Each participant completes a comprehensive personal interview during their examination visit. Trained staff conduct these interviews using a standardized script to collect data on socio-economic status, demographics, medical history, and medication use. This information provides essential context for interpreting physical and biological data.
General Health
- Allergies
- Example for generated data:
- Age at diagnosis
- Example for generated data:
Sociodemographics
- Socioeconomic status
- Examples for generated data:
- Family and household
- Employment and occupation
- Occupational classification
- Socio-economic indicators
- Education
- Language skills
- Income and resources
- Examples for generated data:
Use of Medical Services
- Medication recording
- Examples for generated data:
- Cardiovascular medication
- Neurological medication
- Diabetes treatment
- Lipid-lowering medication
- Examples for generated data:
- Surgeries
- Examples for generated data:
- Sterilization, hip/knee prothesis, breast surgery, removal of organs – with age at surgery
- Examples for generated data:
Digestive and Metabolic Diseases
- Gastrointestinal and liver diseases
- Examples for generated data:
- Gastric/duodenal ulcer, heartburn or reflux, Crohn’s disease, liver cirrhosis, gastritis, irritable bowel syndrome, sprue disease, fatty liver, pancreatitis, gallstones – with age of diagnosis
- Gastric/duodenal ulcer, heartburn or reflux, Crohn’s disease, liver cirrhosis, gastritis, irritable bowel syndrome, sprue disease, fatty liver, pancreatitis, gallstones – with age of diagnosis
- Examples for generated data:
- Kidney diseases
- Examples for generated data:
- Creatinine and cystatin C-based eGFR values
- Age of diagnosis
- Examples for generated data:
Cardiovascular and Metabolic Diseases
- Cardiovascular diseases
- Examples for generated data:
- Heart attack, angina pectoris, heart failure, arrhythmias, peripheral arterial disease, hypertension, thrombosis – with age at diagnosis
- Examples for generated data:
- Metabolic diseases
- Examples for generated data:
- Diabetes, dyslipidemia, gout/uric acid disorders, thyroid diseases – with age at diagnosis
- Diabetes treatment
- Examples for generated data:
- Relevant operations (derived data)
- Examples for generated data:
- Cardiovascular interventions
- Peripheral vascular interventions
- Thyroid/parathyroid surgery
- Examples for generated data:
Infectious Diseases
- Infectious diseases
- Examples for generated data:
- Tuberculosis, HIV, Hepatitis B/C – with age at diagnosis
- Examples for generated data:
- COVID-19
- Examples for generated data:
- Infection history
- Diagnostic tests
- Medical treatment
- Acute & Long COVID symptoms
- Vaccination history
- Psychosocial impact
- Examples for generated data:
Respiratory diseases
- Examples for generated data:
- COPD, bronchitis, asthma, pneumonia, fibrosis, sleep apnoea – with age of diagnosis
Neurological and Psychiatric Conditions
- Neurological diseases
- Examples for generated data:
- Strokes, seizure, Parkinson’s disease, epilepsy – with time since diagnosis
- Examples for generated data:
- Headaches
- Examples for generated data:
- Migraine, tension headache, unclassified headache – according HIS criteria
- Examples for generated data:
Musculoskeletal Disorders
- Examples for generated data:
- Osteoporosis, osteoarthritis of hip/knee/finger joints, carpal tunnel syndrome – with age of diagnosis
Cancer
- Examples for generated data:
- Age at cancer diagnosis
- Family history of colorectal cancer
Women’s Health
- Examples for generated data:
- Menstrual history
- Contraceptive use
- Hormone replacement therapy
- Gynecological diagnoses
- HPV vaccination
Rare Diseases
- Examples for generated data:
- Autoimmune diseases (e.g. Systemic lupus erythematosus, Sjögren’s syndrome, fibromyalgia)
- Neurological conditions (e.g. tinnitus, MS)
- Urological conditions (Stones in the kidney, ureter or bladder)
Senses (Vision & Hearing)
- Eye diseases
- Examples for generated data:
- Cataract, glaucoma, macular degeneration
- Examples for generated data:
Skin Diseases
- Examples for generated data:
- Atopic eczema, psoriasis – with age of diagnosis
