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Kunshan Aging Research with E-health (KARE)
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Sample details

KARE is a population-based cohort designed to investigate chronic diseases among elderly people in Kunshan City, China. In 2019, the study began recruiting, and as of 2025, nearly 136,000 participants aged ≥60 years old had been recruited through inviting those attending annual health check-ups. Participants are all followed up annually, with those with established common chronic diseases followed up quarterly. As well as retrospectively analysing electronic healthcare and medical records from 2014 onwards.

Study design
Cohort

Number of participants at first data collection

135,787 (participants, as of 2025)

Recruitment is ongoing

Age at first data collection

≥ 60 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Community-based sample
Older and elderly people
Dataset details

Country

China

Year of first data collection

2019

Primary Institutions

Guangzhou Medical University (广州医科大学, GZHMU) (Academic, China)

Guangzhou National Laboratory (Research, China)

Links

doi.org/10.1186/s12890-025-04098-7

doi.org/10.1016/j.ypmed.2025.108439

Profile paper DOI

doi.org/10.1093/ije/dyaf041

Funders

Major Project of Guangzhou National Laboratory (Research, China)

National Key Research and Development Program of China (NKRDP, 国家重点研发计划) (Government, China)

Scientific research project of Jiangsu Provincial Health Commission (Research, China)

Suzhou City Major Disease Multicentre Clinical Research Project (Research, China)

Suzhou Key Clinical Disease Diagnosis and Treatment Technology of Special Project (Research, China)

Ongoing?
Yes

Data types collected

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
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Chronic illness
    Community-based
    Disease progression
    Elderly
    Electronic health records
    Genomics
    Medical records
    Physical health assessments
    Prospective
    Retrospective
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