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Items: 30

1.

Validity of a Food and Fluid Exercise Questionnaire for Macronutrient Intake during Exercise against Observations.

Wardenaar FC, Hoogervorst D, van der Burg N, Versteegen J, Yoo W, Tasevska N.

Nutrients. 2019 Oct 7;11(10). pii: E2391. doi: 10.3390/nu11102391.

2.

Influence of Storage Conditions and Preservatives on Metabolite Fingerprints in Urine.

Wang X, Gu H, Palma-Duran SA, Fierro A, Jasbi P, Shi X, Bresette W, Tasevska N.

Metabolites. 2019 Sep 27;9(10). pii: E203. doi: 10.3390/metabo9100203.

3.

Community food environment moderates association between health care provider advice to lose weight and eating behaviors.

Lorts C, Adams MA, Tasevska N, Tulloch D, Yedidia M, Hooker SP, Ohri-Vachaspati P.

Prev Med Rep. 2019 Jun 22;15:100926. doi: 10.1016/j.pmedr.2019.100926. eCollection 2019 Sep.

4.

Participation in the Supplemental Nutrition Assistance Program and Dietary Behaviors: Role of Community Food Environment.

Lorts C, Tasevska N, Adams MA, Yedidia MJ, Tulloch D, Hooker SP, Ohri-Vachaspati P.

J Acad Nutr Diet. 2019 Jun;119(6):934-943.e2. doi: 10.1016/j.jand.2018.11.021. Epub 2019 Feb 8.

PMID:
30745070
5.

The Chinese Children and Families Cohort Study: The Nutrition, Physical Activity, and Ultraviolet Radiation Data Collection.

Potischman N, Fang L, Hao L, Bailey RR, Berrigan D, Berry RJ, Brodie A, Chao A, Chen J, Dodd K, Feng Y, Ma G, He Y, Fan J, Kimlin M, Kitahara C, Linet M, Li Z, Liu A, Liu Y, Sampson J, Su J, Sun J, Tasevska N, Yang L, Yang R, Zhang Q, Wang N, Wang L, Yu W.

Nutr Today. 2018 May-Jun;53(3):104-114. doi: 10.1097/NT.0000000000000275. Epub 2018 May 23.

6.

Associations of Biomarker-Calibrated Intake of Total Sugars With the Risk of Type 2 Diabetes and Cardiovascular Disease in the Women's Health Initiative Observational Study.

Tasevska N, Pettinger M, Kipnis V, Midthune D, Tinker LF, Potischman N, Neuhouser ML, Beasley JM, Van Horn L, Howard BV, Liu S, Manson JE, Shikany JM, Thomson CA, Prentice RL.

Am J Epidemiol. 2018 Oct 1;187(10):2126-2135. doi: 10.1093/aje/kwy115.

7.

The Use of Family Rituals in Eating Behaviors in Hispanic Mothers.

Coe K, Benitez T, Tasevska N, Arriola A, Keller C.

Fam Community Health. 2018 Jan/Mar;41(1):28-36. doi: 10.1097/FCH.0000000000000170.

8.

Association between urinary biomarkers of total sugars intake and measures of obesity in a cross-sectional study.

Campbell R, Tasevska N, Jackson KG, Sagi-Kiss V, di Paolo N, Mindell JS, Lister SJ, Khaw KT, Kuhnle GGC.

PLoS One. 2017 Jul 19;12(7):e0179508. doi: 10.1371/journal.pone.0179508. eCollection 2017.

9.

Determinants of Sugar-Sweetened Beverage Consumption among Low-Income Children: Are There Differences by Race/Ethnicity, Age, and Sex?

Tasevska N, DeLia D, Lorts C, Yedidia M, Ohri-Vachaspati P.

J Acad Nutr Diet. 2017 Dec;117(12):1900-1920. doi: 10.1016/j.jand.2017.03.013. Epub 2017 May 8.

10.

Biomarker-predicted sugars intake compared with self-reported measures in US Hispanics/Latinos: results from the HCHS/SOL SOLNAS study.

Beasley JM, Jung M, Tasevska N, Wong WW, Siega-Riz AM, Sotres-Alvarez D, Gellman MD, Kizer JR, Shaw PA, Stamler J, Stoutenberg M, Van Horn L, Franke AA, Wylie-Rosett J, Mossavar-Rahmani Y.

Public Health Nutr. 2016 Dec;19(18):3256-3264. Epub 2016 Jun 24.

11.

Urinary Sugars--A Biomarker of Total Sugars Intake.

Tasevska N.

Nutrients. 2015 Jul 15;7(7):5816-33. doi: 10.3390/nu7075255. Review.

12.

Association between sucrose intake and risk of overweight and obesity in a prospective sub-cohort of the European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk).

Kuhnle GG, Tasevska N, Lentjes MA, Griffin JL, Sims MA, Richardson L, Aspinall SM, Mulligan AA, Luben RN, Khaw KT.

Public Health Nutr. 2015 Oct;18(15):2815-24. doi: 10.1017/S1368980015000300. Epub 2015 Feb 23.

13.

Reply to V Ha et al.

Tasevska N, Park Y, Subar AF, Potischman N.

Am J Clin Nutr. 2014 Nov;100(5):1400-1. doi: 10.3945/ajcn.114.094433. No abstract available.

14.

Use of a urinary sugars biomarker to assess measurement error in self-reported sugars intake in the nutrition and physical activity assessment study (NPAAS).

Tasevska N, Midthune D, Tinker LF, Potischman N, Lampe JW, Neuhouser ML, Beasley JM, Van Horn L, Prentice RL, Kipnis V.

Cancer Epidemiol Biomarkers Prev. 2014 Dec;23(12):2874-83. doi: 10.1158/1055-9965.EPI-14-0594. Epub 2014 Sep 18.

15.

Sugars and risk of mortality in the NIH-AARP Diet and Health Study.

Tasevska N, Park Y, Jiao L, Hollenbeck A, Subar AF, Potischman N.

Am J Clin Nutr. 2014 May;99(5):1077-88. doi: 10.3945/ajcn.113.069369. Epub 2014 Feb 19.

16.

Checking for completeness of 24-h urine collection using para-amino benzoic acid not necessary in the Observing Protein and Energy Nutrition study.

Subar AF, Midthune D, Tasevska N, Kipnis V, Freedman LS.

Eur J Clin Nutr. 2013 Aug;67(8):863-7. doi: 10.1038/ejcn.2013.62. Epub 2013 Mar 13.

PMID:
23486508
17.

The diet-body offset in human nitrogen isotopic values: a controlled dietary study.

O'Connell TC, Kneale CJ, Tasevska N, Kuhnle GG.

Am J Phys Anthropol. 2012 Nov;149(3):426-34. doi: 10.1002/ajpa.22140. Epub 2012 Oct 5.

18.

Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations.

Freedman LS, Midthune D, Carroll RJ, Tasevska N, Schatzkin A, Mares J, Tinker L, Potischman N, Kipnis V.

Am J Epidemiol. 2011 Dec 1;174(11):1238-45. doi: 10.1093/aje/kwr248. Epub 2011 Nov 1.

19.

Sugars in diet and risk of cancer in the NIH-AARP Diet and Health Study.

Tasevska N, Jiao L, Cross AJ, Kipnis V, Subar AF, Hollenbeck A, Schatzkin A, Potischman N.

Int J Cancer. 2012 Jan 1;130(1):159-69. doi: 10.1002/ijc.25990. Epub 2011 May 25.

20.

Use of the predictive sugars biomarker to evaluate self-reported total sugars intake in the Observing Protein and Energy Nutrition (OPEN) study.

Tasevska N, Midthune D, Potischman N, Subar AF, Cross AJ, Bingham SA, Schatzkin A, Kipnis V.

Cancer Epidemiol Biomarkers Prev. 2011 Mar;20(3):490-500. doi: 10.1158/1055-9965.EPI-10-0820. Epub 2011 Jan 28. Erratum in: Cancer Epidemiol Biomarkers Prev. 2011 Dec;20(12):2646.

21.

Gains in statistical power from using a dietary biomarker in combination with self-reported intake to strengthen the analysis of a diet-disease association: an example from CAREDS.

Freedman LS, Tasevska N, Kipnis V, Schatzkin A, Mares J, Tinker L, Potischman N.

Am J Epidemiol. 2010 Oct 1;172(7):836-42. doi: 10.1093/aje/kwq194. Epub 2010 Aug 17.

22.

No effect of meat, meat cooking preferences, meat mutagens or heme iron on lung cancer risk in the prostate, lung, colorectal and ovarian cancer screening trial.

Tasevska N, Cross AJ, Dodd KW, Ziegler RG, Caporaso NE, Sinha R.

Int J Cancer. 2011 Jan 15;128(2):402-11. doi: 10.1002/ijc.25327. Epub 2010 Mar 15.

23.

Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies?

Freedman LS, Kipnis V, Schatzkin A, Tasevska N, Potischman N.

Epidemiol Perspect Innov. 2010 Jan 20;7(1):2. doi: 10.1186/1742-5573-7-2.

24.

A prospective study of meat, cooking methods, meat mutagens, heme iron, and lung cancer risks.

Tasevska N, Sinha R, Kipnis V, Subar AF, Leitzmann MF, Hollenbeck AR, Caporaso NE, Schatzkin A, Cross AJ.

Am J Clin Nutr. 2009 Jun;89(6):1884-94. doi: 10.3945/ajcn.2008.27272. Epub 2009 Apr 15.

25.

Urinary sugars biomarker relates better to extrinsic than to intrinsic sugars intake in a metabolic study with volunteers consuming their normal diet.

Tasevska N, Runswick SA, Welch AA, McTaggart A, Bingham SA.

Eur J Clin Nutr. 2009 May;63(5):653-9. doi: 10.1038/ejcn.2008.21. Epub 2008 Feb 27.

PMID:
18301435
26.
27.

Twenty-four-hour urinary thiamine as a biomarker for the assessment of thiamine intake.

Tasevska N, Runswick SA, McTaggart A, Bingham SA.

Eur J Clin Nutr. 2008 Sep;62(9):1139-47. Epub 2007 Jun 13.

PMID:
17565356
28.
29.

Urinary sucrose and fructose as biomarkers for sugar consumption.

Tasevska N, Runswick SA, McTaggart A, Bingham SA.

Cancer Epidemiol Biomarkers Prev. 2005 May;14(5):1287-94.

30.

The MTHFR C677T, APOE, and PON55 gene polymorphisms show relevant interactions with cardiovascular risk factors.

Murphy MM, Vilella E, Ceruelo S, Figuera L, Sanchez M, Camps J, Cuco G, Ferré N, Labad A, Tasevska N, Arija V, Joven J, Fernandez-Ballart J.

Clin Chem. 2002 Feb;48(2):372-5. No abstract available.

PMID:
11805025

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