Journal of Nutrition Education and Behavior
Volume 40, Issue 4 , Pages 226-236 , July 2008

The Efficacy of Web-based and Print-delivered Computer-tailored Interventions to Reduce Fat Intake: Results of a Randomized, Controlled Trial

  • Willemieke Kroeze, MPH

      Affiliations

    • Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
    • Corresponding Author InformationAddress for correspondence: Willemieke Kroeze, MPH, Erasmus MC, University Medical Center, Department of Public Health, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands; Phone: 31-10-408-92-53; Fax: 31-10-463-84-74
    • ,
  • Anke Oenema, PhD

      Affiliations

    • Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
    • ,
  • Marci Campbell, PhD, RD

      Affiliations

    • Department of Nutrition, School of Public Health, University of North Carolina, Chapel Hill, North Carolina
    • ,
  • Johannes Brug, PhD

      Affiliations

    • Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
    • Instituut voor Extramuraal Geneeskundig Onderzoek, VU University Medical Center, Amsterdam, The Netherlands

References 

  1. Kreuter MW, Strecher VJ, Glassman B. One size does not fit all: the case for tailoring print materials. Ann Behav Med. 1999;21:276–283
  2. 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;31:205–223
  3. Street RL, Gold WR, Manning TR. Health Promotion and Interactive Technology: Theoretical Applications and Future Directions. Mahwah, NJ: Lawrence Erlbaum Associates, Inc; 1997;
  4. Brug J, Oenema A, Kroeze W, Raat H. The internet and nutrition education: challenges and opportunities. Eur J Clin Nutr. 2005;59(Suppl 1):S130–S137discussion S138-139
  5. Oenema A, Brug J, Lechner L. Web-based tailored nutrition education: results of a randomized controlled trial. Health Educ Res. 2001;16:647–660
  6. Anderson ES, Winett RA, Wojcik JR, Winett SG, Bowden T. A computerized social cognitive intervention for nutrition behavior: direct and mediated effects on fat, fiber, fruits, and vegetables, self-efficacy, and outcome expectations among food shoppers. Ann Behav Med. 2001;23:88–100
  7. Campbell MK, Honess-Morreale L, Farrell D, Carbone E, Brasure M. A tailored multimedia nutrition education pilot program for low-income women receiving food assistance. Health Educ Res. 1999;14:257–267
  8. Campbell MK, Carbone E, Honess-Morreale L, Heisler-Mackinnon J, Demissie S, Farrell D. Randomized trial of a tailored nutrition education CD-ROM program for women receiving food assistance. J Nutr Educ Behav. 2004;36:58–66
  9. Irvine AB, Ary DV, Grove DA, Gilfillan-Morton L. The effectiveness of an interactive multimedia program to influence eating habits. Health Educ Res. 2004;19:290–305
  10. 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;29:54–63
  11. Oenema A, Brug J. Feedback strategies to raise awareness of personal dietary intake: results of a randomized controlled trial. Prev Med. 2003;36:429–439
  12. Vandelanotte C, De Bourdeaudhuij I, Sallis JF, Spittaels H, Brug J. Efficacy of sequential or simultaneous interactive computer-tailored interventions for increasing physical activity and decreasing fat intake. Ann Behav Med. 2005;29:138–146
  13. Brug J, Oenema A, Campbell M. Past, present, and future of computer-tailored nutrition education. Am J Clin Nutr. 2003;77(suppl 4):1028S–1034S
  14. Murphy JM, Long JF, Holleran TA, Esterly E. Persuasion online or on paper: a new take on an old issue. Learning and Instruction. 2003;13:511–532
  15. Murray CJL, Lopez AD. Global mortality, disability, and the contribution of risk factors: global burden of disease study. Lancet. 1997;349:1436–1442
  16. Visscher TLS, Seidell JC. The public health impact of obesity. Annu Rev Public Health. 2001;22:355–375
  17. Health Council of the Netherlands. Dietary Reference Intakes: energy, proteins, fats and digestible carbohydrates. The Hague: Health Council of the Netherlands; 2001;Publication no. 2001/19
  18. Beer-Borst S, Hercberg S, Morabia A, et al. Dietary patterns in six European populations: results from EURALIM, a collaborative European data harmonization and information campaign. Eur J Clin Nutr. 2000;54:253–262
  19. Ganji V, Betts N. Fat, cholesterol, fiber and sodium intakes of US population: evaluation of diets reported in 1987-1988 nationwide food consumption survey. Eur J Clin Nutr. 1995;49:915–920
  20. Bogers RP, Brug J, van Assema P, Dagnelie PC. Explaining fruit and vegetable consumption: the theory of planned behaviour and misconception of personal intake levels. Appetite. 2004;42:157–166
  21. Brug J, van Assema P, Kok G, Lenderink T, Glanz K. Self-rated dietary fat intake: association with objective assessment of fat, psychosocial factors, and intention to change. J Nutr Educ. 1994;26:218–223
  22. 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;29:313–320
  23. Weinstein ND. The precaution adoption process. Health Psychol. 1988;7:355–386
  24. Brug J, Steenhuis I, van Assema P, de Vries H. The impact of a computer-tailored nutrition intervention. Prev Med. 1996;25:236–242
  25. Van Assema P, Brug J, Ronda G, Steenhuis I. The relative validity of a short Dutch questionnaire as a means to categorize adults and adolescents to total and saturated fat intake. J Hum Nutr Diet. 2001;14:377–390
  26. Voedingscentrum [Netherlands Nutrition Centre]. This is How the Dutch Eat: Results of the Food Consumption Survey 1998 [in Dutch]. Den Haag: Voedingscentrum; 1998;
  27. Feunekes GI, Van Staveren WA, De Vries JHM, Burema J, Hautvast JG. Relative and biomarker-based validity of a food-frequency questionnaire estimating intake of fats and cholesterol. Am J Clin Nutr. 1993;58:489–496
  28. Marshall AL, Leslie ER, Bauman AE, Marcus BH, Owen N. Print versus website physical activity programs: a randomized trial. Am J Prev Med. 2003;25:88–94
  29. Marks JT, Campbell MK, Ward DS, Ribisl KM, Wildemuth BM, Symons MJ. A comparison of Web and print media for physical activity promotion among adolescent girls. J Adolesc Health. 2006;39:96–104
  30. Centraal Bureau voor de Statistiek. Yearbook Education in Numbers 2007 [in Dutch]. Voorburg, The Netherlands: Centraal Bureau voor de Statistiek; 2007;
  31. Rijksinstituut voor Volksgezondheid en Milieu [National Institute for Public Health and the environment]. http://www.rivm.nl/vtv/object_document/o1451n19088.htmlAccessed April 28, 2008
  32. Heimendinger J, O'Neill C, Marcus AC, 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

 This study was funded by ZonMw, The Netherlands Organization for Health Research and Development.

 Continuing Education Questionnaire available at www.sne.org/ Meets Learning Need Codes for RDs and DTRs 4010, 6050, and 4000.

PII: S1499-4046(07)00987-6

doi: 10.1016/j.jneb.2007.09.008

Journal of Nutrition Education and Behavior
Volume 40, Issue 4 , Pages 226-236 , July 2008

Article Tools

* Image Usage & Resolution