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Australian Longitudinal Study of Ageing (ALSA)
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Sample details

ALSA is a longitudinal study that collected multidisciplinary data from a cohort of around 2,000 older people in Adelaide, South Australia. The study began in 1992 with a sample of around 1,500 participants, their partners, and other household members, aged 65 years and above. Both community-dwelling and people living in residential care were randomly selected from the South Australian Electoral Roll. The primary sample was stratified by age groups (70-74, 75-79, 80-84, and 85 years or more), gender, and local government area. At baseline, the cohort was 49% female, and the average age was 78 years. Participants were followed up for 22 years with 13 waves of data collection.

Study design
Cohort

Number of participants at first data collection

1,477 (primary sample)

597 (partners)

13 (household members)

Age at first data collection

≥ 70 years (primary sample)

65 - 103 years (partners and household members)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Older and elderly people
Dataset details

Country

Australia

Year of first data collection

1992

Primary Institutions

Flinders University

Links

sites.flinders.edu.au/alsa/

maelstrom-research.org/study/alsa

Profile paper DOI

doi.org/10.1093/ije/dyu196

Funders

National Health and Medical Research Council (NHMRC)

Australian Research Council (ARC)

Enabling Confidence at Home (ECH Incorporated)

Government of Western Australia

National Institute on Aging (NIA)

Ongoing?
No

Data types collected

mentalHealthData
qualitativeData
dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • Interviews or focus groups
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Medical birth registry
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Ageing
    Anthropometry
    Cognitive ageing and decline
    Cognitive assessments
    Diet and nutrition
    Elderly
    Health and wellbeing
    Lifestyle
    Physical health assessments
    Social support

    Consortia and dataset groups

    Ageing Trajectories of Health – Longitudinal Opportunities and Synergies (ATHLOS)
    Dynamic Analyses to Optimize Ageing (DYNOPTA) project
    Health and Retirement Studies (HRS) / Gateway to Global Aging Data
    Integrative Analysis of Longitudinal Studies of Aging and Dementia (IALSA)
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