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Longitudinal Study of Aging Danish Twins (LSADT)
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Sample details

The LSADT aimed to understand the causes of variations in survival, health, diseases, ability loss and cognitive functions among the elderly and the oldest-old. Participants were twins aged 70 years and older, recruited from registries in Denmark. In total, 4,700 individual twins, including more than 1,000 twin pairs, completed the baseline assessments, beginning in 1995. Assessments were conducted every 2 years until 2007, and new participants were added in 1997, 1999, and 2001. Participants were also followed up passively with linked healthcare and mortality data.

Study design
Cohort - twin, Cohort

Number of participants at first data collection

4,731 (participants)

Age at first data collection

≥ 70 years (participants)

Participant year of birth

1890 - 1930 (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Dizygotic and monozygotic twins
Older and elderly people
Dataset details

Country

Denmark

Year of first data collection

1995

Primary Institutions

Duke University

Links

cpha.duke.edu/research/longitudinal-study-aging-danish-twins

icpsr.umich.edu/web/NACDA/studies/21041

reporter.nih.gov/project-details/6098218

sdu.dk/en/forskning/dtr/researcher/data/lsadt_data

doi.org/10.1177/089826439901100103

sdu.dk/en/forskning/dtr/researcher/data

Funders

Danish National Research Foundation (DNRF)

National Institute on Aging (NIA)

National Institutes of Health (NIH)

United States Department of Health and Human Services

University of Southern Denmark

Ongoing?
No

Data types collected

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
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Cardiometabolic risk
    Cognition
    Elderly
    Morbidity and mortality
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