ArticleBMC public health2006
Contribution of main causes of death to social inequalities in mortality in the whole population of Scania, Sweden.
Article in BMC public health, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 42 citations in OpenAlex.
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- Health status, neighborhood socioeconomic context, and premature mortality in the United States: The National Institutes of Health-AARP Diet and Health Study.American journal of public health · 2012Article
- The possible absence of a healthy-worker effect: a cross-sectional survey among educated Japanese women.BMJ open · 2012Article
- Changes in contribution of causes of death to socioeconomic mortality inequalities in Korean adults.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2011Article
- Socioeconomic inequalities in cause specific mortality among older people in France.BMC public health · 2010Article
- Selection bias in a population survey with registry linkage: potential effect on socioeconomic gradient in cardiovascular risk.European journal of epidemiology · 2010Article
- Multilevel survival analysis of health inequalities in life expectancy.International journal for equity in health · 2009Article
- Trends in socioeconomic inequalities in cancer mortality in Barcelona: 1992-2003.BMC public health · 2009Article
- Ecological association between a deprivation index and mortality in France over the period 1997 - 2001: variations with spatial scale, degree of urbanicity, age, gender and cause of death.BMC public health · 2009Article
- Socio-economic status and overall and cause-specific mortality in Sweden.BMC public health · 2008Article
- The effect of socioeconomic status on three-year mortality after first-ever ischemic stroke in Nanjing, China.BMC public health · 2006Article
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo more efficiently reduce social inequalities in mortality, it is important to establish which causes of death contribute the most to socioeconomic mortality differentials. Few studies have investigated which diseases contribute to existing socioeconomic mortality differences in specific age groups and none were in samples of the whole population, where selection bias is minimized. The aim of the present study was to determine which causes of death contribute the most to social inequalities in mortality in each age group in the whole population of Scania, Sweden.
methodsData from LOMAS (Longitudinal Multilevel Analysis in Skåne) were used to estimate 12-year follow-up mortality rates across levels of socioeconomic position (SEP) and workforce participation in 975,938 men and women aged 0 to 80 years, during 1991-2002.
resultsThe results generally showed increasing absolute mortality differences between those holding manual and non-manual occupations with increasing age, while there were inverted u-shaped associations when using relative inequality measures. Cardiovascular diseases (CVD) contributed to 52% of the male socioeconomic difference in overall mortality, cancer to 18%, external causes to 4% and psychiatric disorders to 3%. The corresponding contributions in women were 55%, 21%, 2% and 3%. Additionally, those outside the workforce (i.e., students, housewives, disability pensioners, and the unemployed) showed a strongly increased risk of future mortality in all age groups compared to those inside the workforce. Even though coronary heart disease (CHD) played a major contributing role to the mortality differences seen, stroke and other types of cardiovascular diseases also made substantial contributions. Furthermore, while the most common types of cancers made substantial contributions to the socioeconomic mortality differences, in some age groups more than half of the differences in cancer mortality could be attributed to rarer cancers.
conclusionCHD made a major contribution to the socioeconomic differences in overall mortality. However, there were also important contributions from diseases with less well understood mechanistic links with SEP such as stroke and less-common cancers. Thus, an increased understanding of the mechanisms connecting SEP with more rare causes of disease might be important to be able to more successfully intervene on socioeconomic differences in health.
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