Background: The inverse association between mortality and individual socioeconomic status is well-documented. Due to the lack of appropriate data, little is known about the nature of this association among individuals with long-term care (LTC) needs. Objectives: We aim to fill in this knowledge gap by estimating life expectancy (LE), life expectancy without (CFLE) and with (CLE) long-term care by education for older German men; and by assessing the trends in the education-LE/CFLE/CLE gradient over time. Data and methods: We apply survival analysis and Gompertz regression to German Socioeconomic Panel data (1997–2012) to estimate the mortality levels and to construct the life tables for three educational categories. Using the administr...
As life expectancy at birth in the United States approaches eighty years of age, educational differe...
This issue offers a summary of available research results on differences in mortality and life expec...
STUDY OBJECTIVE: Switzerland belongs to the group of nations with the highest life expectancy. Howev...
BackgroundThe inverse association between mortality and individual socioeconomic status is well-docu...
Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that ca...
"Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that c...
Background Although socioeconomic mortality differences in Germany are well documented, trends in gr...
Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that ca...
Background: Socioeconomic differences in old-age mortality have not been studied in Germany. This st...
We estimate remaining life expectancy at age 65 using a very large sample of male German pensioners....
Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that c...
We estimate remaining life expectancy at age 65 using a very large sample of male German pensioners....
We estimate remaining life expectancy at age 65 using a very large sample of male German pensioners....
Social differences in mortality and life expectancy are a clear demonstration of the social and heal...
As life expectancy at birth in the United States approaches eighty years of age, educational differe...
This issue offers a summary of available research results on differences in mortality and life expec...
STUDY OBJECTIVE: Switzerland belongs to the group of nations with the highest life expectancy. Howev...
BackgroundThe inverse association between mortality and individual socioeconomic status is well-docu...
Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that ca...
"Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that c...
Background Although socioeconomic mortality differences in Germany are well documented, trends in gr...
Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that ca...
Background: Socioeconomic differences in old-age mortality have not been studied in Germany. This st...
We estimate remaining life expectancy at age 65 using a very large sample of male German pensioners....
Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that c...
We estimate remaining life expectancy at age 65 using a very large sample of male German pensioners....
We estimate remaining life expectancy at age 65 using a very large sample of male German pensioners....
Social differences in mortality and life expectancy are a clear demonstration of the social and heal...
As life expectancy at birth in the United States approaches eighty years of age, educational differe...
This issue offers a summary of available research results on differences in mortality and life expec...
STUDY OBJECTIVE: Switzerland belongs to the group of nations with the highest life expectancy. Howev...