Similar articles for PMID: 30060455

Year	Number of Results
1952	1
1990	1
1992	1
1994	1
1995	5
1996	3
1997	1
1998	1
1999	5
2000	3
2001	2
2003	3
2004	5
2005	2
2006	6
2007	8
2008	9
2009	4
2010	3
2011	6
2012	8
2013	12
2014	9
2015	10
2016	14
2017	7
2018	12
2019	4
2020	5
2021	6
2022	8
2023	1
2024	0

1

Comparison of Nutrient Estimates Based on Food Volume versus Weight: Implications for Dietary Assessment Methods.

Partridge EK, Neuhouser ML, Breymeyer K, Schenk JM. Partridge EK, et al. Nutrients. 2018 Jul 27;10(8):973. doi: 10.3390/nu10080973. Nutrients. 2018. PMID: 30060455 Free PMC article.

2

Comparison of six microcomputer dietary analysis systems with the USDA Nutrient Data Base for Standard Reference.

Nieman DC, Butterworth DE, Nieman CN, Lee KE, Lee RD. Nieman DC, et al. J Am Diet Assoc. 1992 Jan;92(1):48-56; discussion 57. J Am Diet Assoc. 1992. PMID: 1728623

3

Comparison of eight microcomputer dietary analysis programs with the USDA Nutrient Data Base for Standard Reference.

Lee RD, Nieman DC, Rainwater M. Lee RD, et al. J Am Diet Assoc. 1995 Aug;95(8):858-67. doi: 10.1016/S0002-8223(95)00240-5. J Am Diet Assoc. 1995. PMID: 7636075

4

Impact of typical rather than nutrient-dense food choices in the US Department of Agriculture Food Patterns.

Britten P, Cleveland LE, Koegel KL, Kuczynski KJ, Nickols-Richardson SM. Britten P, et al. J Acad Nutr Diet. 2012 Oct;112(10):1560-9. doi: 10.1016/j.jand.2012.06.360. Epub 2012 Aug 18. J Acad Nutr Diet. 2012. PMID: 22906562

5

Comparison of flavonoid intake assessment methods.

Ivey KL, Croft K, Prince RL, Hodgson JM. Ivey KL, et al. Food Funct. 2016 Sep 14;7(9):3748-59. doi: 10.1039/c4fo00234b. Epub 2016 Aug 12. Food Funct. 2016. PMID: 27518801

6

Assessing vitamin D contents in foods and supplements: challenges and needs.

Holden JM, Lemar LE. Holden JM, et al. Am J Clin Nutr. 2008 Aug;88(2):551S-553S. doi: 10.1093/ajcn/88.2.551S. Am J Clin Nutr. 2008. PMID: 18689400 Free article. Review.

7

Quality-control materials in the USDA National Food and Nutrient Analysis Program (NFNAP).

Phillips KM, Patterson KY, Rasor AS, Exler J, Haytowitz DB, Holden JM, Pehrsson PR. Phillips KM, et al. Anal Bioanal Chem. 2006 Mar;384(6):1341-55. doi: 10.1007/s00216-005-0294-0. Epub 2006 Feb 24. Anal Bioanal Chem. 2006. PMID: 16501956

8

Nutrient database improvement project: the influence of USDA quality and yield grade on the separable components and proximate composition of raw and cooked retail cuts from the beef chuck.

West SE, Harris KB, Haneklaus AN, Savell JW, Thompson LD, Brooks JC, Pool JK, Luna AM, Engle TE, Schutz JS, Woerner DR, Arcibeque SL, Belk KE, Douglass L, Leheska JM, McNeill S, Howe JC, Holden JM, Duvall M, Patterson K. West SE, et al. Meat Sci. 2014 Aug;97(4):558-67. doi: 10.1016/j.meatsci.2014.01.018. Epub 2014 Feb 8. Meat Sci. 2014. PMID: 24769877

9

Extent of error in estimating nutrient intakes from food tables versus laboratory estimates of cooked foods.

Chiplonkar SA, Agte VV. Chiplonkar SA, et al. Asia Pac J Clin Nutr. 2007;16(2):227-39. Asia Pac J Clin Nutr. 2007. PMID: 17468077 Free article.

10

USDA's National Food and Nutrient Analysis Program (NFNAP) produces high-quality data for USDA food composition databases: Two decades of collaboration.

Haytowitz DB, Pehrsson PR. Haytowitz DB, et al. Food Chem. 2018 Jan 1;238:134-138. doi: 10.1016/j.foodchem.2016.11.082. Epub 2016 Nov 19. Food Chem. 2018. PMID: 28867083

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My NCBI Filters

Results by year

Text availability

Article attribute

Article type

Publication date

150 results

Results by year