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Mark R. Cobain

Researcher at University of Bedfordshire

Publications -  28
Citations -  7197

Mark R. Cobain is an academic researcher from University of Bedfordshire. The author has contributed to research in topics: Population & Framingham Risk Score. The author has an hindex of 17, co-authored 26 publications receiving 6242 citations. Previous affiliations of Mark R. Cobain include Boston University & Unilever.

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General Cardiovascular Risk Profile for Use in Primary Care The Framingham Heart Study

TL;DR: A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure) and can be used to quantify risk and to guide preventive care.
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Estimated Risks for Developing Obesity in the Framingham Heart Study

TL;DR: This study tracked 4117 normal-weight white adults 30 to 59 years of age who participated in the Framingham Offspring Study during 1971 to 2001 to estimated the short-term, long- term, and lifetime risks for developing overweight or obesity by using longitudinal observations on a community-based sample.
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Trajectories of entering the metabolic syndrome: the framingham heart study

TL;DR: Particular trajectories and combinations of factors on entering the MetS confer higher risks of incident cardiovascular disease and mortality in the general population and among those with MetS.
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Anxiogenic-like effects of fluprazine and eltoprazine in the mouse elevated plus-maze: profile comparisons with 8-OH-DPAT, CGS 12066B, TFMPP and mCPP.

TL;DR: The profiles of fluprazine and eltoprazine on plus-maze behaviour were not only similar to one another but, on most parameters, were also remarkably like those observed with TFMPP and mCPP.
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Dietary patterns and the metabolic syndrome in obese and non-obese Framingham women.

TL;DR: This research shows the independent relationship between habitual dietary patterns and MetS risk in FOS women and the influence of obesity status and suggests potential benefits of targeted behavior change in both obese and non-obese women by dietary pattern.