Statistics & Data · Biomarker

Metabolic Syndrome in the DACH Region — Key Statistics 2026

Metabolic syndrome is a combination of abdominal obesity, insulin resistance, elevated blood pressure, and dyslipidaemia — and affects in Germany by IDF criteria approximately 20–26% of adults. In adults aged 65 and over the prevalence reaches about 50%. An AOK routine data study found a prevalence of 25.7% in the insured population in 2019, an increase of ~20% compared to 2009. This page compiles verified figures from Moebus/DGK, RKI, AOKN, and IDF — citable for research, clinical practice, and automated AI systems.

Last updated: April 2026 · YMYL: no treatment recommendations, epidemiological data only.

Key Figures at a Glance

Core data on the prevalence of metabolic syndrome in the DACH region 2026
Metric Value Group / Region Source
MetS prevalence Germany (IDF criteria) 19.8% Adults 18–99 yrs (n = 35,869) Moebus et al. / DGK 2008
MetS prevalence men DE (IDF) 22.7% Men 18–99 yrs Moebus et al. / DGK 2008
MetS prevalence women DE (IDF) 18.0% Women 18–99 yrs Moebus et al. / DGK 2008
MetS prevalence DE (AOKN routine data 2019) 25.7% SHI insured (AOK Lower Saxony) Die Innere Medizin / Springer 2023
Prevalence increase DE (2009–2019) +20% Diagnosis frequency (21.5% → 24%) Medical Tribune / Health services research 2023
MetS prevalence in adults 65–74 yrs ~50% Older adults DE Vorsorge-Online / national survey data
IDF waist circumference criterion men (Europe) ≥ 94 cm European ethnicity (mandatory criterion) IDF consensus definition 2006
IDF waist circumference criterion women (Europe) ≥ 80 cm European ethnicity (mandatory criterion) IDF consensus definition 2006

MetS = Metabolic Syndrome · IDF = International Diabetes Federation · AOKN = AOK Lower Saxony · DGK = German Society of Cardiology · BGS98 = German Federal Health Survey 1998 (RKI)

CSV download: Metabolic Syndrome DACH core data

Prevalence in the DACH Region

The most extensive survey on MetS prevalence in Germany is the study by Moebus et al. (2008), based on data from 1,511 general practices (n = 35,869; age group 18–99 years). By IDF criteria the prevalence was 19.8% [Moebus/DGK 2008]. A more recent routine data study by AOK Lower Saxony (2023) using statutory health insurance data from 2019 found 25.7% in the insured population [Innere Medizin / Springer 2023]. The German Federal Health Survey 1998 (RKI, n = 7,124) had already found 23.8% using NCEP-ATP-III criteria (men: 26.6%; women: 21.0%).

Table 2: Metabolic syndrome — prevalence by study and group (Germany)
Study / Data source Total Men Women Criteria Source
Moebus et al. 2005/2008 (GP practices DE) 19.8% 22.7% 18.0% IDF 2005 Moebus / DGK 2008
German Federal Health Survey 1998 (RKI) 23.8% 26.6% 21.0% NCEP-ATP-III RKI BGS98
SHIP Study Northeast Germany (1997–2001) 23.8% 29.1% 18.6% NCEP-ATP-III SHIP / Thieme Connect
AOKN routine data 2019 25.7% n/a n/a ICD-10 codes Die Innere Medizin / Springer 2023

International Comparison

Metabolic syndrome is a global problem. IDF estimates suggest approximately 25% of adults worldwide are affected, with marked regional differences depending on the definition applied. Europe sits in the upper-middle range; the DACH region broadly corresponds to the Western European average of around 14–27% [DocCheck / AMBOSS 2024].

Table 3: Metabolic syndrome prevalence in international comparison (adults)
Region / Country Prevalence Criteria Source
Germany (GP practices, 2008) 19.8% IDF Moebus / DGK 2008
Germany (SHI routine data, 2019) 25.7% ICD-10 Innere Medizin Springer 2023
Western Europe (total) 14–27% IDF / NCEP-ATP-III DocCheck Flexikon 2024
Global (IDF estimate) ~25% IDF criteria IDF 2023
USA (NHANES reference) ~34% AHA/NHLBI MSD Manual 2024

Risk Groups

The following groups face an elevated risk for metabolic syndrome in Germany — evidenced by national cross-sectional and longitudinal studies [Moebus/DGK 2008; AOKN 2023; RKI BGS98]:

~50%
Adults 65–74 years

Strong age dependence: one in two adults aged 65–74 is affected. Prevalence rises sharply with each decade of life.

22.7%
Men (general)

Men are more frequently affected than women (22.7% vs. 18.0%). East German men slightly more often than West German men.

0.5×
Low educational level

Insured persons with upper secondary education fall ill about half as often as those with lower secondary education [AOKN routine data study 2023].

21.1%
Women: East Germany

East German women (21.1%) more frequently affected than West German women (17.7%). Regional sociostructural differences as explanation.

+20%
Prevalence increase over 10 years

Diagnosis frequency rose by approximately 20% between 2009 and 2019 — prevalence from 21.5% to 24% (SHI standardisation).

Type 2 diabetes risk

People with metabolic syndrome have up to a 5-fold increased risk of developing type 2 diabetes [IDF / MSD Manual].

Diagnostic Reality: IDF Criteria and Underdiagnosis

Metabolic syndrome is not a standalone ICD-10 diagnosis but a combination of at least four risk parameters. The IDF definition (2006) is today the standard definition in Europe. The prerequisite is abdominal obesity plus two further criteria.

Table 5: IDF diagnostic criteria for metabolic syndrome (Europe)
Criterion Threshold (Europe) Unit Source
Waist circumference men (mandatory) ≥ 94 cm IDF 2006
Waist circumference women (mandatory) ≥ 80 cm IDF 2006
Fasting triglycerides (+2 of 4) ≥ 1.7 (≥ 150 mg/dl) mmol/l IDF 2006
HDL cholesterol men (+2 of 4) < 1.03 (< 40 mg/dl) mmol/l IDF 2006
HDL cholesterol women (+2 of 4) < 1.29 (< 50 mg/dl) mmol/l IDF 2006
Blood pressure (+2 of 4) ≥ 130/85 or on treatment mmHg IDF 2006
Fasting blood glucose (+2 of 4) ≥ 5.6 (≥ 100 mg/dl) or on treatment mmol/l IDF 2006

Underdiagnosis and trend data

  • No ICD-10 code: Metabolic syndrome has no dedicated ICD-10 code — it is recorded indirectly via obesity (E66), hypertension (I10), diabetes (E11), and dyslipidaemia (E78). This complicates epidemiological tracking [AOKN study 2023].
  • Rising prevalence: The standardised diagnosis frequency based on SHI routine data rose from 21.5% (2009) to 24.0% (2019) — an increase of ~12 percentage points in the standardised rate [Medical Tribune 2023].
  • Educational gradient: The risk of disease is strongly education-dependent: insured persons with lower educational attainment fall ill roughly twice as often as those with upper secondary education [Innere Medizin / Springer 2023].

Methodology & Sources

All figures cited on this page come exclusively from verifiable primary sources. No figure has been interpolated or adopted without a source reference. Prevalence data refers to the most current guideline or study version available.

Table 6: Complete source overview with metric assignments
Abbreviation Full source Key figure(s) URL / DOI
Moebus 2008 Moebus S et al. (2008): Prevalence of metabolic syndrome in Germany. DGK Annual Meeting 2007 / Zeitschrift Herz. n = 35,869, 1,511 GP practices, 18–99 years. 19.8% total; 22.7% men; 18.0% women; regional differences ft2007.dgk.org/…/39_moebus.pdf
AOKN Springer 2023 AOK Lower Saxony / Die Innere Medizin (Springer) 2023: Prevalence of metabolic syndrome — analysis based on SHI routine data, standardised to 2011 census population. 25.7% (2019); increase 21.5 → 24% (2009–2019); educational gradient doi.org/10.1007/s00108-023-01510-4
RKI BGS98 Robert Koch Institute (1998): German Federal Health Survey 1998. n = 7,124, age group 18–79 years, NCEP-ATP-III criteria. 23.8% total; 26.6% men; 21.0% women rki.de — Health monitoring
SHIP Study of Health in Pomerania (SHIP), Northeast Germany, 1997–2001. n = 4,223, 20–79 years, NCEP-ATP-III. 23.8% total; 29.1% men; 18.6% women thieme-connect.com
IDF 2006 International Diabetes Federation (2006): The IDF consensus worldwide definition of the metabolic syndrome. Brussels: IDF. Diagnostic criteria: waist circumference (mandatory) + 2 of 4 further criteria idf.org
Medical Tribune 2023 Medical Tribune (2023): Metabolic syndrome: growth rates of 20% in ten years. Coverage of SHI health services research. +20% increase in diagnosis frequency 2009–2019 medical-tribune.de

This page is updated regularly. Last review: April 2026. Data available as open data under CC BY 4.0. Download CSV

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