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Citing this Article

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Published on 29.05.15 in Vol 3, No 2 (2015): Apr-Jun

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

Works citing "How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record"

Carol Jo Boushey, Amelia J Harray, Deborah Anne Kerr, TusaRebecca E. Schap, Stacey Paterson, Tanisha Aflague, Marc Bosch Ruiz, Ziad Ahmad, Edward J Delp

JMIR Mhealth Uhealth 2015 (May 29); 3(2):e47 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4087):

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

  1. Ahmed M, Oh A, Vanderlee L, Franco-Arellano B, Schermel A, Lou W, L’Abbé MR. A randomized controlled trial examining consumers’ perceptions and opinions on using different versions of a FoodFlip© smartphone application for delivery of nutrition information. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1)
    CrossRef
  2. Boushey CJ, Spoden M, Zhu FM, Delp EJ, Kerr DA. New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods. Proceedings of the Nutrition Society 2017;76(3):283
    CrossRef
  3. Polfuss M, Moosreiner A, Boushey C, Delp E, Zhu F. Technology-Based Dietary Assessment in Youth with and Without Developmental Disabilities. Nutrients 2018;10(10):1482
    CrossRef
  4. White BK, Burns SK, Giglia RC, Scott JA. Designing evaluation plans for health promotion mHealth interventions: a case study of the Milk Man mobile app. Health Promotion Journal of Australia 2016;27(3):198
    CrossRef
  5. Boushey C, Spoden M, Delp E, Zhu F, Bosch M, Ahmad Z, Shvetsov Y, DeLany J, Kerr D. Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults. Nutrients 2017;9(3):312
    CrossRef
  6. Chib A, Lin SH. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909
    CrossRef
  7. 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
  8. Kim SU, Martinović I, Katavić SS. The use of mobile devices and applications for health information: A survey of Croatian students. Journal of Librarianship and Information Science 2020;52(3):880
    CrossRef
  9. Halse RE, Shoneye CL, Pollard CM, Jancey J, Scott JA, Pratt IS, Dhaliwal SS, Norman R, Straker LM, Boushey CJ, Delp EJ, Zhu F, Harray AJ, Szybiak MA, Finch A, McVeigh JA, Mullan B, Collins CE, Mukhtar SA, Edwards KN, Healy JD, Kerr DA. Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial. JMIR Research Protocols 2019;8(2):e12782
    CrossRef
  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
    CrossRef
  11. 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
  12. Bereznay M, Kopp C, Nyakwol A, Howe CJ. Promoting Food Literacy in Teens. Journal of Pediatric Nursing 2019;47:171
    CrossRef
  13. Beltran A, Dadabhoy H, Ryan C, Dholakia R, Jia W, Baranowski J, Sun M, Baranowski T. Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2144
    CrossRef
  14. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
    CrossRef
  15. Badawy SM, Thompson AA, Liem RI. Technology Access and Smartphone App Preferences for Medication Adherence in Adolescents and Young Adults With Sickle Cell Disease. Pediatric Blood & Cancer 2016;63(5):848
    CrossRef
  16. Kerr DA, Harray AJ, Pollard CM, Dhaliwal SS, Delp EJ, Howat PA, Pickering MR, Ahmad Z, Meng X, Pratt IS, Wright JL, Kerr KR, Boushey CJ. The connecting health and technology study: a 6-month randomized controlled trial to improve nutrition behaviours using a mobile food record and text messaging support in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  17. Ahn JS, Song S, Moon S, Kim S, Lee JE. The Perception of Laymen and Experts Toward Mobile Applications for Self-monitoring of Diet Based on in-depth Interviews and Focus Group Interviews. Korean Journal of Community Nutrition 2018;23(3):202
    CrossRef
  18. Harray AJ, Boushey CJ, Pollard CM, Panizza CE, Delp EJ, Dhaliwal SS, Kerr DA. Perception v. actual intakes of junk food and sugar-sweetened beverages in Australian young adults: assessed using the mobile food record. Public Health Nutrition 2017;20(13):2300
    CrossRef
  19. 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
    CrossRef
  20. Dunn CG, Turner-McGrievy GM, Wilcox S, Hutto B. Dietary Self-Monitoring Through Calorie Tracking but Not Through a Digital Photography App Is Associated with Significant Weight Loss: The 2SMART Pilot Study—A 6-Month Randomized Trial. Journal of the Academy of Nutrition and Dietetics 2019;119(9):1525
    CrossRef
  21. Spruijt-Metz D, Wen CKF, O’Reilly G, Li M, Lee S, Emken BA, Mitra U, Annavaram M, Ragusa G, Narayanan S. Innovations in the Use of Interactive Technology to Support Weight Management. Current Obesity Reports 2015;4(4):510
    CrossRef
  22. Ziesemer K, König LM, Boushey CJ, Villinger K, Wahl DR, Butscher S, Müller J, Reiterer H, Schupp HT, Renner B. Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies. JMIR mHealth and uHealth 2020;8(10):e15430
    CrossRef
  23. 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
  24. Thompson FE, Kirkpatrick SI, Subar AF, Reedy J, Schap TE, Wilson MM, Krebs-Smith SM. The National Cancer Institute’s Dietary Assessment Primer: A Resource for Diet Research. Journal of the Academy of Nutrition and Dietetics 2015;115(12):1986
    CrossRef
  25. Kerr D, Dhaliwal S, Pollard C, Norman R, Wright J, Harray A, Shoneye C, Solah V, Hunt W, Zhu F, Delp E, Boushey C. BMI is Associated with the Willingness to Record Diet  with  a  Mobile  Food  Record  among  Adults  Participating in Dietary Interventions. Nutrients 2017;9(3):244
    CrossRef
  26. Amoutzopoulos B, Steer T, Roberts C, Cade JE, Boushey CJ, Collins CE, Trolle E, Boer EJD, Ziauddeen N, van Rossum C, Buurma E, Coyle D, Page P. Traditional methodsv.new technologies – dilemmas for dietary assessment in large-scale nutrition surveys and studies: a report following an international panel discussion at the 9th International Conference on Diet and Activity Methods (ICDAM9), Brisbane, 3 September 2015. Journal of Nutritional Science 2018;7
    CrossRef
  27. Hezarjaribi N, Mazrouee S, Hemati S, Chaytor NS, Perrigue M, Ghasemzadeh H. Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. ACM Transactions on Interactive Intelligent Systems 2019;9(4):1
    CrossRef
  28. Wagner KA, Braun E, Armah SM, Horan D, Smith LG, Pike J, Tu W, Hamilton MT, Delp EJ, Campbell WW, Boushey CJ, Hannon TS, Gletsu-Miller N. Dietary Intervention for Glucose Tolerance In Teens (DIG IT): Protocol of a randomized controlled trial using health coaching to prevent youth-onset type 2 diabetes. Contemporary Clinical Trials 2017;53:171
    CrossRef
  29. Bathgate K, Sherriff J, Leonard H, Dhaliwal S, Delp E, Boushey C, Kerr D. Feasibility of Assessing Diet with a Mobile Food  Record for Adolescents and Young Adults with  Down Syndrome. Nutrients 2017;9(3):273
    CrossRef
  30. Shoneye C, Dhaliwal S, Pollard C, Boushey C, Delp E, Harray A, Howat P, Hutchesson M, Rollo M, Zhu F, Wright J, Pratt I, Jancey J, Halse R, Scott J, Mullan B, Collins C, Kerr D. Image-Based Dietary Assessment and Tailored Feedback Using Mobile Technology: Mediating Behavior Change in Young Adults. Nutrients 2019;11(2):435
    CrossRef
  31. Höchsmann C, Martin CK. Review of the validity and feasibility of image-assisted methods for dietary assessment. International Journal of Obesity 2020;44(12):2358
    CrossRef
  32. Szymczak H, Keller L, Debbeler LJ, Kollmann J, Lages NC, Sproesser G, Gollwitzer PM, Schupp HT, Renner B. “I’m eating healthy now”: The relationship between perceived behavior change and diet. Food Quality and Preference 2021;89:104142
    CrossRef
  33. Ploderer B, Rezaei Aghdam A, Burns K. Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review. Journal of Medical Internet Research 2022;24(4):e28867
    CrossRef
  34. Hattab S, Badrasawi M, Anabtawi O, Zidan S. Development and validation of a smartphone image-based app for dietary intake assessment among Palestinian undergraduates. Scientific Reports 2022;12(1)
    CrossRef
  35. Rounak , Pratiksha , Mrunal , Shweta . IoT Based Food Monitoring System. International Journal of Advanced Research in Science, Communication and Technology 2022;:323
    CrossRef
  36. Saronga N, Mosha IH, Stewart SJ, Bakar S, Sunguya BF, Burrows TL, Leyna GH, Adam MTP, Collins CE, Rollo ME. A Mixed-Method Study Exploring Experiences and Perceptions of Nutritionists Regarding Use of an Image-Based Dietary Assessment System in Tanzania. Nutrients 2022;14(3):417
    CrossRef
  37. Lee H, Huang T, Yen L, Wu P, Chen K, Kung H, Liu C, Hsu C. Precision Nutrient Management Using Artificial Intelligence Based on Digital Data Collection Framework. Applied Sciences 2022;12(9):4167
    CrossRef
  38. Caon M, Prinelli F, Angelini L, Carrino S, Mugellini E, Orte S, Serrano JCE, Atkinson S, Martin A, Adorni F. PEGASO e-Diary: User Engagement and Dietary Behavior Change of a Mobile Food Record for Adolescents. Frontiers in Nutrition 2022;9
    CrossRef
  39. König LM, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4087):

  1. Tilzey SE, Stephens TN, Patel SG, Bunge EL. The Encyclopedia of Child and Adolescent Development. 2020. :1
    CrossRef
  2. Thompson FE, Subar AF. Nutrition in the Prevention and Treatment of Disease. 2017. :5
    CrossRef
  3. Caon M, Carrino S, Prinelli F, Ciociola V, Adorni F, Lafortuna C, Tabozzi S, Serrano J, Condon L, Khaled OA, Mugellini E. New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops. 2015. Chapter 51:417
    CrossRef
  4. Johnson RK, Kerr DA, Schap TE. Nutrition in the Prevention and Treatment of Disease. 2017. :167
    CrossRef