C-peptide, IGF-I, sex-steroid hormones and adiposity: a cross-sectional study in healthy women within the European Prospective Investigation into Cancer and Nutrition (EPIC)
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Cancer Causes and Control, 16, 5, S. 561-572
- Classification
-
Medizin, Gesundheit
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg, Springer Science and Business Media LLC
- (when)
-
2005
- Creator
-
Bezemer, Irene D.
Rinaldi, Sabina
Dossus, Laure
Gils, Carla H. van.
Peeters, Petra H. M.
Noord, Paulus A. H. van.
Bueno-de-Mesquita, H. Bas
Johnsen, Soren Paaske
Overvad, Kim
Olsen, Anja
Tjønneland, Anne
Boeing, Heiner
Lahmann, Petra H.
Linseisen, Jakob
Nagel, Gabriele
Allen, Naomi
Roddam, Andrew
Bingham, Sheila
Khaw, Kay-Tee
Kesse, Emmanuelle
Téhard, Bertrand
Clavel-Chapelon, Françoise
Agudo, Antonio
Ardanaz, Eva
Quiros, J. R.
Amiano, Pilar
C, Martínez-Garcia
Tormo, M. J.
Pala, Valeria
Panico, Salvatore
Vineis, Paolo
Palli, Domenico
Tumino, Rosario
Trichopoulou, Antonia
Baibas, N.
Zilis, D.
Hémon, Bertrand
Norat, Teresa
Riboli, Elio
Kaaks, Rudolf
- DOI
-
10.1007/s10552-004-7472-9
- URN
-
urn:nbn:de:bvb:384-opus4-859378
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:56 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bezemer, Irene D.
- Rinaldi, Sabina
- Dossus, Laure
- Gils, Carla H. van.
- Peeters, Petra H. M.
- Noord, Paulus A. H. van.
- Bueno-de-Mesquita, H. Bas
- Johnsen, Soren Paaske
- Overvad, Kim
- Olsen, Anja
- Tjønneland, Anne
- Boeing, Heiner
- Lahmann, Petra H.
- Linseisen, Jakob
- Nagel, Gabriele
- Allen, Naomi
- Roddam, Andrew
- Bingham, Sheila
- Khaw, Kay-Tee
- Kesse, Emmanuelle
- Téhard, Bertrand
- Clavel-Chapelon, Françoise
- Agudo, Antonio
- Ardanaz, Eva
- Quiros, J. R.
- Amiano, Pilar
- C, Martínez-Garcia
- Tormo, M. J.
- Pala, Valeria
- Panico, Salvatore
- Vineis, Paolo
- Palli, Domenico
- Tumino, Rosario
- Trichopoulou, Antonia
- Baibas, N.
- Zilis, D.
- Hémon, Bertrand
- Norat, Teresa
- Riboli, Elio
- Kaaks, Rudolf
- Universität Augsburg, Springer Science and Business Media LLC
Time of origin
- 2005
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Investigation of the machine learning method Random Survival Forest as an exploratory analysis tool for the identification of variables associated with disease risks in complex survival data
Derivation and validation of German risk scores predicting substantial gain in weight and waist circumference
Vitamin E intake and cardiovascular diseases in the EPIC-Potsdam Study
Untersuchung des Zusammenhangs der alimentären Fettsäurezufuhr und des Fettsäurestatus in Erythrozyten mit dem Risiko für Typ-2-Diabetes mellitus in der EPIC-Potsdam-Studie
Evaluation of food-based dietary guidelines of Germany concerning their potential of chronic disease prevention with suggestions for improvement: Results from the EPIC-Potsdam study
Treelet transform for untargeted metabolomics data : treelet transform generates serum metabolite and lipid components that are correlated to anthropometry and intestinal microbiota in a cross-sectional EPIC-Potsdam sub-study
Physical activity and chronic disease risk : development and evaluation of a physical activity index and baseline physical activity data calibration in EPIC Germany
Habitual meal patterns in an EPIC-Potsdam sub-study : description, associations with cardiometabolic disease risk factors and multilevel modeling of energy and macronutrient intake
Macronutrient, vitamin, and mineral intakes in the EPIC-Germany cohorts
The mediterranean diet and its components and the risk of heart failure in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study : a top down approach
Chronischer Stress und seine Assoziation zur Körperzusammensetzung und etablierten Risikofaktoren des Lebensstils in einer EPIC-Potsdam-Substudie
Use of hormone replacement therapy (HRT) among women aged 45–64 years in the German EPIC-cohorts
Investigation of the machine learning method Random Survival Forest as an exploratory analysis tool for the identification of variables associated with disease risks in complex survival data
Derivation and validation of German risk scores predicting substantial gain in weight and waist circumference
Vitamin E intake and cardiovascular diseases in the EPIC-Potsdam Study
Untersuchung des Zusammenhangs der alimentären Fettsäurezufuhr und des Fettsäurestatus in Erythrozyten mit dem Risiko für Typ-2-Diabetes mellitus in der EPIC-Potsdam-Studie
Evaluation of food-based dietary guidelines of Germany concerning their potential of chronic disease prevention with suggestions for improvement: Results from the EPIC-Potsdam study
Treelet transform for untargeted metabolomics data : treelet transform generates serum metabolite and lipid components that are correlated to anthropometry and intestinal microbiota in a cross-sectional EPIC-Potsdam sub-study
Physical activity and chronic disease risk : development and evaluation of a physical activity index and baseline physical activity data calibration in EPIC Germany
Habitual meal patterns in an EPIC-Potsdam sub-study : description, associations with cardiometabolic disease risk factors and multilevel modeling of energy and macronutrient intake
Macronutrient, vitamin, and mineral intakes in the EPIC-Germany cohorts
The mediterranean diet and its components and the risk of heart failure in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study : a top down approach
Chronischer Stress und seine Assoziation zur Körperzusammensetzung und etablierten Risikofaktoren des Lebensstils in einer EPIC-Potsdam-Substudie
Use of hormone replacement therapy (HRT) among women aged 45–64 years in the German EPIC-cohorts
Investigation of the machine learning method Random Survival Forest as an exploratory analysis tool for the identification of variables associated with disease risks in complex survival data