Prognostic Relevance of Census-derived Individual Respondent Incomes Versus Household Incomes
Background: Census-based measures of income derived from median income of a geographic area are often used in health research. Many national census surveys gather information on both the respondent's individual income and the income for the entire household, giving researchers a choice of censu...
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| Veröffentlicht in: | Canadian journal of public health 2006-03, Vol.97 (2), p.114-117 |
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| creator | Southern, Danielle A. Faris, Peter D. Knudtson, Merril L. Ghali, William A. |
| description | Background: Census-based measures of income derived from median income of a geographic area are often used in health research. Many national census surveys gather information on both the respondent's individual income and the income for the entire household, giving researchers a choice of census income measures. We compared the extent to which individual respondent income and household income (both obtained from census data) are associated with outcomes in a cohort of patients with cardiac disease. Methods: We used data from the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH), where postal codes were linked to the Postal Code Conversion File (PCCF) to determine each patient's census Dissemination Areas (DA). DA-derived median household income and median individual income were obtained from the 2001 Canadian Census and survival outcomes were then directly determined for income groupings defined by quintile. Two-year survival adjusted for age and sex was described with a proportional hazards analysis. Results: There were 9,397 patients undergoing cardiac catheterization between January 1, 2001 and March 31, 2002, with complete DA-level median income measures. Household income quintiles yielded a wider spread of survival across quintiles (range of 2-year estimated survival, 91.8% to 95.9% for household income versus 92.8% to 95.6% for respondent income), as well as a more progressive decline in survival as income decreased. This progressive decline was not seen for the respondent income measure. Conclusions: The greater spread and progressive decline of survival for household income relative to respondent income leads us to conclude that household income is the better socio-economic determinant of health in our data and for the outcome measure we studied. Contexte : Les mesures basées sur le recensement du revenu dérivé du revenu médian d'un secteur géographique sont souvent employées dans la recherche de la santé. Beaucoup d'enquêtes nationales de recensement recueillent l'information sur le revenu individuel du répondant ainsi que le revenu pour le ménage entier, donnant aux chercheurs un choix de mesures de revenu. Nous avons comparé le point auquel le revenu individuel du répondant et le revenu du ménage (tous les deux obtenus à partir de données de recensement) sont associés aux résultats dans une cohorte de patients présentant pour une cathérisation cardiaque. Méthodes : Nous avons employé des données du projet Alb |
| doi_str_mv | 10.1007/bf03405327 |
| format | Article |
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Many national census surveys gather information on both the respondent's individual income and the income for the entire household, giving researchers a choice of census income measures. We compared the extent to which individual respondent income and household income (both obtained from census data) are associated with outcomes in a cohort of patients with cardiac disease. Methods: We used data from the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH), where postal codes were linked to the Postal Code Conversion File (PCCF) to determine each patient's census Dissemination Areas (DA). DA-derived median household income and median individual income were obtained from the 2001 Canadian Census and survival outcomes were then directly determined for income groupings defined by quintile. Two-year survival adjusted for age and sex was described with a proportional hazards analysis. Results: There were 9,397 patients undergoing cardiac catheterization between January 1, 2001 and March 31, 2002, with complete DA-level median income measures. Household income quintiles yielded a wider spread of survival across quintiles (range of 2-year estimated survival, 91.8% to 95.9% for household income versus 92.8% to 95.6% for respondent income), as well as a more progressive decline in survival as income decreased. This progressive decline was not seen for the respondent income measure. Conclusions: The greater spread and progressive decline of survival for household income relative to respondent income leads us to conclude that household income is the better socio-economic determinant of health in our data and for the outcome measure we studied. Contexte : Les mesures basées sur le recensement du revenu dérivé du revenu médian d'un secteur géographique sont souvent employées dans la recherche de la santé. Beaucoup d'enquêtes nationales de recensement recueillent l'information sur le revenu individuel du répondant ainsi que le revenu pour le ménage entier, donnant aux chercheurs un choix de mesures de revenu. Nous avons comparé le point auquel le revenu individuel du répondant et le revenu du ménage (tous les deux obtenus à partir de données de recensement) sont associés aux résultats dans une cohorte de patients présentant pour une cathérisation cardiaque. Méthodes : Nous avons employé des données du projet Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH), où des codes postaux ont été liés au fichier de conversion des codes postaux plus (FCCP+) pour déterminer les aires de diffusion (AD) du recensement de chaque patient. Le revenu du ménage médian dérivé des AD et le revenu individuel médian ont été obtenus à partir du recensement du Canada de 2001, et des résultats de survie ont été directement déterminés pour des groupements de revenu définis par quintile. La survie de deux ans ajustée à l'âge et au sexe a été décrite avec une analyse de risques proportionnels. Résultats : Il y avait 9 397 patients subissant la cathérisation cardiaque entre le 1 janvier, 2001 et le 31 mars, 2002, avec des mesures médianes de revenu de niveau des AD complets. Les quintiles de revenu du ménage ont rapporté une diffusion plus large de survie à travers des quintiles (tranche de survie de 2 ans estimé varie de 91,8 % à 95,9 % pour le ménage, et de 92,8 % à 95,6 % pour le répondant), aussi bien qu'un déclin plus progressif dans la survie pendant que le revenu diminue. Ce même déclin n'a pas été vu pour la mesure de revenu du répondant. Interprétation : La diffusion plus grande et le déclin progressif de la survie pour le revenu du ménage par rapport à celui du répondant nous mènent à conclure que le revenu du ménage représente mieux le statut socio-économique comme déterminant de la santé dans nos données, et pour le résultat que nous avons évalué.</description><identifier>ISSN: 0008-4263</identifier><identifier>EISSN: 1920-7476</identifier><identifier>DOI: 10.1007/bf03405327</identifier><identifier>PMID: 16619997</identifier><identifier>CODEN: CJPEA4</identifier><language>eng</language><publisher>Ottawa, ON: Canadian Public Health Association</publisher><subject>Aged ; Alberta - epidemiology ; Biological and medical sciences ; Cardiac Catheterization - economics ; Cardiac Catheterization - mortality ; Census data ; Censuses ; Cohort Studies ; Coronary artery disease ; Family Characteristics ; Female ; Geography ; Health care outcome assessment ; Health hazards ; Health outcomes ; Household income ; Humans ; Income - classification ; Income - statistics & numerical data ; Male ; Median income ; Medical sciences ; Middle Aged ; Miscellaneous ; Outcome Assessment, Health Care - methods ; Patients ; Postal codes ; Postal Service ; Poverty - statistics & numerical data ; Proportional Hazards Models ; Public health ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; RESEARCH/RECHERCHE ; Social Class ; Socioeconomics ; Statistical analysis ; Studies ; Survival Analysis</subject><ispartof>Canadian journal of public health, 2006-03, Vol.97 (2), p.114-117</ispartof><rights>2006 INIST-CNRS</rights><rights>Copyright Canadian Public Health Association Mar/Apr 2006</rights><rights>The Canadian Public Health Association 2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-7478ee7b1c6a36b74951514e9baf4de25a15dc1af1c2f2a017773f79010b2e433</citedby><cites>FETCH-LOGICAL-c455t-7478ee7b1c6a36b74951514e9baf4de25a15dc1af1c2f2a017773f79010b2e433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/41994696$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/41994696$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,803,885,27924,27925,53791,53793,58017,58250</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17688560$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16619997$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Southern, Danielle A.</creatorcontrib><creatorcontrib>Faris, Peter D.</creatorcontrib><creatorcontrib>Knudtson, Merril L.</creatorcontrib><creatorcontrib>Ghali, William A.</creatorcontrib><creatorcontrib>APPROACH Investigators</creatorcontrib><title>Prognostic Relevance of Census-derived Individual Respondent Incomes Versus Household Incomes</title><title>Canadian journal of public health</title><addtitle>Can J Public Health</addtitle><description>Background: Census-based measures of income derived from median income of a geographic area are often used in health research. Many national census surveys gather information on both the respondent's individual income and the income for the entire household, giving researchers a choice of census income measures. We compared the extent to which individual respondent income and household income (both obtained from census data) are associated with outcomes in a cohort of patients with cardiac disease. Methods: We used data from the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH), where postal codes were linked to the Postal Code Conversion File (PCCF) to determine each patient's census Dissemination Areas (DA). DA-derived median household income and median individual income were obtained from the 2001 Canadian Census and survival outcomes were then directly determined for income groupings defined by quintile. Two-year survival adjusted for age and sex was described with a proportional hazards analysis. Results: There were 9,397 patients undergoing cardiac catheterization between January 1, 2001 and March 31, 2002, with complete DA-level median income measures. Household income quintiles yielded a wider spread of survival across quintiles (range of 2-year estimated survival, 91.8% to 95.9% for household income versus 92.8% to 95.6% for respondent income), as well as a more progressive decline in survival as income decreased. This progressive decline was not seen for the respondent income measure. Conclusions: The greater spread and progressive decline of survival for household income relative to respondent income leads us to conclude that household income is the better socio-economic determinant of health in our data and for the outcome measure we studied. Contexte : Les mesures basées sur le recensement du revenu dérivé du revenu médian d'un secteur géographique sont souvent employées dans la recherche de la santé. Beaucoup d'enquêtes nationales de recensement recueillent l'information sur le revenu individuel du répondant ainsi que le revenu pour le ménage entier, donnant aux chercheurs un choix de mesures de revenu. Nous avons comparé le point auquel le revenu individuel du répondant et le revenu du ménage (tous les deux obtenus à partir de données de recensement) sont associés aux résultats dans une cohorte de patients présentant pour une cathérisation cardiaque. Méthodes : Nous avons employé des données du projet Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH), où des codes postaux ont été liés au fichier de conversion des codes postaux plus (FCCP+) pour déterminer les aires de diffusion (AD) du recensement de chaque patient. Le revenu du ménage médian dérivé des AD et le revenu individuel médian ont été obtenus à partir du recensement du Canada de 2001, et des résultats de survie ont été directement déterminés pour des groupements de revenu définis par quintile. La survie de deux ans ajustée à l'âge et au sexe a été décrite avec une analyse de risques proportionnels. Résultats : Il y avait 9 397 patients subissant la cathérisation cardiaque entre le 1 janvier, 2001 et le 31 mars, 2002, avec des mesures médianes de revenu de niveau des AD complets. Les quintiles de revenu du ménage ont rapporté une diffusion plus large de survie à travers des quintiles (tranche de survie de 2 ans estimé varie de 91,8 % à 95,9 % pour le ménage, et de 92,8 % à 95,6 % pour le répondant), aussi bien qu'un déclin plus progressif dans la survie pendant que le revenu diminue. Ce même déclin n'a pas été vu pour la mesure de revenu du répondant. Interprétation : La diffusion plus grande et le déclin progressif de la survie pour le revenu du ménage par rapport à celui du répondant nous mènent à conclure que le revenu du ménage représente mieux le statut socio-économique comme déterminant de la santé dans nos données, et pour le résultat que nous avons évalué.</description><subject>Aged</subject><subject>Alberta - epidemiology</subject><subject>Biological and medical sciences</subject><subject>Cardiac Catheterization - economics</subject><subject>Cardiac Catheterization - mortality</subject><subject>Census data</subject><subject>Censuses</subject><subject>Cohort Studies</subject><subject>Coronary artery disease</subject><subject>Family Characteristics</subject><subject>Female</subject><subject>Geography</subject><subject>Health care outcome assessment</subject><subject>Health hazards</subject><subject>Health outcomes</subject><subject>Household income</subject><subject>Humans</subject><subject>Income - classification</subject><subject>Income - statistics & numerical data</subject><subject>Male</subject><subject>Median income</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Outcome Assessment, Health Care - methods</subject><subject>Patients</subject><subject>Postal codes</subject><subject>Postal Service</subject><subject>Poverty - statistics & numerical data</subject><subject>Proportional Hazards Models</subject><subject>Public health</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>RESEARCH/RECHERCHE</subject><subject>Social Class</subject><subject>Socioeconomics</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Survival Analysis</subject><issn>0008-4263</issn><issn>1920-7476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkd1rFDEUxYModlt98V0ZhPogjOZrksmLoIu1hYIi6puETHLTZplNtsnMgv-9WXfbqk-X3PPjcG4OQs8IfkMwlm8HjxnHHaPyAVoQRXEruRQP0QJj3LecCnaEjktZ1Sdjkj1GR0QIopSSC_TzS05XMZUp2OYrjLA10UKTfLOEWObSOshhC665iC5sg5vNWLGySdFBnOrWpjWU5gfkCjfnaS5wnUZ3KzxBj7wZCzw9zBP0_ezjt-V5e_n508Xy_WVreddNu7g9gByIFYaJQXLVkY5wUIPx3AHtDOmcJcYTSz01mEgpmZcKEzxQ4IydoHd73808rMHZmi2bUW9yWJv8SycT9L9KDNf6Km21UFIQJqrBq4NBTjczlEmvQ7EwjiZCPUoL2UvWUVnBl_-BqzTnWI_TlNU_5fyP2-s9ZHMqJYO_S0Kw3lWmP5zdVlbhF39nv0cPHVXg9ACYYs3oc60olHtOir7vBK7c8z23KlPKdzrfpRJKsN9Pv6jH</recordid><startdate>20060301</startdate><enddate>20060301</enddate><creator>Southern, Danielle A.</creator><creator>Faris, Peter D.</creator><creator>Knudtson, Merril L.</creator><creator>Ghali, William A.</creator><general>Canadian Public Health Association</general><general>Springer Nature B.V</general><general>Springer International Publishing</general><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>0-V</scope><scope>3V.</scope><scope>4S-</scope><scope>4U-</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7T2</scope><scope>7TK</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>88J</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FQ</scope><scope>8FV</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>KC-</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2L</scope><scope>M2O</scope><scope>M2R</scope><scope>M3G</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20060301</creationdate><title>Prognostic Relevance of Census-derived Individual Respondent Incomes Versus Household Incomes</title><author>Southern, Danielle A. ; Faris, Peter D. ; Knudtson, Merril L. ; Ghali, William A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-7478ee7b1c6a36b74951514e9baf4de25a15dc1af1c2f2a017773f79010b2e433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Aged</topic><topic>Alberta - epidemiology</topic><topic>Biological and medical sciences</topic><topic>Cardiac Catheterization - economics</topic><topic>Cardiac Catheterization - mortality</topic><topic>Census data</topic><topic>Censuses</topic><topic>Cohort Studies</topic><topic>Coronary artery disease</topic><topic>Family Characteristics</topic><topic>Female</topic><topic>Geography</topic><topic>Health care outcome assessment</topic><topic>Health hazards</topic><topic>Health outcomes</topic><topic>Household income</topic><topic>Humans</topic><topic>Income - classification</topic><topic>Income - statistics & numerical data</topic><topic>Male</topic><topic>Median income</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Outcome Assessment, Health Care - methods</topic><topic>Patients</topic><topic>Postal codes</topic><topic>Postal Service</topic><topic>Poverty - statistics & numerical data</topic><topic>Proportional Hazards Models</topic><topic>Public health</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>RESEARCH/RECHERCHE</topic><topic>Social Class</topic><topic>Socioeconomics</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Survival Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Southern, Danielle A.</creatorcontrib><creatorcontrib>Faris, Peter D.</creatorcontrib><creatorcontrib>Knudtson, Merril L.</creatorcontrib><creatorcontrib>Ghali, William A.</creatorcontrib><creatorcontrib>APPROACH Investigators</creatorcontrib><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 Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>BPIR.com Limited</collection><collection>University Readers</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Canadian Business & Current Affairs Database</collection><collection>Canadian Business & Current Affairs Database (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Politics Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Political Science Database</collection><collection>Research Library</collection><collection>Social Science Database</collection><collection>CBCA Reference & Current Events</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</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 Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Canadian journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Southern, Danielle A.</au><au>Faris, Peter D.</au><au>Knudtson, Merril L.</au><au>Ghali, William A.</au><aucorp>APPROACH Investigators</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic Relevance of Census-derived Individual Respondent Incomes Versus Household Incomes</atitle><jtitle>Canadian journal of public health</jtitle><addtitle>Can J Public Health</addtitle><date>2006-03-01</date><risdate>2006</risdate><volume>97</volume><issue>2</issue><spage>114</spage><epage>117</epage><pages>114-117</pages><issn>0008-4263</issn><eissn>1920-7476</eissn><coden>CJPEA4</coden><abstract>Background: Census-based measures of income derived from median income of a geographic area are often used in health research. Many national census surveys gather information on both the respondent's individual income and the income for the entire household, giving researchers a choice of census income measures. We compared the extent to which individual respondent income and household income (both obtained from census data) are associated with outcomes in a cohort of patients with cardiac disease. Methods: We used data from the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH), where postal codes were linked to the Postal Code Conversion File (PCCF) to determine each patient's census Dissemination Areas (DA). DA-derived median household income and median individual income were obtained from the 2001 Canadian Census and survival outcomes were then directly determined for income groupings defined by quintile. Two-year survival adjusted for age and sex was described with a proportional hazards analysis. Results: There were 9,397 patients undergoing cardiac catheterization between January 1, 2001 and March 31, 2002, with complete DA-level median income measures. Household income quintiles yielded a wider spread of survival across quintiles (range of 2-year estimated survival, 91.8% to 95.9% for household income versus 92.8% to 95.6% for respondent income), as well as a more progressive decline in survival as income decreased. This progressive decline was not seen for the respondent income measure. Conclusions: The greater spread and progressive decline of survival for household income relative to respondent income leads us to conclude that household income is the better socio-economic determinant of health in our data and for the outcome measure we studied. Contexte : Les mesures basées sur le recensement du revenu dérivé du revenu médian d'un secteur géographique sont souvent employées dans la recherche de la santé. Beaucoup d'enquêtes nationales de recensement recueillent l'information sur le revenu individuel du répondant ainsi que le revenu pour le ménage entier, donnant aux chercheurs un choix de mesures de revenu. Nous avons comparé le point auquel le revenu individuel du répondant et le revenu du ménage (tous les deux obtenus à partir de données de recensement) sont associés aux résultats dans une cohorte de patients présentant pour une cathérisation cardiaque. Méthodes : Nous avons employé des données du projet Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH), où des codes postaux ont été liés au fichier de conversion des codes postaux plus (FCCP+) pour déterminer les aires de diffusion (AD) du recensement de chaque patient. Le revenu du ménage médian dérivé des AD et le revenu individuel médian ont été obtenus à partir du recensement du Canada de 2001, et des résultats de survie ont été directement déterminés pour des groupements de revenu définis par quintile. La survie de deux ans ajustée à l'âge et au sexe a été décrite avec une analyse de risques proportionnels. Résultats : Il y avait 9 397 patients subissant la cathérisation cardiaque entre le 1 janvier, 2001 et le 31 mars, 2002, avec des mesures médianes de revenu de niveau des AD complets. Les quintiles de revenu du ménage ont rapporté une diffusion plus large de survie à travers des quintiles (tranche de survie de 2 ans estimé varie de 91,8 % à 95,9 % pour le ménage, et de 92,8 % à 95,6 % pour le répondant), aussi bien qu'un déclin plus progressif dans la survie pendant que le revenu diminue. Ce même déclin n'a pas été vu pour la mesure de revenu du répondant. Interprétation : La diffusion plus grande et le déclin progressif de la survie pour le revenu du ménage par rapport à celui du répondant nous mènent à conclure que le revenu du ménage représente mieux le statut socio-économique comme déterminant de la santé dans nos données, et pour le résultat que nous avons évalué.</abstract><cop>Ottawa, ON</cop><pub>Canadian Public Health Association</pub><pmid>16619997</pmid><doi>10.1007/bf03405327</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0008-4263 |
| ispartof | Canadian journal of public health, 2006-03, Vol.97 (2), p.114-117 |
| issn | 0008-4263 1920-7476 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6976136 |
| source | MEDLINE; JSTOR Archive Collection A-Z Listing; EZB-FREE-00999 freely available EZB journals; PubMed Central; SpringerLink Journals - AutoHoldings |
| subjects | Aged Alberta - epidemiology Biological and medical sciences Cardiac Catheterization - economics Cardiac Catheterization - mortality Census data Censuses Cohort Studies Coronary artery disease Family Characteristics Female Geography Health care outcome assessment Health hazards Health outcomes Household income Humans Income - classification Income - statistics & numerical data Male Median income Medical sciences Middle Aged Miscellaneous Outcome Assessment, Health Care - methods Patients Postal codes Postal Service Poverty - statistics & numerical data Proportional Hazards Models Public health Public health. Hygiene Public health. Hygiene-occupational medicine RESEARCH/RECHERCHE Social Class Socioeconomics Statistical analysis Studies Survival Analysis |
| title | Prognostic Relevance of Census-derived Individual Respondent Incomes Versus Household Incomes |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T12%3A14%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prognostic%20Relevance%20of%20Census-derived%20Individual%20Respondent%20Incomes%20Versus%20Household%20Incomes&rft.jtitle=Canadian%20journal%20of%20public%20health&rft.au=Southern,%20Danielle%20A.&rft.aucorp=APPROACH%20Investigators&rft.date=2006-03-01&rft.volume=97&rft.issue=2&rft.spage=114&rft.epage=117&rft.pages=114-117&rft.issn=0008-4263&rft.eissn=1920-7476&rft.coden=CJPEA4&rft_id=info:doi/10.1007/bf03405327&rft_dat=%3Cjstor_pubme%3E41994696%3C/jstor_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=231994436&rft_id=info:pmid/16619997&rft_jstor_id=41994696&rfr_iscdi=true |