Politics.be - Los bericht bekijken - NVA geeft De Gucht gelijk, in zijn sneer naar gehandicapten.

subocaj · 28 augustus 2011, 11:42

Most important results:
The construction of the National Databank Mortality 1991-1996 has lead to a Belgian empirical contribution to the debate concerning social inequality in mortality. Research results clearly confirm the international patterns in Belgium, with the privileged classes showing the lowest mortality risks, the deprived classes the highest mortality risks and in-between levels for the middle classes. In the middle-aged population (40-64), all socio-economic variables generate significant effects, not only in gross models, but also in net models, including age and several socio-economic variables simultaneously. Regional differences are striking too in this age interval, the French-speaking part of the country having the highest mortality risks, the Dutch-speaking part the lowest. After control for educational level, type of income, housing and household position, regional differences in mortality remain significant. Life tables by educational level and region show a difference in life expectancy of 12.4 years between a highly educated woman aged 25 in the Flemish Region and a low educated man aged 25 in the Walloon Region. Differences in healthy life expectancy are even larger. Cause-specific analyses confirm inequalities for practically all causes of death. At young age, inequalities are significant not only for exogenous mortality but also for endogenous mortality. By national origin, the low mortality of most migrant groups can be explained by man-made causes of death such as alcohol abuse, tobacco consumption, traffic accidents and suicide. In the doctoral research project of Sylvie Gadeyne, Poisson regressions confirm the internationally observed patterns with clear differences in all-cause and cause-specific mortality rates according to several dimensions of socio-economic position at all age intervals, from young age (15-29) to old age (75 and over). A decomposition of inequalities in cause-specific contributions shows that traffic accidents have the largest contribution to mortality differentials at young age, neoplasms at adult age and cardiovascular diseases and respiratory diseases at older age. Relative inequalities are significant for practically all cause groups. The patterns of course differ by age group and by socio-economic dimension. All these research results open pathways for interpretation of how social gradients in health are shaped for men and women in the different stages of life. Inequalities are not limited to the most deprived classes having the highest mortality risks, but consist of a clear gradient. The patterns suggest that health policies should focus on different dimensions of socio-economic position (education, housing, employment, profession) and that not only the most marginalised or the most deprived population groups should be targeted, but also the intermediate middle classes. Specific subgroups have shown to be vulnerable for specific causes of death, another factor which should be taken into consideration in health policies.

http://www.vub.ac.be/SOCO/demo/proje...lmortality.htm

Als je dit even bestudeerd kom je waarschijnlijk tot andere conclusies als onze paradepaardjes De Gucht en N-VA.

28 augustus 2011, 11:42	#201
subocaj Perm. Vertegenwoordiger VN Geregistreerd: 11 juni 2010 Berichten: 15.948	Most important results: The construction of the National Databank Mortality 1991-1996 has lead to a Belgian empirical contribution to the debate concerning social inequality in mortality. Research results clearly confirm the international patterns in Belgium, with the privileged classes showing the lowest mortality risks, the deprived classes the highest mortality risks and in-between levels for the middle classes. In the middle-aged population (40-64), all socio-economic variables generate significant effects, not only in gross models, but also in net models, including age and several socio-economic variables simultaneously. Regional differences are striking too in this age interval, the French-speaking part of the country having the highest mortality risks, the Dutch-speaking part the lowest. After control for educational level, type of income, housing and household position, regional differences in mortality remain significant. Life tables by educational level and region show a difference in life expectancy of 12.4 years between a highly educated woman aged 25 in the Flemish Region and a low educated man aged 25 in the Walloon Region. Differences in healthy life expectancy are even larger. Cause-specific analyses confirm inequalities for practically all causes of death. At young age, inequalities are significant not only for exogenous mortality but also for endogenous mortality. By national origin, the low mortality of most migrant groups can be explained by man-made causes of death such as alcohol abuse, tobacco consumption, traffic accidents and suicide. In the doctoral research project of Sylvie Gadeyne, Poisson regressions confirm the internationally observed patterns with clear differences in all-cause and cause-specific mortality rates according to several dimensions of socio-economic position at all age intervals, from young age (15-29) to old age (75 and over). A decomposition of inequalities in cause-specific contributions shows that traffic accidents have the largest contribution to mortality differentials at young age, neoplasms at adult age and cardiovascular diseases and respiratory diseases at older age. Relative inequalities are significant for practically all cause groups. The patterns of course differ by age group and by socio-economic dimension. All these research results open pathways for interpretation of how social gradients in health are shaped for men and women in the different stages of life. Inequalities are not limited to the most deprived classes having the highest mortality risks, but consist of a clear gradient. The patterns suggest that health policies should focus on different dimensions of socio-economic position (education, housing, employment, profession) and that not only the most marginalised or the most deprived population groups should be targeted, but also the intermediate middle classes. Specific subgroups have shown to be vulnerable for specific causes of death, another factor which should be taken into consideration in health policies. http://www.vub.ac.be/SOCO/demo/proje...lmortality.htm Als je dit even bestudeerd kom je waarschijnlijk tot andere conclusies als onze paradepaardjes De Gucht en N-VA.