EPHOR participating cohorts

The multi-generation Respiratory Health in Northern Europe, Spain and Australia (RHINESSA) cohort

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Date of filling in this questionnaire or last update: 22/12/2025

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   Pape-et-al-occupation-and-asthma-in-generations.pdf Kuiper-et-al-2020-air-pollution-asthma-in-generations.pdf 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 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   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   3,720 Women at enrollment   5,094 Children (<18 years) at enrollment   1,139 Participation rate at enrollment (if known)   35 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 First follow-up period (provide year)   2012 Last follow-up period (provide year)   2025 Number of follow-ups after baseline (provide number)   3 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) Clinical/functional evaluation, e.g. spirometry, ECGs (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 Work participation 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 Environmental, air pollution Environmental other (specify) 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

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