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Japan Multi-Institutional Collaborative Cohort Study (J-MICC)
Japan Multi-Institutional Collaborative Cohort Study logo
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Sample details

The J-MICC study is a population-based cohort following over 90,000 participants living across multiple regions in Japan. The study aimed to recruit individuals aged 35 to 69 years, however participants outside of this age range were recruited at several study sites. Participants were either inhabitants in communities, health check-up examinees, first-visit patients to cancer hospitals, or employees of companies or local governments, with study sites utilising different recruitment strategies.

Study design
Cohort

Number of participants at first data collection

92,610 (participants)

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Multi-site
Population-based sample
Dataset details

Country

Japan

Year of first data collection

2004

Primary Institutions

Aichi Cancer Center (愛知県がんセンタ)

Aichi Medical University (愛知医科大学)

Chiba Cancer Center (千葉県がんセンタ)

Kagoshima University (鹿児島大学)

Kanagawa Cancer Center (神奈川県立がんセンタ)

Links

jmicc.com/

Funders

Japan Agency for Medical Research and Development (AMED)

Ministry of Education, Culture, Sports, Science and Technology (MEXT/Monbusho)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-completed questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • Community engagement
  • Keywords

    Biological samples/biospecimens
    Cancer
    Cardiovascular health and disease
    Gene-environment interactions (GxE)
    Genomics
    Lifestyle factors
    Morbidity and mortality
    Multi-site
    Population-based
    Risk factors
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