Study types
- cross-sectional studies (representative surveys) more ...
- case control study more ...
- identifying cases from surveys (diabetes, allergies, fractures -> also, e.g., cost of illness studies)
- identification of population-based controls
- family studies: identification of cases from survey and inclusion of their families (myocardial infarction, diabetes)
- cohort studies. more ...
Cross-sectional studies (representative surveys)
population-representative cross-sectional health survey of the resident population aged 25 – 74 with regard to
- trends and determinants of cardiovascular and metabolic diseases (epidemiology)
- stratifying risk factors, health care and health according to social status and social relations (social epidemiology)
- determinants and effects of health care and its utilization (health care research)
- costs of illness and health care (health economics and health care management)
Advantages of KORA controls:
- continuous accumulation of genetic and phenotypic data on the same individuals
- highly standardized sampling and sample handling
- focus on a standardized subset of controls for SNP analyses
KORA control subset:
| • | Survey 2000 – sub-sample for genetic analyses | |||||
| • | stratification according to age and sex (n = 1,000) | |||||
| 25 - 34 | 25 - 34 | 35 - 54 | 55 - 64 | 65 - 74 | ||
| men | 100 | 100 | 100 | 100 | 100 | |
| women | 100 | 100 | 100 | 100 | 100 | |
| • | additional inclusion of upper age groups | |||||
| 25 - 34 | 25 - 34 | 35 - 54 | 55 - 64 | 65 - 74 | ||
| - | - | - | + 300 | + 300 | ||
| - | - | - | + 300 | + 300 | ||
| • | altogether approx. 2200 KORA controls | |||||
Cohort studies:
- Follow-up of the MONICA/KORA surveys, multi-leveled
- by means of researching addresses of all participants (for deceased also cause of death)
- by means of a follow-up postal survey (GEFU1: 1998, GEFU2: 2002, GEFU3: 2008): multiple page questionnaire on chronic diseases
- in the framework of the follow-up Studies F3 and F4
- Outcomes:
- mortality
- morbidity (in particular myocardial infarct, diabetes)
- modification in baseline variables (amongst others risk factors)