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STROKOG is a consortium of longitudinal studies of cognitive disorders following stroke, TIA or small vessel disease. Developed under the auspices of VASCOG (Society for the Study of Vascular Cognitive and Behavioural Disorders), it is the first international effort to harmonise work on post-stroke dementia and is being led by CHeBA researchers.

The consortium brings together studies that have examined post-stroke or other high vascular risk cohorts longitudinally, with cognitive decline and dementia (including sub-types) as primary outcome variables. The included studies (N=27; total sample of more than 10,000 individuals, representing 17 countries) have rich neuropsychological and MRI data, and some recent studies (n=3) have included amyloid imaging in sub-samples. A number of studies have CSF and/or plasma available for biomarker studies, and participant enrolment in brain banks for neuropathology.

Last Update 21/09/2017

This is the largest multi-centre study of ageing in men in the world and intends to identify the nature and frequency of some of the symptoms of ageing in men, the relationships between these symptoms to hormonal changes and other risk factors.

In total, 3369 men in 8 different countries in Europe are taking part in the study. These 8 centres are Manchester – UK, Malmo – Sweden, Tartu – Estonia, Lodz – Poland, Szeged – Hungary, Florence – Italy, Santiago de Compostela – Spain, Leuven – Belgium. In each centre, ~400 men aged between 40 and 79 years at the start of the study have been recruited. They will be followed up to look for future changes in their hormonal and general health status. The men will be investigated initially on two occasions, at the start and then ~5 years later. It is highly likely that the study will continue beyond 5 years and further testing will be organised subsequently. The aims of the study are to:

  1. Document geographical variations in the ageing-related involution decline of endocrine function in European men;
  2. Explain the variability in the rate of secular decline in endocrine functions on the basis of socio-demographic, lifestyle, co-morbid, ethnic/racial, or genetic factors;
  3. Predict the physical and psychological health status of individuals based on the variation in ageing-related endocrine decline and changes in body composition.

Last update – 24/04/2017