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Date of filling in this questionnaire or last update: 21/12/2025
1. IDENTIFICATION & BASIC DESCRIPTION
Cohort name
  The SUS study
Country
 

  • Denmark
Name
  Vivi Schlünssen
Institution
  Aarhus University
Email
  vs@ph.au.dk
Phone
  +45 28992499
Personal website
  http://au.dk/da/vs@ph
Do you want to add another Principal Investigator of the Cohort
 

  • Add another Principal Investigator of the cohort
Name
  Torben Sigsgaard
Institution
  Aarhus University
Email
  ts@ph.au.dk
Personal website
  ts@ph.au.dk
Name of committee
  The ethics committee of Aarhus County (AA-20070074)
Upload files
 

Contact Principal Investigator (name)
  Vivi Schlünssen or Torben Sigsgaard
Is this cohort part of a consortium? (name consortium)
  The European Occupational Exposome and Health Cohort Consortium
Participation in pooled analyses
 

  • The cohort is potentially interested in participating in pooled analyses of (European) occupational cohort studies (note pooled analyses also includes remote decentralized analyses that would not require any transfer of primary data as well as meta-analyses).
Main aim of cohort, please briefly describe the main objectives of the cohort
  The main aim of the cohort is to investigate respiratory health effect including allergy of farm dust exposure. A second aim is to identify determinants for farm dust exposure
Study design (please select as many as appropriate)
 

  • Prospective cohort
Source population (please select as many as appropriate)
 

  • Industry / occupation-based
Comparators (please select as many as appropriate)
 

  • Internal study population
  • External comparison of workers with other exposure
Inclusion criteria
  Farming students identified during their second stay at the farming schools in Denmark during the period February 1992 to February 1994.
Enrollment
  Completed
Age range at entry (main cohort)
 

Minimum Maximum Mean
19 17 49

Men at enrollment
  1,734
Women at enrollment
  232
Men at last follow-up
  1,038
Women at last follow-up
  96
Participation rate at enrollment (if known)
  79
2. OUTCOME FOLLOW-UP
Type of data for outcome follow-up (please select as many as appropriate)
 

  • Active (contact with participants)
  • Other (specify)
Active (contact with participants) (specify)
 

  • Clinical examination (spirometry, BHR, skin prick test, NAL, exhaled breath condensate, blood sample)
First follow-up period (provide year)
  1995
Last follow-up period (provide year)
  2008
Number of follow-ups after baseline (provide number)
  5
Participation at last follow-up (if known)
  52
Comments
  A yearly follow-up with questionnaires (index, parents) the first 4 years, a clinical examination of cases and a control group (Omland et al JACI 2011) after 15 years a full follow-up with clinical investigation
3. OCCUPATIONAL EXPOSURES
Source of exposure data collected (please select as many as appropriate)
 

  • Questionnaire, Personal (Occupational/industry modules)
  • Industry-based questionnaire
  • Job-employment records
  • Environmental samples
Occupational history/time frame
  Lifetime
Occupational coding performed
  Yes
Industry (specify coding system used)
 

  • NACE rev2
Types of exposure measurements
 

  • Personal external sampling
  • Workplace sampling
Methods for exposure assessment (please select as many as appropriate)
 

  • Job Exposure Matrix
  • Measurements (external sampling, biomarkers)
 

  • Other
Specify: Job Exposure Matrix / Other
  Internal JEM based on measurements, type of farming and duration of work (Bolund ACS, et al. Occup Environ Med 2015;72:707–713)
Main categories
 

  • Dusts and fibres
  • Biological factors
Dusts and fibres | Organic dusts
 

  • Organic dusts (not specified)
Dusts and fibres | Other
 

  • Other
Dusts and fibres | Other | Specify: Other
  endotoxin
Biological factors | Bacteria
 

  • Other (specify)
Biological factors | Bacteria | Specify: Other
  Arche bacteria. Microbiome in bedrooms and stables (Vestergaard et at Front Microbiol. 2018 May 1;9:870. doi: 10.3389/fmicb.2018.00870
4. OUTCOMES EVALUATED
Baseline - type of outcome data collected (select more than one if applicable)
 

  • Biomarker (specify)
  • Clinical/functional evaluation, e.g. spirometry, ECGs (specify)
Specify: Clinical/functional evaluation, e.g. spirometry, ECGs
  Spirometry, BHR, skin prick test, PEF
Specify: Biomarker
  Specific IgE common allergens and farming allergens
Follow-up - type of outcome data collected (select more than one if applicable)
 

  • Biomarker (specify)
Specify: Biomarker
  Specific IgE common allergens and farming allergens
Outcome type (please select as many as appropriate)
 

  • Morbidity
Diagnostic groups based on ICD10
 

  • J Respiratory disease
  • L Skin, nail and hair disorders
  • S Injuries
J Respiratory disease
 

  • Vasomotor and allergic rhinitis
  • Chronic rhinitis, nasopharyngitis and pharyngitis
  • Chronic sinusitis
  • Chronic Bronchitis
  • Chronic obstructive pulmonary disease (COPD)
  • Asthma
  • Hypersensitivity pneumonitis due to organic dust
L Skin, nail and hair disorders
 

  • Atopic dermatitis
  • Allergic contact dermatitis
  • Irritant contact dermatitis
S Injuries
 

  • Injuries to the head
  • Injuries to the thorax
  • Injuries to the abdomen, lower back, lumbar spine and pelvis
  • Injuries to the shoulder, arm and fingers
  • Injuries to the hip and thigh
  • Injuries to the knee and lower leg, ankle and foot
  • Other, please state
S Injuries | Other (specify)
  Self-reprted injuries the first five yesr after baseline
Other health related outcomes
 

  • Biomarkers
Comments
  Spefific igE for common inhalant allergens and farming allergens (moulds, storage mites, cow, pig) (Elholm G, et al. Occup Environ Med 2018;75:139–147)
5. BIOLOGICAL SAMPLES & ANALYSIS
Biological samples collected
 

  • Blood
  • Other
Specify: Other
  Nasal lavage, exhaled breath condensate
Biological processing
 

  • DNA
Genetic and other lab analyses
 

  • Genomics / GWAS
Comments
  DNA and GWSA on a subsample as participant in the GABRIEL: (Moffatt et al NEJM. 2010;363:1211-21).
6. Other Information
 

  • Anthropometry
  • Demographics
  • Education
  • Medical history
  • Socioeconomic status
  • Smoking
Possibility for linkage to data registries/data enrichment via data linkage
 

  • Birth register
  • Cancer incidence
  • Disease specific clinical database
  • Employment status
  • Hospital discharge
  • Medication usage
  • Migration
  • Mortality register
  • Other (specify)
Specify: Other
  Environmental exposure, e.g. air pollution and drinking water quality
Please describe plans that are funded or most likely to be funded
  No current plans
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