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Journal Abstract Search

177 related items for PubMed ID: 24210517

  • 1. Agreement in participant-coded and investigator-coded food-record analysis in overweight research participants: an examination of interpretation bias.
    Bjorge-Schohl B, Johnston CS, Trier CM, Fleming KR.
    J Acad Nutr Diet; 2014 May; 114(5):796-801. PubMed ID: 24210517
    [Abstract] [Full Text] [Related]

  • 2. Dietary intake in human immunodeficiency virus-infected adults: a comparison of dietary assessment methods.
    Hendricks K, Tang A, Spiegelman D, Skinner S, Woods M.
    J Am Diet Assoc; 2005 Apr; 105(4):532-40. PubMed ID: 15800553
    [Abstract] [Full Text] [Related]

  • 3. Relative validation of a pre-coded food diary among children, under-reporting varies with reporting day and time of the day.
    Lillegaard IT, Løken EB, Andersen LF.
    Eur J Clin Nutr; 2007 Jan; 61(1):61-8. PubMed ID: 16855538
    [Abstract] [Full Text] [Related]

  • 4. Use of a three-day estimated food record, a 72-hour recall and a food-frequency questionnaire for dietary assessment in a Mediterranean Spanish population.
    Schröder H, Covas MI, Marrugat J, Vila J, Pena A, Alcántara M, Masiá R.
    Clin Nutr; 2001 Oct; 20(5):429-37. PubMed ID: 11534938
    [Abstract] [Full Text] [Related]

  • 5. Children's nutrient intake variability is affected by age and body weight status according to results from a Brazilian multicenter study.
    de Castro MA, Verly E, Fisberg M, Fisberg RM.
    Nutr Res; 2014 Jan; 34(1):74-84. PubMed ID: 24418249
    [Abstract] [Full Text] [Related]

  • 6. Association of self-perceived body weight status with dietary reporting by U.S. teens.
    Kant AK.
    Obes Res; 2002 Dec; 10(12):1259-69. PubMed ID: 12490670
    [Abstract] [Full Text] [Related]

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  • 8. The prevalence and impact of 'atypical' days in 4-day food records.
    Craig MR, Kristal AR, Cheney CL, Shattuck AL.
    J Am Diet Assoc; 2000 Apr; 100(4):421-7. PubMed ID: 10767897
    [Abstract] [Full Text] [Related]

  • 9. Comparing intake estimations based on food composition data with chemical analysis in Malian women.
    Koréissi-Dembélé Y, Doets EL, Fanou-Fogny N, Hulshof PJ, Moretti D, Brouwer ID.
    Public Health Nutr; 2017 Jun; 20(8):1351-1361. PubMed ID: 28173883
    [Abstract] [Full Text] [Related]

  • 10. Relative validity of the pre-coded food diary used in the Danish National Survey of Diet and Physical Activity.
    Knudsen VK, Gille MB, Nielsen TH, Christensen T, Fagt S, Biltoft-Jensen A.
    Public Health Nutr; 2011 Dec; 14(12):2110-6. PubMed ID: 21806861
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  • 12. Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women.
    Ashman AM, Collins CE, Brown LJ, Rae KM, Rollo ME.
    Nutrients; 2017 Jan 18; 9(1):. PubMed ID: 28106758
    [Abstract] [Full Text] [Related]

  • 13. Development and validation of a comprehensive semi-quantitative food frequency questionnaire that includes FODMAP intake and glycemic index.
    Barrett JS, Gibson PR.
    J Am Diet Assoc; 2010 Oct 18; 110(10):1469-76. PubMed ID: 20869485
    [Abstract] [Full Text] [Related]

  • 14. Meal distribution, relative validity and reproducibility of a meal-based food frequency questionnaire in Taiwan.
    Lyu LC, Lin CF, Chang FH, Chen HF, Lo CC, Ho HF.
    Asia Pac J Clin Nutr; 2007 Oct 18; 16(4):766-76. PubMed ID: 18042540
    [Abstract] [Full Text] [Related]

  • 15. Dietary Intake Patterns Are Consistent Across Seasons in a Cohort of Healthy Adults in a Metropolitan Population.
    Bernstein S, Zambell K, Amar MJ, Arango C, Kelley RC, Miszewski SG, Tryon S, Courville AB.
    J Acad Nutr Diet; 2016 Jan 18; 116(1):38-45. PubMed ID: 26376961
    [Abstract] [Full Text] [Related]

  • 16. Diet quality of Montreal-area adults needs improvement: estimates from a self-administered food frequency questionnaire furnishing a dietary indicator score.
    Shatenstein B, Nadon S, Godin C, Ferland G.
    J Am Diet Assoc; 2005 Aug 18; 105(8):1251-60. PubMed ID: 16182642
    [Abstract] [Full Text] [Related]

  • 17. Intake of nutrients related to cardiovascular disease risk among three groups of American Indians: the Strong Heart Dietary Study.
    Zephier EM, Ballew C, Mokdad A, Mendlein J, Smith C, Yeh JL, Lee E, Welty TK, Howard B.
    Prev Med; 1997 Aug 18; 26(4):508-15. PubMed ID: 9245673
    [Abstract] [Full Text] [Related]

  • 18. Digital food photography technology improves efficiency and feasibility of dietary intake assessments in large populations eating ad libitum in collective dining facilities.
    McClung HL, Champagne CM, Allen HR, McGraw SM, Young AJ, Montain SJ, Crombie AP.
    Appetite; 2017 Sep 01; 116():389-394. PubMed ID: 28527951
    [Abstract] [Full Text] [Related]

  • 19. Validation of a Tablet Application for Assessing Dietary Intakes Compared with the Measured Food Intake/Food Waste Method in Military Personnel Consuming Field Rations.
    Ahmed M, Mandic I, Lou W, Goodman L, Jacobs I, L'Abbé MR.
    Nutrients; 2017 Feb 27; 9(3):. PubMed ID: 28264428
    [Abstract] [Full Text] [Related]

  • 20. Relative validity of a food frequency questionnaire to assess nutrient intake in pregnant women.
    McGowan CA, Curran S, McAuliffe FM.
    J Hum Nutr Diet; 2014 Apr 27; 27 Suppl 2():167-74. PubMed ID: 23627971
    [Abstract] [Full Text] [Related]

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