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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
Main Authors: Rognerud, Marit Aase, Krüger, Øystein, Gjertsen, Finn, Thelle, Dag Steinar
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container_title European journal of epidemiology
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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. 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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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source JSTOR Archival Journals and Primary Sources Collection; Springer Link
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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