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Hong Kong Department of Health Elderly Health Service Cohort
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Sample details

The Department of Health Elderly Health Service Cohort in Hong Kong was set up to promote understanding of ageing in a global context. The initial cohort, enrolled from July 1998 to the end of December 2001, includes 66,820 people aged 65 years or older, forming about 9% of the population of Hong Kong of this age. A comprehensive health assessment was made at enrolment and then repeated regularly on an ongoing basis. The mean age of participants at baseline was 72.4 years and ranged from 65 to 105 years, with 66% women. The cohort is now being extended to include enrollees in subsequent years. Including the 66,820 who enrolled from 1998 to 2001, there are now around 130,000 elders who have enrolled since 1998.

Study design
Cohort

Number of participants at first data collection

66,820 (participants)

Recruitment is ongoing

Age at first data collection

≥ 65 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Older and elderly people
Dataset details

Country

Hong Kong

Year of first data collection

1998

Primary Institutions

Government of Hong Kong Special Administrative Region

University of Hong Kong (香港大學, HKU)

Links
No website available

Profile paper DOI

doi.org/10.1093/ije/dyu227

Funders

Government of Hong Kong SAR

Health and Health Services Research Fund (now known as Health and Medical Research Fund, HMRF)F)

Hong Kong Health Services Research Fund (HSRF)

Hong Kong Research Grants Council (RGC)

Research Fund for the Control of Infectious Diseases

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Interview – phone
  • 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
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Ageing
    Biological samples/biospecimens
    Diet and nutrition
    Functional status
    Lifestyle
    Longevity
    Obesity
    Physical health
    Social conditions and environment
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