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 inAmerican journal of health promotion Vol. 21; no. 4_suppl; pp. 326 - 334
Main Authors Rundle, Andrew, Roux, Ana V. Diez, Freeman, Lance M., Miller, Douglas, Neckerman, Kathryn M., Weiss, Christopher C.
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.03.2007
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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.
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.
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  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
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  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
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  givenname: Douglas
  surname: Miller
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  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
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  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
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  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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Issue 4_suppl
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
Language English
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Snippet 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. 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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StartPage 326
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
URI https://journals.sagepub.com/doi/full/10.4278/0890-1171-21.4s.326
https://www.ncbi.nlm.nih.gov/pubmed/17465178
https://www.proquest.com/docview/19626811
https://www.proquest.com/docview/70431317
Volume 21
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