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Leiden Longevity Study (LLS)
Leiden Longevity Study logo
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Sample details

The aim of the LLS is to uncover genetically determined mechanisms of longevity and to investigate their interaction with the environment. Baseline data collection and recruitment took place from 2002 to 2006 when 420 families including over 940 siblings aged at least 89 years old were recruited via municipal registries in the Netherlands. During the same period, around 1,700 offspring of these participants were also recruited, along with around 740 of their partners. Participants have been followed up several times over the following years, including mortality and active follow up visits for some sub-cohorts. The most recent follow up of the offspring cohort took place from 2021 to 2023.

Study design
Cohort, Cohort - intergenerational

Number of participants at first data collection

944 (long-lived siblings)

1,671 (offspring cohort)

744 (partners of offspring cohort)

Age at first data collection

≥ 89 years (long-lived siblings)

Varied (offspring cohort)

Varied (partners of offspring cohort)

Participant year of birth

Varied (long-lived siblings)

Varied (offspring cohort)

Varied (partners of offspring cohort)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Family members
Offspring
Older and elderly people
Partner dyad
Dataset details

Country

Netherlands

Year of first data collection

2002

Primary Institutions

Leiden University (Universiteit Leiden, LEI)

Leiden University Medical Center (Leids Universitair Medisch Centrum, LUMC)

Links

leidenlangleven.nl/

leidenlangleven.nl/lls-follow-up-studie/

Funders

Centre for Medical Systems Biology (CMSB)

Dutch Research Council (NWO, Nederlandse Organisatie voor Wetenschappelijk Onderzoek)

European Union (EU)

Government of the Netherlands (Rijksoverheid)

Netherlands Genomics Initiative (NGI)

Ongoing?
Yes

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
  • Census data
  • Healthcare data
  • Mortality data
  • Other government data
Features

Engagement

  • Community engagement
  • Keywords

    Ageing
    Biological samples/biospecimens
    Cardiometabolic risk
    Cognition
    Cognitive ageing and decline
    Gene-environment interactions (GxE)
    Genetics
    Longevity
    Metabolism
    Morbidity and mortality
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