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Iwate Kenpoku Cohort Study (Iwate-KENCO)
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Sample details

Iwate-KENCO investigates the prevalence and risk factors of cardiovascular disease in the adult population of Northeastern Japan. The study recruited participants from Ninohe City, Ichinohe Town, Karumai Town, Kunohe Village, Yamada Town, Miyako City, Iwaizumi Town, Tanohata Village, Kuji City, Fudai Village, Noda Village, and Hirono Town municipalities of Iwate prefecture in Northern Japan. Recruited participants were community-dwelling adults aged at least 18 years. At baseline, over 26,000 participants were included in the cohort, approximately 65% of whom were women. Over 94% of baseline participants were 40 years and older. Participants were followed up routinely using health insurance data until December 2014.

Study design
Cohort

Number of participants at first data collection

26,472 (participants)

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Rural populations
Dataset details

Country

Japan

Year of first data collection

2002

Primary Institutions

Research Institute for Environmental Sciences and Public Health of Iwate Prefecture (I-RIEP)

Fukushima Medical University (福島県立医科大学)

Iwate Health Service Association

Iwate Medical University (岩手医科大学)

Iwate University (岩手大学)

Links

doi.org/10.1186/s12877-020-01743-0

Funders

Iwate Medical University (岩手医科大学)

Japan Arteriosclerosis Prevention Fund

Japan Society for the Promotion of Science (JSPS)

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

Ministry of Health, Labor and Welfare (厚生労働省, MHLW)

Ongoing?
No

Data types collected

dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • 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
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Cardiovascular health and disease
    Diet and nutrition
    Lifestyle factors
    Physical health
    Risk factors
    Routine data
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