Literature DB >> 21965186

Proximity to food establishments and body mass index in the Framingham Heart Study offspring cohort over 30 years.

Jason P Block1, Nicholas A Christakis, A James O'Malley, S V Subramanian.   

Abstract

Existing evidence linking residential proximity to food establishments with body mass index (BMI; weight (kg)/height (m)(2)) has been inconclusive. In this study, the authors assessed the relation between BMI and proximity to food establishments over a 30-year period among 3,113 subjects in the Framingham Heart Study Offspring Cohort living in 4 Massachusetts towns during 1971-2001. The authors used novel data that included repeated measures of BMI and accounted for residential mobility and the appearance and disappearance of food establishments. They calculated proximity to food establishments as the driving distance between each subject's residence and nearby food establishments, divided into 6 categories. The authors used cross-classified linear mixed models to account for time-varying attributes of individuals and residential neighborhoods. Each 1-km increase in distance to the closest fast-food restaurant was associated with a 0.11-unit decrease in BMI (95% credible interval: -0.20, -0.04). In sex-stratified analyses, this association was present only for women. Other aspects of the food environment were either inconsistently associated or not at all associated with BMI. Contrary to much prior research, the authors did not find a consistent relation between access to fast-food restaurants and individual BMI, necessitating a reevaluation of policy discussions on the anticipated impact of the food environment on weight gain.

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Mesh:

Year:  2011        PMID: 21965186      PMCID: PMC3208142          DOI: 10.1093/aje/kwr244

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  30 in total

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3.  Neighborhood risk factors for obesity.

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5.  Weight status and restaurant availability a multilevel analysis.

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Journal:  Am J Prev Med       Date:  2008-02       Impact factor: 5.043

6.  Running to the store? The relationship between neighborhood environments and the risk of obesity.

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9.  Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures--the public health disparities geocoding project.

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10.  Body mass index, neighborhood fast food and restaurant concentration, and car ownership.

Authors:  Sanae Inagami; Deborah A Cohen; Arleen F Brown; Steven M Asch
Journal:  J Urban Health       Date:  2009-06-16       Impact factor: 3.671

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  75 in total

1.  The relationship between diet and perceived and objective access to supermarkets among low-income housing residents.

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2.  Effects of proximate foreclosed properties on individuals' weight gain in Massachusetts, 1987-2008.

Authors:  Mariana Arcaya; M Maria Glymour; Prabal Chakrabarti; Nicholas A Christakis; Ichiro Kawachi; S V Subramanian
Journal:  Am J Public Health       Date:  2013-07-18       Impact factor: 9.308

3.  Examination of how neighborhood definition influences measurements of youths' access to tobacco retailers: a methodological note on spatial misclassification.

Authors:  Dustin T Duncan; Ichiro Kawachi; S V Subramanian; Jared Aldstadt; Steven J Melly; David R Williams
Journal:  Am J Epidemiol       Date:  2013-10-22       Impact factor: 4.897

4.  Cohort of birth modifies the association between FTO genotype and BMI.

Authors:  James Niels Rosenquist; Steven F Lehrer; A James O'Malley; Alan M Zaslavsky; Jordan W Smoller; Nicholas A Christakis
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-29       Impact factor: 11.205

5.  Are your asset data as good as you think? Conducting a comprehensive census of built assets to improve urban population health.

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6.  Multilevel Correlates of Healthy BMI Maintenance and Return to a Healthy BMI among Children in Massachusetts.

Authors:  Lauren Fiechtner; Erika R Cheng; Gabriel Lopez; Mona Sharifi; Elsie M Taveras
Journal:  Child Obes       Date:  2017-01-11       Impact factor: 2.992

7.  Proximity to Fast-Food Outlets and Supermarkets as Predictors of Fast-Food Dining Frequency.

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Journal:  J Acad Nutr Diet       Date:  2016-02-28       Impact factor: 4.910

8.  Impact of Changes in Chain Restaurant Calories over Time on Obesity Risk.

Authors:  Sara N Bleich; Jesse C Jones-Smith; Marian P Jarlenski; Julia A Wolfson; Johannah M Frelier; Huiru Tao; Yuchen Hu; Anna Zink; Caroline G Dunn; Mark J Soto; Bradley J Herring
Journal:  J Gen Intern Med       Date:  2020-02-14       Impact factor: 5.128

9.  Association Between Living in Food Deserts and Cardiovascular Risk.

Authors:  Heval M Kelli; Muhammad Hammadah; Hina Ahmed; Yi-An Ko; Matthew Topel; Ayman Samman-Tahhan; Mossab Awad; Keyur Patel; Kareem Mohammed; Laurence S Sperling; Priscilla Pemu; Viola Vaccarino; Tene Lewis; Herman Taylor; Greg Martin; Gary H Gibbons; Arshed A Quyyumi
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-09

10.  Overweight and obesity: can we reconcile evidence about supermarkets and fast food retailers for public health policy?

Authors:  Deborah Viola; Peter S Arno; Andrew R Maroko; Clyde B Schechter; Nancy Sohler; Andrew Rundle; Kathryn M Neckerman; Juliana Maantay
Journal:  J Public Health Policy       Date:  2013-05-30       Impact factor: 2.222

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