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Relating Education, Brain Structure, and Cognition: The Role of Cardiovascular Disease Risk Factors

Overview of attention for article published in BioMed Research International, August 2014
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Title
Relating Education, Brain Structure, and Cognition: The Role of Cardiovascular Disease Risk Factors
Published in
BioMed Research International, August 2014
DOI 10.1155/2014/271487
Pubmed ID
Authors

Moyra E. Mortby, Richard Burns, Andrew L. Janke, Perminder S. Sachdev, Kaarin J. Anstey, Nicolas Cherbuin

Abstract

The protective effect of education on cognitive and brain health is well established. While the direct effects of individual cardiovascular disease (CVD) risk factors (i.e., hypertension, smoking, diabetes, and obesity) on cerebral structure have been investigated, little is understood about the possible interaction between the protective effect of education and the deleterious effects of CVD risk factors in predicting brain ageing and cognition. Using data from the PATH Through Life study (N = 266), we investigated the protective effect of education on cerebral structure and function and tested a possible mediating role of CVD risk factors. Higher education was associated with larger regional grey/white matter volumes in the prefrontal cortex in men only. The association between education and cognition was mediated by brain volumes but only for grey matter and only in relation to information processing speed. CVD risk factors did not mediate the association between regional volumes and cognition. This study provides additional evidence in support for a protective effect of education on cerebral structures and cognition. However, it does not provide support for a mediating role of CVD risk factors in these associations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Researcher 6 13%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 5 10%
Professor 3 6%
Other 8 17%
Unknown 14 29%
Readers by discipline Count As %
Psychology 9 19%
Neuroscience 8 17%
Medicine and Dentistry 4 8%
Agricultural and Biological Sciences 3 6%
Engineering 2 4%
Other 2 4%
Unknown 20 42%