Mortgage possessions, spatial inequality, and obesity in large US metropolitan areas
As social determinants of health, mortgage possessions (primarily foreclosures in the US context) and housing instability have been associated with certain mental and physical health outcomes at the individual level. However, individual risks of foreclosure and of poor health are spatially patterned...
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Veröffentlicht in: | Public health (London) 2020-04, Vol.181, p.86-93 |
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description | As social determinants of health, mortgage possessions (primarily foreclosures in the US context) and housing instability have been associated with certain mental and physical health outcomes at the individual level. However, individual risks of foreclosure and of poor health are spatially patterned. The objective of this study is to examine the extent to which area-specific social and economic characteristics help explain the relationship between mortgage possessions and obesity prevalence in 75 of the 100 most populous US metropolitan areas.
This is a cross-sectional study.
The study relies on three sources of data: the Selected Metropolitan/Micropolitan Area Risk Trends (SMART) project, RealtyTrac foreclosure data, and the American Community Survey. Focal social and economic characteristics include foreclosure rates, levels of racial residential segregation, and poverty. Obesity prevalence and several control measures for each metropolitan area are also used. Ordinary least squares regression, weighted using the SMART project data, is used, and statistical significance is set at 0.05.
The results suggest that mortgage possessions are independently associated with higher obesity prevalence and that foreclosures operate through the specific channel of racial residential segregation and its tie to the racial composition of a metropolitan area. Socio-economic status of an area, and not poverty, is related to foreclosures and obesity prevalence.
Mortgage possessions not only are socio-economic but also have negative health consequences, such as obesity. The findings provide an empirical base for other researchers to uncover the relationships between segregation, mortgage possessions, and obesity at the individual level of analysis. The public health community should be engaged in addressing the issue of foreclosures in the US because the failure to engage may have broad financial and health consequences across large cities.
•Racial segregation contributes to the link between mortgage possessions and obesity rates.•Metropolitan educational levels, not poverty levels, are predictive of foreclosure.•Healthcare and mortgage counseling organizational partnerships should be considered. |
doi_str_mv | 10.1016/j.puhe.2019.11.021 |
format | Article |
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This is a cross-sectional study.
The study relies on three sources of data: the Selected Metropolitan/Micropolitan Area Risk Trends (SMART) project, RealtyTrac foreclosure data, and the American Community Survey. Focal social and economic characteristics include foreclosure rates, levels of racial residential segregation, and poverty. Obesity prevalence and several control measures for each metropolitan area are also used. Ordinary least squares regression, weighted using the SMART project data, is used, and statistical significance is set at 0.05.
The results suggest that mortgage possessions are independently associated with higher obesity prevalence and that foreclosures operate through the specific channel of racial residential segregation and its tie to the racial composition of a metropolitan area. Socio-economic status of an area, and not poverty, is related to foreclosures and obesity prevalence.
Mortgage possessions not only are socio-economic but also have negative health consequences, such as obesity. The findings provide an empirical base for other researchers to uncover the relationships between segregation, mortgage possessions, and obesity at the individual level of analysis. The public health community should be engaged in addressing the issue of foreclosures in the US because the failure to engage may have broad financial and health consequences across large cities.
•Racial segregation contributes to the link between mortgage possessions and obesity rates.•Metropolitan educational levels, not poverty levels, are predictive of foreclosure.•Healthcare and mortgage counseling organizational partnerships should be considered.</description><identifier>ISSN: 0033-3506</identifier><identifier>EISSN: 1476-5616</identifier><identifier>DOI: 10.1016/j.puhe.2019.11.021</identifier><identifier>PMID: 31978778</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Economics ; Empirical analysis ; Foreclosure ; Health status ; Housing ; Inequality ; Mental health ; Metropolitan areas ; Mortgage Possession ; Obesity ; Poverty ; Public health ; Regression analysis ; Residential segregation ; Segregation ; Social factors ; Socioeconomic factors ; Socioeconomic status ; Socioeconomics ; Statistical analysis ; Statistical significance</subject><ispartof>Public health (London), 2020-04, Vol.181, p.86-93</ispartof><rights>2019 The Royal Society for Public Health</rights><rights>Copyright © 2019 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Apr 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-2b68ef1b004d27042f4042c79b64d401f9fddd650b882700d5b7345ec2586ca3</citedby><cites>FETCH-LOGICAL-c384t-2b68ef1b004d27042f4042c79b64d401f9fddd650b882700d5b7345ec2586ca3</cites><orcidid>0000-0003-2933-9836</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.puhe.2019.11.021$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,30982,45978</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31978778$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jones, A.</creatorcontrib><creatorcontrib>Mamudu, H.M.</creatorcontrib><creatorcontrib>Squires, G.D.</creatorcontrib><title>Mortgage possessions, spatial inequality, and obesity in large US metropolitan areas</title><title>Public health (London)</title><addtitle>Public Health</addtitle><description>As social determinants of health, mortgage possessions (primarily foreclosures in the US context) and housing instability have been associated with certain mental and physical health outcomes at the individual level. However, individual risks of foreclosure and of poor health are spatially patterned. The objective of this study is to examine the extent to which area-specific social and economic characteristics help explain the relationship between mortgage possessions and obesity prevalence in 75 of the 100 most populous US metropolitan areas.
This is a cross-sectional study.
The study relies on three sources of data: the Selected Metropolitan/Micropolitan Area Risk Trends (SMART) project, RealtyTrac foreclosure data, and the American Community Survey. Focal social and economic characteristics include foreclosure rates, levels of racial residential segregation, and poverty. Obesity prevalence and several control measures for each metropolitan area are also used. Ordinary least squares regression, weighted using the SMART project data, is used, and statistical significance is set at 0.05.
The results suggest that mortgage possessions are independently associated with higher obesity prevalence and that foreclosures operate through the specific channel of racial residential segregation and its tie to the racial composition of a metropolitan area. Socio-economic status of an area, and not poverty, is related to foreclosures and obesity prevalence.
Mortgage possessions not only are socio-economic but also have negative health consequences, such as obesity. The findings provide an empirical base for other researchers to uncover the relationships between segregation, mortgage possessions, and obesity at the individual level of analysis. The public health community should be engaged in addressing the issue of foreclosures in the US because the failure to engage may have broad financial and health consequences across large cities.
•Racial segregation contributes to the link between mortgage possessions and obesity rates.•Metropolitan educational levels, not poverty levels, are predictive of foreclosure.•Healthcare and mortgage counseling organizational partnerships should be considered.</description><subject>Economics</subject><subject>Empirical analysis</subject><subject>Foreclosure</subject><subject>Health status</subject><subject>Housing</subject><subject>Inequality</subject><subject>Mental health</subject><subject>Metropolitan areas</subject><subject>Mortgage Possession</subject><subject>Obesity</subject><subject>Poverty</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Residential segregation</subject><subject>Segregation</subject><subject>Social factors</subject><subject>Socioeconomic factors</subject><subject>Socioeconomic status</subject><subject>Socioeconomics</subject><subject>Statistical analysis</subject><subject>Statistical significance</subject><issn>0033-3506</issn><issn>1476-5616</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp9kE2L1TAUhoMoznX0D7iQghsX03rynYIbGfyCERde1yFNTsdceptO0grz783lji5cuElI8rzvCQ8hLyl0FKh6e-iW7Sd2DGjfUdoBo4_IjgqtWqmoekx2AJy3XIK6IM9KOQAA01w-JRec9tpobXZk_zXl9dbdYrOkUrCUmOZy1ZTFrdFNTZzxbnNTXO-vGjeHJg1Y6qHeN5PLNfXje3PENaclVcjNjcvoynPyZHRTwRcP-yXZf_ywv_7c3nz79OX6_U3ruRFrywZlcKQDgAhMg2CjqIvX_aBEEEDHfgwhKAmDMfUdghw0FxI9k0Z5xy_Jm3PtktPdhmW1x1g8TpObMW3FsgpL0CB5RV__gx7Sluf6OctEHQUGelMpdqZ8rjIyjnbJ8ejyvaVgT8rtwZ6U25NyS6mtymvo1UP1Nhwx_I38cVyBd2cAq4pfEbMtPuLsMcSMfrUhxf_1_wYLj5Fk</recordid><startdate>202004</startdate><enddate>202004</enddate><creator>Jones, A.</creator><creator>Mamudu, H.M.</creator><creator>Squires, G.D.</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>ASE</scope><scope>C1K</scope><scope>FPQ</scope><scope>H94</scope><scope>K6X</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2933-9836</orcidid></search><sort><creationdate>202004</creationdate><title>Mortgage possessions, spatial inequality, and obesity in large US metropolitan areas</title><author>Jones, A. ; Mamudu, H.M. ; Squires, G.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-2b68ef1b004d27042f4042c79b64d401f9fddd650b882700d5b7345ec2586ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Economics</topic><topic>Empirical analysis</topic><topic>Foreclosure</topic><topic>Health status</topic><topic>Housing</topic><topic>Inequality</topic><topic>Mental health</topic><topic>Metropolitan areas</topic><topic>Mortgage Possession</topic><topic>Obesity</topic><topic>Poverty</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Residential segregation</topic><topic>Segregation</topic><topic>Social factors</topic><topic>Socioeconomic factors</topic><topic>Socioeconomic status</topic><topic>Socioeconomics</topic><topic>Statistical analysis</topic><topic>Statistical significance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, A.</creatorcontrib><creatorcontrib>Mamudu, H.M.</creatorcontrib><creatorcontrib>Squires, G.D.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>British Nursing Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>British Nursing Index</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Public health (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, A.</au><au>Mamudu, H.M.</au><au>Squires, G.D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mortgage possessions, spatial inequality, and obesity in large US metropolitan areas</atitle><jtitle>Public health (London)</jtitle><addtitle>Public Health</addtitle><date>2020-04</date><risdate>2020</risdate><volume>181</volume><spage>86</spage><epage>93</epage><pages>86-93</pages><issn>0033-3506</issn><eissn>1476-5616</eissn><abstract>As social determinants of health, mortgage possessions (primarily foreclosures in the US context) and housing instability have been associated with certain mental and physical health outcomes at the individual level. However, individual risks of foreclosure and of poor health are spatially patterned. The objective of this study is to examine the extent to which area-specific social and economic characteristics help explain the relationship between mortgage possessions and obesity prevalence in 75 of the 100 most populous US metropolitan areas.
This is a cross-sectional study.
The study relies on three sources of data: the Selected Metropolitan/Micropolitan Area Risk Trends (SMART) project, RealtyTrac foreclosure data, and the American Community Survey. Focal social and economic characteristics include foreclosure rates, levels of racial residential segregation, and poverty. Obesity prevalence and several control measures for each metropolitan area are also used. Ordinary least squares regression, weighted using the SMART project data, is used, and statistical significance is set at 0.05.
The results suggest that mortgage possessions are independently associated with higher obesity prevalence and that foreclosures operate through the specific channel of racial residential segregation and its tie to the racial composition of a metropolitan area. Socio-economic status of an area, and not poverty, is related to foreclosures and obesity prevalence.
Mortgage possessions not only are socio-economic but also have negative health consequences, such as obesity. The findings provide an empirical base for other researchers to uncover the relationships between segregation, mortgage possessions, and obesity at the individual level of analysis. The public health community should be engaged in addressing the issue of foreclosures in the US because the failure to engage may have broad financial and health consequences across large cities.
•Racial segregation contributes to the link between mortgage possessions and obesity rates.•Metropolitan educational levels, not poverty levels, are predictive of foreclosure.•Healthcare and mortgage counseling organizational partnerships should be considered.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>31978778</pmid><doi>10.1016/j.puhe.2019.11.021</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-2933-9836</orcidid></addata></record> |
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subjects | Economics Empirical analysis Foreclosure Health status Housing Inequality Mental health Metropolitan areas Mortgage Possession Obesity Poverty Public health Regression analysis Residential segregation Segregation Social factors Socioeconomic factors Socioeconomic status Socioeconomics Statistical analysis Statistical significance |
title | Mortgage possessions, spatial inequality, and obesity in large US metropolitan areas |
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