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Osteoporotic Fractures in Men (MrOS)
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Sample details

The MrOS study is a large, multicenter research project based in the United States of America that aims to identify risk factors for osteoporosis, fractures, and other age-related conditions in older men. Beginning in 2000, the study recruited approximately 6,000 men aged 65 years and older. Since baseline, there have been over 10 rounds of data collection, with the most recent follow-up occurring in 2020 and focused on COVID-19-related outcomes, with over 1,300 participants involved. Additionally, a sub-study was conducted to assess sleep patterns and disorders, which included more than 1,000 participants.

Study design
Cohort

Number of participants at first data collection

5,994 (participants)

Age at first data collection

≥ 65 years (participants)

Participant year of birth

Varied (participants)

Participant sex
Male

Representative sample at baseline?
No

Sample features

Community-based sample
Males
Older and elderly people
Dataset details

Country

United States of America

Year of first data collection

2000

Primary Institutions

California Pacific Medical Center Research Institute (Third Sector, United States of America)

Oregon Health & Science University (OHSU) (Academic, United States of America)

Stanford University (Academic, United States of America)

University of Alabama at Birmingham (UAB) (Academic, United States of America)

University of California, San Diego (UC San Diego) (Academic, United States of America)

Links

mrosonline.ucsf.edu/

sleepdata.org/datasets/mros

Funders

National Cancer Institute (NCI) (Government, United States of America)

National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) (Government, United States of America)

National Institute on Aging (NIA) (Government, United States of America)

National Institutes of Health (NIH) (Government, United States of America)

Ongoing?
Yes

Data types collected

mentalHealthData
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-completed questionnaire – paper or computer assisted
  • Wearable devices
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • Community engagement
  • Keywords

    Ageing
    Anthropometry
    Biological samples/biospecimens
    Cognitive ageing and decline
    Disease prevalence
    Fractures
    Geriatric mental health
    Musculoskeletal health
    Osteoporosis
    Physical activity and exercise
    Risk factors
    Sleep
    Sub-studies
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