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FAMILY Cohort
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Sample details

The FAMILY Cohort is a territory-wide cohort study in Hong Kong that aims to understand the health, happiness, and harmony (encompassing physical, mental, and social well-being) of individuals and their households, as well as neighbourhoods in which they live in a society undergoing rapid social and economic change. The cohort recruited families residing in Hong Kong who could understand and respond to the Cantonese survey. All family members 10 years or older were eligible to participate, resulting in over 46,000 participants from 20,279 families.

Study design
Household panel

Number of participants at first data collection

46,001 (participants)

Age at first data collection

≥ 10 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Families
Households and household members
Migrants
Dataset details

Country

China

Year of first data collection

2009

Primary Institutions

University of Hong Kong (香港大學, HKU)

Links

familycohort.sph.hku.hk/

Profile paper DOI

doi.org/10.1093/ije/dyu257

Funders

Food and Health Bureau (FHB) (now known as Health Bureau)

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

Hong Kong Jockey Club (HKJC)

Jessie & George Ho Charitable Foundation

National Natural Science Foundation of China (国家自然科学基金委员会, NSFC)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Interview – online
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Wearable devices
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Geographic, spatial & environmental data
Features

Engagement

  • None
  • Keywords

    Family environment and factors
    Happiness
    Physical health
    Quality of life
    Resilience
    Stigma
    Stressful life events
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