This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (955) Mobile Health (mhealth) (2941) Research Instruments, Questionnaires, and Tools (576) Instruments and Questionnaires for Nutrition and Food Intake (166)

Published on in Vol 3, No 2 (2015): Apr-Jun

A New Mobile Phone-Based Tool for Assessing Energy and Certain Food Intakes in Young Children: A Validation Study

A New Mobile Phone-Based Tool for Assessing Energy and Certain Food Intakes in Young Children: A Validation Study

A New Mobile Phone-Based Tool for Assessing Energy and Certain Food Intakes in Young Children: A Validation Study

Authors of this article:

Hanna Henriksson1, 2 Author Orcid Image ;   Stephanie E Bonn3 Author Orcid Image ;   Anna Bergström4 Author Orcid Image ;   Katarina Bälter3 Author Orcid Image ;   Olle Bälter5 Author Orcid Image ;   Christine Delisle2 Author Orcid Image ;   Elisabet Forsum1 Author Orcid Image ;   Marie Löf1, 2 Author Orcid Image
Article Authors Cited by (18) Tweetations (3) Metrics

Journals

  1. 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
  2. Wang J, Hsieh R, Tung Y, Chen Y, Yang C, Chen Y. Evaluation of a Technological Image-Based Dietary Assessment Tool for Children during Pubertal Growth: A Pilot Study. Nutrients 2019;11(10):2527 View
  3. Warren J, Guelinckx I, Livingstone B, Potischman N, Nelson M, Foster E, Holmes B. Challenges in the assessment of total fluid intake in children and adolescents: a discussion paper. European Journal of Nutrition 2018;57(S3):43 View
  4. Burrows T, Goldman S, Rollo M. A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labelled water. European Journal of Clinical Nutrition 2020;74(5):669 View
  5. 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
  6. Steinemann N, Grize L, Ziesemer K, Kauf P, Probst-Hensch N, Brombach C. Relative validation of a food frequency questionnaire to estimate food intake in an adult population. Food & Nutrition Research 2017;61(1):1305193 View
  7. Béjar L. First evaluation steps of a new method for dietary intake estimation regarding a list of key food groups in adults and in different sociodemographic and health-related behaviour strata. Public Health Nutrition 2017;20(15):2660 View
  8. Kouvari M, Mamalaki E, Bathrellou E, Poulimeneas D, Yannakoulia M, Panagiotakos D. The validity of technology-based dietary assessment methods in childhood and adolescence: a systematic review. Critical Reviews in Food Science and Nutrition 2021;61(7):1065 View
  9. Delisle Nyström C, Forsum E, Henriksson H, Trolle-Lagerros Y, Larsson C, Maddison R, Timpka T, Löf M. A Mobile Phone Based Method to Assess Energy and Food Intake in Young Children: A Validation Study against the Doubly Labelled Water Method and 24 h Dietary Recalls. Nutrients 2016;8(1):50 View
  10. Costello N, Deighton K, Dyson J, Mckenna J, Jones B. Snap‐N‐Send: A valid and reliable method for assessing the energy intake of elite adolescent athletes. European Journal of Sport Science 2017;17(8):1044 View
  11. Lora K, Davy B, Hedrick V, Ferris A, Anderson M, Wakefield D. Assessing Initial Validity and Reliability of a Beverage Intake Questionnaire in Hispanic Preschool-Aged Children. Journal of the Academy of Nutrition and Dietetics 2016;116(12):1951 View
  12. 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
  13. Bejar L, Sharp B, García-Perea M. The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire. JMIR Research Protocols 2016;5(4):e208 View
  14. Reddy P, Dukhi N, Sewpaul R, Ellahebokus M, Kambaran N, Jobe W. Mobile Health Interventions Addressing Childhood and Adolescent Obesity in Sub-Saharan Africa and Europe: Current Landscape and Potential for Future Research. Frontiers in Public Health 2021;9 View
  15. Sasaki Y, Sato K, Kobayashi S, Asakura K. Nutrient and Food Group Prediction as Orchestrated by an Automated Image Recognition System in a Smartphone App (CALO mama): Validation Study. JMIR Formative Research 2022;6(1):e31875 View
  16. 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
  17. Mehranfar S, Jalilpiran Y, Jafari A, Jayedi A, Shab‐bidar S, Speakman J, Djafarian K. Validity of dietary assessment methods compared with doubly labeled water in children: A systematic review and meta‐analysis. Obesity Reviews 2024;25(9) View