A mobile phone app intervention targeting fruit and vegetable consumption:the efficacy of textual and auditory tailored health information tested in a randomized controlled trial

Journal of Medical Internet Research

Volumn 18, Issue 6, 2016, Pages

  Elbert, Sarah Pietertje ^a   Dijkstra, Arie ^a   Oenema, Anke ^b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Audio; Communication modality; Fruit and vegetable intake; Health behavior; Intervention study; Mobile phone app; Persuasive communication

Indexed keywords

ADOLESCENT; ADULT; AGED; CONTROLLED STUDY; FEMALE; FRUIT; HEALTH BEHAVIOR; HEALTH EDUCATION; HUMAN; INTERNET; INTERPERSONAL COMMUNICATION; MALE; MIDDLE AGED; MOBILE APPLICATION; MOBILE PHONE; PROCEDURES; RANDOMIZED CONTROLLED TRIAL; VEGETABLE; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; CELL PHONES; COMMUNICATION; FEMALE; FRUIT; HEALTH BEHAVIOR; HEALTH EDUCATION; HUMANS; INTERNET; MALE; MIDDLE AGED; MOBILE APPLICATIONS; VEGETABLES; YOUNG ADULT;

EID: 84977481615     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.5056     Document Type: Article

References (62)

1. Essany M. mHealthWatch. 2013 Apr 15. Mobile health care apps growing fast in number URL: http://mhealthwatch.com/mobile-health-care-apps-growing-fast-in-number-20052/[accessed 2016-02-15] [WebCite Cache ID 6fJe1tsEE]
2. Misra S. iMedicalApps. 2015 Sep 17. New report finds more than 165, 000 mobile health apps now available, takes close look at characteristics and use URL: http://www.imedicalapps.com/2015/09/ims-health-apps-report/[WebCite Cache ID 6hZikREi8]
3. Donker T, Petrie K, Proudfoot J, Clarke J, Birch M, Christensen H. Smartphones for smarter delivery of mental health programs: a systematic review. J Med Internet Res 2013;15(11):e247 [FREE Full text] [doi: 10.2196/jmir.2791] [Medline: 24240579]
4. Hebden L, Cook A, van der Ploeg HP, Allman-Farinelli M. Development of smartphone applications for nutrition and physical activity behavior change. JMIR Res Protoc 2012;1(2):e9 [FREE Full text] [doi: 10.2196/resprot.2205] [Medline: 23611892]
5. 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]
6. Payne HE, Lister C, West JH, Bernhardt JM. Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR Mhealth Uhealth 2015;3(1):e20 [FREE Full text] [doi: 10.2196/mhealth.3335] [Medline: 25803705]
7. Wiederhold BK. Behavioral health apps abundant, but evidence-based research nearly nonexistent. Cyberpsychol Behav Soc Netw 2015 Jun;18(6):309-310. [doi: 10.1089/cyber.2015.29001.bkw] [Medline: 26075916]
8. Brindal E, Hendrie G, Freyne J, Coombe M, Berkovsky S, Noakes M. Design and pilot results of a mobile phone weight-loss application for women starting a meal replacement programme. J Telemed Telecare 2013 Mar 21:e1. [doi: 10.1177/1357633X13479702] [Medline: 23520213]
9. Cowan LT, Van Wagenen SA, Brown BA, Hedin RJ, Seino-Stephan Y, Hall PC, et al. Apps of steel: are exercise apps providing consumers with realistic expectations?: a content analysis of exercise apps for presence of behavior change theory. Health Educ Behav 2013 Apr;40(2):133-139. [doi: 10.1177/1090198112452126] [Medline: 22991048]
10. Glynn LG, Hayes PS, Casey M, Glynn F, Alvarez-Iglesias A, Newell J, et al. Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial. Br J Gen Pract 2014 Jul;64(624):e384-e391. [doi: 10.3399/bjgp14X680461] [Medline: 24982490]
11. Lee W, Chae YM, Kim S, Ho SH, Choi I. Evaluation of a mobile phone-based diet game for weight control. J Telemed Telecare 2010;16(5):270-275. [doi: 10.1258/jtt.2010.090913] [Medline: 20558620]
12. Brug J, Oenema A, Kroeze W, Raat H. The internet and nutrition education: challenges and opportunities. Eur J Clin Nutr 2005 Aug;59 Suppl 1:S130-S137; discussion S138. [doi: 10.1038/sj.ejcn.1602186] [Medline: 16052181]
13. Middelweerd A, Mollee JS, van der Wal CN, Brug J, te Velde SJ. Apps to promote physical activity among adults: a review and content analysis. Int J Behav Nutr Phys Act 2014;11:97 [FREE Full text] [doi: 10.1186/s12966-014-0097-9] [Medline: 25059981]
14. Soetens KC, Vandelanotte C, de Vries H, Mummery KW. Using online computer tailoring to promote physical activity: a randomized trial of text, video, and combined intervention delivery modes. J Health Commun 2014 Dec;19(12):1377-1392. [doi: 10.1080/10810730.2014.894597] [Medline: 24749983]
15. Stanczyk N, Bolman C, van Adrichem M, Candel M, Muris J, de Vries H. Comparison of text and video computer-tailored interventions for smoking cessation: randomized controlled trial. J Med Internet Res 2014;16(3):e69 [FREE Full text] [doi: 10.2196/jmir.3016] [Medline: 24589938]
16. Connell D, Goldberg JP, Folta SC. An intervention to increase fruit and vegetable consumption using audio communications: in-store public service announcements and audiotapes. J Health Commun 2001;6(1):31-43. [doi: 10.1080/10810730150501396] [Medline: 11317422]
17. Dijkstra A. Working mechanisms of computer-tailored health education: evidence from smoking cessation. Health Educ Res 2005 Oct;20(5):527-539 [FREE Full text] [doi: 10.1093/her/cyh014] [Medline: 15701665]
18. Hawkins RP, Kreuter M, Resnicow K, Fishbein M, Dijkstra A. Understanding tailoring in communicating about health. Health Educ Res 2008 Jun;23(3):454-466 [FREE Full text] [doi: 10.1093/her/cyn004] [Medline: 18349033]
19. Lustria ML, Noar SM, Cortese J, Van Stee SK, Glueckauf RL, Lee J. A meta-analysis of web-delivered tailored health behavior change interventions. J Health Commun 2013;18(9):1039-1069. [doi: 10.1080/10810730.2013.768727] [Medline: 23750972]
20. Oenema A, Brug J, Dijkstra A, de Weerdt I, de Vries H. Efficacy and use of an internet-delivered computer-tailored lifestyle intervention, targeting saturated fat intake, physical activity and smoking cessation: a randomized controlled trial. Ann Behav Med 2008 Apr;35(2):125-135. [doi: 10.1007/s12160-008-9023-1] [Medline: 18363076]
21. Alley S, Jennings C, Persaud N, Plotnikoff RC, Horsley M, Vandelanotte C. Do personally tailored videos in a web-based physical activity intervention lead to higher attention and recall?-an eye-tracking study. Front Public Health 2014;2:13 [FREE Full text] [doi: 10.3389/fpubh.2014.00013] [Medline: 24575398]
22. Lee JA. Effect of Web-based interactive tailored health videos on users' attention, interactivity, overall evaluation, preference and engagement. In: Proc Am Soc Info Sci Tech. 2012 Jan 11 Presented at: American Society for Information Science and Technology; October 9-13, 2011; New Orleans, LA p. 1-3. [doi: 10.1002/meet.2011.14504801317]
23. Chaiken S, Eagly A. Communication modality as a determinant of persuasion: The role of communicator salience. J Pers Soc Psychol 1983;45(2):241-256.
24. Pfau M, Holbert RL, Zubric SJ, Pasha NH, Lin W. Role and influence of communication modality in the process of resistance to persuasion. Media Psychol 2000 Feb;2(1):1-33. [doi: 10.1207/S1532785XMEP0201-1]
25. Corston R, Colman AM. Modality of communication and recall of health-related information. J Health Psychol 1997 Apr;2(2):185-194. [doi: 10.1177/135910539700200215] [Medline: 22013002]
26. World Health Organization. The World Health Report 2002: Reducing Risks, Promoting Healthy Life. Geneva: World Health Organization; 2002.
27. van Rossum CT, Fransen HP, Verkaik-Kloosterman J, Buurma-Rethans EJ, Ocké MC. Dutch National Food Consumption Survey: Diet of Children and Adults Aged 7 to 69 years. (Report No. 35005006/20). Bilthoven: Dutch National Institute for Public Health and the Environment (RIVM); 2011.
28. Netherlands Nutrition Centre. Richtlijnen voedselkeuze (Guidelines for choices of food). 2011. URL: http://www. voedingscentrum.nl/Assets/Uploads/voedingscentrum/Documents/Professionals/Voedselvoorlichting/01-Richtlijnen%20voedselkeuze%20Voedingscentrum.pdf [accessed 2015-08-13] [WebCite Cache ID 6akbkWt3S]
29. Murphy MM, Barraj LM, Spungen JH, Herman DR, Randolph RK. Global assessment of select phytonutrient intakes by level of fruit and vegetable consumption. Br J Nutr 2014 Sep 28;112(6):1004-1018 [FREE Full text] [doi: 10.1017/S0007114514001937] [Medline: 25108700]
30. Kruglanski AW, Thompson EP Persuasion by a single route: a view from the unimodel. Psychol Inq 2009 Nov 19;10(2):83-109. [doi: 10.1207/S15327965PL100201]
31. Institute of Medicine. Health Literacy: A Prescription to End Confusion. 2004 Apr. URL: http://iom.nationalacademies.org/~/media/Files/Report%20Files/2004/Health-Literacy-A-Prescription-to-End-Confusion/healthliteracyfinal.pdf [accessed 2015-08-13] [WebCite Cache ID 6akcM0hx4]
32. Santo A, Laizner AM, Shohet L. Exploring the value of audiotapes for health literacy: a systematic review. Patient Educ Couns 2005 Sep;58(3):235-243. [doi: 10.1016/j.pec.2004.07.001] [Medline: 16054796]
33. Mo ttus R, Johnson W, Murray C, Wolf MS, Starr JM, Deary IJ. Towards understanding the links between health literacy and physical health. Health Psychol 2014 Feb;33(2):164-173. [doi: 10.1037/a0031439] [Medline: 23437854]
34. Norman CD, Skinner HA. eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res 2006 Jun;8(2):e9 [FREE Full text] [doi: 10.2196/jmir.8.2.e9] [Medline: 16867972]
35. Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol 2008 May;27(3):379-387. [doi: 10.1037/0278-6133.27.3.379] [Medline: 18624603]
36. Bogers RP, van Assema P, Kester AD, Westerterp KR, Dagnelie PC. Reproducibility, validity, and responsiveness to change of a short questionnaire for measuring fruit and vegetable intake. Am J Epidemiol 2004 May 1;159(9):900-909 [FREE Full text] [Medline: 15105183]
37. TNS NIPO. App bouwen? Begin met Android!. 2011. URL: http://www.tns-nipo.com/nieuws/nieuwsberichten/app-bouwen-begin-met-android!/[accessed 2015-08-13] [WebCite Cache ID 6akV70ace]
38. Soper D. Statistics Calculator Version 3.0 beta. URL: http://www.danielsoper.com/statcalc3/[accessed 2015-08-13] [WebCite Cache ID 6akVHLNZ2]
39. Bartholomew LK, Parcel GS, Kok G. Intervention mapping: a process for developing theory-and evidence-based health education programs. Health Educ Behav 1998 Oct;25(5):545-563. [Medline: 9768376]
40. Bartholomew L, Parcel G, Kok G, Gottlieb NH, Fernández ME. Planning Health Promotion Programs: An Intervention Mapping Approach. 3rd edition. San Francisco, CA: Jossey-Bass; 2011.
41. Kok G, Schaalma H, Ruiter RA, van Empelen P, Brug J. Intervention mapping: protocol for applying health psychology theory to prevention programmes. J Health Psychol 2004 Jan;9(1):85-98. [doi: 10.1177/1359105304038379] [Medline: 14683571]
42. Bandura A. Health promotion from the perspective of social cognitive theory. Psychol Health 1998 Jul;13(4):623-649. [doi: 10.1080/08870449808407422]
43. Braverman J. Testimonials versus informational persuasive messages: the moderating effect of delivery mode and personal involvement. Commun Res 2008 Aug 04;35(5):666-694. [doi: 10.1177/0093650208321785]
44. Brug J, Lechner L, de Vries H. Psychosocial determinants of fruit and vegetable consumption. Appetite 1995 Dec;25(3):285-296. [doi: 10.1006/appe.1995.0062] [Medline: 8746967]
45. Springvloet L, Lechner L, Oenema A. Planned development and evaluation protocol of two versions of a web-based computer-tailored nutrition education intervention aimed at adults, including cognitive and environmental feedback. BMC Public Health 2014;14:47 [FREE Full text] [doi: 10.1186/1471-2458-14-47] [Medline: 24438381]
46. Dijkstra A, Schakenraad R, Menninga K, Buunk AP, Siero F. Self-discrepancies and involvement moderate the effects of positive and negative message framing in persuasive communication. Basic Appl Soc Psych 2009 Aug 14;31(3):234-243. [doi: 10.1080/01973530903058441]
47. Lowe MR, Timko CA. What a difference a diet makes: towards an understanding of differences between restrained dieters and restrained nondieters. Eat Behav 2004 Jul;5(3):199-208. [doi: 10.1016/j.eatbeh.2004.01.006] [Medline: 15135332]
48. Adriaanse MA, Vinkers CD, de Ridder DT, Hox JJ, De Wit JB. Do implementation intentions help to eat a healthy diet? A systematic review and meta-analysis of the empirical evidence. Appetite 2011 Feb;56(1):183-193 [FREE Full text] [doi: 10.1016/j.appet.2010.10.012] [Medline: 21056605]
49. Chapman J, Armitage CJ, Norman P. Comparing implementation intention interventions in relation to young adults' intake of fruit and vegetables. Psychol Health 2009 Mar;24(3):317-332. [doi: 10.1080/08870440701864538] [Medline: 20204996]
50. Gollwitzer P, Sheeran P. Implementation intentions and goal achievement. A meta-analysis of effects and processes. Adv Exp Soc Psychol 2006;38:69-119. [doi: 10.1016/S0065-2601(06)38002-1]
51. Boersma P, Weenink D. Praat: doing phonetics by computer (Computer program; Version 5.1.34). 2000. URL: http://www. praat.org [accessed 2015-08-13] [WebCite Cache ID 6akTt7J6A]
52. Audacity Team. Audacity (Computer program; version 2.0.2). 2012. URL: http://sourceforge.net/projects/audacity/[accessed 2015-08-13] [WebCite Cache ID 6akUF2gst]
53. Centraal Bureau voor de Statistiek. Begrippen-Ervaren gezondheid [Definitions-Experienced health]. 2013. URL: http://www.cbs.nl/nl-NL/menu/methoden/begrippen/default.htm?ConceptID=2709 [accessed 2015-08-13] [WebCite Cache ID 6akUWB09Q]
54. Cohen J, Cohen P, West S, Aiken L. Applied Multiple Regression/Correlation Analyses for the Behavioral Sciences. 3rd edition. Mahwah, NJ: Lawrence Erlbaum; 2003.
55. Pietersma S, Dijkstra A. Do behavioural health intentions engender health behaviour change? A study on the moderating role of self-affirmation on actual fruit intake versus vegetable intake. Br J Health Psychol 2011 Nov;16(4):815-827. [doi: 10.1111/j.2044-8287.2011.02018.x] [Medline: 21988066]
56. Cohen J. A power primer. Psychol Bull 1992 Jul;112(1):155-159. [Medline: 19565683]
57. Trudeau E, Kristal AR, Li S, Patterson RE. Demographic and psychosocial predictors of fruit and vegetable intakes differ: implications for dietary interventions. J Am Diet Assoc 1998 Dec;98(12):1412-1417. [doi: 10.1016/S0002-8223(98)00319-8] [Medline: 9850109]
58. Chapman J, Armitage CJ. Do techniques that increase fruit intake also increase vegetable intake? Evidence from a comparison of two implementation intention interventions. Appetite 2012 Feb;58(1):28-33. [doi: 10.1016/j.appet.2011.09.022] [Medline: 22001024]
59. Brouwer W, Kroeze W, Crutzen R, de NJ, de Vries Nanne K, Brug J, et al. Which intervention characteristics are related to more exposure to internet-delivered healthy lifestyle promotion interventions? A systematic review. J Med Internet Res 2011;13(1):e2 [FREE Full text] [doi: 10.2196/jmir.1639] [Medline: 21212045]
60. Crutzen R, Viechtbauer W, Spigt M, Kotz D. Differential attrition in health behaviour change trials: a systematic review and meta-analysis. Psychol Health 2015 Jan;30(1):122-134. [doi: 10.1080/08870446.2014.953526] [Medline: 25109224]
61. Lechner L, Brug J, de Vries H. Misconceptions of fruit and vegetable consumption: differences between objective and subjective estimation of intake. J Nutr Educ 1997 Nov;29(6):313-320. [doi: 10.1016/S0022-3182(97)70245-0]
62. Lathia N, Pejovic V, Rachuri KK, Mascolo C, Musolesi M, Rentfrow PJ. Smartphones for large-scale behavior change interventions. IEEE Pervasive Comput 2013 Jul;12(3):66-73. [doi: 10.1109/MPRV.2013.56]