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Items: 9

1.

Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.

Guan VX, Probst YC, Neale EP, Tapsell LC.

PLoS One. 2019 Aug 12;14(8):e0221047. doi: 10.1371/journal.pone.0221047. eCollection 2019.

2.

Development of a Choline Database to Estimate Australian Population Intakes.

Probst Y, Guan V, Neale E.

Nutrients. 2019 Apr 23;11(4). pii: E913. doi: 10.3390/nu11040913.

3.

A systematic review of osteoarthritis prevention and management with dietary phytochemicals from foods.

Guan VX, Mobasheri A, Probst YC.

Maturitas. 2019 Apr;122:35-43. doi: 10.1016/j.maturitas.2019.01.005. Epub 2019 Jan 11.

PMID:
30797528
4.

Predictors for misreporting sodium and potassium intakes by overweight and obese participants in a food-based clinical trial: implications for practice.

Guan VX, Probst YC, Neale EP, Tapsell LC.

Eur J Clin Nutr. 2018 Aug 10. doi: 10.1038/s41430-018-0283-y. [Epub ahead of print]

PMID:
30097652
5.

Identifying usual food choices at meals in overweight and obese study volunteers: implications for dietary advice.

Guan VX, Probst YC, Neale EP, Batterham MJ, Tapsell LC.

Br J Nutr. 2018 Aug;120(4):472-480. doi: 10.1017/S0007114518001587. Epub 2018 Jul 17.

PMID:
30015604
6.

The effect of nut consumption on markers of inflammation and endothelial function: a systematic review and meta-analysis of randomised controlled trials.

Neale EP, Tapsell LC, Guan V, Batterham MJ.

BMJ Open. 2017 Nov 22;7(11):e016863. doi: 10.1136/bmjopen-2017-016863. Review.

7.

A systematic review of food composition tools used for determining dietary polyphenol intake in estimated intake studies.

Probst Y, Guan V, Kent K.

Food Chem. 2018 Jan 1;238:146-152. doi: 10.1016/j.foodchem.2016.11.010. Epub 2016 Nov 3. Review.

PMID:
28867085
8.

Dietary phytochemical intake from foods and health outcomes: a systematic review protocol and preliminary scoping.

Probst YC, Guan VX, Kent K.

BMJ Open. 2017 Feb 15;7(2):e013337. doi: 10.1136/bmjopen-2016-013337.

9.

Development of an At-Risk Assessment Approach to Dietary Data Quality in a Food-Based Clinical Trial.

Guan V, Probst Y, Neale E, Martin A, Tapsell L.

Stud Health Technol Inform. 2016;227:34-40.

PMID:
27440286

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