Date of filling in this questionnaire or last update: 08/12/2020
1. IDENTIFICATION & BASIC DESCRIPTION
Cohort name
  The multi-generation Respiratory Health in Northern Europe, Spain and Australia (RHINESSA) cohort
Country
 

  • Australia
  • Denmark
  • Estonia
  • Iceland
  • Norway
  • Spain
  • Sweden

Name
  Cecile Svanes
Institution
  Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
Email
  cecilie.svanes@helse-bergen.no
Phone
  +47 55 58 83 72
Personal website
  https://www.uib.no/en/persons/Cecilie.Svanes
Do you want to add another Principal Investigator of the Cohort
 

  • Add another Principal Investigator of the cohort

Name
  Vivi Schlünssen
Institution
  Department of Public Health, Aarhus University, Denmark
Email
  vs@ph.au.dk
Phone
  +45 28992499
Personal website
  http://au.dk/da/vs@ph
Website
 

  • https://helse-bergen.no/fag-og-forsking/forsking/rhinessa/rhinessa-english

Name of committee
  Names of the involved Ethical Committees can be found here: https://helse-bergen.no/seksjon/RHINESSA/Documents/Overview%20of%20ethics%20committees%20and%20approval%20numbers%20of%20RHINESSA%20centers.pdf
Upload files
 

Or provide website
 

  • https://helse-bergen.no/fag-og-forsking/forsking/rhinessa/rhinessa-english

Contact Principal Investigator (name)
  Cecilie Svanes or Vivi Schlünssen
Data access policy (briefly describe)
  Requests for collaboration with RHINESSA and access to data can be made to the RHINESSA steering committee by PI Cecilie Svanes (cecilie.svanes@uib.no) or vice PI Vivi Schlünssen (vs@ph.au.dk). Further information and additional study results can be found at www.rhinessa.net.
Is this cohort part of a consortium? (name consortium)
  The RHINESSA cohort is a 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
  RHINESSA is an international research project that studies allergies and lung health across generations. The RHINESSA study was set up to investigate the influence of exposures before conception and in previous generations on health and disease, to identify potentially susceptible time windows operating before and after conception, and to explore mechanisms for exposure effects across generations . RHINESSA focuses mainly on asthma, eczema, allergies, chronic obstructive pulmonary disease (COPD), lung function and sleep disorders, but the cohort resource and research methodologies of RHINESSA can also be utilised for multi-generation research in other important public health areas, such as women’s health and overweight.
Study design (please select as many as appropriate)
 

  • Prospective cohort
  • Retrospective cohort

Source population (please select as many as appropriate)
 

  • General population: International
  • General population: Regional
  • Generation (parents-children) study

Comparators (please select as many as appropriate)
 

  • Internal study population

Enrollment
  Completed
Age range at entry (main cohort)
 

Minimum Maximum Mean
18 50 30

Men at enrollment
  3720
Women at enrollment
  5094
Children (<18 years) at enrollment
  0
Comments
  Follow-up of the offspring population are planned. Follow-up of the parents 2 times: around 2000 and around 2010. A third follow-up planned in 2021
2. OUTCOME FOLLOW-UP
Type of data for outcome follow-up (please select as many as appropriate)
 

  • Active (contact with participants)
  • Use of registers (specify)

Active (contact with participants) (specify)
 

  • Questionnaire data - for a sub group clinical data and biological material

Specify: Use of registers
 

  • For the nordic Countries access to health data (diagnosis and medication) from national registers

Comments
  Follow-up of offsprings are planned. The parent population have two follow-ups around 2000 and around 2010. A third follow-up is planned 2021
3. OCCUPATIONAL EXPOSURES
Source of exposure data collected (please select as many as appropriate)
 

  • Questionnaire, Personal (Self-reporting or interview)
  • Questionnaire, Personal (Occupational/industry modules)
  • Job-employment records
  • Job calendar

Occupational history/time frame
  Lifetime
Occupational coding performed
  Yes
Occupation (specify coding system used)
 

  • ISCO88

Methods for exposure assessment (please select as many as appropriate)
 

  • Expert assessment
  • Job Exposure Matrix
  • Self-report

 

  • ALOHA+ JEM

 

  • Asthma JEM

Please insert reference/further information
  Le Moual N, Zock JP, Dumas O, Lytras T, Andersson E, Lillienberg L, Schlünssen V, Benke G, Kromhout H. Update of an occupational asthma-specific job exposure matrix to assess exposure to 30 specific agents. Occup Environ Med. 2018 Jul;75(7):507-514.
 

  • DOM-JEM

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)
  • Questionnaire, individual (self-recording or interview)

Specify: Clinical/functional evaluation, e.g. spirometry, ECGs
  For a subgroup Spirometry, bioimpedance
Specify: Biomarker
  IgE
Follow-up - type of outcome data collected (select more than one if applicable)
 

  • Biomarker (specify)
  • Questionnaire, individual (self-recording or interview)

Specify: Biomarker
  IgE
Outcome type (please select as many as appropriate)
 

  • Morbidity
  • Disability

Diagnostic groups based on ICD10
 

  • E Malnutrition and obesity
  • J Respiratory disease

E Malnutrition and obesity
 

  • Obesity

J Respiratory disease
 

  • Acute bronchitis
  • Vasomotor and allergic rhinitis
  • Chronic rhinitis, nasopharyngitis and pharyngitis
  • Chronic sinusitis
  • Chronic Bronchitis
  • Chronic obstructive pulmonary disease (COPD)
  • Asthma

Other health related outcomes
 

  • Lifestyle change
  • Sleep

5. BIOLOGICAL SAMPLES & ANALYSIS
Biological samples collected
 

  • Blood
  • Urine

Genetic and other lab analyses
 

  • Biomarkers (specify)

Specify: Biomarkers
  IgE
6. Other Information
 

  • Anthropometry
  • Demographics
  • Diet
  • Education
  • Medical history
  • Physical exercise
  • Residential 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

Please describe plans that are funded or most likely to be funded
  Follow-up of parents in 2021 is partly funded

Applications for follow-up of the offspring generation are pending