Innovative video tailoring for dietary change: final results of the Good for you! cluster randomized trial

Kim M Gans, Patricia Markham Risica, Akilah Dulin-Keita, Jennifer Mello, Mahin Dawood, Leslie O Strolla, Ofer Harel, Kim M Gans, Patricia Markham Risica, Akilah Dulin-Keita, Jennifer Mello, Mahin Dawood, Leslie O Strolla, Ofer Harel

Abstract

Background: Effective, low-cost approaches are needed to enhance dietary behavior change. While both video and tailoring technology have been effective interventions to improve diet, these approaches have never been combined to study the effectiveness of tailored videos. The purpose of this paper is to discuss the results of Good For You!, a randomized trial that tested the efficacy of innovative, individually tailored videos in helping worksite employees decrease dietary fat and increase fruit and vegetable (F&V) intake.

Methods: Worksites were matched on approximate size, type of company and workforce composition and randomized to one of three experimental conditions: Non-Tailored written information (NT) (n = 14), Tailored Written information (TW) (n = 14), or Tailored Written + Tailored Video (TW + TV) (n = 15). Evaluation was conducted at baseline, 4 and 7 months. We used the NCI Fat Screener and an adapted Food Habits Questionnaire (FHQ) to estimate fat intake and fat-related behaviors, the NCI F&V Screener and F&V Habits Questionnaire (FVHQ) to measure F&V intake and behaviors. Generalized linear models were examined for all outcome measurements.

Results: 2525 worksite employees were recruited. At 4 months, dietary fat intake decreased significantly more for TW (-2.95 %) and TW + TV (-3.14%) compared with NT (-2.42%). FHQ scores decreased significantly more for TW + TV than the other two groups. Fruit intake increased the most for TW + TV compared to NT and TW. Both TW (1.30 cups) and TW + TV (1.59 cups) increased F&V intake significantly more than NT (0.78 cups). TW + TV showed the largest increase in F&V behaviors on the FVFQ. At 8 months, dietary fat change continued to be significantly better for TW + TV (-3.48%) than NT (3.01%). F&V intake increased significantly more for the TW + TV group (1.38 cups) compared to the NT group (1.04 cups) and FVHQ changes were significantly greater in TW + TV and TW than for NT.

Conclusions: The tailored intervention participants were more likely to decrease fat and increase F&V intake. The TW + TV group was generally the stronger of the two tailored interventions, especially at the longer term follow-up, demonstrating the promise of tailored video as an intervention to change eating habits. Future studies should explore newer channels and technologies in addition to DVDs for delivering tailored video interventions such as the internet and smart phones.

Trial registration: ClinicalTrials.gov identifier: NCT00301678.

Figures

Fig. 1
Fig. 1
Video Tailoring Technology
Fig. 2
Fig. 2
Good For You! Study Participation Flow Chart

References

    1. Gidding SS, Dennison BA, Birch LL, Daniels SR, Gillman MW, Lichtenstein AH, et al. Dietary recommendations for children and adolescents: a guide for practitioners: consensus statement from the American Heart Association. Circulation. 2005;112(13):2061–75. doi: 10.1161/CIRCULATIONAHA.105.169251.
    1. Kushi LH, Doyle C, McCullough M, Rock CL, Demark-Wahnefried W, Bandera EV, et al. American Cancer Society Guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. CA cancer J clin. 2012;62(1):30–67. doi: 10.3322/caac.20140.
    1. United States. Dept. of Agriculture . 2010 dietary guidelines for Americans backgrounder : history and process. Washington, D.C.: U.S. Dept. of Agriculture; 2010.
    1. U.S. Department of Agriculture and U.S. Department of Health and Human Services . Dietary Guidelines for Americans, 2010. 7. Washington, DC: U.S. Government Printing Office; 2010.
    1. Contento IR, Black G, Bronner Y, Lytle L, Maloney SK, Olson CM, et al. The effectiveness of nutrition education and implications for nutrition education policy, programs and research: A review of research. J Nutr Educ. 1995;27:277–418.
    1. Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007;133(4):673–93. doi: 10.1037/0033-2909.133.4.673.
    1. Kreuter MW, Skinner CS. Tailoring: What's in a name? Health Educ Res. 2000;15:1–4. doi: 10.1093/her/15.1.1.
    1. Kreuter MW, Strecher VJ, Glassman B. One size does not fit all: the case for tailoring print materials. Ann Behav Med. 1999;21(4):276–83. doi: 10.1007/BF02895958.
    1. De Vries H, Brug J. Computer-tailored interventions motivating people to adopt health promoting behaviours: introduction to a new approach. Patient Educ Couns. 1999;36(2):99–105. doi: 10.1016/S0738-3991(98)00127-X.
    1. Brug J, Oenema A, Campbell M. Past, present, and future of computer-tailored nutrition education. Am J Clin Nutr. 2003;77(4 Suppl):1028S–34.
    1. Kroeze W, Werkman A, Brug J. A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Ann Behav Med. 2006;31(3):205–23. doi: 10.1207/s15324796abm3103_2.
    1. Brug J, Steenhuis I, van Assema P, Glanz K, De Vries H. Computer-tailored nutrition education: differences between two interventions. Health Educ Res. 1999;14(2):249–56. doi: 10.1093/her/14.2.249.
    1. Dijkstra A, De Vries H. The development of computer-generated tailored interventions. Patient Educ Couns. 1999;36(2):193–203. doi: 10.1016/S0738-3991(98)00135-9.
    1. Enwald HP, Huotari ML. Preventing the obesity epidemic by second generation tailored health communication: an interdisciplinary review. J Med Internet Res. 2010;12(2):e24. doi: 10.2196/jmir.1409.
    1. Gagliano ME. A literature review on the efficacy of video in patient education. J Med Educ. 1988;63(10):785–92.
    1. Nielsen E, Sheppard MA. Television as a patient education tool: a review of its effectiveness. Patient Educ Couns. 1988;11(1):3–16. doi: 10.1016/0738-3991(88)90072-9.
    1. Abu Abed M, Himmel W, Vormfelde S, Koschack J. Video-assisted patient education to modify behavior: A systematic review. Patient Educ Couns. 2014;97:16–22. doi: 10.1016/j.pec.2014.06.015.
    1. Tuong W, Larsen ER, Armstrong AW. Videos to influence: a systematic review of effectiveness of video-based education in modifying health behaviors. J Behav Med. 2014;37(2):218–33. doi: 10.1007/s10865-012-9480-7.
    1. Nielsen. Nielsen Estimates 115.6 Million TV Homes in the U.S., Up 1.2 % . Accessed October 29, 2013.
    1. Television Bureau of Advertising. TV Basics: A report on the growth and scope of television. 2012. . Accessed October 29, 2013.
    1. Solutions TLM. Television Remains Dominant Among All Media In Time Spent And Consumer Engagement – New Knowledge Networks Analysis, .June 6, 2012. . Accessed October 29, 2013.
    1. Nielsen. Nielson The Cross-Platform Report Q4 2012, March 2013. . Accessed October 29, 2013.
    1. Project PIAL. Trend Data (Adults). 2013. .
    1. Gallup. Americans' Tech Tastes Change With Times. January 6, 2014. . Accessed September 29, 2014.
    1. Zickuhr K, Smith A. Digital differences: Pew Research Center’s Internet & American Life Project2012 April 13, 2012. .
    1. Vandelanotte C, Mummery WK. Qualitative and quantitative research into the development and feasibility of a video-tailored physical activity intervention. Int J behav nutr phys act. 2011;8(1):70. doi: 10.1186/1479-5868-8-70.
    1. Morrongiello BA, Zdzieborski D, Sandomierski M, Lasenby-Lessard J. Video messaging: what works to persuade mothers to supervise young children more closely in order to reduce injury risk? Soc Sci Med. 2009;68(6):1030–7. doi: 10.1016/j.socscimed.2008.12.019.
    1. Thompson FE, Kipnis V, Subar AF, Schatzkin A, Potischman N, Kahle L, et al. Performance of a short instrument to estimate usual dietary intake of percent calories from fat. Eur J Clin Nutr. 1998;52(Suppl 2):S63.
    1. Shannon J, Kristal AR, Curry SJ, Beresford SA. Application of a behavioral approach to measuring dietary change: the fat- and fiber-related diet behavior questionnaire. Cancer Epidemiol Biomarkers Prev. 1997;6:355–61.
    1. Kristal AR, White E, Shattuck AL, Curry S, Anderson GL, Fowler A, et al. Long-term maintenance of a low-fat diet: durability of fat-related dietary habits in the Women's Health Trial. J Am Diet Assoc. 1992;92(5):553–9.
    1. Risica P, Gans K, Kumanyika S, Kirtania U, Lasater T. SisterTalk: Final results of SisterTalk: A culturally tailored cable television delivered weight control program for black women. Int J Behav Nutr Phys Act. 2013;27(10):141. doi: 10.1186/1479-5868-10-141.
    1. Kristal A, Shattuck A, Henry H. Patterns of dietary behavior associated with selecting diets low in fat: reliability and validity of a behavioral approach to dietary assessment. J Am Diet Assoc. 1990;90(2):214–20.
    1. Kristal AR, Beresford SA, Lazovich D. Assessing change in diet-intervention research. Am J Clin Nutr. 1994;59(1 Suppl):185S–9.
    1. Thompson FE, Kipnis V, Subar AF, Krebs-Smith SM, Kahle LL, Midthune D, et al. Evaluation of 2 brief instruments and a food-frequency questionnaire to estimate daily number of servings of fruit and vegetables. Am J Clin Nutr. 2000;71(6):1503–10.
    1. Eyles HC, Mhurchu CN. Does tailoring make a difference? A systematic review of the long-term effectiveness of tailored nutrition education for adults. Nutr Rev. 2009;67(8):464–80. doi:NURE219 [pii]10.1111/j.1753-4887.2009.00219.x.
    1. Kroeze W, Dagnelie PC, Heymans MW, Oenema A, Brug J. Biomarker evaluation does not confirm efficacy of computer-tailored nutrition education. J Nutr Educ Behav. 2011;43(5):323–30. doi: 10.1016/j.jneb.2010.09.009.
    1. Heimendinger J, O'Neill C, Marcus AC, Wolfe P, Julesburg K, Morra M, et al. Multiple tailored messages are effective in increasing fruit and vegetable consumption among callers to the Cancer Information Service. J Health Commun. 2005;10(Suppl 1):65–82. doi: 10.1080/10810730500263646.
    1. Pomerleau J, Lock K, Knai C, McKee M. Interventions designed to increase adult fruit and vegetable intake can be effective: a systematic review of the literature. J Nutr. 2005;135(10):2486–95.
    1. van Keulen HM, Mesters I, Ausems M, van Breukelen G, Campbell M, Resnicow K, et al. Tailored print communication and telephone motivational interviewing are equally successful in improving multiple lifestyle behaviors in a randomized controlled trial. Ann Behav Med. 2011;41(1):104–18. doi: 10.1007/s12160-010-9231-3.
    1. Wright JL, Sherriff JL, Dhaliwal SS, Mamo JC. Tailored, iterative, printed dietary feedback is as effective as group education in improving dietary behaviours: results from a randomised control trial in middle-aged adults with cardiovascular risk factors. Int J behav nutr phys act. 2011;8:43. doi: 10.1186/1479-5868-8-43.
    1. Gans KM, Risica PM, Strolla LO, Fournier L, Kirtania U, Upegui D, et al. Effectiveness of different methods for delivering tailored nutrition education to low income, ethnically diverse adults. Int J behav nutr phys act. 2009;6:24. doi: 10.1186/1479-5868-6-24.
    1. Lapane KL GR, Quilliam BJ, Hume AL, Eaton CB. Tailored DVDs: a novel strategy for educating racially and ethnically diverse older adults about their medicines. Int J Med Inform. 2012;81(12):852–60. doi: 10.1016/j.ijmedinf.2012.09.007.
    1. Walthouwer MJ, Oenema A, Soetens K, Lechner L, De Vries H. Systematic development of a text-driven and a video-driven web-based computer-tailored obesity prevention intervention. BMC Public Health. 2013;13:978. doi: 10.1186/1471-2458-13-978.
    1. Arora M, Gerbert B, Potter MB, Gildengorin G, Walsh JM. PRE-VIEW: Development and Pilot Testing of An Interactive Video Doctor Plus Provider Alert to Increase Cancer Screening. ISRN preventive medicine. 2013;2013. doi:10.5402/2013/935487
    1. Shegog R, McAlister AL, Hu S, Ford KC, Meshack AF, Peters RJ. Use of interactive health communication to affect smoking intentions in middle school students: a pilot test of the "Headbutt" risk assessment program. Am J Health Promot. 2005;19(5):334–8. doi: 10.4278/0890-1171-19.5.334.
    1. Frenn M, Malin S, Brown RL, Greer Y, Fox J, Greer J, et al. Changing the tide: an Internet/video exercise and low-fat diet intervention with middle-school students. Appl Nurs Res. 2005;18(1):13–21. doi: 10.1016/j.apnr.2004.04.003.
    1. Lustria ML, Cortese J, Noar SM, Glueckauf RL. Computer-tailored health interventions delivered over the Web: review and analysis of key components. Patient Educ Couns. 2009;74(2):156–73. doi: 10.1016/j.pec.2008.08.023.
    1. Swartz LH, Noell JW, Schroeder SW, Ary DV. A randomised control study of a fully automated internet based smoking cessation programme. Tob Control. 2006;15(1):7–12. doi: 10.1136/tc.2003.006189.
    1. Bruning Brown J, Winzelberg AJ, Abascal LB, Taylor CB. An evaluation of an Internet-delivered eating disorder prevention program for adolescents and their parents. J Adolesc Health. 2004;35(4):290–6. doi: 10.1016/j.jadohealth.2003.10.010.
    1. 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. Frontiers in public health. 2014;2:13. doi: 10.3389/fpubh.2014.00013.
    1. Brug J, van Assema P. Differences in use and impact of computer-tailored dietary fat-feedback according to stage of change and education. Appetite. 2000;34(3):285–93. doi: 10.1006/appe.2000.0322.
    1. Oenema A, Brug J, Lechner L. Web-based tailored nutrition education: results of a randomized controlled trial. Health Educ Res. 2001;16(6):647–60. doi: 10.1093/her/16.6.647.
    1. Oenema A, Tan F, Brug J. Short-term efficacy of a web-based computer-tailored nutrition intervention: main effects and mediators. Ann Behav Med. 2005;29(1):54–63. doi: 10.1207/s15324796abm2901_8.
    1. Fox, S. and Rainie L. Part 1: How the internet has woven itself into American life. Pew Research Center. February 27, 2014. . Accessed September 28, 2014.
    1. Nielsen. What you think you know vs. what you need to know about U.S. Hispanics and media. . Accessed October 29, 2013.
    1. Lafayette J. Nielsen: TV Universe Set to Shrink in 2013. May 3, 2012. .
    1. Nielsen. The Mobile Consumer: A Global Snapshot. February 2013. .
    1. Nielsen. Free to Move Between Screens: The Cross-Platform Report, Q4 2012 (REVISED 10.7.2013). March 2013. .
    1. Charts M. Mobile Media Consumption Varies by Income Level. In: Mobile Media Consumption Varies by Income Level. September 26, 2012. . Accessed October 29, 2013.
    1. 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. doi: 10.2196/jmir.3016.
    1. Thompson D. Designing serious video games for health behavior change: current status and future directions. J Diabetes Sci Technol. 2012;6(4):807–11. doi: 10.1177/193229681200600411.
    1. Okorodudu DE, Bosworth HB, Corsino L. Innovative interventions to promote behavioral change in overweight or obese individuals: A review of the literature. Annals of medicine. 2014:1–7. doi:10.3109/07853890.2014.931102
    1. Baranowski T, Baranowski J, Thompson D, Buday R. Behavioral science in video games for children's diet and physical activity change: key research needs. J Diabetes Sci Technol. 2011;5(2):229–33. doi: 10.1177/193229681100500204.
    1. Prewitt TE, Durazo-Arvizu R, McGee DL, Luke A, Cooper RS. One size fits all: implications for assessing dietary behavior. J Am Diet Assoc. 1997;97:S70–2. doi: 10.1016/S0002-8223(97)00734-7.

Source: PubMed

3
Abonneren