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Movers and Stayers: How Residential Selection Contributes to the Association between Female Body Mass Index and Neighbourhood Characteristics
BACKGROUND/OBJECTIVES: To examine how a woman's current Body Mass Index (BMI) is associated with non-random residential migration that is based on the average BMI of her origin and destination neighbourhoods. SUBJECTS/METHODS: Among women having at least two children, all birth certificates fro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014692/ https://www.ncbi.nlm.nih.gov/pubmed/27133620 http://dx.doi.org/10.1038/ijo.2016.78 |
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author | Smith, Ken R. Hanson, Heidi A. Brown, Barbara B. Zick, Cathleen D. Kowaleski-Jones, Lori Fan, Jessie X. |
author_facet | Smith, Ken R. Hanson, Heidi A. Brown, Barbara B. Zick, Cathleen D. Kowaleski-Jones, Lori Fan, Jessie X. |
author_sort | Smith, Ken R. |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: To examine how a woman's current Body Mass Index (BMI) is associated with non-random residential migration that is based on the average BMI of her origin and destination neighbourhoods. SUBJECTS/METHODS: Among women having at least two children, all birth certificates from Salt Lake County from 1989-2010 (n=34,010) were used to obtain pre-pregnancy weights prior to the first and second births, residential location and socio-demographic information. Census data were used for measures of walkability of neighbourhoods. RESULTS: After adjustments for age, education, race/ethnicity, and marital status, obese women living in the leanest neighbourhoods are found to be three times more likely (OR= 3.03, 95% CI 2.06-4.47) to move to the heaviest neighbourhoods relative to women with healthy weight (BMI between 18-25). Conversely, obese women in the heaviest neighbourhoods are 60% less likely (OR=0.39, 95% CI: 0.22-0.69) to move to the leanest neighbourhoods relative to healthy weight women. Indicators of relatively greater walkability (older housing, greater proportion of residents who walk to work) and higher median family income characterize leaner neighbourhoods. CONCLUSIONS: The findings are consistent with the hypothesis that non-random selection into and out of neighbourhoods accounts for some of the association between BMI and neighbourhood characteristics. |
format | Online Article Text |
id | pubmed-5014692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-50146922016-11-02 Movers and Stayers: How Residential Selection Contributes to the Association between Female Body Mass Index and Neighbourhood Characteristics Smith, Ken R. Hanson, Heidi A. Brown, Barbara B. Zick, Cathleen D. Kowaleski-Jones, Lori Fan, Jessie X. Int J Obes (Lond) Article BACKGROUND/OBJECTIVES: To examine how a woman's current Body Mass Index (BMI) is associated with non-random residential migration that is based on the average BMI of her origin and destination neighbourhoods. SUBJECTS/METHODS: Among women having at least two children, all birth certificates from Salt Lake County from 1989-2010 (n=34,010) were used to obtain pre-pregnancy weights prior to the first and second births, residential location and socio-demographic information. Census data were used for measures of walkability of neighbourhoods. RESULTS: After adjustments for age, education, race/ethnicity, and marital status, obese women living in the leanest neighbourhoods are found to be three times more likely (OR= 3.03, 95% CI 2.06-4.47) to move to the heaviest neighbourhoods relative to women with healthy weight (BMI between 18-25). Conversely, obese women in the heaviest neighbourhoods are 60% less likely (OR=0.39, 95% CI: 0.22-0.69) to move to the leanest neighbourhoods relative to healthy weight women. Indicators of relatively greater walkability (older housing, greater proportion of residents who walk to work) and higher median family income characterize leaner neighbourhoods. CONCLUSIONS: The findings are consistent with the hypothesis that non-random selection into and out of neighbourhoods accounts for some of the association between BMI and neighbourhood characteristics. 2016-05-02 2016-09 /pmc/articles/PMC5014692/ /pubmed/27133620 http://dx.doi.org/10.1038/ijo.2016.78 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Smith, Ken R. Hanson, Heidi A. Brown, Barbara B. Zick, Cathleen D. Kowaleski-Jones, Lori Fan, Jessie X. Movers and Stayers: How Residential Selection Contributes to the Association between Female Body Mass Index and Neighbourhood Characteristics |
title | Movers and Stayers: How Residential Selection Contributes to the Association between Female Body Mass Index and Neighbourhood Characteristics |
title_full | Movers and Stayers: How Residential Selection Contributes to the Association between Female Body Mass Index and Neighbourhood Characteristics |
title_fullStr | Movers and Stayers: How Residential Selection Contributes to the Association between Female Body Mass Index and Neighbourhood Characteristics |
title_full_unstemmed | Movers and Stayers: How Residential Selection Contributes to the Association between Female Body Mass Index and Neighbourhood Characteristics |
title_short | Movers and Stayers: How Residential Selection Contributes to the Association between Female Body Mass Index and Neighbourhood Characteristics |
title_sort | movers and stayers: how residential selection contributes to the association between female body mass index and neighbourhood characteristics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014692/ https://www.ncbi.nlm.nih.gov/pubmed/27133620 http://dx.doi.org/10.1038/ijo.2016.78 |
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