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Mister Osteoporosis and Miss Osteoporosis Hong Kong (Mr. OS & Ms. OS Hong Kong)
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Sample details

The Mr. OS & Ms. OS study aims to examine the determinants of osteoporotic fractures in older Chinese men and women. Between 2001 and 2003, the study recruited and assessed 2,000 male and 2,000 female participants aged over 65 years from communities in Hong Kong. Participants have been followed up four times since baseline: 2 years after baseline, 4 years after, 7 years after, and the latest follow-up between 2015 and 2017, 14 years after baseline. Additionally, participants are followed up via telephone every 4 months. Over 1,000 participants remain in the study, and data on the spouses of the remaining subjects are now being collected, with over 30 spouses included in the latest follow-up.

Study design
Cohort

Number of participants at first data collection

4,000 (participants)

Age at first data collection

≥ 65 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Community-based sample
Older and elderly people
Dataset details
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Countries

China, Hong Kong

Year of first data collection

2001

Primary Institutions

Chinese University of Hong Kong (香港中文大學, CUHK)

Links

jococ.org/en/mros-msos.php

gefos.org/

Profile paper DOI

doi.org/10.1002/jbmr.4556

Funders

Chinese University of Hong Kong (香港中文大學, CUHK)

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

Hong Kong Research Grants Council (RGC)

National Institutes of Health (NIH)

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
  • Activity log (e.g. food, sleep, exercise)
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Interview – phone
  • Physical environment assessment (e.g. pollution, mould)
  • 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
  • Geographic, spatial & environmental data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Ageing
    Anthropometry
    Biological samples/biospecimens
    Cognitive ageing and decline
    Diet and nutrition
    Disease prevalence
    Disease risk
    Environmental factors
    Fractures
    Geriatric mental health
    Lifestyle factors
    Musculoskeletal health
    Osteoporosis
    Physical activity and exercise
    Spirometry
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