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Qatar Biobank Population-Based Study (QBB)
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Sample details

QBB aimed to collect biological samples and data to promote medical research in Qatar and worldwide. The study recruits people aged at least 18 years who are Qatari nationals or who have resided in Qatar for at least 15 years. Participating long-term residents of Qatar are from a variety of countries, including Algeria, Armenia, Bahrain, Bangladesh, Canada, Cyprus, Denmark, Egypt, Ethiopia, India, Iraq, Japan, Jordan, Pakistan, Philippines, Saudi Arabia, Somalia, Sudan, Syria, Tajikistan and more. As of 2019, over 17,000 participants were included in QBB. QBB aims to recruit 60,000 participants and, as of 2024, is continuing to recruit participants.

Study design
Biobank, Cohort

Number of participants at first data collection

17,065 (participants as of 2019)

Recruitment is ongoing

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Ethnically diverse populations
Dataset details

Country

Qatar

Year of first data collection

2012

Primary Institutions

Hamad Medical Corporation

Qatar Precision Health Institute (QPHI)

Qatar University (جامعة قطر, QU)

Sidra medicine

Links

qphi.org.qa/research/qphi-population-based-study

Profile paper DOI

doi.org/10.1093/aje/kwz084

Funders

Hamad Medical Corporation

Ministry of Public Health

Qatar Foundation

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Interview – face-to-face
  • Passive electronic data collection (e.g. screen time, scroll speed)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – unspecified
Qualitative data collection
  • None
Neuroimaging data collection
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Biomarkers
    Genetic predisposition
    Lifestyle factors
    Noncommunicable diseases
    Physical health
    Risk factors
    Smoking
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