Knüppel S - Search Results

1

Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study.

Haubrock J, Nöthlings U, Volatier JL, Dekkers A, Ocké M, Harttig U, Illner AK, Knüppel S, Andersen LF, Boeing H; European Food Consumption Validation Consortium. Haubrock J, et al. Among authors: knuppel s. J Nutr. 2011 May;141(5):914-20. doi: 10.3945/jn.109.120394. Epub 2011 Mar 23. J Nutr. 2011. PMID: 21430241 Free article.

2

The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method.

Harttig U, Haubrock J, Knüppel S, Boeing H; EFCOVAL Consortium. Harttig U, et al. Among authors: knuppel s. Eur J Clin Nutr. 2011 Jul;65 Suppl 1:S87-91. doi: 10.1038/ejcn.2011.92. Eur J Clin Nutr. 2011. PMID: 21731011

3

Contribution to the understanding of how principal component analysis-derived dietary patterns emerge from habitual data on food consumption.

Schwedhelm C, Iqbal K, Knüppel S, Schwingshackl L, Boeing H. Schwedhelm C, et al. Among authors: knuppel s. Am J Clin Nutr. 2018 Feb 1;107(2):227-235. doi: 10.1093/ajcn/nqx027. Am J Clin Nutr. 2018. PMID: 29529145 Free PMC article.

4

Gaussian graphical models identified food intake networks and risk of type 2 diabetes, CVD, and cancer in the EPIC-Potsdam study.

Iqbal K, Schwingshackl L, Floegel A, Schwedhelm C, Stelmach-Mardas M, Wittenbecher C, Galbete C, Knüppel S, Schulze MB, Boeing H. Iqbal K, et al. Among authors: knuppel s. Eur J Nutr. 2019 Jun;58(4):1673-1686. doi: 10.1007/s00394-018-1714-1. Epub 2018 May 14. Eur J Nutr. 2019. PMID: 29761319

5

Design and characterization of dietary assessment in the German National Cohort.

Knüppel S, Clemens M, Conrad J, Gastell S, Michels KB, Leitzmann M, Krist L, Pischon T, Krause G, Ahrens W, Ebert N, Jöckel KH, Kluttig A, Obi N, Kaaks R, Lieb W, Schipf S, Brenner H, Heuer T, Harttig U, Linseisen J, Nöthlings U, Boeing H. Knüppel S, et al. Eur J Clin Nutr. 2019 Nov;73(11):1480-1491. doi: 10.1038/s41430-018-0383-8. Epub 2019 Jan 15. Eur J Clin Nutr. 2019. PMID: 30647440

6

Is a Single 24-hour Dietary Recall per Person Sufficient to Estimate the Population Distribution of Usual Dietary Intake?

Knüppel S, Norman K, Boeing H. Knüppel S, et al. J Nutr. 2019 Sep 1;149(9):1491-1492. doi: 10.1093/jn/nxz118. J Nutr. 2019. PMID: 31172195 Free article. No abstract available.

7

Usual Dietary Intake Estimation Based on a Combination of Repeated 24-H Food Lists and a Food Frequency Questionnaire in the KORA FF4 Cross-Sectional Study.

Mitry P, Wawro N, Six-Merker J, Zoller D, Jourdan C, Meisinger C, Thierry S, Nöthlings U, Knüppel S, Boeing H, Linseisen J. Mitry P, et al. Among authors: knuppel s. Front Nutr. 2019 Sep 6;6:145. doi: 10.3389/fnut.2019.00145. eCollection 2019. Front Nutr. 2019. PMID: 31552261 Free PMC article.

8

The influence of adjustment for energy misreporting on relations of cake and cookie intake with cardiometabolic disease risk factors.

Gottschald M, Knüppel S, Boeing H, Buijsse B. Gottschald M, et al. Among authors: knuppel s. Eur J Clin Nutr. 2016 Nov;70(11):1318-1324. doi: 10.1038/ejcn.2016.131. Epub 2016 Jul 27. Eur J Clin Nutr. 2016. PMID: 27460264

9

Evaluating the effect of measurement error when using one or two 24 h dietary recalls to assess eating out: a study in the context of the HECTOR project.

Orfanos P, Knüppel S, Naska A, Haubrock J, Trichopoulou A, Boeing H. Orfanos P, et al. Among authors: knuppel s. Br J Nutr. 2013 Sep 28;110(6):1107-17. doi: 10.1017/S0007114513000159. Epub 2013 Feb 25. Br J Nutr. 2013. PMID: 23433469

10

Determinants of consumption-day amounts applicable for the estimation of usual dietary intake with a short 24-h food list.

Freese J, Pricop-Jeckstadt M, Heuer T, Clemens M, Boeing H, Knüppel S, Nöthlings U. Freese J, et al. Among authors: knuppel s. J Nutr Sci. 2016 Aug 15;5:e35. doi: 10.1017/jns.2016.26. eCollection 2016. J Nutr Sci. 2016. PMID: 27752302 Free PMC article.

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