The Urban Built Environment and Obesity in New York City: A Multilevel Analysis
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. S...
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Published in | American journal of health promotion Vol. 21; no. 4_suppl; pp. 326 - 334 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Los Angeles, CA
SAGE Publications
01.03.2007
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Subjects | |
Online Access | Get full text |
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Abstract | 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 = 2.55, 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 adjustment for 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. |
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AbstractList | To examine whether urban form is associated with body size within a densely-settled city.PURPOSETo examine whether urban form is associated with body size within a densely-settled city.Cross-sectional analysis using multilevel modeling to relate body mass index (BMI) to built environment resources.DESIGNCross-sectional analysis using multilevel modeling to relate body mass index (BMI) to built environment resources.Census tracts (n = 1989) within the five boroughs of New York City.SETTINGCensus tracts (n = 1989) within the five boroughs of New York City.Adult volunteers (n = 13,102) from the five boroughs of New York City recruited between January 2000 and December 2002.SUBJECTSAdult volunteers (n = 13,102) from the five boroughs of New York City recruited between January 2000 and December 2002.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.MEASURESThe 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.Cross-sectional multilevel analyses.ANALYSISCross-sectional multilevel analyses.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.RESULTSMixed 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.BMI is associated with built environment characteristics in New York City.CONCLUSIONBMI 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 adjustment for 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 = 2.55, 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 adjustment for 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. To examine whether urban form is associated with body size within a densely-settled city. Cross-sectional analysis using multilevel modeling to relate body mass index (BMI) to built environment resources. Census tracts (n = 1989) within the five boroughs of New York City. Adult volunteers (n = 13,102) from the five boroughs of New York City recruited between January 2000 and December 2002. 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. Cross-sectional multilevel analyses. 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. BMI is associated with built environment characteristics in New York City. |
Author | Freeman, Lance M. Neckerman, Kathryn M. Roux, Ana V. Diez Rundle, Andrew Miller, Douglas Weiss, Christopher C. |
Author_xml | – sequence: 1 givenname: Andrew surname: Rundle fullname: Rundle, Andrew organization: Andrew Rundle, DrPH, is with the Department of Epidemiology, Mailman School of Public Health, New York, New York. Ana V. Diez Roux, MD, PhD, MPH, is with the Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan. Lance M. Freeman, PhD, is with the Graduate School of Architecture, Planning and Preservation; and Douglas Miller, MS, Kathryn M. Neckerman, PhD, and Christopher C. Weiss, PhD, are with the Institute for Social and Economic Research and Policy, Columbia University, New York, New York – sequence: 2 givenname: Ana V. Diez surname: Roux fullname: Roux, Ana V. Diez organization: Andrew Rundle, DrPH, is with the Department of Epidemiology, Mailman School of Public Health, New York, New York. Ana V. Diez Roux, MD, PhD, MPH, is with the Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan. Lance M. Freeman, PhD, is with the Graduate School of Architecture, Planning and Preservation; and Douglas Miller, MS, Kathryn M. Neckerman, PhD, and Christopher C. Weiss, PhD, are with the Institute for Social and Economic Research and Policy, Columbia University, New York, New York – sequence: 3 givenname: Lance M. surname: Freeman fullname: Freeman, Lance M. organization: Andrew Rundle, DrPH, is with the Department of Epidemiology, Mailman School of Public Health, New York, New York. Ana V. Diez Roux, MD, PhD, MPH, is with the Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan. Lance M. Freeman, PhD, is with the Graduate School of Architecture, Planning and Preservation; and Douglas Miller, MS, Kathryn M. Neckerman, PhD, and Christopher C. Weiss, PhD, are with the Institute for Social and Economic Research and Policy, Columbia University, New York, New York – sequence: 4 givenname: Douglas surname: Miller fullname: Miller, Douglas organization: Andrew Rundle, DrPH, is with the Department of Epidemiology, Mailman School of Public Health, New York, New York. Ana V. Diez Roux, MD, PhD, MPH, is with the Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan. Lance M. Freeman, PhD, is with the Graduate School of Architecture, Planning and Preservation; and Douglas Miller, MS, Kathryn M. Neckerman, PhD, and Christopher C. Weiss, PhD, are with the Institute for Social and Economic Research and Policy, Columbia University, New York, New York – sequence: 5 givenname: Kathryn M. surname: Neckerman fullname: Neckerman, Kathryn M. organization: Andrew Rundle, DrPH, is with the Department of Epidemiology, Mailman School of Public Health, New York, New York. Ana V. Diez Roux, MD, PhD, MPH, is with the Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan. Lance M. Freeman, PhD, is with the Graduate School of Architecture, Planning and Preservation; and Douglas Miller, MS, Kathryn M. Neckerman, PhD, and Christopher C. Weiss, PhD, are with the Institute for Social and Economic Research and Policy, Columbia University, New York, New York – sequence: 6 givenname: Christopher C. surname: Weiss fullname: Weiss, Christopher C. organization: Andrew Rundle, DrPH, is with the Department of Epidemiology, Mailman School of Public Health, New York, New York. Ana V. Diez Roux, MD, PhD, MPH, is with the Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan. Lance M. Freeman, PhD, is with the Graduate School of Architecture, Planning and Preservation; and Douglas Miller, MS, Kathryn M. Neckerman, PhD, and Christopher C. Weiss, PhD, are with the Institute for Social and Economic Research and Policy, Columbia University, New York, New York |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/17465178$$D View this record in MEDLINE/PubMed |
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Keywords | Body Mass Index Manuscript format: research Target population circumstances: education/income level, geographic location, and race/ethnicity Health focus: weight control Land Use Mix Prevention Research Outcome measure: biometric Public Transit Strategy: built environment Population Density Target population: adults Research purpose: modeling/relationship testing Setting: local community Study design: nonexperimental |
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To examine whether urban form is associated with body size within a densely-settled city.
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Cross-sectional analysis using multilevel modeling... To examine whether urban form is associated with body size within a densely-settled city. Cross-sectional analysis using multilevel modeling to relate body... Purpose. To examine whether urban form is associated with body size within a densely-settled city. Design. Cross-sectional analysis using multilevel modeling... To examine whether urban form is associated with body size within a densely-settled city.PURPOSETo examine whether urban form is associated with body size... |
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SubjectTerms | Adult Body Mass Index Cross-Sectional Studies Environment Design Female Health Status Indicators Humans Life Style Male Middle Aged New York City - epidemiology Obesity - epidemiology Population Density Prevalence Residence Characteristics Socioeconomic Factors Urban Health - statistics & numerical data |
Title | The Urban Built Environment and Obesity in New York City: A Multilevel Analysis |
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