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PRECISE-SG100K
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Sample details

PRECISE-SG100K is a comprehensive population study focusing on the health and well-being of around 100,000 Singaporean residents aged over 21 years, representing three major ethnic groups in Singapore, including Chinese, Malay and Indian ethnicities. The SG100K cohort was established in 2022 by drawing participants from four existing prospective cohorts (HELIOS, SPHS, SEED and SingHeart) and recruiting around 30,000 new participants. Participants completed comprehensive baseline assessments between 2022 and 2025, and their long-term health outcomes are being monitored through linkage with electronic medical records, disease registers and invitations for further follow-up.

Study design
Cohort, Cohort - research programme

Number of participants at first data collection

100,000 (participants)

Age at first data collection

21 - 84 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The broader Singapore population.

Sample features

Adults
Ethnically diverse populations
Older and elderly people
Population-based sample
Dataset details

Country

Singapore

Year of first data collection

2022

Primary Institutions

A*STAR Genome Institute of Singapore (A*STAR GIS)

Nanyang Technological University (NTU)

National University of Singapore (NUS)

Precision Health Research, Singapore (PRECISE)

Singapore Eye Research Institute (SERI)

Links

npm.sg/partners/precise-sg100k/

npm.sg/overview/

file.for.sg/sg100k-cfp.pdf

Funders

National Research Foundation (NRF)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – unspecified
  • Wearable devices
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Existing research data
  • Healthcare data
Features

Engagement

  • Patients, service users, lived experience involvement
  • Participant or community advisory groups
  • Keywords

    Biological samples/biospecimens
    Biophysical measurements
    Diet and nutrition
    Electronic health records
    Genetics
    Genomics
    Health and wellbeing
    Lifestyle factors
    Optometric examinations
    Physical health assessments

    Consortia and dataset groups

    PRECISE-SG100K
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