A two-county comparison of the HOUSES index on predicting self-rated health
BackgroundMortality, incidence of most diseases, and prevalence of adverse health behaviours follow an inverse gradient with social class. Many proxies for socioeconomic status (SES) exist; however, each bears a different relation to health outcomes, probably following a different aetiological pathw...
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| Veröffentlicht in: | Journal of epidemiology and community health (1979) 2011-03, Vol.65 (3), p.254-259 |
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| container_title | Journal of epidemiology and community health (1979) |
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| creator | Butterfield, Michael C Williams, Arthur R Beebe, Tim Finnie, Dawn Liu, Heshan Liesinger, Juliette Sloan, Jeff Wheeler, Philip H Yawn, Barbara Juhn, Young J |
| description | BackgroundMortality, incidence of most diseases, and prevalence of adverse health behaviours follow an inverse gradient with social class. Many proxies for socioeconomic status (SES) exist; however, each bears a different relation to health outcomes, probably following a different aetiological pathway. Additionally, data on SES can be quite difficult to gather. Five measures of SES were compared, including a novel measure, the HOUSES index, in the prediction of self-rated health (SRH) in two Midwestern settings, Olmsted County, Minnesota, and Jackson County, Missouri.MethodsUsing a probability sampling design, a cross-sectional telephone survey was administered to a randomised sample of households. The questionnaire collected a variety of sociodemographic and personal health information. The dependent variable, SRH, was dichotomised into excellent/very good/good versus fair/poor health. Information for the HOUSES index was collected through public property records and corroborated through the telephone questionnaire. Participants were parents/guardians of children aged 1–17 residing in Olmsted County (n=746) and Jackson County (n=704).ResultsThe HOUSES index was associated with adverse SRH in Jackson County adults. All five SES measures were significant predictors in this group. Composite SES indices showed significant associations with SRH in Olmsted County adults.ConclusionsThe HOUSES index makes a unique contribution to the measurement of SES and prediction of health outcomes. Its utility is qualified by specific social contexts, and it should be used in concert with other SES indices. |
| doi_str_mv | 10.1136/jech.2008.084723 |
| format | Article |
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Many proxies for socioeconomic status (SES) exist; however, each bears a different relation to health outcomes, probably following a different aetiological pathway. Additionally, data on SES can be quite difficult to gather. Five measures of SES were compared, including a novel measure, the HOUSES index, in the prediction of self-rated health (SRH) in two Midwestern settings, Olmsted County, Minnesota, and Jackson County, Missouri.MethodsUsing a probability sampling design, a cross-sectional telephone survey was administered to a randomised sample of households. The questionnaire collected a variety of sociodemographic and personal health information. The dependent variable, SRH, was dichotomised into excellent/very good/good versus fair/poor health. Information for the HOUSES index was collected through public property records and corroborated through the telephone questionnaire. Participants were parents/guardians of children aged 1–17 residing in Olmsted County (n=746) and Jackson County (n=704).ResultsThe HOUSES index was associated with adverse SRH in Jackson County adults. All five SES measures were significant predictors in this group. Composite SES indices showed significant associations with SRH in Olmsted County adults.ConclusionsThe HOUSES index makes a unique contribution to the measurement of SES and prediction of health outcomes. Its utility is qualified by specific social contexts, and it should be used in concert with other SES indices.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech.2008.084723</identifier><identifier>PMID: 20439350</identifier><identifier>CODEN: JECHDR</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd</publisher><subject>Academic degrees ; Adolescent ; Adult ; Biological and medical sciences ; Censuses ; Child ; Child, Preschool ; Chronic illnesses ; Community health ; Composite indices ; Cross-Sectional Studies ; Education ; Ethnic Groups - psychology ; Ethnic Groups - statistics & numerical data ; Family income ; Female ; General aspects ; Geography ; Health outcomes ; Health Status ; Households ; Housing ; Housing - classification ; housing and health ; Humans ; Income - statistics & numerical data ; Infant ; Male ; Medical sciences ; Minnesota ; Miscellaneous ; Missouri ; Mortality ; Parent-Child Relations - ethnology ; Parents - psychology ; Population ; Proxy - psychology ; Proxy - statistics & numerical data ; Public health ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Research reports ; Residence Characteristics - statistics & numerical data ; Residential areas ; Response rates ; Sampling Studies ; Self-Assessment ; self-rated health ; Social Class ; Social classes ; Social Environment ; Socioeconomic Factors ; Socioeconomic status ; Socioeconomics ; Studies ; Surveys and Questionnaires</subject><ispartof>Journal of epidemiology and community health (1979), 2011-03, Vol.65 (3), p.254-259</ispartof><rights>2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>Copyright: © 2011 BMJ Publishing Group</rights><rights>2015 INIST-CNRS</rights><rights>Copyright: 2011 (c) 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b615t-fe78f3430aeaac35eb4283116612dcfcee77f3d6b42d40edeaadcb549dd125453</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/65/3/254.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/65/3/254.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,230,314,780,784,803,885,3196,23571,27924,27925,58017,58250,77600,77631</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23850804$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20439350$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Butterfield, Michael C</creatorcontrib><creatorcontrib>Williams, Arthur R</creatorcontrib><creatorcontrib>Beebe, Tim</creatorcontrib><creatorcontrib>Finnie, Dawn</creatorcontrib><creatorcontrib>Liu, Heshan</creatorcontrib><creatorcontrib>Liesinger, Juliette</creatorcontrib><creatorcontrib>Sloan, Jeff</creatorcontrib><creatorcontrib>Wheeler, Philip H</creatorcontrib><creatorcontrib>Yawn, Barbara</creatorcontrib><creatorcontrib>Juhn, Young J</creatorcontrib><title>A two-county comparison of the HOUSES index on predicting self-rated health</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>BackgroundMortality, incidence of most diseases, and prevalence of adverse health behaviours follow an inverse gradient with social class. Many proxies for socioeconomic status (SES) exist; however, each bears a different relation to health outcomes, probably following a different aetiological pathway. Additionally, data on SES can be quite difficult to gather. Five measures of SES were compared, including a novel measure, the HOUSES index, in the prediction of self-rated health (SRH) in two Midwestern settings, Olmsted County, Minnesota, and Jackson County, Missouri.MethodsUsing a probability sampling design, a cross-sectional telephone survey was administered to a randomised sample of households. The questionnaire collected a variety of sociodemographic and personal health information. The dependent variable, SRH, was dichotomised into excellent/very good/good versus fair/poor health. Information for the HOUSES index was collected through public property records and corroborated through the telephone questionnaire. Participants were parents/guardians of children aged 1–17 residing in Olmsted County (n=746) and Jackson County (n=704).ResultsThe HOUSES index was associated with adverse SRH in Jackson County adults. All five SES measures were significant predictors in this group. Composite SES indices showed significant associations with SRH in Olmsted County adults.ConclusionsThe HOUSES index makes a unique contribution to the measurement of SES and prediction of health outcomes. Its utility is qualified by specific social contexts, and it should be used in concert with other SES indices.</description><subject>Academic degrees</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Censuses</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Chronic illnesses</subject><subject>Community health</subject><subject>Composite indices</subject><subject>Cross-Sectional Studies</subject><subject>Education</subject><subject>Ethnic Groups - psychology</subject><subject>Ethnic Groups - statistics & numerical data</subject><subject>Family income</subject><subject>Female</subject><subject>General aspects</subject><subject>Geography</subject><subject>Health outcomes</subject><subject>Health Status</subject><subject>Households</subject><subject>Housing</subject><subject>Housing - classification</subject><subject>housing and health</subject><subject>Humans</subject><subject>Income - statistics & numerical data</subject><subject>Infant</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Minnesota</subject><subject>Miscellaneous</subject><subject>Missouri</subject><subject>Mortality</subject><subject>Parent-Child Relations - ethnology</subject><subject>Parents - psychology</subject><subject>Population</subject><subject>Proxy - psychology</subject><subject>Proxy - statistics & numerical data</subject><subject>Public health</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Research reports</subject><subject>Residence Characteristics - statistics & numerical data</subject><subject>Residential areas</subject><subject>Response rates</subject><subject>Sampling Studies</subject><subject>Self-Assessment</subject><subject>self-rated health</subject><subject>Social Class</subject><subject>Social classes</subject><subject>Social Environment</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomic status</subject><subject>Socioeconomics</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkc1v1DAQxS0EosvCnQsoEkIcUBY7tuPkUqlaCkWtqFBp1Zvl2JMmIYkX24H2v8dLluXjwsnWvN-M3sxD6CnBK0Jo_qYD3awyjIsVLpjI6D20IEzgNBO0uI8WmDCaYsyvD9Aj7zscvyIrH6KDDDNaUo4X6PQoCd9tqu00hrtE22GjXOvtmNg6CQ0kJ-eXF8cXSTsauE1ieePAtDq0403ioa9TpwKYpAHVh-YxelCr3sOT3btEl--OP69P0rPz9x_WR2dplRMe0hpEUVNGsQKlNOVQsayghOQ5yYyuNYAQNTV5LBuGwUTK6Iqz0hiSccbpEh3OczdTNYDRMAanerlx7aDcnbSqlX8rY9vIG_tN0hJzxmgc8Go3wNmvE_ggh9Zr6Hs1gp28LDjmOS7jkZboxT9kZyc3xu0kEaLMRFngMlJ4prSz3juo914Iltug5DYouQ1KzkHFlud_7rBv-JVMBF7uAOW16munRt363xyNJoufDp_NXOeDdXudEcJxmZOop7Pe-gC3e125LzIXVHD58WotP3F6fcqyK_k28q9nvhq6_6_xA3CxwnQ</recordid><startdate>20110301</startdate><enddate>20110301</enddate><creator>Butterfield, Michael C</creator><creator>Williams, Arthur R</creator><creator>Beebe, Tim</creator><creator>Finnie, Dawn</creator><creator>Liu, Heshan</creator><creator>Liesinger, Juliette</creator><creator>Sloan, Jeff</creator><creator>Wheeler, Philip H</creator><creator>Yawn, Barbara</creator><creator>Juhn, Young J</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group</general><general>BMJ Publishing Group LTD</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20110301</creationdate><title>A two-county comparison of the HOUSES index on predicting self-rated health</title><author>Butterfield, Michael C ; Williams, Arthur R ; Beebe, Tim ; Finnie, Dawn ; Liu, Heshan ; Liesinger, Juliette ; Sloan, Jeff ; Wheeler, Philip H ; Yawn, Barbara ; Juhn, Young J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b615t-fe78f3430aeaac35eb4283116612dcfcee77f3d6b42d40edeaadcb549dd125453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Academic degrees</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Biological and medical sciences</topic><topic>Censuses</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Chronic illnesses</topic><topic>Community health</topic><topic>Composite indices</topic><topic>Cross-Sectional Studies</topic><topic>Education</topic><topic>Ethnic Groups - psychology</topic><topic>Ethnic Groups - statistics & numerical data</topic><topic>Family income</topic><topic>Female</topic><topic>General aspects</topic><topic>Geography</topic><topic>Health outcomes</topic><topic>Health Status</topic><topic>Households</topic><topic>Housing</topic><topic>Housing - classification</topic><topic>housing and health</topic><topic>Humans</topic><topic>Income - statistics & numerical data</topic><topic>Infant</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Minnesota</topic><topic>Miscellaneous</topic><topic>Missouri</topic><topic>Mortality</topic><topic>Parent-Child Relations - ethnology</topic><topic>Parents - psychology</topic><topic>Population</topic><topic>Proxy - psychology</topic><topic>Proxy - statistics & numerical data</topic><topic>Public health</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Research reports</topic><topic>Residence Characteristics - statistics & numerical data</topic><topic>Residential areas</topic><topic>Response rates</topic><topic>Sampling Studies</topic><topic>Self-Assessment</topic><topic>self-rated health</topic><topic>Social Class</topic><topic>Social classes</topic><topic>Social Environment</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomic status</topic><topic>Socioeconomics</topic><topic>Studies</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Butterfield, Michael C</creatorcontrib><creatorcontrib>Williams, Arthur R</creatorcontrib><creatorcontrib>Beebe, Tim</creatorcontrib><creatorcontrib>Finnie, Dawn</creatorcontrib><creatorcontrib>Liu, Heshan</creatorcontrib><creatorcontrib>Liesinger, Juliette</creatorcontrib><creatorcontrib>Sloan, Jeff</creatorcontrib><creatorcontrib>Wheeler, Philip H</creatorcontrib><creatorcontrib>Yawn, Barbara</creatorcontrib><creatorcontrib>Juhn, Young J</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>Proquest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Butterfield, Michael C</au><au>Williams, Arthur R</au><au>Beebe, Tim</au><au>Finnie, Dawn</au><au>Liu, Heshan</au><au>Liesinger, Juliette</au><au>Sloan, Jeff</au><au>Wheeler, Philip H</au><au>Yawn, Barbara</au><au>Juhn, Young J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A two-county comparison of the HOUSES index on predicting self-rated health</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2011-03-01</date><risdate>2011</risdate><volume>65</volume><issue>3</issue><spage>254</spage><epage>259</epage><pages>254-259</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><coden>JECHDR</coden><abstract>BackgroundMortality, incidence of most diseases, and prevalence of adverse health behaviours follow an inverse gradient with social class. Many proxies for socioeconomic status (SES) exist; however, each bears a different relation to health outcomes, probably following a different aetiological pathway. Additionally, data on SES can be quite difficult to gather. Five measures of SES were compared, including a novel measure, the HOUSES index, in the prediction of self-rated health (SRH) in two Midwestern settings, Olmsted County, Minnesota, and Jackson County, Missouri.MethodsUsing a probability sampling design, a cross-sectional telephone survey was administered to a randomised sample of households. The questionnaire collected a variety of sociodemographic and personal health information. The dependent variable, SRH, was dichotomised into excellent/very good/good versus fair/poor health. Information for the HOUSES index was collected through public property records and corroborated through the telephone questionnaire. Participants were parents/guardians of children aged 1–17 residing in Olmsted County (n=746) and Jackson County (n=704).ResultsThe HOUSES index was associated with adverse SRH in Jackson County adults. All five SES measures were significant predictors in this group. Composite SES indices showed significant associations with SRH in Olmsted County adults.ConclusionsThe HOUSES index makes a unique contribution to the measurement of SES and prediction of health outcomes. Its utility is qualified by specific social contexts, and it should be used in concert with other SES indices.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd</pub><pmid>20439350</pmid><doi>10.1136/jech.2008.084723</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of epidemiology and community health (1979), 2011-03, Vol.65 (3), p.254-259 |
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| subjects | Academic degrees Adolescent Adult Biological and medical sciences Censuses Child Child, Preschool Chronic illnesses Community health Composite indices Cross-Sectional Studies Education Ethnic Groups - psychology Ethnic Groups - statistics & numerical data Family income Female General aspects Geography Health outcomes Health Status Households Housing Housing - classification housing and health Humans Income - statistics & numerical data Infant Male Medical sciences Minnesota Miscellaneous Missouri Mortality Parent-Child Relations - ethnology Parents - psychology Population Proxy - psychology Proxy - statistics & numerical data Public health Public health. Hygiene Public health. Hygiene-occupational medicine Research reports Residence Characteristics - statistics & numerical data Residential areas Response rates Sampling Studies Self-Assessment self-rated health Social Class Social classes Social Environment Socioeconomic Factors Socioeconomic status Socioeconomics Studies Surveys and Questionnaires |
| title | A two-county comparison of the HOUSES index on predicting self-rated health |
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