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

mHealth for Data Collection and Research (955) Mobile Health (mhealth) (2942)

Published on in Vol 3, No 4 (2015): Oct-Dec

A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study

A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study

A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study

Authors of this article:

Åsa Svensson1 Author Orcid Image ;   Christel Larsson2 Author Orcid Image
Article Authors Cited by (30) Tweetations Metrics

Journals

  1. 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
  2. Pendergast F, Leech R, McNaughton S. Novel Online or Mobile Methods to Assess Eating Patterns. Current Nutrition Reports 2017;6(3):212 View
  3. Do T, Le M, Van Nguyen T, Tran B, Le H, Nguyen H, Nguyen L, Nguyen C, Tran T, Latkin C, Ho R, Zhang M. Receptiveness and preferences of health-related smartphone applications among Vietnamese youth and young adults. BMC Public Health 2018;18(1) View
  4. 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
  5. Wang D, Wang P, Pan Y, Lan K, Zhang Y. Understanding the Rehabilitation Experience of Obese Patients After Bariatric Surgery in China: a Qualitative Study. Obesity Surgery 2021;31(1):428 View
  6. Spruijt-Metz D, Wen C, Bell B, Intille S, Huang J, Baranowski T. Advances and Controversies in Diet and Physical Activity Measurement in Youth. American Journal of Preventive Medicine 2018;55(4):e81 View
  7. 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
  8. Hurt R, McClave S. Nutritional Assessment in Primary Care. Medical Clinics of North America 2016;100(6):1169 View
  9. 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
  10. 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
  11. Svensson Å, Magnusson M, Larsson C. Overcoming Barriers: Adolescents’ Experiences Using a Mobile Phone Dietary Assessment App. JMIR mHealth and uHealth 2016;4(3):e92 View
  12. Elazhary H. Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research directions. Journal of Network and Computer Applications 2019;128:105 View
  13. Menson W, Olawepo J, Bruno T, Gbadamosi S, Nalda N, Anyebe V, Ogidi A, Onoka C, Oko J, Ezeanolue E. Reliability of Self-Reported Mobile Phone Ownership in Rural North-Central Nigeria: Cross-Sectional Study. JMIR mHealth and uHealth 2018;6(3):e50 View
  14. 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
  15. Zhang L, Misir A, Boshuizen H, Ocké M. A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps. Advances in Nutrition 2021;12(6):2321 View
  16. Davies A, Shi Y, Bauman A, Allman-Farinelli M. Validity of New Technologies That Measure Bone-Related Dietary and Physical Activity Risk Factors in Adolescents and Young Adults: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(11):5688 View
  17. Kusuma J, Yang H, Yang Y, Chen Z, Shiao S. Validating Accuracy of a Mobile Application against Food Frequency Questionnaire on Key Nutrients with Modern Diets for mHealth Era. Nutrients 2022;14(3):537 View
  18. Long Z, Huang S, Zhang J, Zhang D, Yin J, He C, Zhang Q, Xu H, He H, Sun H, Xie K. A Digital Smartphone-Based Self-administered Tool (R+ Dietitian) for Nutritional Risk Screening and Dietary Assessment in Hospitalized Patients With Cancer: Evaluation and Diagnostic Accuracy Study. JMIR Formative Research 2022;6(10):e40316 View
  19. Lam C, Milne-Ives M, Harrington R, Jani A, Helena van Velthoven M, Harding T, Meinert E, Mulvaney S. Internet of things–Enabled technologies as an intervention for childhood obesity: A systematic review. PLOS Digital Health 2022;1(4):e0000024 View
  20. Locks L, Shah M, Bhaise S, Hibberd P, Patel A. Assessing the Diets of Young Children and Adolescents in India: Challenges and Opportunities. Frontiers in Pediatrics 2022;10 View
  21. Mönninghoff A, Fuchs K, Wu J, Albert J, Mayer S. The Effect of a Future-Self Avatar Mobile Health Intervention (FutureMe) on Physical Activity and Food Purchases: Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(7):e32487 View
  22. Peart D, Briggs M, Shaw M. Mobile applications for the sport and exercise nutritionist: a narrative review. BMC Sports Science, Medicine and Rehabilitation 2022;14(1) View
  23. 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
  24. Béjar L. Weekend–Weekday Differences in Adherence to the Mediterranean Diet among Spanish University Students. Nutrients 2022;14(14):2811 View
  25. Nguyen P, Tran L, Hoang N, Trương D, Tran T, Huynh P, Koch B, McCloskey P, Gangupantulu R, Folson G, Bannerman B, Arrieta A, Braga B, Arsenault J, Kehs A, Doyle F, Hughes D, Gelli A. Relative validity of a mobile AI-technology–assisted dietary assessment in adolescent females in Vietnam. The American Journal of Clinical Nutrition 2022;116(4):992 View
  26. Folson G, Bannerman B, Atadze V, Ador G, Kolt B, McCloskey P, Gangupantulu R, Arrieta A, Braga B, Arsenault J, Kehs A, Doyle F, Tran L, Hoang N, Hughes D, Nguyen P, Gelli A. Validation of Mobile Artificial Intelligence Technology–Assisted Dietary Assessment Tool Against Weighed Records and 24-Hour Recall in Adolescent Females in Ghana. The Journal of Nutrition 2023;153(8):2328 View
  27. Gelli A, Nwabuikwu O, Bannerman B, Ador G, Atadze V, Asante M, Bempong S, McCloskey P, Nguyen P, Hughes D, Folson G. Computer vision–assisted dietary assessment through mobile phones in female youth in urban Ghana: validity against weighed records and comparison with 24-h recalls. The American Journal of Clinical Nutrition 2024;120(5):1105 View

Books/Policy Documents

  1. Cui Y, Balshaw D. Unraveling the Exposome. View
  2. Fontana J, Farooq M, Sazonov E. Wearable Sensors. View