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Residential property values predict prevalent obesity but do not predict 1 year weight change
OBJECTIVE: Lower socioeconomic status (SES) has been linked with higher obesity rates but not with weight gain. This study examined whether SES can predict short-term weight change. DESIGN AND METHODS: The Seattle Obesity Study II was based on an observational cohort of 440 adults. Weights and heigh...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340814/ https://www.ncbi.nlm.nih.gov/pubmed/25684713 http://dx.doi.org/10.1002/oby.20989 |
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author | Drewnowski, Adam Aggarwal, Anju Tang, Wesley Moudon, Anne Vernez |
author_facet | Drewnowski, Adam Aggarwal, Anju Tang, Wesley Moudon, Anne Vernez |
author_sort | Drewnowski, Adam |
collection | PubMed |
description | OBJECTIVE: Lower socioeconomic status (SES) has been linked with higher obesity rates but not with weight gain. This study examined whether SES can predict short-term weight change. DESIGN AND METHODS: The Seattle Obesity Study II was based on an observational cohort of 440 adults. Weights and heights were measured at baseline and at 1 y. Self-reported education and incomes were obtained by questionnaire. Home addresses were linked to tax parcel property values from the King Co. tax assessor. Associations among SES variables, prevalent obesity, and 1 y weight change were examined using multivariable linear regressions. RESULTS: Low residential property values at tax parcel predicted prevalent obesity at baseline and at 1 y. Living in the top quartile of house prices reduced obesity risk by 80% at both time points. At 1 year, about 38% of the sample lost >1kg body weight; 32% maintained (± 1kg), and 30% gained >1kg. In adjusted models, none of the baseline SES measures had any impact on 1 y weight change. CONCLUSIONS: SES variables, including tax parcel property values predicted prevalent obesity but did not predict short-term weight change. These findings, based on longitudinal cohort data, suggest other mechanisms are involved in short-term weight change. |
format | Online Article Text |
id | pubmed-4340814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
record_format | MEDLINE/PubMed |
spelling | pubmed-43408142016-03-01 Residential property values predict prevalent obesity but do not predict 1 year weight change Drewnowski, Adam Aggarwal, Anju Tang, Wesley Moudon, Anne Vernez Obesity (Silver Spring) Article OBJECTIVE: Lower socioeconomic status (SES) has been linked with higher obesity rates but not with weight gain. This study examined whether SES can predict short-term weight change. DESIGN AND METHODS: The Seattle Obesity Study II was based on an observational cohort of 440 adults. Weights and heights were measured at baseline and at 1 y. Self-reported education and incomes were obtained by questionnaire. Home addresses were linked to tax parcel property values from the King Co. tax assessor. Associations among SES variables, prevalent obesity, and 1 y weight change were examined using multivariable linear regressions. RESULTS: Low residential property values at tax parcel predicted prevalent obesity at baseline and at 1 y. Living in the top quartile of house prices reduced obesity risk by 80% at both time points. At 1 year, about 38% of the sample lost >1kg body weight; 32% maintained (± 1kg), and 30% gained >1kg. In adjusted models, none of the baseline SES measures had any impact on 1 y weight change. CONCLUSIONS: SES variables, including tax parcel property values predicted prevalent obesity but did not predict short-term weight change. These findings, based on longitudinal cohort data, suggest other mechanisms are involved in short-term weight change. 2015-02-13 2015-03 /pmc/articles/PMC4340814/ /pubmed/25684713 http://dx.doi.org/10.1002/oby.20989 Text en http://www.nature.com/authors/editorial_policies/license.html#terms 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 Drewnowski, Adam Aggarwal, Anju Tang, Wesley Moudon, Anne Vernez Residential property values predict prevalent obesity but do not predict 1 year weight change |
title | Residential property values predict prevalent obesity but do not predict 1 year weight change |
title_full | Residential property values predict prevalent obesity but do not predict 1 year weight change |
title_fullStr | Residential property values predict prevalent obesity but do not predict 1 year weight change |
title_full_unstemmed | Residential property values predict prevalent obesity but do not predict 1 year weight change |
title_short | Residential property values predict prevalent obesity but do not predict 1 year weight change |
title_sort | residential property values predict prevalent obesity but do not predict 1 year weight change |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340814/ https://www.ncbi.nlm.nih.gov/pubmed/25684713 http://dx.doi.org/10.1002/oby.20989 |
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