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Amenable mortality by household income and living arrangements: a linked register-based study of Finnish men and women in 2000–2007
Background Mortality amenable to healthcare interventions has increasingly been used as an indirect indicator of the effect of healthcare on health inequalities. Studies have consistently shown socioeconomic differences in amenable mortality, but evidence on the joint effects of multiple socioeconom...
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Published in: | Journal of epidemiology and community health (1979) 2014-10, Vol.68 (10), p.965-970 |
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description | Background Mortality amenable to healthcare interventions has increasingly been used as an indirect indicator of the effect of healthcare on health inequalities. Studies have consistently shown socioeconomic differences in amenable mortality, but evidence on the joint effects of multiple socioeconomic and demographic factors is limited. We examined whether income and living arrangements have an independent effect on amenable mortality taking into account other dimensions of social position. Methods The longitudinal and yearly updated individual level data were derived from different administrative registers and obtained from Statistics Finland. The data set includes an 11% random sample of all individuals aged 25–74 years at the end of 1999 and an 80% oversample of deaths in the follow-up period between 2000 and 2007. We used Cox proportional hazard regression with appropriate weights. Results We found twofold to threefold differences in amenable mortality between the top and bottom income quintiles. These differences were found to be largely attenuated by economic activity and living arrangements. We also found differences in amenable mortality by living arrangements suggesting that those living alone, as well as lone parents and those cohabiting have higher amenable mortality. These differences were largely independent of our indicators of socioeconomic position and economic activity. Conclusions While our results give indirect support to the hypothesis that income differences in amenable mortality may be at least partially due to barriers in access to care, the large independent effects of living arrangements on amenable mortality suggest that seeking care may also have an impact. |
doi_str_mv | 10.1136/jech-2014-204272 |
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Studies have consistently shown socioeconomic differences in amenable mortality, but evidence on the joint effects of multiple socioeconomic and demographic factors is limited. We examined whether income and living arrangements have an independent effect on amenable mortality taking into account other dimensions of social position. Methods The longitudinal and yearly updated individual level data were derived from different administrative registers and obtained from Statistics Finland. The data set includes an 11% random sample of all individuals aged 25–74 years at the end of 1999 and an 80% oversample of deaths in the follow-up period between 2000 and 2007. We used Cox proportional hazard regression with appropriate weights. Results We found twofold to threefold differences in amenable mortality between the top and bottom income quintiles. These differences were found to be largely attenuated by economic activity and living arrangements. We also found differences in amenable mortality by living arrangements suggesting that those living alone, as well as lone parents and those cohabiting have higher amenable mortality. These differences were largely independent of our indicators of socioeconomic position and economic activity. Conclusions While our results give indirect support to the hypothesis that income differences in amenable mortality may be at least partially due to barriers in access to care, the large independent effects of living arrangements on amenable mortality suggest that seeking care may also have an impact.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech-2014-204272</identifier><identifier>PMID: 25059732</identifier><identifier>CODEN: JECHDR</identifier><language>eng</language><publisher>London: BMJ Publishing Group</publisher><subject>Adult ; Age differences ; Aged ; Ambulatory care ; Asthma ; Biological and medical sciences ; Cause of Death ; Chronic obstructive pulmonary disease ; Cohabitation ; Community health ; Death ; Economic models ; Economics ; Educational Status ; Epidemiology ; Families & family life ; Family Characteristics ; Family income ; Female ; Finland - epidemiology ; General aspects ; Health care ; Health care industry ; Health disparities ; Health facilities ; Health Services Accessibility - economics ; Healthcare Disparities - economics ; Healthcare Disparities - statistics & numerical data ; Household and family health ; Households ; Humans ; Income ; Income - statistics & numerical data ; Living alone ; Living arrangements ; Longitudinal Studies ; Male ; Medical sciences ; Men ; Middle Aged ; Miscellaneous ; Mortality ; Mortality, Premature ; Proportional Hazards Models ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Registries ; Residence Characteristics ; Social Class ; Social classes ; Socioeconomic factors ; Socioeconomics ; Womens health</subject><ispartof>Journal of epidemiology and community health (1979), 2014-10, Vol.68 (10), p.965-970</ispartof><rights>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>2014 BMJ Publishing Group</rights><rights>2015 INIST-CNRS</rights><rights>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: 2014 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><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b588t-1c72b56ccb664c289b24e7bef699228b32453e0197aa19fdfc06a11ef62485cc3</citedby><cites>FETCH-LOGICAL-b588t-1c72b56ccb664c289b24e7bef699228b32453e0197aa19fdfc06a11ef62485cc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/68/10/965.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/68/10/965.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>112,113,314,777,781,3181,27905,27906,58219,58452,77343,77344</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28759663$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25059732$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Manderbacka, Kristiina</creatorcontrib><creatorcontrib>Peltonen, Riina</creatorcontrib><creatorcontrib>Martikainen, Pekka</creatorcontrib><title>Amenable mortality by household income and living arrangements: a linked register-based study of Finnish men and women in 2000–2007</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>Background Mortality amenable to healthcare interventions has increasingly been used as an indirect indicator of the effect of healthcare on health inequalities. Studies have consistently shown socioeconomic differences in amenable mortality, but evidence on the joint effects of multiple socioeconomic and demographic factors is limited. We examined whether income and living arrangements have an independent effect on amenable mortality taking into account other dimensions of social position. Methods The longitudinal and yearly updated individual level data were derived from different administrative registers and obtained from Statistics Finland. The data set includes an 11% random sample of all individuals aged 25–74 years at the end of 1999 and an 80% oversample of deaths in the follow-up period between 2000 and 2007. We used Cox proportional hazard regression with appropriate weights. Results We found twofold to threefold differences in amenable mortality between the top and bottom income quintiles. These differences were found to be largely attenuated by economic activity and living arrangements. We also found differences in amenable mortality by living arrangements suggesting that those living alone, as well as lone parents and those cohabiting have higher amenable mortality. These differences were largely independent of our indicators of socioeconomic position and economic activity. Conclusions While our results give indirect support to the hypothesis that income differences in amenable mortality may be at least partially due to barriers in access to care, the large independent effects of living arrangements on amenable mortality suggest that seeking care may also have an impact.</description><subject>Adult</subject><subject>Age differences</subject><subject>Aged</subject><subject>Ambulatory care</subject><subject>Asthma</subject><subject>Biological and medical sciences</subject><subject>Cause of Death</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Cohabitation</subject><subject>Community health</subject><subject>Death</subject><subject>Economic models</subject><subject>Economics</subject><subject>Educational Status</subject><subject>Epidemiology</subject><subject>Families & family life</subject><subject>Family Characteristics</subject><subject>Family income</subject><subject>Female</subject><subject>Finland - epidemiology</subject><subject>General aspects</subject><subject>Health care</subject><subject>Health care industry</subject><subject>Health disparities</subject><subject>Health facilities</subject><subject>Health Services Accessibility - economics</subject><subject>Healthcare Disparities - economics</subject><subject>Healthcare Disparities - statistics & numerical data</subject><subject>Household and family health</subject><subject>Households</subject><subject>Humans</subject><subject>Income</subject><subject>Income - statistics & numerical data</subject><subject>Living alone</subject><subject>Living arrangements</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Mortality</subject><subject>Mortality, Premature</subject><subject>Proportional Hazards Models</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Registries</subject><subject>Residence Characteristics</subject><subject>Social Class</subject><subject>Social classes</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Womens health</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkU2LFDEQhoMo7jh696IEZEGQ1nx_eFsWV4UFLwremiSdnknbnV6TbmVue_EX-A_9JabtcQUve0kleZ8qquoF4DFGLzGm4lXn3b4iCLNyMCLJHbDBTKKKSKrugk0RaIUQ_3wCHuTcoXKVRN8HJ4QjriUlG_DjbPDR2N7DYUyT6cN0gPYA9-Oc_X7sGxiiGwcPTWxgH76FuIMmJRN3vuRN-TU05Tt-8Q1Mfhfy5FNlTS7PPM3NAY4tvAgxhryHhf9T5fu43EKEpPTz6_pnCfIhuNeaPvtHx7gFny7efDx_V11-ePv-_OyyslypqcJOEsuFc1YI5ojSljAvrW-F1oQoSwnj1COspTFYt03rkDAYF50wxZ2jW_B8rXuVxq-zz1M9hOx835voy8Q1VkgJRhDlt6NcIKRl2XZBn_2HduOcYhmkxlJqopgsy94CtFIujTkn39ZXKQwmHWqM6sXNenGzXtysVzdLytNj4dkOvrlJ-GtfAU6PgMnO9G0xxoX8j1OSayFo4Z6sXJenMd3ojBKFNVqGfbHqduhub-s3PhS-kw</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Manderbacka, Kristiina</creator><creator>Peltonen, Riina</creator><creator>Martikainen, Pekka</creator><general>BMJ Publishing Group</general><general>BMJ Publishing Group LTD</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>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>AEUYN</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>7T2</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20141001</creationdate><title>Amenable mortality by household income and living arrangements: a linked register-based study of Finnish men and women in 2000–2007</title><author>Manderbacka, Kristiina ; Peltonen, Riina ; Martikainen, Pekka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b588t-1c72b56ccb664c289b24e7bef699228b32453e0197aa19fdfc06a11ef62485cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Age differences</topic><topic>Aged</topic><topic>Ambulatory care</topic><topic>Asthma</topic><topic>Biological and medical sciences</topic><topic>Cause of Death</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Cohabitation</topic><topic>Community health</topic><topic>Death</topic><topic>Economic models</topic><topic>Economics</topic><topic>Educational Status</topic><topic>Epidemiology</topic><topic>Families & family life</topic><topic>Family Characteristics</topic><topic>Family income</topic><topic>Female</topic><topic>Finland - epidemiology</topic><topic>General aspects</topic><topic>Health care</topic><topic>Health care industry</topic><topic>Health disparities</topic><topic>Health facilities</topic><topic>Health Services Accessibility - economics</topic><topic>Healthcare Disparities - economics</topic><topic>Healthcare Disparities - statistics & numerical data</topic><topic>Household and family health</topic><topic>Households</topic><topic>Humans</topic><topic>Income</topic><topic>Income - statistics & numerical data</topic><topic>Living alone</topic><topic>Living arrangements</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Men</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Mortality</topic><topic>Mortality, Premature</topic><topic>Proportional Hazards Models</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Registries</topic><topic>Residence Characteristics</topic><topic>Social Class</topic><topic>Social classes</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Manderbacka, Kristiina</creatorcontrib><creatorcontrib>Peltonen, Riina</creatorcontrib><creatorcontrib>Martikainen, Pekka</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 Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Source</collection><collection>ProQuest Health and Medical</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)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest 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>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>ProQuest Science Journals</collection><collection>ProQuest Biological Science Journals</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>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Manderbacka, Kristiina</au><au>Peltonen, Riina</au><au>Martikainen, Pekka</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Amenable mortality by household income and living arrangements: a linked register-based study of Finnish men and women in 2000–2007</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>68</volume><issue>10</issue><spage>965</spage><epage>970</epage><pages>965-970</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><coden>JECHDR</coden><abstract>Background Mortality amenable to healthcare interventions has increasingly been used as an indirect indicator of the effect of healthcare on health inequalities. Studies have consistently shown socioeconomic differences in amenable mortality, but evidence on the joint effects of multiple socioeconomic and demographic factors is limited. We examined whether income and living arrangements have an independent effect on amenable mortality taking into account other dimensions of social position. Methods The longitudinal and yearly updated individual level data were derived from different administrative registers and obtained from Statistics Finland. The data set includes an 11% random sample of all individuals aged 25–74 years at the end of 1999 and an 80% oversample of deaths in the follow-up period between 2000 and 2007. We used Cox proportional hazard regression with appropriate weights. Results We found twofold to threefold differences in amenable mortality between the top and bottom income quintiles. These differences were found to be largely attenuated by economic activity and living arrangements. We also found differences in amenable mortality by living arrangements suggesting that those living alone, as well as lone parents and those cohabiting have higher amenable mortality. These differences were largely independent of our indicators of socioeconomic position and economic activity. Conclusions While our results give indirect support to the hypothesis that income differences in amenable mortality may be at least partially due to barriers in access to care, the large independent effects of living arrangements on amenable mortality suggest that seeking care may also have an impact.</abstract><cop>London</cop><pub>BMJ Publishing Group</pub><pmid>25059732</pmid><doi>10.1136/jech-2014-204272</doi><tpages>6</tpages></addata></record> |
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subjects | Adult Age differences Aged Ambulatory care Asthma Biological and medical sciences Cause of Death Chronic obstructive pulmonary disease Cohabitation Community health Death Economic models Economics Educational Status Epidemiology Families & family life Family Characteristics Family income Female Finland - epidemiology General aspects Health care Health care industry Health disparities Health facilities Health Services Accessibility - economics Healthcare Disparities - economics Healthcare Disparities - statistics & numerical data Household and family health Households Humans Income Income - statistics & numerical data Living alone Living arrangements Longitudinal Studies Male Medical sciences Men Middle Aged Miscellaneous Mortality Mortality, Premature Proportional Hazards Models Public health. Hygiene Public health. Hygiene-occupational medicine Registries Residence Characteristics Social Class Social classes Socioeconomic factors Socioeconomics Womens health |
title | Amenable mortality by household income and living arrangements: a linked register-based study of Finnish men and women in 2000–2007 |
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