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Amber A. van der Heijden

Researcher at Public Health Research Institute

Publications -  62
Citations -  1557

Amber A. van der Heijden is an academic researcher from Public Health Research Institute. The author has contributed to research in topics: Population & Type 2 diabetes. The author has an hindex of 17, co-authored 49 publications receiving 1038 citations. Previous affiliations of Amber A. van der Heijden include VU University Amsterdam & University Medical Center Utrecht.

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Is higher dairy consumption associated with lower body weight and fewer metabolic disturbances? The Hoorn Study

TL;DR: In an elderly Dutch population, higher dairy consumption was not associated with lower weight or more favorable levels of components of the metabolic syndrome, except for a modest association with lower blood pressure.
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Variation in the glucose transporter gene SLC2A2 is associated with glycemic response to metformin.

Kaixin Zhou, +58 more
- 01 Sep 2016 - 
TL;DR: The Metformin Genetics Consortium reported a three-stage genome-wide association study (GWAS), consisting of 13,123 participants of different ancestries as discussed by the authors, showing that the C allele of rs8192675 in the intron of SLC2A2, which encodes the facilitated glucose transporter GLUT2, was associated with a 0.17% (P = 6.6 × 10−14) greater metformin-induced reduction in hemoglobin A1c (HbA1c) in 10,577 participants of European ancestry.
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The Association between Social Jetlag, the Metabolic Syndrome, and Type 2 Diabetes Mellitus in the General Population : the New Hoorn study

TL;DR: In this article, the association of social jetlag with metabolic syndrome and type 2 diabetes mellitus was examined in a large-scale study, and the association was shown to be associated with the metabolic consequences of jetlag.
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Prediction of coronary heart disease risk in a general, pre-diabetic, and diabetic population during 10 years of follow-up: accuracy of the Framingham, SCORE, and UKPDS risk functions: The Hoorn Study

TL;DR: The Framingham function for prediction of the first CHD event is likely to overestimate an individual's absolute CHD risk, and application of the SCORE and UKPDS functions might be useful in the absence of a more valid tool.