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Journal of Medical Internet Research

Citing this Article

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Published on 13.04.12 in Vol 14, No 2 (2012): Mar-Apr

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

Works citing "Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1967):

(note that this is only a small subset of citations)

  1. Panizza C, Boushey C, Delp E, Kerr D, Lim E, Gandhi K, Banna J. Characterizing Early Adolescent Plate Waste Using the Mobile Food Record. Nutrients 2017;9(2):93
    CrossRef
  2. Ashman A, Collins C, Brown L, Rae K, Rollo M. Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women. Nutrients 2017;9(1):73
    CrossRef
  3. Chen Y, Wong J, Ayob A, Othman N, Poh B. Can Malaysian Young Adults Report Dietary Intake Using a Food Diary Mobile Application? A Pilot Study on Acceptability and Compliance. Nutrients 2017;9(1):62
    CrossRef
  4. Bruening M, van Woerden I, Todd M, Brennhofer S, Laska MN, Dunton G. A Mobile Ecological Momentary Assessment Tool (devilSPARC) for Nutrition and Physical Activity Behaviors in College Students: A Validation Study. Journal of Medical Internet Research 2016;18(7):e209
    CrossRef
  5. Probst Y, Zammit G. Predictors for Reporting of Dietary Assessment Methods in Food-based Randomized Controlled Trials over a Ten-year Period. Critical Reviews in Food Science and Nutrition 2016;56(12):2069
    CrossRef
  6. Boushey CJ, Delp EJ, Ahmad Z, Wang Y, Roberts SM, Grattan LM. Dietary assessment of domoic acid exposure: What can be learned from traditional methods and new applications for a technology assisted device. Harmful Algae 2016;57:51
    CrossRef
  7. Ashman AM, Collins CE, Brown LJ, Rae KM, Rollo ME. A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation. JMIR mHealth and uHealth 2016;4(4):e123
    CrossRef
  8. Segovia-Siapco G, Sabaté J. Using Personal Mobile Phones to Assess Dietary Intake in Free-Living Adolescents: Comparison of Face-to-Face Versus Telephone Training. JMIR mHealth and uHealth 2016;4(3):e91
    CrossRef
  9. Bejar LM, Sharp BN, García-Perea MD. The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire. JMIR Research Protocols 2016;5(4):e208
    CrossRef
  10. Peterson CM, Apolzan JW, Wright C, Martin CK. Video chat technology to remotely quantify dietary, supplement and medication adherence in clinical trials. British Journal of Nutrition 2016;116(09):1646
    CrossRef
  11. Stanhope KL. Sugar consumption, metabolic disease and obesity: The state of the controversy. Critical Reviews in Clinical Laboratory Sciences 2016;53(1):52
    CrossRef
  12. Rollo ME, Williams RL, Burrows T, Kirkpatrick SI, Bucher T, Collins CE. What Are They Really Eating? A Review on New Approaches to Dietary Intake Assessment and Validation. Current Nutrition Reports 2016;5(4):307
    CrossRef
  13. Ahn Y, Bae J, Kim H. The development of a mobile u-Health program and evaluation for self-diet management for diabetic patients. Nutrition Research and Practice 2016;10(3):342
    CrossRef
  14. Turner T, Spruijt-Metz D, Wen CKF, Hingle MD. Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review. Pediatric Obesity 2015;10(6):403
    CrossRef
  15. Banna JC, Buchthal OV, Delormier T, Creed-Kanashiro HM, Penny ME. Influences on eating: a qualitative study of adolescents in a periurban area in Lima, Peru. BMC Public Health 2015;16(1)
    CrossRef
  16. Sun M, Burke L, Baranowski T, Fernstrom J, Zhang H, Chen H, Bai Y, Li Y, Li C, Yue Y, Li Z, Nie J, Sclabassi R, Mao Z, Jia W. An Exploratory Study on a Chest-Worn Computer for Evaluation of Diet, Physical Activity and Lifestyle. Journal of Healthcare Engineering 2015;6(1):1
    CrossRef
  17. Aflague T, Boushey C, Guerrero R, Ahmad Z, Kerr D, Delp E. Feasibility and Use of the Mobile Food Record for Capturing Eating Occasions among Children Ages 3–10 Years in Guam. Nutrients 2015;7(6):4403
    CrossRef
  18. Raatz SK, Scheett AJ, Johnson LK, Jahns L. Validity of Electronic Diet Recording Nutrient Estimates Compared to Dietitian Analysis of Diet Records: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(1):e21
    CrossRef
  19. Gemming L, Utter J, Ni Mhurchu C. Image-Assisted Dietary Assessment: A Systematic Review of the Evidence. Journal of the Academy of Nutrition and Dietetics 2015;115(1):64
    CrossRef
  20. Storey KE. A changing landscape. Current Opinion in Clinical Nutrition and Metabolic Care 2015;18(5):437
    CrossRef
  21. Rollo M, Ash S, Lyons-Wall P, Russell A. Evaluation of a Mobile Phone Image-Based Dietary Assessment Method in Adults with Type 2 Diabetes. Nutrients 2015;7(6):4897
    CrossRef
  22. Arens-Volland AG, Spassova L, Bohn T. Promising approaches of computer-supported dietary assessment and management—Current research status and available applications. International Journal of Medical Informatics 2015;84(12):997
    CrossRef
  23. Casperson SL, Sieling J, Moon J, Johnson L, Roemmich JN, Whigham L. A Mobile Phone Food Record App to Digitally Capture Dietary Intake for Adolescents in a Free-Living Environment: Usability Study. JMIR mHealth and uHealth 2015;3(1):e30
    CrossRef
  24. Fitt E, Cole D, Ziauddeen N, Pell D, Stickley E, Harvey A, Stephen AM. DINO (Diet In Nutrients Out) – an integrated dietary assessment system. Public Health Nutrition 2015;18(02):234
    CrossRef
  25. Rangan AM, O'Connor S, Giannelli V, Yap ML, Tang LM, Roy R, Louie JCY, Hebden L, Kay J, Allman-Farinelli M. Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls. JMIR mHealth and uHealth 2015;3(4):e98
    CrossRef
  26. Chung L, Law Q, Fong S, Chung J, Yuen P. A cost-effectiveness analysis of teledietetics in short-, intermediate-, and long-term weight reduction. Journal of Telemedicine and Telecare 2015;21(5):268
    CrossRef
  27. Boushey CJ, Harray AJ, Kerr DA, Schap TE, Paterson S, Aflague T, Bosch Ruiz M, Ahmad Z, Delp EJ. How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record. JMIR mHealth and uHealth 2015;3(2):e47
    CrossRef
  28. Hongu N, Pope BT, Bilgiç P, Orr BJ, Suzuki A, Kim AS, Merchant NC, Roe DJ. Usability of a smartphone food picture app for assisting 24-hour dietary recall: a pilot study. Nutrition Research and Practice 2015;9(2):207
    CrossRef
  29. Rabbi M, Pfammatter A, Zhang M, Spring B, Choudhury T. Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults. JMIR mHealth and uHealth 2015;3(2):e42
    CrossRef
  30. Gilmore LA, Duhé AF, Frost EA, Redman LM. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596
    CrossRef
  31. Sharp DB, Allman-Farinelli M. Feasibility and validity of mobile phones to assess dietary intake. Nutrition 2014;30(11-12):1257
    CrossRef
  32. Helander E, Kaipainen K, Korhonen I, Wansink B. Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study. Journal of Medical Internet Research 2014;16(4):e109
    CrossRef
  33. Chow CC, Hall KD. Short and long-term energy intake patterns and their implications for human body weight regulation. Physiology & Behavior 2014;134:60
    CrossRef
  34. Spook JE, Paulussen T, Kok G, Van Empelen P. Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool. Journal of Medical Internet Research 2013;15(9):e214
    CrossRef
  35. Gibney MJ, Walsh MC. The future direction of personalised nutrition: my diet, my phenotype, my genes. Proceedings of the Nutrition Society 2013;72(02):219
    CrossRef
  36. Gemming L, Doherty A, Kelly P, Utter J, Ni Mhurchu C. Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake. European Journal of Clinical Nutrition 2013;67(10):1095
    CrossRef
  37. da Costa FF, Schmoelz CP, Davies VF, Di Pietro PF, Kupek E, de Assis MAA. Assessment of Diet and Physical Activity of Brazilian Schoolchildren: Usability Testing of a Web-Based Questionnaire. JMIR Research Protocols 2013;2(2):e31
    CrossRef
  38. Taylor JC, Johnson RK. Farm to School as a strategy to increase children's fruit and vegetable consumption in the United States: Research and recommendations. Nutrition Bulletin 2013;38(1):70
    CrossRef
  39. Boeing H. Nutritional epidemiology: New perspectives for understanding the diet-disease relationship?. European Journal of Clinical Nutrition 2013;67(5):424
    CrossRef
  40. Derbyshire E, Dancey D. Smartphone Medical Applications for Women’s Health: What Is the Evidence-Base and Feedback?. International Journal of Telemedicine and Applications 2013;2013:1
    CrossRef
  41. Kerr DA, Pollard CM, Howat P, Delp EJ, Pickering M, Kerr KR, Dhaliwal SS, Pratt IS, Wright J, Boushey CJ. Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults. BMC Public Health 2012;12(1)
    CrossRef
  42. Burrows T, Golley RK, Khambalia A, McNaughton SA, Magarey A, Rosenkranz RR, Alllman-Farinelli M, Rangan AM, Truby H, Collins C. The quality of dietary intake methodology and reporting in child and adolescent obesity intervention trials: a systematic review. Obesity Reviews 2012;13(12):1125
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1967)

:
  1. Childhood Obesity. 2016. :431
    CrossRef