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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Public health (London) 2020-04, Vol.181, p.86-93
Hauptverfasser: Jones, A., Mamudu, H.M., Squires, G.D.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 93
container_issue
container_start_page 86
container_title Public health (London)
container_volume 181
creator Jones, A.
Mamudu, H.M.
Squires, G.D.
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2345507053</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0033350619303919</els_id><sourcerecordid>2345507053</sourcerecordid><originalsourceid>FETCH-LOGICAL-c384t-2b68ef1b004d27042f4042c79b64d401f9fddd650b882700d5b7345ec2586ca3</originalsourceid><addsrcrecordid>eNp9kE2L1TAUhoMoznX0D7iQghsX03rynYIbGfyCERde1yFNTsdceptO0grz783lji5cuElI8rzvCQ8hLyl0FKh6e-iW7Sd2DGjfUdoBo4_IjgqtWqmoekx2AJy3XIK6IM9KOQAA01w-JRec9tpobXZk_zXl9dbdYrOkUrCUmOZy1ZTFrdFNTZzxbnNTXO-vGjeHJg1Y6qHeN5PLNfXje3PENaclVcjNjcvoynPyZHRTwRcP-yXZf_ywv_7c3nz79OX6_U3ruRFrywZlcKQDgAhMg2CjqIvX_aBEEEDHfgwhKAmDMfUdghw0FxI9k0Z5xy_Jm3PtktPdhmW1x1g8TpObMW3FsgpL0CB5RV__gx7Sluf6OctEHQUGelMpdqZ8rjIyjnbJ8ejyvaVgT8rtwZ6U25NyS6mtymvo1UP1Nhwx_I38cVyBd2cAq4pfEbMtPuLsMcSMfrUhxf_1_wYLj5Fk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2440108098</pqid></control><display><type>article</type><title>Mortgage possessions, spatial inequality, and obesity in large US metropolitan areas</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><creator>Jones, A. ; Mamudu, H.M. ; Squires, G.D.</creator><creatorcontrib>Jones, A. ; Mamudu, H.M. ; Squires, G.D.</creatorcontrib><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><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 &amp; 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 &amp; 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>
fulltext fulltext
identifier ISSN: 0033-3506
ispartof Public health (London), 2020-04, Vol.181, p.86-93
issn 0033-3506
1476-5616
language eng
recordid cdi_proquest_miscellaneous_2345507053
source Elsevier ScienceDirect Journals Complete - AutoHoldings; Applied Social Sciences Index & Abstracts (ASSIA)
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T09%3A42%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mortgage%20possessions,%20spatial%20inequality,%20and%20obesity%20in%20large%20US%20metropolitan%20areas&rft.jtitle=Public%20health%20(London)&rft.au=Jones,%20A.&rft.date=2020-04&rft.volume=181&rft.spage=86&rft.epage=93&rft.pages=86-93&rft.issn=0033-3506&rft.eissn=1476-5616&rft_id=info:doi/10.1016/j.puhe.2019.11.021&rft_dat=%3Cproquest_cross%3E2345507053%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2440108098&rft_id=info:pmid/31978778&rft_els_id=S0033350619303919&rfr_iscdi=true