| Patterns of obesogenic neighborhood features and adolescent weight: a comparison of statistical approaches. | |
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MedLine Citation:
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PMID: 22516505 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND: Few studies have addressed the potential influence of neighborhood characteristics on adolescent obesity risk, and findings have been inconsistent. PURPOSE: Identify patterns among neighborhood food, physical activity, street/transportation, and socioeconomic characteristics and examine their associations with adolescent weight status using three statistical approaches. METHODS: Anthropometric measures were taken on 2682 adolescents (53% female, mean age=14.5 years) from 20 Minneapolis/St. Paul MN schools in 2009-2010. Neighborhood environmental variables were measured using GIS data and by survey. Gender-stratified regressions related to BMI z-scores and obesity to (1) separate neighborhood variables; (2) composites formed using factor analysis; and (3) clusters identified using spatial latent class analysis in 2012. RESULTS: Regressions on separate neighborhood variables found a low percentage of parks/recreation, and low perceived safety were associated with higher BMI z-scores in boys and girls. Factor analysis found five factors: away-from-home food and recreation accessibility, community disadvantage, green space, retail/transit density, and supermarket accessibility. The first two factors were associated with BMI z-score in girls but not in boys. Spatial latent class analysis identified six clusters with complex combinations of both positive and negative environmental influences. In boys, the cluster with highest obesity (29.8%) included low SES, parks/recreation, and safety; high restaurant and convenience store density; and nearby access to gyms, supermarkets, and many transit stops. CONCLUSIONS: The mix of neighborhood-level barriers and facilitators of weight-related health behaviors leads to difficulties disentangling their associations with adolescent obesity; however, statistical approaches including factor and latent class analysis may provide useful means for addressing this complexity. |
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Authors:
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Melanie M Wall; Nicole I Larson; Ann Forsyth; David C Van Riper; Dan J Graham; Mary T Story; Dianne Neumark-Sztainer |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: American journal of preventive medicine Volume: 42 ISSN: 1873-2607 ISO Abbreviation: Am J Prev Med Publication Date: 2012 May |
Date Detail:
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Created Date: 2012-04-20 Completed Date: 2012-08-15 Revised Date: 2013-05-20 |
Medline Journal Info:
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Nlm Unique ID: 8704773 Medline TA: Am J Prev Med Country: Netherlands |
Other Details:
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Languages: eng Pagination: e65-75 Citation Subset: IM |
Copyright Information:
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Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Biostatistics, Columbia University, New York 10032, USA. mmw2177@columbia.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Body Mass Index Body Weight* Crime / statistics & numerical data Environment* Exercise Female Food Humans Male Minnesota Obesity / epidemiology*, prevention & control Residence Characteristics / statistics & numerical data* Social Environment Socioeconomic Factors Sociology, Medical Transportation / statistics & numerical data |
| Grant Support | |
ID/Acronym/Agency:
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1U01HD061940/HD/NICHD NIH HHS; R01 HL084064/HL/NHLBI NIH HHS; R01HL084064/HL/NHLBI NIH HHS; R24 HD041023/HD/NICHD NIH HHS; U01 HD061940/HD/NICHD NIH HHS |
| Comments/Corrections | |
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