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Chinese Longitudinal Aging Study (CLAS)
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Sample details

The CLAS was developed to better understand the impact of ageing on cognition and mental health in a sample of Chinese individuals over the age of 60 years. Males comprised 42.2% of the sample, and the mean age was 72.8 years. Han Chinese, the predominant ethnic group in mainland China, accounted for 99.7% of the sample; 98.9% of the sample was retired; and 96.3% lived in the city of Shanghai. On average, participants had 7.74 years of education, and 63.7% of them had worked in some form of manual labor.

Study design
Cohort

Number of participants at first data collection

3,514 (participants)

Age at first data collection

≥ 60 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
All permanent residents of China aged 60 years and over.

Sample features

Older and elderly people
Dataset details

Country

China

Year of first data collection

2011

Primary Institutions

Shanghai Jiao Tong University (上海交通大学, SJTU)

Links

maelstrom-research.org/study/clas

doi.org/10.3109/09638237.2015.1124385

Funders

Ministry of Health (now known as National Health Commission)

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

Shanghai Mental Health Center

Ongoing?
Yes

Data types collected

neuroImagingData
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)
Qualitative data collection
  • None
Neuroimaging data collection
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Census data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Ageing
    Alzheimer's disease (AD)
    Biological samples/biospecimens
    Cognitive ageing and decline
    Dementia
    Healthy ageing
    Mild cognitive impairment (MCI)
    Neuroimaging
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