GSB 7.1 Standardlösung

Use of cookies

Cookies help us to provide our services. By using our website you agree that we can use cookies. Read more about our Privacy Policy and visit the following link: Privacy Policy

OK

Cholesterol target

Dyslipidemia is one of the most important risk factors for the development of vascular damage in people with type 2 diabetes. For primary and secondary prevention of cardiovascular diseases, blood lipid levels should therefore be checked, especially in people with type 2 diabetes (NVL 2023, Mach et al. 2019).

Key messages

  • Only a third of 45-79-year-old people with type 2 diabetes reaches the target for Non-HDL-Cholesterol.
  • Notably less women reach the Non-HDL-Cholesterol target compared to men.
  • Over time, there has been an improvement in the attainment of the Non-HDL-cholesterol target among people with type 2 diabetes.

Javascript is needed for the visualitsation of indicators. Please activate Javascript in your browser.

trend

Indikatoren_ScreenreaderHinweis_Datentabelle

cross-section

By state

Indikatoren_ScreenreaderHinweis_Datentabelle

  • By gender

    Indikatoren_ScreenreaderHinweis_Datentabelle

  • By age

    Indikatoren_ScreenreaderHinweis_Datentabelle

  • By education group

    Indikatoren_ScreenreaderHinweis_Datentabelle

Results

In 2010, 33.0% of the 45- to 79-year-old people with known type 2 diabetes achieve the target of Non-HDL-Cholesterol of < 130 mg/dl. Men (40.3%) reach the target for Non-HDL-Cholesterol more frequently compared to women (24.7%). No differences are shown for age, education and region. While in 1998 7.7% of people with type 2 diabetes aged 45-79 years reach the Non-HDL-Cholesterol therapy goal, this proportion is a significantly higher in 2010 (33.0%).

Conclusion

In 2010, only a third of the 45-79-year-olds with type 2 diabetes meets the cholesterol target for Non-HDL-Cholesterol. Notably less women than men achieve the cholesterol target, which could be due to the fact that women use less statins than men (Du et al., 2019). However, between 1998 and 2010, a significant improvement in cholesterol target attainment was observed (Du et al., 2015). Nevertheless, the cholesterol target still falls short of the guideline-based recommendations.

Show more information on methodology and data sources

Definition

The cholesterol target indicator is defined as the proportion of people with type 2 diabetes with target non-HDL-Cholesterol < 130 mg/dl.

Operationalisation

The indicator is based on measured values of total cholesterol and HDL-Cholesterol from blood samples.

Reference population

Resident population in Germany with known type 2 diabetes, aged 45 to 79 years.

Data source

Nationwide RKI interview and examination surveys 1997-1999 (GNHIES98) and 2008-2011 (DEGS1) based on a population registry sample and self-completed questionnaire, medical interview, automated medicine registration and examination.

Number of cases

  • GNHIES98: n = 7,124
  • DEGS1: n = 7,115 (of which n = 2,923 had also participated in GNHIES98)

For the indicator Cholesterol target, data from the 45-to-79 age group with known type 2 diabetes are evaluated:

  • GNHIES98: n = 333
  • DEGS1: n = 526

People with type 1 diabetes were excluded.

Calculation

  • Description: For the indicator, the figures for total, women and men are provided and are stratified by age group, residential area and education as far as the number of cases available for the figure is ≥ 5 and the statistical uncertainty in the estimate of the indicator is not considered too large (a coefficient variation ≤ 33.5%).
  • Stratification: The geographical classification of the residence of the participating person was carried out by east and west (east = former East Germany, including all of Berlin; west = former West Germany, not including West Berlin). Educational status was determined using the CASMIN index, which takes information on both school and vocational training into account and allows a categorisation into a low, medium and high education group.
  • Weighting: In order to correct for deviations from the underlying reference population due to different participation rates or sampling probabilities, weighting factors were used when calculating the indicator. These adjust the surveys to the population structure of the reference population with regard to sex, age, federal state, German citizenship (yes / no), community type and education as of 31 December 1997 (GNHIES98) and 31 December 2010 (DEGS1). In DEGS1, the different participation probability of re-participants from GNHIES98 was also taken into account in the weighting.
  • Age standardization: Age standardization and trend weighting was carried out by calculating the weighting factor in GNHIES98 using the age, sex and federal state structure of the reference population as of 31 December 2010.

Data quality

RKI interview and examination surveys provide representative results for the 18- to 79-year-old resident population of Germany. The population aged 80 years and over will only be included in future survey waves. As is the case in all population-based studies, underrepresentation of the seriously ill and those living in institutions must be assumed.