Original Articles

Treatment of elevated cholesterol in a representative cross-sectional sample of 4 892 Germans: is there a social gradient?


Background: effective control of cardiovascular risk factors remains low in most countries and also in Germany. We investigate whether socio-economic status has an impact on the level of medical treatment and control (normalized values) of total cholesterol.

Methods: data on blood lipids from 4 892 participants in the last German Health Survey of 1998 are analysed, adjusting for key determinants in logistic regression analyses. Socio-economic status is not determined by educational achievement alone but also including occupation and household income.

Results: the actual prevalence of total cholesterol of ≥240 mg/dl was 53.4%. Only 3.6% of prevalent cases are under effective treatment. Less favourable values of total cholesterol and HDL are displayed by males and in lower social groups, while the middle groups are in an intermediate position. Chances to be treated for hypercholesterolemia are significantly less favourable for females (odds ratio (OR) estimate: 0.70) and better for the age bands ≥50 (OR 2.37) and ≥60 (OR 3.57), if a general practitioner is visited (OR 1.77), and if living in Eastern Germany (OR 1.89). However, chances are not significantly different according to social status.

Conclusions: statistically significant social group differences cannot be detected at the present low level of effective treatment. This may be different if higher levels of control are achieved.

Full Text:


DOI: https://doi.org/10.2427/8944

NBN: http://nbn.depositolegale.it/urn%3Anbn%3Ait%3Aprex-11149


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM


  • There are currently no refbacks.

Copyright (c)

We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it (Read more).

EBPH Epidemiology, Biostatistics and Public Health | ISSN 2282-0930

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.