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New England Centenarian Study (NECS)
New England Centenarian Study logo
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Sample details

The NECS investigates the factors contributing to exceptional longevity by examining centenarians and their families. Participants initially included 37 individuals aged 100 to 109 years from 8 towns in the Boston, Massachusetts area when the study began in 1995. The cohort has now assessed over 4,000 individuals, including supercentenarians aged over 110 years, alongside centenarian's offspring and siblings, and a control group of those with parents born in the same years as the centenarians. Within the cohort of centenarians, 85% of participants are women, and among supercentenarians, the female prevalence is 90%. Participants are followed up annually to track their health and ageing process.

Study design
Cohort - intergenerational, Cohort - open

Number of participants at first data collection

37 (participants)

Recruitment is ongoing

Age at first data collection

100 - 109 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Centenarians
Older and elderly people
Dataset details

Country

United States of America

Year of first data collection

1995

Primary Institutions

Boston University (BU)

Links

bumc.bu.edu/centenarian/

doi.org/10.3389/fgene.2012.00277

Funders

Alzheimer's Association

Alzheimer's Drug Discovery Foundation

American Federation for Aging Research (AFAR)

Boston University (BU)

Ellison Medical Foundation

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 – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – unspecified
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Healthcare data
  • Mortality data
  • Other government data
  • Social care data
Features

Engagement

  • Community engagement
  • Keywords

    Ageing
    Biological determinants
    Biological samples/biospecimens
    Biomarkers
    Biopsychosocial factors
    Brain bank
    Cognitive ageing and decline
    Disease prevalence
    Disease prevention
    Epigenetics
    Gene-environment interactions (GxE)
    Healthy ageing
    Intergenerational
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