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Peking Union Medical College Hospital Birth Cohort (PUMCH Birth Cohort)
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Sample details

The PUMCH birth cohort aims to investigate the impact of various factors throughout the lifespan on mid- to late-life cognitive function and other health outcomes. Based in Beijing, China, the study originally contacted 11,694 individuals born in Peking Union Medical College Hospital between 1921 and 1924 through birth record abstraction, with 2,062 participants agreeing to participate in 2003. The cohort consists of individuals aged 50 to 82 years old, and examines the role of prenatal, early life factors, and adult factors in predicting various health and lifestyle outcomes.

Study design
Cohort

Number of participants at first data collection

2,062 (participants)

Age at first data collection

50 - 82 years (participants)

Participant year of birth

1921 - 1954 (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Middle-aged people
Older and elderly people
Dataset details

Country

China

Year of first data collection

2003

Primary Institutions

Peking Union Medical College Hospital (PUMCH) (北京协和医院)

Links

link.springer.com/article/10.1007/s12062-011-9035-7

Funders

Chinese Medical Board of New York

Chinese National Science and Technology Project

National Institute on Aging (NIA)

Ongoing?
No

Data types collected

neuroImagingData
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
  • Self-report questionnaire – unspecified
Qualitative data collection
  • None
Neuroimaging data collection
  • Computerized tomography (CT)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Healthcare data
  • Medical birth registry
Features

Engagement

  • None
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Cardiovascular health and disease
    Chronic illness
    Cognitive ageing and decline
    Early-life determinants
    Environmental factors
    Lifestyle
    Prenatal risk factors
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