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Strong Regional Links between Socio-Economic Background Factors and Disability and Mortality in Oslo, Norway
Study objective: To study geographical differences in mortality and disability and sosio-economic status in Oslo, Norway. Setting: A total of 25 local authority districts within the city of Oslo. Design: Analysis of age adjusted mortality rates aged 0-74 in the period 1991-1994, and cross sectional...
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Published in: | European journal of epidemiology 1998-07, Vol.14 (5), p.457-463 |
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creator | Rognerud, Marit Aase Krüger, Øystein Gjertsen, Finn Thelle, Dag Steinar |
description | Study objective: To study geographical differences in mortality and disability and sosio-economic status in Oslo, Norway. Setting: A total of 25 local authority districts within the city of Oslo. Design: Analysis of age adjusted mortality rates aged 0-74 in the period 1991-1994, and cross sectional data on disability pensioners aged 50-66 and socio-economic indicators (low education, single parenthood, unemployment, high income) in 1994. Main outcome measures: The levels of correlation between the health outcomes (mortality and disability) and sosio-economic exposure variables. Main results: The geographical patterns of mortality and disability display substantial similarities and show strong linear correlation with area measures of socio-economic deprivation. The ratios between the highest and lowest area mortality rates were 3.3 for men and 2.1 for women, while the high-low ratios of disability were 7.0 for men and 3.8 for women. For women deprivation measures are better correlated with disability than mortality. While disability and mortality display similar correlations with deprivation measures for men. Conclusions: The social gradients in health are substantial in Oslo. Further ecological analysis of cause specific morbidity and mortality and the distribution of risk factors ought to be done to identify problem areas suitable for interventions. However, to understand the mechanisms and the relative importance of each etiological factor, studies based on individual data have to be performed. |
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Setting: A total of 25 local authority districts within the city of Oslo. Design: Analysis of age adjusted mortality rates aged 0-74 in the period 1991-1994, and cross sectional data on disability pensioners aged 50-66 and socio-economic indicators (low education, single parenthood, unemployment, high income) in 1994. Main outcome measures: The levels of correlation between the health outcomes (mortality and disability) and sosio-economic exposure variables. Main results: The geographical patterns of mortality and disability display substantial similarities and show strong linear correlation with area measures of socio-economic deprivation. The ratios between the highest and lowest area mortality rates were 3.3 for men and 2.1 for women, while the high-low ratios of disability were 7.0 for men and 3.8 for women. For women deprivation measures are better correlated with disability than mortality. While disability and mortality display similar correlations with deprivation measures for men. Conclusions: The social gradients in health are substantial in Oslo. Further ecological analysis of cause specific morbidity and mortality and the distribution of risk factors ought to be done to identify problem areas suitable for interventions. However, to understand the mechanisms and the relative importance of each etiological factor, studies based on individual data have to be performed.</description><identifier>ISSN: 0393-2990</identifier><identifier>EISSN: 1573-7284</identifier><identifier>DOI: 10.1023/A:1007448120325</identifier><identifier>PMID: 9744677</identifier><identifier>CODEN: EJEPE8</identifier><language>eng</language><publisher>Dordrecht: Kluwer Academic Publishers</publisher><subject>Adolescent ; Adult ; Aged ; Analysis. Health state ; Biological and medical sciences ; Child ; Child, Preschool ; Correlations ; Cross-Sectional Studies ; Disabilities ; Disabled Persons - statistics & numerical data ; Economics ; Epidemiology ; Female ; General aspects ; High income ; Humans ; Infant ; Local government ; Male ; Medical sciences ; Men ; Middle Aged ; Mortality ; Norway - epidemiology ; Parenthood ; Predisposing factors ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Retirement ; Risk factors ; Socioeconomic Factors ; Socioeconomics ; Statistics, Nonparametric ; Unemployment</subject><ispartof>European journal of epidemiology, 1998-07, Vol.14 (5), p.457-463</ispartof><rights>Copyright 1998 Kluwer Academic Publishers</rights><rights>1998 INIST-CNRS</rights><rights>Kluwer Academic Publishers 1998</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c330t-1d349c13ad37300838e1da1893f429c5d4891c81150091ea620163591272dff43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3582397$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3582397$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,58238,58471</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2357421$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9744677$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rognerud, Marit Aase</creatorcontrib><creatorcontrib>Krüger, Øystein</creatorcontrib><creatorcontrib>Gjertsen, Finn</creatorcontrib><creatorcontrib>Thelle, Dag Steinar</creatorcontrib><title>Strong Regional Links between Socio-Economic Background Factors and Disability and Mortality in Oslo, Norway</title><title>European journal of epidemiology</title><addtitle>Eur J Epidemiol</addtitle><description>Study objective: To study geographical differences in mortality and disability and sosio-economic status in Oslo, Norway. Setting: A total of 25 local authority districts within the city of Oslo. Design: Analysis of age adjusted mortality rates aged 0-74 in the period 1991-1994, and cross sectional data on disability pensioners aged 50-66 and socio-economic indicators (low education, single parenthood, unemployment, high income) in 1994. Main outcome measures: The levels of correlation between the health outcomes (mortality and disability) and sosio-economic exposure variables. Main results: The geographical patterns of mortality and disability display substantial similarities and show strong linear correlation with area measures of socio-economic deprivation. The ratios between the highest and lowest area mortality rates were 3.3 for men and 2.1 for women, while the high-low ratios of disability were 7.0 for men and 3.8 for women. For women deprivation measures are better correlated with disability than mortality. While disability and mortality display similar correlations with deprivation measures for men. Conclusions: The social gradients in health are substantial in Oslo. Further ecological analysis of cause specific morbidity and mortality and the distribution of risk factors ought to be done to identify problem areas suitable for interventions. However, to understand the mechanisms and the relative importance of each etiological factor, studies based on individual data have to be performed.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis. Health state</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Correlations</subject><subject>Cross-Sectional Studies</subject><subject>Disabilities</subject><subject>Disabled Persons - statistics & numerical data</subject><subject>Economics</subject><subject>Epidemiology</subject><subject>Female</subject><subject>General aspects</subject><subject>High income</subject><subject>Humans</subject><subject>Infant</subject><subject>Local government</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Norway - epidemiology</subject><subject>Parenthood</subject><subject>Predisposing factors</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Retirement</subject><subject>Risk factors</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Statistics, Nonparametric</subject><subject>Unemployment</subject><issn>0393-2990</issn><issn>1573-7284</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNpdkM1PGzEQxS1UBClw5gKSpVY9scXjseN1b5RCWymAxMd55Xi9kcPGBntXKP89LkQcepp5er95Gj1CDoF9B8bx9OwHMKaEqIEz5HKLTEAqrBSvxScyYaix4lqzXfI55yVjrGZa7pAdXU6mSk1IfzekGBb01i18DKanMx8eM5274cW5QO-i9bG6sDHElbf0p7GPixTH0NJLY4eYMjVl_-WzmfveD-s3eRXTYN6UD_Qm9_GEXsf0Ytb7ZLszfXYHm7lHHi4v7s__VLOb33_Pz2aVRWRDBS0KbQFNiwrLy1g7aA3UGjvBtZWtqDXYGkAypsGZKWcwRamBK952ncA98u099ynF59HloVn5bF3fm-DimBuFmgvJVQG__Acu45hKDbkBBmoqS-g_6nhDjfOVa5un5FcmrZtNicX_uvFNtqbvkgnW5w-Mo1SCQ8GO3rFlLs192ChrjlrhK_ulh5M</recordid><startdate>19980701</startdate><enddate>19980701</enddate><creator>Rognerud, Marit Aase</creator><creator>Krüger, Øystein</creator><creator>Gjertsen, Finn</creator><creator>Thelle, Dag Steinar</creator><general>Kluwer Academic Publishers</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7QL</scope><scope>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>19980701</creationdate><title>Strong Regional Links between Socio-Economic Background Factors and Disability and Mortality in Oslo, Norway</title><author>Rognerud, Marit Aase ; Krüger, Øystein ; Gjertsen, Finn ; Thelle, Dag Steinar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c330t-1d349c13ad37300838e1da1893f429c5d4891c81150091ea620163591272dff43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Analysis. Health state</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Correlations</topic><topic>Cross-Sectional Studies</topic><topic>Disabilities</topic><topic>Disabled Persons - statistics & numerical data</topic><topic>Economics</topic><topic>Epidemiology</topic><topic>Female</topic><topic>General aspects</topic><topic>High income</topic><topic>Humans</topic><topic>Infant</topic><topic>Local government</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Men</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Norway - epidemiology</topic><topic>Parenthood</topic><topic>Predisposing factors</topic><topic>Public health. Hygiene</topic><topic>Public health. 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Setting: A total of 25 local authority districts within the city of Oslo. Design: Analysis of age adjusted mortality rates aged 0-74 in the period 1991-1994, and cross sectional data on disability pensioners aged 50-66 and socio-economic indicators (low education, single parenthood, unemployment, high income) in 1994. Main outcome measures: The levels of correlation between the health outcomes (mortality and disability) and sosio-economic exposure variables. Main results: The geographical patterns of mortality and disability display substantial similarities and show strong linear correlation with area measures of socio-economic deprivation. The ratios between the highest and lowest area mortality rates were 3.3 for men and 2.1 for women, while the high-low ratios of disability were 7.0 for men and 3.8 for women. For women deprivation measures are better correlated with disability than mortality. While disability and mortality display similar correlations with deprivation measures for men. Conclusions: The social gradients in health are substantial in Oslo. Further ecological analysis of cause specific morbidity and mortality and the distribution of risk factors ought to be done to identify problem areas suitable for interventions. However, to understand the mechanisms and the relative importance of each etiological factor, studies based on individual data have to be performed.</abstract><cop>Dordrecht</cop><pub>Kluwer Academic Publishers</pub><pmid>9744677</pmid><doi>10.1023/A:1007448120325</doi><tpages>7</tpages></addata></record> |
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subjects | Adolescent Adult Aged Analysis. Health state Biological and medical sciences Child Child, Preschool Correlations Cross-Sectional Studies Disabilities Disabled Persons - statistics & numerical data Economics Epidemiology Female General aspects High income Humans Infant Local government Male Medical sciences Men Middle Aged Mortality Norway - epidemiology Parenthood Predisposing factors Public health. Hygiene Public health. Hygiene-occupational medicine Retirement Risk factors Socioeconomic Factors Socioeconomics Statistics, Nonparametric Unemployment |
title | Strong Regional Links between Socio-Economic Background Factors and Disability and Mortality in Oslo, Norway |
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