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Socio-economic Inequalities in Cause-specific Mortality: A 16-year Follow-up Study
by
Michael Tjepkema
, Andrea Long
, Russell Wilkins
in
Adult
/ Adults
/ Age groups
/ Aged
/ Aged, 80 and over
/ Attainment
/ Canada - epidemiology
/ Cancer
/ Cause of Death
/ Causes of death
/ Censuses
/ Classification
/ Death & dying
/ Economic inequality
/ Economics
/ Education
/ Educational attainment
/ Educational inequality
/ Female
/ Follow up studies
/ Health Status Disparities
/ High school diplomas
/ Humans
/ Income
/ Income inequality
/ Income level
/ Longitudinal studies
/ Low income groups
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Mortality
/ Population
/ Population studies
/ Public Health
/ Quantitative Research
/ Secondary analysis
/ Social inequality
/ Socioeconomic Factors
/ Socioeconomic indicators
/ Socioeconomics
/ Studies
2013
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Socio-economic Inequalities in Cause-specific Mortality: A 16-year Follow-up Study
by
Michael Tjepkema
, Andrea Long
, Russell Wilkins
in
Adult
/ Adults
/ Age groups
/ Aged
/ Aged, 80 and over
/ Attainment
/ Canada - epidemiology
/ Cancer
/ Cause of Death
/ Causes of death
/ Censuses
/ Classification
/ Death & dying
/ Economic inequality
/ Economics
/ Education
/ Educational attainment
/ Educational inequality
/ Female
/ Follow up studies
/ Health Status Disparities
/ High school diplomas
/ Humans
/ Income
/ Income inequality
/ Income level
/ Longitudinal studies
/ Low income groups
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Mortality
/ Population
/ Population studies
/ Public Health
/ Quantitative Research
/ Secondary analysis
/ Social inequality
/ Socioeconomic Factors
/ Socioeconomic indicators
/ Socioeconomics
/ Studies
2013
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Socio-economic Inequalities in Cause-specific Mortality: A 16-year Follow-up Study
by
Michael Tjepkema
, Andrea Long
, Russell Wilkins
in
Adult
/ Adults
/ Age groups
/ Aged
/ Aged, 80 and over
/ Attainment
/ Canada - epidemiology
/ Cancer
/ Cause of Death
/ Causes of death
/ Censuses
/ Classification
/ Death & dying
/ Economic inequality
/ Economics
/ Education
/ Educational attainment
/ Educational inequality
/ Female
/ Follow up studies
/ Health Status Disparities
/ High school diplomas
/ Humans
/ Income
/ Income inequality
/ Income level
/ Longitudinal studies
/ Low income groups
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Mortality
/ Population
/ Population studies
/ Public Health
/ Quantitative Research
/ Secondary analysis
/ Social inequality
/ Socioeconomic Factors
/ Socioeconomic indicators
/ Socioeconomics
/ Studies
2013
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Socio-economic Inequalities in Cause-specific Mortality: A 16-year Follow-up Study
Journal Article
Socio-economic Inequalities in Cause-specific Mortality: A 16-year Follow-up Study
2013
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Overview
OBJECTIVES:To examine socio-economic inequalities in cause-specific mortality by examining the independent effects of education, occupation and income in a population-based study of working-age Canadian adults.
METHODS:This is a secondary analysis of data from the 1991–2006 Canadian Census mortality and cancer follow-up study (n=2.7 million persons). For this analysis, the cohort was restricted to 2.3 million persons aged 25 to 64 at cohort inception, of whom 164,332 died during the follow-up period. Hazard ratios were calculated by educational attainment (4 levels), occupational skill (6 categories) and income adequacy (5 quintiles) for all-cause mortality and major causes of death. Models were run separately for men and women, controlled for multiple variables simultaneously, and some were stratified by 10-year age cohorts.
RESULTS:The magnitude of socio-economic inequalities in mortality differed by indicator of socio-economic position (education, occupation, or income), age group, sex, and cause of death. Compared to age-adjusted models, hazard ratios were attenuated but remained significant in models that adjusted for both age and all three indicators of socio-economic position simultaneously. Socio-economic inequalities in mortality were evident for most of the major causes of death examined.
CONCLUSION:This study demonstrates that education, occupation and income were each independently associated with mortality and were not simply proxies for each other. When evaluating socio-economic inequalities in mortality, it is important to use different indicators of socio-economic position to provide a more complete picture.
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