Published on in Vol 17, No 12 (2015): December

Evaluation of a Web-Based Food Record for Children Using Direct Unobtrusive Lunch Observations: A Validation Study

Evaluation of a Web-Based Food Record for Children Using Direct Unobtrusive Lunch Observations: A Validation Study

Evaluation of a Web-Based Food Record for Children Using Direct Unobtrusive Lunch Observations: A Validation Study

Journals

  1. Paulsen M, Hagen M, Frøyen M, Foss-Pedersen R, Bergsager D, Tangvik R, Andersen L. A Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood App. JMIR mHealth and uHealth 2018;6(9):e175 View
  2. ENGEL R, ASSIS M, LOBO A, LEAL D, VIEIRA F, DI PIETRO P. Validation of the Online version of the Previous Day Food Questionnaire for schoolchildren. Revista de Nutrição 2017;30(5):627 View
  3. Eldridge A, Piernas C, Illner A, Gibney M, Gurinović M, de Vries J, Cade J. Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation. Nutrients 2018;11(1):55 View
  4. Medin A, Hansen B, Astrup H, Ekelund U, Frost Andersen L, de Souza R. Validation of energy intake from a web-based food recall for children and adolescents. PLOS ONE 2017;12(6):e0178921 View
  5. Conrad J, Koch S, Nöthlings U. New approaches in assessing food intake in epidemiology. Current Opinion in Clinical Nutrition & Metabolic Care 2018;21(5):343 View
  6. Jesus G, Assis M, Kupek E, Dias L. Avaliação da consistência de valores de peso, altura e índice de massa corporal no questionário Consumo Alimentar e Atividade Física de Escolares: o controle da qualidade da entrada de dados no sistema. Revista Brasileira de Epidemiologia 2017;20(4):573 View
  7. Béjar L, García-Perea M, Reyes Ó, Vázquez-Limón E. Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults. JMIR mHealth and uHealth 2019;7(4):e11531 View
  8. Timon C, Evans K, Kehoe L, Blain R, Flynn A, Gibney E, Walton J. Comparison of a Web-Based 24-h Dietary Recall Tool (Foodbook24) to an Interviewer-Led 24-h Dietary Recall. Nutrients 2017;9(5):425 View
  9. Medin A, Carlsen M, Andersen L. Associations between reported intakes of carotenoid-rich foods and concentrations of carotenoids in plasma: a validation study of a web-based food recall for children and adolescents. Public Health Nutrition 2016;19(18):3265 View
  10. Kupek E, de Assis M, Bellisle F, Lobo A. Validity of WebCAAFE questionnaire for assessment of schoolchildren’s dietary compliance with Brazilian Food Guidelines. Public Health Nutrition 2016;19(13):2347 View
  11. Medin A, Carlsen M, Andersen L. Iodine intake among children and adolescents in Norway: Estimates from the national dietary survey Ungkost 3 (2015-2016). Journal of Trace Elements in Medicine and Biology 2020;58:126427 View
  12. Fernandes Davies V, Kupek E, Faria Di Pietro P, Altenburg de Assis M, GK Vieira F, Perucchi C, Mafra R, Thompson D, Baranowski T. Qualitative Analysis of Cognitive Interviews With School Children: A Web-Based Food Intake Questionnaire. JMIR Public Health and Surveillance 2016;2(2):e167 View
  13. Jesus G, Assis M, Kupek E. Validade e reprodutibilidade de questionário baseado na Internet (Web-CAAFE) para avaliação do consumo alimentar de escolares de 7 a 15 anos. Cadernos de Saúde Pública 2017;33(5) View
  14. Béjar L, Reyes Ó, García-Perea M. Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records. JMIR mHealth and uHealth 2018;6(6):e10409 View
  15. Kupek E, de Assis M. The use of multiple imputation method for the validation of 24-h food recalls by part-time observation of dietary intake in school. British Journal of Nutrition 2016;116(5):904 View
  16. Kanter R, Gittelsohn J. Measuring Food Culture: a Tool for Public Health Practice. Current Obesity Reports 2020;9(4):480 View
  17. Freitas J, Crispim S, Araujo M. Development of a mobile application to assess Brazilian schoolchildren's diet: CADE – food consumption at home and at school. Journal of Nutritional Science 2022;11 View
  18. Tugault-Lafleur C, Black J, Barr S. A Systematic Review of Methods to Assess Children's Diets in the School Context. Advances in Nutrition 2017;8(1):63 View
  19. Béjar L. Weekend–Weekday Differences in Adherence to the Mediterranean Diet among Spanish University Students. Nutrients 2022;14(14):2811 View
  20. Lai L, Wong J. Accuracy of Reporting Food Intakes among Primary School Children Aged 7–9 Years. The Journal of Nutrition 2023;153(1):393 View
  21. Béjar L, García-Perea M, Mesa-Rodríguez P. Evaluation of an Application for Mobile Telephones (e-12HR) to Increase Adherence to the Mediterranean Diet in University Students: A Controlled, Randomized and Multicentric Study. Nutrients 2022;14(19):4196 View
  22. Mata J, Freitas J, Crispim S, Interlenghi G, Magno M, Ferreira D, Araujo M. Technological tools for assessing children's food intake: a scoping review. Journal of Nutritional Science 2023;12 View
  23. Paulsen M, Myhre J, Totland T, Andersen L. Discretionary foods and drinks in Norwegian children and adolescents’ diet: data from the national dietary survey Ungkost 3. Public Health Nutrition 2023;26(12):2629 View

Books/Policy Documents

  1. . Counseling and Psychotherapy Theories in Context and Practice. View