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Diederick E. Grobbee

Researcher at Utrecht University

Publications -  1108
Citations -  136069

Diederick E. Grobbee is an academic researcher from Utrecht University. The author has contributed to research in topics: Population & Risk factor. The author has an hindex of 155, co-authored 1051 publications receiving 122748 citations. Previous affiliations of Diederick E. Grobbee include National Heart Foundation of Australia & Radboud University Nijmegen Medical Centre.

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Coffee, Decaffeinated Coffee, and Tea Consumption in Relation to Incident Type 2 Diabetes Mellitus: A Systematic Review With Meta-analysis

TL;DR: An inverse log-linear relationship between coffee consumption and subsequent risk of diabetes such that every additional cup of coffee consumed in a day was associated with a 7% reduction in the excess risk ofabetes relative risk after adjustment for potential confounders.
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Endogenous sex hormones and metabolic syndrome in aging men.

TL;DR: Higher testosterone and SHBG levels in aging males are independently associated with a higher insulin sensitivity and a reduced risk of the metabolic syndrome, independent of insulin levels and body composition measurements, suggesting that these hormones may protect against the development of metabolic syndrome.
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Carotid artery intima‐media thickness as an indicator of generalized atherosclerosis

TL;DR: The data supporting the use of ultrasonographically measured intima-media thickness of the major arteries, and in particular of the carotid artery, for visualizing and monitoring atherosclerosis are discussed.
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World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions

Stephen Kaptoge, +100 more
TL;DR: The derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions are reported.
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Estimating measures of interaction on an additive scale for preventive exposures.

TL;DR: Preventive factors should not be used to calculate measures of interaction on an additive scale without recoding, and recoding of preventive factors should be done such that the stratum with the lowest risk becomes the reference category when both factors are considered jointly.