Am J Public Health Date: 2008-12-04 Impact factor: 9.308
Authors: Andrew Rundle; Sam Field; Yoosun Park; Lance Freeman; Christopher C Weiss; Kathryn Neckerman Journal: Soc Sci Med Date: 2008-10-25 Impact factor: 4.634
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