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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...

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Autores principales: Drewnowski, Adam, Aggarwal, Anju, Tang, Wesley, Moudon, Anne Vernez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
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.
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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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