Socioeconomic differentials in cause-specific mortality among 1.4 million South Korean public servants and their dependents
BackgroundA growing number of investigations have explored the contribution of cause of death to socioeconomic inequalities in mortality in Europe and North America, but few such studies have been performed on Asian populations.ObjectivesTo analyse the socioeconomic inequality of cause-specific deat...
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description | BackgroundA growing number of investigations have explored the contribution of cause of death to socioeconomic inequalities in mortality in Europe and North America, but few such studies have been performed on Asian populations.ObjectivesTo analyse the socioeconomic inequality of cause-specific death rates from both an absolute and relative perspective, and to evaluate the contribution of cause of death to total mortality inequality in South Korea.MethodsData were obtained from public servant health insurance beneficiary records. 1 403 297 subjects aged 35–64 years were followed for 9 years. Health insurance premium levels were used as a socioeconomic position indicator. The outcome variables were all-cause, 11 broad causes and 41 specific causes of death. Mortality differentials were examined using cause-specific age-adjusted mortality, relative indices of inequality, and slope inequality indices.ResultsGraded inverse associations between income and mortality were found for most, but not all, specific causes of death. The major contributors to income differentials in total mortality in men were liver disease (15.4%), stroke (12.8%), land transport accidents (10.0%), lung cancer (7.1%) and liver cancer (7.0%). In women, stroke (30.7%), diabetes (9.1%), land transport accidents (6.6%), liver cancer (6.0%) and liver disease (5.1%) were important.ConclusionsThe contribution of the cause of death to socioeconomic inequality in mortality in South Korea differed from Western countries. To develop a policy to reduce the magnitude of socioeconomic inequality, an understanding of the major causes of death that contribute to mortality inequality is required. |
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Health insurance premium levels were used as a socioeconomic position indicator. The outcome variables were all-cause, 11 broad causes and 41 specific causes of death. Mortality differentials were examined using cause-specific age-adjusted mortality, relative indices of inequality, and slope inequality indices.ResultsGraded inverse associations between income and mortality were found for most, but not all, specific causes of death. The major contributors to income differentials in total mortality in men were liver disease (15.4%), stroke (12.8%), land transport accidents (10.0%), lung cancer (7.1%) and liver cancer (7.0%). In women, stroke (30.7%), diabetes (9.1%), land transport accidents (6.6%), liver cancer (6.0%) and liver disease (5.1%) were important.ConclusionsThe contribution of the cause of death to socioeconomic inequality in mortality in South Korea differed from Western countries. To develop a policy to reduce the magnitude of socioeconomic inequality, an understanding of the major causes of death that contribute to mortality inequality is required.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech.2009.100651</identifier><identifier>PMID: 20584732</identifier><identifier>CODEN: JECHDR</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd</publisher><subject>Accidents ; Adult ; Biological and medical sciences ; Cancer ; Cardiovascular disease ; Cause of Death ; Causes of death ; Civil service ; contribution ; Death ; Digestive system diseases ; Epidemiology ; Female ; General aspects ; Health disparities ; Health insurance ; Health risk assessment ; Health Status Disparities ; Humans ; Income ; Income inequality ; Insurance ; Korea - epidemiology ; Liver ; Liver diseases ; Lung cancer ; Male ; Medical sciences ; Men ; Middle Aged ; Miscellaneous ; Mortality ; public health epidemiology ; public health policy ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Public Sector - statistics & numerical data ; Research report ; social inequalities ; socioeconomic ; Socioeconomic Factors ; socioeconomic inequality ; Socioeconomics ; stroke ; Strokes ; Studies ; Womens health</subject><ispartof>Journal of epidemiology and community health (1979), 2011-07, Vol.65 (7), p.632-638</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>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><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b484t-3f4f4f2e161b0a26d2a93c650697eb61c52828b7106660fbb84b0f70b486f1513</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/65/7/632.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/65/7/632.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,799,3183,23550,27901,27902,57992,58225,77342,77373</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24230817$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20584732$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jung-Choi, K</creatorcontrib><creatorcontrib>Khang, Y H</creatorcontrib><creatorcontrib>Cho, H J</creatorcontrib><title>Socioeconomic differentials in cause-specific mortality among 1.4 million South Korean public servants and their dependents</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>BackgroundA growing number of investigations have explored the contribution of cause of death to socioeconomic inequalities in mortality in Europe and North America, but few such studies have been performed on Asian populations.ObjectivesTo analyse the socioeconomic inequality of cause-specific death rates from both an absolute and relative perspective, and to evaluate the contribution of cause of death to total mortality inequality in South Korea.MethodsData were obtained from public servant health insurance beneficiary records. 1 403 297 subjects aged 35–64 years were followed for 9 years. Health insurance premium levels were used as a socioeconomic position indicator. The outcome variables were all-cause, 11 broad causes and 41 specific causes of death. Mortality differentials were examined using cause-specific age-adjusted mortality, relative indices of inequality, and slope inequality indices.ResultsGraded inverse associations between income and mortality were found for most, but not all, specific causes of death. The major contributors to income differentials in total mortality in men were liver disease (15.4%), stroke (12.8%), land transport accidents (10.0%), lung cancer (7.1%) and liver cancer (7.0%). In women, stroke (30.7%), diabetes (9.1%), land transport accidents (6.6%), liver cancer (6.0%) and liver disease (5.1%) were important.ConclusionsThe contribution of the cause of death to socioeconomic inequality in mortality in South Korea differed from Western countries. To develop a policy to reduce the magnitude of socioeconomic inequality, an understanding of the major causes of death that contribute to mortality inequality is required.</description><subject>Accidents</subject><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Cancer</subject><subject>Cardiovascular disease</subject><subject>Cause of Death</subject><subject>Causes of death</subject><subject>Civil service</subject><subject>contribution</subject><subject>Death</subject><subject>Digestive system diseases</subject><subject>Epidemiology</subject><subject>Female</subject><subject>General aspects</subject><subject>Health disparities</subject><subject>Health insurance</subject><subject>Health risk assessment</subject><subject>Health Status Disparities</subject><subject>Humans</subject><subject>Income</subject><subject>Income inequality</subject><subject>Insurance</subject><subject>Korea - epidemiology</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Lung cancer</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Mortality</subject><subject>public health epidemiology</subject><subject>public health policy</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Public Sector - statistics & numerical data</subject><subject>Research report</subject><subject>social inequalities</subject><subject>socioeconomic</subject><subject>Socioeconomic Factors</subject><subject>socioeconomic inequality</subject><subject>Socioeconomics</subject><subject>stroke</subject><subject>Strokes</subject><subject>Studies</subject><subject>Womens health</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>BENPR</sourceid><recordid>eNqF0c2L1DAYBvAiijuu3r0oAREP0vHNR5P2uAy66i4Krh97C2maOBnbpCatuPjPm6HjLnhZckjg-b0J4SmKxxjWGFP-amf0dk0AmjUG4BW-U6wwE1ASQeu7xQowoyVAdXlUPEhpB_koSHO_OCJQ1UxQsir-XATtgtHBh8Fp1DlrTTR-cqpPyHmk1ZxMmUajnc35EOKkejddITUE_x3hNUOD63sXPLoI87RFZyEa5dE4t332ycRfyk8JKd-haWtcRJ0Zje_yE-lhcc_mZ8yjw35cfHnz-vPmbXn-8fTd5uS8bFnNppJalhcxmOMWFOEdUQ3VvALeCNNyrCtSk7oVGDjnYNu2Zi1YAXmaW1xhely8WO4dY_g5mzTJwSVt-l55E-YkG2BMcMLorbIWpKK0ITzLZ__JXZijz9-QWIiGiKYGyAoWpWNIKRorx-gGFa8kBrlvUO4blPsG5dJgHnl6uHhuB9NdD_yrLIPnB6CSVr2NymuXbhwjFGossnuyuF2aQrzJKVTQ1Czn5ZK7NJnf17mKPyQXVFTyw9eN_PQNTiv8_kxeZv9y8e2wu_0bfwEUqMni</recordid><startdate>20110701</startdate><enddate>20110701</enddate><creator>Jung-Choi, K</creator><creator>Khang, Y H</creator><creator>Cho, H 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>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>20110701</creationdate><title>Socioeconomic differentials in cause-specific mortality among 1.4 million South Korean public servants and their dependents</title><author>Jung-Choi, K ; Khang, Y H ; Cho, H J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b484t-3f4f4f2e161b0a26d2a93c650697eb61c52828b7106660fbb84b0f70b486f1513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accidents</topic><topic>Adult</topic><topic>Biological and medical sciences</topic><topic>Cancer</topic><topic>Cardiovascular disease</topic><topic>Cause of Death</topic><topic>Causes of death</topic><topic>Civil service</topic><topic>contribution</topic><topic>Death</topic><topic>Digestive system diseases</topic><topic>Epidemiology</topic><topic>Female</topic><topic>General aspects</topic><topic>Health disparities</topic><topic>Health insurance</topic><topic>Health risk assessment</topic><topic>Health Status Disparities</topic><topic>Humans</topic><topic>Income</topic><topic>Income inequality</topic><topic>Insurance</topic><topic>Korea - epidemiology</topic><topic>Liver</topic><topic>Liver diseases</topic><topic>Lung cancer</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Men</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Mortality</topic><topic>public health epidemiology</topic><topic>public health policy</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Public Sector - statistics & numerical data</topic><topic>Research report</topic><topic>social inequalities</topic><topic>socioeconomic</topic><topic>Socioeconomic Factors</topic><topic>socioeconomic inequality</topic><topic>Socioeconomics</topic><topic>stroke</topic><topic>Strokes</topic><topic>Studies</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jung-Choi, K</creatorcontrib><creatorcontrib>Khang, Y H</creatorcontrib><creatorcontrib>Cho, H 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>ProQuest Nursing and Allied Health Journals</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>ProQuest 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>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>ProQuest Science Journals</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>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>Jung-Choi, K</au><au>Khang, Y H</au><au>Cho, H J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socioeconomic differentials in cause-specific mortality among 1.4 million South Korean public servants and their dependents</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2011-07-01</date><risdate>2011</risdate><volume>65</volume><issue>7</issue><spage>632</spage><epage>638</epage><pages>632-638</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><coden>JECHDR</coden><abstract>BackgroundA growing number of investigations have explored the contribution of cause of death to socioeconomic inequalities in mortality in Europe and North America, but few such studies have been performed on Asian populations.ObjectivesTo analyse the socioeconomic inequality of cause-specific death rates from both an absolute and relative perspective, and to evaluate the contribution of cause of death to total mortality inequality in South Korea.MethodsData were obtained from public servant health insurance beneficiary records. 1 403 297 subjects aged 35–64 years were followed for 9 years. Health insurance premium levels were used as a socioeconomic position indicator. The outcome variables were all-cause, 11 broad causes and 41 specific causes of death. Mortality differentials were examined using cause-specific age-adjusted mortality, relative indices of inequality, and slope inequality indices.ResultsGraded inverse associations between income and mortality were found for most, but not all, specific causes of death. The major contributors to income differentials in total mortality in men were liver disease (15.4%), stroke (12.8%), land transport accidents (10.0%), lung cancer (7.1%) and liver cancer (7.0%). In women, stroke (30.7%), diabetes (9.1%), land transport accidents (6.6%), liver cancer (6.0%) and liver disease (5.1%) were important.ConclusionsThe contribution of the cause of death to socioeconomic inequality in mortality in South Korea differed from Western countries. To develop a policy to reduce the magnitude of socioeconomic inequality, an understanding of the major causes of death that contribute to mortality inequality is required.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd</pub><pmid>20584732</pmid><doi>10.1136/jech.2009.100651</doi><tpages>7</tpages></addata></record> |
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subjects | Accidents Adult Biological and medical sciences Cancer Cardiovascular disease Cause of Death Causes of death Civil service contribution Death Digestive system diseases Epidemiology Female General aspects Health disparities Health insurance Health risk assessment Health Status Disparities Humans Income Income inequality Insurance Korea - epidemiology Liver Liver diseases Lung cancer Male Medical sciences Men Middle Aged Miscellaneous Mortality public health epidemiology public health policy Public health. Hygiene Public health. Hygiene-occupational medicine Public Sector - statistics & numerical data Research report social inequalities socioeconomic Socioeconomic Factors socioeconomic inequality Socioeconomics stroke Strokes Studies Womens health |
title | Socioeconomic differentials in cause-specific mortality among 1.4 million South Korean public servants and their dependents |
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