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Transitions in Health, Employment, Social Engagement and Inter-Generational Transfers in Singapore Study (SIGNS Study)
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Sample details

The SIGNS study focuses on understanding successful ageing among older adults in Singapore. Participants are Singaporean citizens and permanent residents aged at least 60 years and residents in the community. The baseline data collection sweep, SIGNS I, included over 4,500 participants. As of 2024, the study is recruiting participants for the third sweep, SIGNS III. Follow-up assessments are conducted approximately every three years to track changes over time.

Study design
Cohort

Number of participants at first data collection

4,549 (participants)

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

Singapore

Year of first data collection

2016 (participants)

Primary Institutions

Duke University

Duke–NUS Medical School (Duke–NUS)

National University of Singapore (NUS)

Links

duke-nus.edu.sg/care/research/the-signs-study-iii-and-iv

duke-nus.edu.sg/docs/librariesprovider3/publications-docs/the-signs-study---ii-report-%28revised%29.pdf

Funders

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

Ministry of Health

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)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Demographics
    Geriatric health and disease
    Health and wellbeing
    Health behaviour
    Learning
    Physical health
    Quality of life
    Social functioning
    Work and employment

    Consortia and dataset groups

    Centre for Ageing Research & Education (CARE)
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