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

JMIR mHealth and uHealth

Volumn 3, Issue 2, 2015, Pages

  Boushey, Carol Jo ^a   Harray, Amelia J ^b   Diet, Grad Dip ^g   Kerr, Deborah Anne ^b   Schap, TusaRebecca E ^c   Paterson, Stacey ^d   Aflague, Tanisha ^a   Ruiz, Marc Bosch ^e   Ahmad, Ziad ^f   Delp, Edward J ^f  

^a UNIVERSITY OF HAWAII CANCER CENTER   (United States)

^b CURTIN UNIVERSITY   (Australia)

^c NATIONAL CANCER INSTITUTE   (United States)

^d UNIVERSITY OF KENTUCKY   (United States)

^e QUALCOMM INC   (United States)

^f Purdue University   (United States)

^g NONE

Author keywords

Adolescents; Children; Dietary assessment; Mobile food record; Novel technology

Indexed keywords

EID: 84944689306     PISSN: None     EISSN: 22915222     Source Type: Journal    
DOI: 10.2196/mhealth.4087     Document Type: Article

References (31)

1. Burrows TL, Martin RJ, Collins CE. A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labeled water. J Am Diet Assoc 2010 Oct;110(10):1501-1510. [doi: 10.1016/j.jada.2010.07.008] [Medline: 20869489].
2. Bandini LG, Must A, Cyr H, Anderson SE, Spadano JL, Dietz WH. Longitudinal changes in the accuracy of reported energy intake in girls 10-15 y of age. Am J Clin Nutr 2003 Sep;78(3):480-484 [FREE Full text] [Medline: 12936932].
3. Champagne CM, Baker NB, DeLany JP, Harsha DW, Bray GA. Assessment of energy intake underreporting by doubly labeled water and observations on reported nutrient intakes in children. J Am Diet Assoc 1998 Apr;98(4):426-433. [doi: 10.1016/S0002-8223(98)00097-2] [Medline: 9550166].
4. Livingstone MB, Prentice AM, Coward WA, Strain JJ, Black AE, Davies PS, et al. Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents. Am J Clin Nutr 1992 Jul;56(1):29-35 [FREE Full text] [Medline: 1609757].
5. Boushey CJ, Kerr DA, Wright J, Lutes JD, Ebert DS, Delp EJ. Use of technology in children's dietary assessment. Eur J Clin Nutr 2009 Feb;63(Suppl 1):S50-S57 [FREE Full text] [doi: 10.1038/ejcn.2008.65] [Medline: 19190645].
6. Anderson J, Raine L. Main findings: Teen, technology, and human potential in 2020. Washington, DC: Pew Research Center; 2012 Feb 29. URL: Http://www.pewinternet.org/2012/02/29/main-findings-teens-technology-and-human-potential-in-2020/[accessed 2014-11-27] [WebCite Cache ID 6UO0PC1wl].
7. Purcell K, Buchanan J, Friedrich L. The Impact of Digital Tools on Student Writing and How Writing is Taught in Schools. Washington, DC: Pew Research Center; 2013 Jul 16. URL: Http://www.pewinternet.org/2013/07/16/the-impact-of-digital-tools-on-student-writing-and-how-writing-is-taught-in-schools/[accessed 2014-11-14] [WebCite Cache ID 6U4a1F4rE].
8. Schap TE, Zhu F, Delp EJ, Boushey CJ. Merging dietary assessment with the adolescent lifestyle. J Hum Nutr Diet 2014 Jan;27(Suppl 1):82-88 [FREE Full text] [doi: 10.1111/jhn.12071] [Medline: 23489518].
9. Zhu F, Bosch M, Khanna N, Boushey CJ, Delp EJ. Multilevel segmentation for food classification in dietary assessment. Proc Int Symp Image Signal Process Anal 2011 Sep 04:337-342 [FREE Full text] [Medline: 22127051].
10. He Y, Xu C, Khanna N, Boushey CJ, Delp EJ. Analysis of Food Images: Features and Classification. New York: IEEE; 2014 Presented at: Proceedings of the IEEE International Conference on Image Processing October; Oct 27-30, 2014; Paris, France p. 2744-2748. [doi: 10.1109/ICIP.2014.7025555].
11. Zhu F, Bosch M, Woo I, Kim S, Boushey CJ, Ebert DS, et al. The use of mobile devices in aiding dietary assessment and evaluation. IEEE J Sel Top Signal Process 2010 Aug;4(4):756-766 [FREE Full text] [doi: 10.1109/JSTSP.2010.2051471] [Medline: 20862266].
12. Mariappan A, Bosch M, Zhu F, Boushey CJ, Kerr DA, Ebert DS, et al. Personal dietary assessment using mobile devices. Proc SPIE Int Soc Opt Eng 2009 Jan 1;7246:72460Z [FREE Full text] [doi: 10.1117/12.813556] [Medline: 21660219].
13. Lee CD, Chae J, Schap TE, Kerr DA, Delp EJ, Ebert DS, et al. Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size. J Diabetes Sci Technol 2012 Mar;6(2):428-434 [FREE Full text] [Medline: 22538157].
14. Xu C, He Y, Khanna N, Boushey CJ, Delp EJ. Model-based food volume estimation using 3d pose. New York: IEEE; 2013 Presented at: Proceedings of the IEEE International Conference on Image Processing; 2013; Melbourne, Victoria p. 2534-2538. [doi: 10.1109/ICIP.2013.6738522].
15. Chae J, Woo I, Kim S, Maciejewski R, Zhu F, Delp EJ, et al. Volume estimation using food specific shape templates in mobile image-based dietary assessment. Proc SPIE Int Soc Opt Eng 2011 Feb 7;7873:78730K [FREE Full text] [doi: 10.1117/12.876669] [Medline: 22025936].
16. Xu C, Zhu F, Khanna N, Boushey CJ, Delp EJ. Image enhancement and quality measures for dietary assessment using mobile devices. Bellingham, WA: SPIE; 2012 Feb 09 Presented at: Proceedings of the IS&T/SPIE Conference on Computational Imaging X; 9 Feb, 2012; Burlingame, CA. [doi: 10.1117/12.909949].
17. Boushey CJ, Kerr DA, Schap TE, Daugherty BL. Importance of user interaction with automated dietary assessment methods. Eur J Clin Nutr 2012 May;66(5):648. [doi: 10.1038/ejcn.2012.14] [Medline: 22333872].
18. Schap TE, Six BL, Delp EJ, Ebert DS, Kerr DA, Boushey CJ. Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions. Public Health Nutr 2011 Jul;14(7):1184-1191 [FREE Full text] [doi: 10.1017/S1368980010003794] [Medline: 21324224].
19. Lenhart A, Ling R, Campbell S, Purcell K. Teens and Mobile Phones. Washington, DC: Pew Research Center; 2010 AprURL: Http://www.pewinternet.org/2010/04/20/teens-and-mobile-phones/[accessed 2014-11-14] [WebCite Cache ID 6U4c13lW2].
20. Madden M, Lenhart A, Duggan M, Cortesi S, Gasser U. Teens and Technology 2013. Washington, DC: Pew Research Center; 2013 Mar 13. URL: Http://www.pewinternet.org/2013/03/13/teens-and-technology-2013/[accessed 2014-11-14] [WebCite Cache ID 6U4cBs7bo].
21. Frøisland DH, Arsand E, Skårderud F. Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: Mixed-methods study. J Med Internet Res 2012;14(4):e111 [FREE Full text] [doi: 10.2196/jmir.2155] [Medline: 22868871].
22. Dennison L, Morrison L, Conway G, Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: Qualitative study. J Med Internet Res 2013;15(4):e86 [FREE Full text] [doi: 10.2196/jmir.2583] [Medline: 23598614].
23. Palacios C, Martin BR, McCabe GP, McCabe L, Peacock M, Weaver CM. Dietary calcium requirements do not differ between Mexican-American boys and girls. J Nutr 2014 Aug;144(8):1167-1173. [doi: 10.3945/jn.113.188318] [Medline: 24872223].
24. Creswell JW, Fetters MD, Ivankova NV. Designing a mixed methods study in primary care. Ann Fam Med 2004;2(1):7-12 [FREE Full text] [Medline: 15053277].
25. Henry H, Reicks M, Smith C, Reimer K, Atwell J, Thomas R. Identification of factors affecting purchasing and preparation of fruit and vegetables by stage of change for low-income African American mothers using the think-aloud method. J Am Diet Assoc 2003 Dec;103(12):1643-1646. [doi: 10.1016/j.jada.2003.09.039] [Medline: 14647093].
26. Six BL, Schap TE, Zhu FM, Mariappan A, Bosch M, Delp EJ, et al. Evidence-based development of a mobile telephone food record. J Am Diet Assoc 2010 Jan;110(1):74-79 [FREE Full text] [doi: 10.1016/j.jada.2009.10.010] [Medline: 20102830].
27. Daugherty BL, Schap TE, Ettienne-Gittens R, Zhu FM, Bosch M, Delp EJ, et al. Novel technologies for assessing dietary intake: Evaluating the usability of a mobile telephone food record among adults and adolescents. J Med Internet Res 2012;14(2):e58 [FREE Full text] [doi: 10.2196/jmir.1967] [Medline: 22504018].
28. Baranowski T, Baranowski J, Thompson D, Buday R, Jago R, Griffith MJ, et al. Video game play, child diet, and physical activity behavior change a randomized clinical trial. Am J Prev Med 2011 Jan;40(1):33-38 [FREE Full text] [doi: 10.1016/j.amepre.2010.09.029] [Medline: 21146765].
29. Kerr DA, Pollard CM, Howat P, Delp EJ, Pickering M, Kerr KR, et al. 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;12:477 [FREE Full text] [doi: 10.1186/1471-2458-12-477] [Medline: 22726532].
30. Xu C, Khanna N, Boushey CJ, Delp EJ. Low complexity image quality measures for dietary assessment using mobile devices. New York: IEEE; 2011 Presented at: 2011 IEEE International Symposium on Multimedia; 5-7 Dec, 2011; Dana Point, CA p. 351-356. [doi: 10.1109/ISM.2011.64].
31. Nicklas TA, O'Neil CE, Stuff J, Goodell LS, Liu Y, Martin CK. Validity and feasibility of a digital diet estimation method for use with preschool children: A pilot study. J Nutr Educ Behav 2012;44(6):618-623 [FREE Full text] [doi: 10.1016/j.jneb.2011.12.001] [Medline: 22727939].