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Singapore Epidemiology of Eye Diseases Study (SEED)
Singapore Epidemiology of Eye Diseases Study logo
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Sample details

The SEED study is a multi-ethnic longitudinal population-based study that evaluates the incidence, prevalence, risk factors, and novel biomarkers of age-related eye diseases for Singaporean adults of Malay, Indian, and Chinese descent. The SEED cohort is based on an age-stratified random sampling strategy of individuals above the age of 40 years from 15 residential districts in the South-Western part of Singapore. A total of just over 10,000 Singaporean adults participated in the baseline SEED examination. The mean age of all baseline participants was 58.9 years, and had almost equal distributions of participants between all three ethnic groups (3,280 Malays, 3,400 Indians, and 3,353 Chinese). There has been a 6-year follow-up (SEED-2) and a 12-year follow-up (SEED-3).

Study design
Cohort

Number of participants at first data collection

10,033 (participants)

Age at first data collection

≥ 40 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The Singapore population in terms of age, housing, and socio-economic status.

Sample features

Adults
Ethnically diverse populations
Dataset details

Country

Singapore

Year of first data collection

2004

Primary Institutions

Singapore Eye Research Institute (SERI)

Duke–NUS Medical School (Duke–NUS)

National University of Singapore (NUS)

Links

blog.nus.edu.sg/seed/

Profile paper DOI

doi.org/10.1093/ije/dyaa238

Funders

Agency for Science, Technology and Research (A*STAR)

National Medical Research Council (NMRC)

Ongoing?
Yes

Data types collected

mentalHealthData
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Cardiovascular health and disease
    Diabetes
    Epidemiology
    Ethnicity
    Eye health
    Hypertension
    Risk factors

    Consortia and dataset groups

    PRECISE-SG100K
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