BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

243 related articles for article (PubMed ID: 35187027)

  • 1. A Semi-quantitative Food Frequency Questionnaire Has Relative Validity to Identify Groups of NOVA Food Classification System Among Mexican Adults.
    Oviedo-Solís CI; Monterrubio-Flores EA; Rodríguez-Ramírez S; Cediel G; Denova-Gutiérrez E; Barquera S
    Front Nutr; 2022; 9():737432. PubMed ID: 35187027
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Relative Validity of a Semi-Quantitative Food Frequency Questionnaire to Estimate Dietary Intake According to the NOVA Classification in Mexican Children and Adolescents.
    Oviedo-Solís CI; Monterrubio-Flores EA; Cediel G; Denova-Gutiérrez E; Barquera S
    J Acad Nutr Diet; 2022 Jun; 122(6):1129-1140. PubMed ID: 34763139
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Relative Validity and Reproducibility of a Food Frequency Questionnaire to Assess Energy Intake from Minimally Processed and Ultra-Processed Foods in Young Children.
    Fangupo LJ; Haszard JJ; Leong C; Heath AM; Fleming EA; Taylor RW
    Nutrients; 2019 Jun; 11(6):. PubMed ID: 31181631
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Greater Frequency of Cooking Dinner at Home and More Time Spent Cooking Are Inversely Associated With Ultra-Processed Food Consumption Among US Adults.
    Wolfson JA; Martinez-Steele E; Tucker AC; Leung CW
    J Acad Nutr Diet; 2024 Mar; ():. PubMed ID: 38462128
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Energy contribution of NOVA food groups and sociodemographic determinants of ultra-processed food consumption in the Mexican population.
    Marrón-Ponce JA; Sánchez-Pimienta TG; Louzada MLDC; Batis C
    Public Health Nutr; 2018 Jan; 21(1):87-93. PubMed ID: 28937354
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ultra-processed food intakes associated with 'food addiction' in young adults.
    Whatnall M; Clarke E; Collins CE; Pursey K; Burrows T
    Appetite; 2022 Nov; 178():106260. PubMed ID: 35921867
    [TBL] [Abstract][Full Text] [Related]  

  • 7. NOVA food groups' consumption associated with nutrient intake profile of school children aged 8-12 years.
    de Lacerda AT; do Carmo AS; Maia de Sousa T; Dos Santos LC
    Public Health Nutr; 2023 Jan; 26(1):56-62. PubMed ID: 35188094
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Food processing and its association with dental caries: Data from NHANES 2011-2014.
    Bidinotto AB; Martinez-Steele E; Cunha-Cruz J; Thomson WM; Hugo FN; Hilgert JB
    Community Dent Oral Epidemiol; 2021 Dec; 49(6):565-573. PubMed ID: 33594715
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation.
    Neri D; Gabe KT; Costa CDS; Martinez Steele E; Rauber F; Marchioni DM; da Costa Louzada ML; Levy RB; Monteiro CA
    Public Health Nutr; 2023 Oct; 26(10):1997-2004. PubMed ID: 37548217
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The degree of food processing contributes to sugar intakes in families with preschool-aged children.
    Ashraf R; Duncan AM; Darlington G; Buchholz AC; Haines J; Ma DWL;
    Clin Nutr ESPEN; 2024 Feb; 59():37-47. PubMed ID: 38220399
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: Application of the Nova classification and validation using selected biomarkers of food processing.
    Huybrechts I; Rauber F; Nicolas G; Casagrande C; Kliemann N; Wedekind R; Biessy C; Scalbert A; Touvier M; Aleksandrova K; Jakszyn P; Skeie G; Bajracharya R; Boer JMA; Borné Y; Chajes V; Dahm CC; Dansero L; Guevara M; Heath AK; Ibsen DB; Papier K; Katzke V; Kyrø C; Masala G; Molina-Montes E; Robinson OJK; Santiuste de Pablos C; Schulze MB; Simeon V; Sonestedt E; Tjønneland A; Tumino R; van der Schouw YT; Verschuren WMM; Vozar B; Winkvist A; Gunter MJ; Monteiro CA; Millett C; Levy RB
    Front Nutr; 2022; 9():1035580. PubMed ID: 36590209
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of dietary share of ultra-processed foods assessed with a FFQ against a 24-h dietary recall in adults: results from KNHANES 2016.
    Jung S; Park S; Kim JY
    Public Health Nutr; 2022 Jan; 25(5):1-10. PubMed ID: 35042567
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reliability and validity of assigning ultraprocessed food categories to 24-h dietary recall data.
    Sneed NM; Ukwuani S; Sommer EC; Samuels LR; Truesdale KP; Matheson D; Noerper TE; Barkin SL; Heerman WJ
    Am J Clin Nutr; 2023 Jan; 117(1):182-190. PubMed ID: 36789937
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying and Estimating Ultraprocessed Food Intake in the US NHANES According to the Nova Classification System of Food Processing.
    Steele EM; O'Connor LE; Juul F; Khandpur N; Galastri Baraldi L; Monteiro CA; Parekh N; Herrick KA
    J Nutr; 2023 Jan; 153(1):225-241. PubMed ID: 36913457
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Consumption of ultra-processed foods decreases the quality of the overall diet of middle-aged Japanese adults.
    Koiwai K; Takemi Y; Hayashi F; Ogata H; Matsumoto S; Ozawa K; Machado PP; Monteiro CA
    Public Health Nutr; 2019 Nov; 22(16):2999-3008. PubMed ID: 31218993
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Consumption of ultra-processed foods predicts diet quality in Canada.
    Moubarac JC; Batal M; Louzada ML; Martinez Steele E; Monteiro CA
    Appetite; 2017 Jan; 108():512-520. PubMed ID: 27825941
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Associations between Consumption of Ultra-Processed Foods and Intake of Nutrients Related to Chronic Non-Communicable Diseases in Mexico.
    Marrón-Ponce JA; Flores M; Cediel G; Monteiro CA; Batis C
    J Acad Nutr Diet; 2019 Nov; 119(11):1852-1865. PubMed ID: 31262695
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Validity and reproducibility of a semi-quantitative food frequency questionnaire for Iranian adults.
    Mohammadifard N; Haghighatdust F; Kelishadi R; Bahonar A; Dianatkhah M; Heidari H; Maghroun M; Dehghan M
    Nutr Diet; 2021 Jul; 78(3):305-314. PubMed ID: 33786965
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Characterizing Ultra-Processed Foods by Energy Density, Nutrient Density, and Cost.
    Gupta S; Hawk T; Aggarwal A; Drewnowski A
    Front Nutr; 2019; 6():70. PubMed ID: 31231655
    [No Abstract]   [Full Text] [Related]  

  • 20. Reproducibility and validity of a food-frequency questionnaire (NFFQ) to assess food consumption based on the NOVA classification in adults.
    Dinu M; Bonaccio M; Martini D; Madarena MP; Vitale M; Pagliai G; Esposito S; Ferraris C; Guglielmetti M; Rosi A; Angelino D
    Int J Food Sci Nutr; 2021 Sep; 72(6):861-869. PubMed ID: 33550856
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.