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Baltimore Longitudinal Study of Aging (BLSA)
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Sample details

As of April 2024, the BLSA is America's longest-running scientific study of human aging. It began in 1958 in Baltimore, Maryland, United States, with 260 male participants ranging in age from late teens to almost 100 years old. In 1978, the study extended to include females. In 2024, more than 1,300 male and female participants ranging in age from their twenties to 100s attend regular data collection visits. Participants under age 60 are assessed every 4 years; those aged 60 to 79 years come every 2 years, and participants aged 80 and older are assessed annually. Since its inception, over 3,200 participants have contributed to the research.

Study design
Cohort - open

Number of participants at first data collection

260 (participants)

Recruitment is ongoing

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Community-based sample
Middle-aged people
Older and elderly people
Young adults
Dataset details

Country

United States of America

Year of first data collection

1958

Primary Institutions

National Institute on Aging (NIA)

Links

blsa.nih.gov/

nia.nih.gov/research/labs/blsa

eric.ed.gov/

Profile paper DOI
Not available

Funders

National Institute on Aging (NIA)

National Institutes of Health (NIH)

Ongoing?
Yes

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)
  • Magnetic Resonance Imaging (MRI)
  • Positron Emission Tomography (PET)
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Ageing
    Anthropometry
    Biological samples/biospecimens
    Cognitive ageing and decline
    Genetics
    Healthy ageing
    Mental health
    Physical health
    Physiological age

    Consortia and dataset groups

    Global Alzheimer’s Association Interactive Network (GAAIN)
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