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Sydney Centenarian Study (SCS)
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Sample details

The SCS aims to shed light on the determinants of successful ageing, both environmental and genetic. Participants include residents of Sydney, Australia, aged 95 years and above. Participants are interviewed at baseline, 6 months, 12 months, 18 months, and at every subsequent 12-month interval. To date, 410 participants aged 95 and above are included and are from the East, Inner West, and Inner South of Sydney. Seventy-one percent of the participants are female, with the mean age at baseline being 97.4 years (age range at baseline was 95.02-106.3 years). Twenty-six percent of participants are from a non-English-speaking background; 39% of participants were living in aged care, with 60% of those in aged care living in high-care accommodation.

Study design
Cohort

Number of participants at first data collection

410 (participants)

Age at first data collection

≥ 95 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
Near-centenarians and centenarians in Australia.

Sample features

Older and elderly people
Dataset details

Country

Australia

Year of first data collection

2009

Primary Institutions

University of New South Wales (UNSW)

Links

cheba.unsw.edu.au/project/sydney-centenarian-study

portal.dementiasplatform.com.au/crs-directory/scs

portal.dementiasplatform.com.au/crs-directory/scs-r

Funders

National Health and Medical Research Council (NHMRC)

University of New South Wales (UNSW)

Ongoing?
No

Data types collected

neuroImagingData
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
Qualitative data collection
  • None
Neuroimaging data collection
  • Diffusion Tensor Imaging (DTI)
  • Functional magnetic resonance imaging (fMRI)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Existing research data
  • Healthcare data
  • Mortality data
Features

Engagement

  • Community engagement
  • Keywords

    Ageing
    Biological determinants
    Biological samples/biospecimens
    Environmental determinants
    Healthy ageing

    Consortia and dataset groups

    International Centenarian Consortium of Dementia (ICC-Dementia)
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