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Journal Abstract Search

468 related items for PubMed ID: 30060528

  • 1. Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals.
    Fatehah AA, Poh BK, Shanita SN, Wong JE.
    Nutrients; 2018 Jul 27; 10(8):. PubMed ID: 30060528
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  • 2. New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods.
    Boushey CJ, Spoden M, Zhu FM, Delp EJ, Kerr DA.
    Proc Nutr Soc; 2017 Aug 27; 76(3):283-294. PubMed ID: 27938425
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  • 3. Tele-dietetics with food images as dietary intake record in nutrition assessment.
    Chung LM, Chung JW.
    Telemed J E Health; 2010 Aug 27; 16(6):691-8. PubMed ID: 20597836
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  • 4. Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability.
    Beltran A, Dadabhoy H, Ryan C, Dholakia R, Jia W, Baranowski J, Sun M, Baranowski T.
    J Acad Nutr Diet; 2018 Nov 27; 118(11):2144-2153. PubMed ID: 30115556
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  • 5. The Accuracy of Portion Size Reporting on Self-Administered Online 24-Hour Dietary Recalls Among Women With Low Incomes.
    Kirkpatrick SI, Guenther PM, Durward C, Douglass D, Zimmerman TP, Kahle LL, Atoloye AT, Marcinow ML, Savoie-Roskos MR, Herrick KA, Dodd KW.
    J Acad Nutr Diet; 2022 Dec 27; 122(12):2243-2256. PubMed ID: 35390532
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  • 11. The Use of Digital Images in 24-Hour Recalls May Lead to Less Misestimation of Portion Size Compared with Traditional Interviewer-Administered Recalls.
    Kirkpatrick SI, Potischman N, Dodd KW, Douglass D, Zimmerman TP, Kahle LL, Thompson FE, George SM, Subar AF.
    J Nutr; 2016 Dec 27; 146(12):2567-2573. PubMed ID: 27807039
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  • 12. Criterion validity of the visual estimation method for determining patients' meal intake in a community hospital.
    Kawasaki Y, Sakai M, Nishimura K, Fujiwara K, Fujisaki K, Shimpo M, Akamatsu R.
    Clin Nutr; 2016 Dec 27; 35(6):1543-1549. PubMed ID: 27126712
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  • 13. [Evaluation study on a new method of dietary assessment with instant photography applied in urban pregnant women in Nanjing city].
    Jiang T, Dai Y, Miao M, Zhang Y, Song C, Wang Z.
    Wei Sheng Yan Jiu; 2015 Jul 27; 44(4):586-92. PubMed ID: 26454956
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  • 15. Using digital photography in a clinical setting: a valid, accurate, and applicable method to assess food intake.
    Winzer E, Luger M, Schindler K.
    Eur J Clin Nutr; 2018 Jun 27; 72(6):879-887. PubMed ID: 29563639
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  • 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
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  • 19. Assessment of Dietary Intake Using Food Photography and Video Recording in Free-Living Young Adults: A Comparative Study.
    Naaman R, Parrett A, Bashawri D, Campo I, Fleming K, Nichols B, Burleigh E, Murtagh J, Reid J, Gerasimidis K.
    J Acad Nutr Diet; 2021 Apr 01; 121(4):749-761.e1. PubMed ID: 33187931
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  • 20. Children's accuracy of portion size estimation using digital food images: effects of interface design and size of image on computer screen.
    Baranowski T, Baranowski JC, Watson KB, Martin S, Beltran A, Islam N, Dadabhoy H, Adame SH, Cullen K, Thompson D, Buday R, Subar A.
    Public Health Nutr; 2011 Mar 01; 14(3):418-25. PubMed ID: 21073772
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