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Melbourne Collaborative Cohort Study (MCCS)
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Sample details

The MCCS, also known as Health 2020, was planned in the late 1980s and established in the early 1990s as an omnibus cohort to prospectively investigate the roles of diet and lifestyle in causing cancer and other noncommunicable diseases. Between 1990 and 1994, over 41,500 residents of the Melbourne metropolitan area in Australia (24,469 women and 17,044 men) were recruited. The average age of participants at baseline was 55 years, with a range of 27 to 76 years, with 99% aged between 40 and 69 years. All participants were of White European origin; most (69%) were born in Australia or New Zealand, 13% were born in Italy, 11% in Greece, and 6% in the United Kingdom.

Study design
Cohort

Number of participants at first data collection

41,513 (participants)

Age at first data collection

27 - 76 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Dataset details

Country

Australia

Year of first data collection

1994

Primary Institutions

Cancer Council Victoria

University of Melbourne

Links

cancervic.org.au/research/epidemiology/health_2020/health2020-overview

exposome-explorer.iarc.fr/cohorts/27

cabidigitallibrary.org/doi/full/10.5555/20033111372

Profile paper DOI

doi.org/10.1093/ije/dyx085

Funders

Cancer Council Victoria

National Health and Medical Research Council (NHMRC)

Victorian Breast Cancer Research Consortium (VBCRC)

Victorian Health Promotion Foundation (VicHealth)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Healthcare data
  • Medical birth registry
  • Mortality data
  • Other government data
Features

Engagement

  • Community engagement
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Breast cancer
    Cancer
    Diet and nutrition
    Gastrointestinal cancer (e.g. bowel, colon, gastric cancer etc.)
    Genetics
    Lifestyle factors
    Prostate cancer
    Risk factors
    Sub-studies
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