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Beijing Healthy Aging Cohort Study (BHACS)
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Sample details

The BHACS is a large representative cohort of older people based on the general population of Beijing, China, and was designed to evaluate the prevalence, incidence, and natural history of cognitive decline, functional disability, and conventional vascular risk factors. BHACS was assembled from three existing cohorts, the Beijing Longitudinal Study of Aging (BLSA), the Cardiovascular and Cognitive Health Study in Middle-Aged and Elderly Residents of Beijing (CCHS-Beijing), and the Beijing Elderly Comprehensive Health Cohort Study (BECHCS). BHACS consists of a total population of 11,235 (6,281 in urban and 4,954 in rural areas) and an age range of 55 to 101 years, with a mean age of 70.35 years.

Study design
Cohort

Number of participants at first data collection

11,235 (participants)

Age at first data collection

≥ 55 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
Beijing’s elderly population aged 55 years and over.

Sample features

Older and elderly people
Dataset details

Country

China

Year of first data collection

1992

Primary Institutions

Capital Medical University (首都医科大学, CCMU)

People's Liberation Army General Hospital and Medical School (中国人民解放军总医院 中国人民解放军医学院)

Links
No website available

Profile paper DOI

doi.org/10.1007/s10654-023-01050-z

Funders

Beijing Municipal Science and Technology Commission (BMSTC)

Capital’s Funds for Health Improvement and Research

Commission of Science and Technology of Beijing

Ministry of Science and Technology (中华人民共和国科学技术部)

National Key Research and Development Program of China (NKRDP, 国家重点研发计划)

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
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Ageing
    Anthropometry
    Biological samples/biospecimens
    Cardiovascular health and disease
    Cognitive ageing and decline
    Dementia
    Longstanding illness and disability
    Physical health
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