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Cognitive Function After Stroke Nigeria Study (CogFAST Nigeria)
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Sample details

CogFAST Nigeria investigates the factors associated with vascular cognitive impairment after a stroke. The study recruited stroke survivors and healthy age-matched controls from the Federal Medical Center Abeokuta and University Colege Ibadan specialist hospitals and the surrounding community in southwest Nigeria. All participants were at least 45 years old without a subarachnoid haemorrhage, a significant illness that would prevent paper and computer-based assessments, neurological illnesses, or psychiatric conditions. At baseline, the cohort consisted of over 140 stroke survivors and over 70 control participants.

Study design
Cohort - clinical

Number of participants at first data collection

143 (stroke survivors)

74 (control participants)

Age at first data collection

≥ 45 years (stroke survivors)

≥ 45 years (control participants)

Participant year of birth

Varied (stroke survivors)

Varied (control participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Middle-aged people
Dataset details

Country

Nigeria

Year of first data collection

2010

Primary Institutions

Newcastle University

University of Ibadan (UI)

Links

cheba.unsw.edu.au/consortia/strokog/studies/cognitive-function-after-stroke-CogFAST-Nigeria-study

Funders

Alzheimer's Research UK

Biotechnology and Biological Sciences Research Council

Economic and Social Research Council (ESRC)

Engineering and Physical Sciences Research Council (EPSRC)

Medical Research Council (MRC)

Ongoing?
Yes

Data types collected

neuroImagingData
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
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • Computerized tomography (CT)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Ageing
    Cognitive impairment and disorders
    Diet and nutrition
    Lifestyle factors
    Mild cognitive impairment (MCI)
    Physical health
    Stroke

    Consortia and dataset groups

    Stroke and Cognition consortium (STROKOG)
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