Does tailoring make a difference? A systematic review of the long-term effectiveness of tailored nutrition education for adults

Nutrition Reviews

Volumn 67, Issue 8, 2009, Pages 464-480

  Eyles, Helen C ^a   Mhurchu, Cliona Ni ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Adult; Health priorities; Long term effect; Nutrition therapy; Tailoring

Indexed keywords

ADULT EDUCATION; ANTHROPOMETRIC PARAMETERS; CLINICAL TRIAL; DIETARY INTAKE; ETHNICITY; FRUIT; HEALTH BEHAVIOR; HUMAN; LOWEST INCOME GROUP; MEDICAL INFORMATION; MEDICAL RESEARCH; NUTRITION EDUCATION; OUTCOME ASSESSMENT; REVIEW; SYSTEMATIC REVIEW; VEGETABLE;

ADULT; DIET; DIETARY FATS; ENERGY INTAKE; ETHNIC GROUPS; FRUIT; HEALTH EDUCATION; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HEALTH PROMOTION; HEALTH STATUS; HUMANS; INCOME; META-ANALYSIS AS TOPIC; NUTRITIONAL PHYSIOLOGICAL PHENOMENA; POVERTY; VEGETABLES;

EID: 73949148147     PISSN: 00296643     EISSN: 17534887     Source Type: Journal    
DOI: 10.1111/j.1753-4887.2009.00219.x     Document Type: Review

References (68)

1. Ezzati M, Lopez AD, Rodgers A, Vander Hoorn S, Murray CJL, and The Comparative Risk Assessment Group. Selectedmajor risk factors and global and regional burden of disease. Lancet. 2002;360:1347-1360.
2. James WP, Nelson M, Ralph A, Leather S. Socioeconomic determinants of health: the contribution of nutrition to inequalities in health. BMJ. 1997;314:1545-1549.
3. Giskes K, Van Lenthe FJ, Brug J, Mackenbach JP, Turrell G. Socioeconomic inequalities in food purchasing: the contribution of respondent-perceived and actual (objectively measured) price and availability of foods. Prev Med. 2007; 45:41-48.
4. Ricciuto LE, Tarasuk VS. An examination of income-related disparities in the nutritional quality of food selections among Canadian households from 1986-2001. Soc Sci Med. 2007;64:186-198.
5. Turrell G, Hewitt B, Patterson C, Oldenburg B, Gould T. Socioeconomic differences in food purchasing behaviour and suggested implications for diet-related health promotion. J Hum Nutr Diet. 2002;15:355-364.
6. Lawes C, Stefanogiannis N, Tobias M, Paki Paki N, Ni Mhurchu C, Turley M, et al. Ethnic disparities in nutritionrelated mortality in New Zealand: 1997-2011. N Z Med J. 2006;119:U2122.
7. Ministry of Health. The Health of Pacific Peoples.Wellington, New Zealand: Ministry of Health; 2005.
8. Yip YH, Malik I, Luscombe C, McCarryM, Beevers G. Dietary fat purchasing habits in whites, blacks and Asian peoples in England - implications for heart disease prevention. Int J Cardiol. 1995;48:287-293.
9. Larsson I, Lissner L, Wilhelmsen L. The "Green Keyhole" revisited: nutritional knowledge may influence food selection. Eur J Clin Nutr. 1999;53:776-780.
10. Turrell G, Kavanagh AM. Socio-economic pathways to diet: modelling the association between socio-economic position and food purchasing behaviour. Pub Health Nutr. 2006;9: 375-383.
11. Brug J, van Assama 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.
12. 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.
13. 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.
14. Adamson AJ, Mathers JC. Effecting dietary change. Proc Nutr Soc. 2004;63:537-547.
15. Kroeze W, Werkman A, Brug J. A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviours. Ann Behav Med. 2006;31:205-223.
16. The Cochrane Library. Section 9. Analysing and presenting results. In: Higgins J, Green S (eds) Cochrane Handbook for Systematic Reviews of Interventions 4.2.6. Chichester, UK: John Wiley & Sons, Ltd.; 2006.
17. The Cochrane Library. Section 6 Assessment of study quality. In: Higgins J, Green S, (eds). Cochrane Handbook for Systematic Reviews of Interventions 4.2.6. 4th eds. Chichester, UK: John Wiley & Sons, Ltd.; 2006.
18. Demark-Wahnefried W, Clipp EC, Lipkus IM, Lobach D, Snyder DC, Sloane R, et al. Main outcomes of the FRESH START trial: a sequentially tailored, diet and exercise mailed print intervention among breast and prostate cancer survivors. J Clin Oncol. 2007;25:2709-2718.
19. De Bourdeaudhuij I, Stevens V, Vandelanotte C, Brug J. Evaluation of an interactive computer-tailored nutrition intervention in a real-life setting. Ann Behav Med. 2007; 33:39-48.
20. Byrne N, Meerkin J, Laukkanen R, Ross R, Fogelholm M, Hills A. Weight loss strategies for obese adults: personalized weight management program vs. standard care. Obesity. 2006;14:177-188.
21. Campbell M, Demark-Wahnefried W, Symons M, Kalsbeek W, Dodds J, Cowan A, et al. Fruit and vegetable consumption and prevention of cancer: the black churches united for better health project. Am J Pub Health. 1999;89: 1390-1396.
22. Campbell MK, Tessaro I, DeVellis B, Benedict S, Kelsey K, Belton L, et al. Effects of a tailored health promotion program for female blue-collar workers: health works for women. Prev Med. 2002;34:313-323.
23. Clutter Snyder D, Sloane R, Haines PS, Miller P, Clipp EC, Morey MC, et al. The Diet Quality Index-Revised: a tool to promote and evaluate dietary change among older cancer survivors enrolled in a home-based intervention trial. J Am Diet Assoc. 2007;107:1519-1529.
24. Blalock SJ, DeVellis BM, Patterson CC, Campbell MK, Orenstein DR, Dooley MA. Effects of an osteoporosis prevention program incorporating tailored educational materials. Am J Health Promot. 2002;16:146-156.
25. 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.
26. Elder JP, Ayala GX, Campbell NR, Arredondo EM, Slymen DJ, Baquero B, et al. Long-term effects of a communication intervention for Spanish-dominant Latinas. Am J Prev Med. 2006;31:159-166.
27. 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(Suppl1):65-82. (Pubitemid 43041759)
28. Jones H, Edwards L, Vallis TM, Ruggiero L, Rossi SR, Rossi JS, et al. Changes in diabetes self-care behaviors make a difference in glycemic control: the diabetes stages of change (DiSC) study. Diabetes Care. 2003;26:732-737.
29. Kreuter MW, Sugg-Skinner C, Holt CL, Clark EM, Haire-Joshu D, Fu Q, et al. Cultural tailoring for mammography and fruit and vegetable intake among low-income African-American women in urban public health centers. Prev Med. 2005;41:53-62.
30. Kristal AR, Curry SJ, Shattuck AL, Feng Z, Li S. A randomized trial of a tailored, self-help dietary intervention: the Puget Sound Eating Patterns study. Prev Med. 2000;31:380-389.
31. Lutz SF, Ammerman AS, Atwood JR, Campbell MK, DeVellis RF, Rosamond WD. Innovative newsletter interventions improve fruit and vegetable consumption in healthy adults. J Am Diet Assoc. 1999;99:705-709.
32. Marcus AC, Heimendinger J, Wolfe P, Fairclough D, Rimer BK, Morra M, et al. A randomized trial of a brief intervention to increase fruit and vegetable intake: a replication study among callers to the CIS. Prev Med. 2001;33:204-216.
33. Nitzke S, Kritsch K, Boeckner L, Greene G, Hoerr S, Horacek T, et al. A stage-tailored multi-modal intervention increases fruit and vegetable intakes of low-income young adults. Am J Health Promot. 2007;22:6-14.
34. Rothert K, Strecher VJ, Doyle L, Caplan WM, Joyce JS, Jimison HB, et al. Web-based weight management programs in an integrated health care setting: a randomized, controlled trial. Obesity. 2006;14:266-272.
35. Sorensen G, Barbeau EM, Stoddard AM, HuntMK, Goldman R, Smith A, et al. Tools for health: the efficacy of a tailored intervention targeted for construction laborers. Cancer Causes Control. 2007;18:51-59.
36. Tate DF, Jackvony EH,Wing RR. A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an internet weight loss program. Arch Intern Med. 2006;166:1620-1625.
37. Tilley BC, Glanz K, Kristal AR, Hirst K, Li S, Vernon SW, et al. Nutrition intervention for high-risk auto workers: results of the Next Step Trial. Prev Med. 1999;28:284-292.
38. Turnin MC, Beddok RH, Clottes JP, Martini PF, Abadie RG, Buisson JC, et al. Telematic expert system Diabeto. Diabetes Care. 1992;15:204-212.
39. Vandelanotte C, De Bourdeaudhuij I, Sallis J, 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;29:138-145.
40. Winett RA, Anderson ES, Bickley PG, Walbery-Rankin J, Moore JF, Leahy M, et al. Nutrition for a lifetime system: a multimedia system for altering food supermarket shoppers' purchases to meet nutritional guidelines. Comput Hum Behav. 1997;13:371-392.
41. Winett RA, Anderson ES, Wojcik JR, Winett SG, Bowden T. Guide to health: nutrition and physical activity outcomes of a group-randomized trial of an internet-based intervention in churches. Ann Behav Med. 2007;33:251-261.
42. Wylie-Rosett J, Swencionis C, Ginsberg M, Cimino C, Wassertheil-Smoller S, Caban A, et al. Computerized weight loss intervention optimizes staff time: the clinical and cost results of a controlled clinical trial conducted in a managed care setting. J Am Diet Asso. 2001;101:1155-1162.
43. Anderson J, Dusenbury L. Worksite cholesterol and nutrition: an intervention project in Colorado. AAOHN J. 1999;47:99-106.
44. Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12:38-48.
45. Vandelanotte C, De Bourdeaudhuij I, Brug J. Two-year follow-up of sequential and simultaneous interactive computer-tailored interventions for increasing physical activity and decreasing fat intake. Ann Behav Med. 2007;33:213-219.
46. Tate DF, Jackvony EH, Wing RR. Effects of internet behavioral counseling on weight loss in adults at risk for type 2 diabetes: a randomized trial. JAMA. 2003;289:1833-1836.
47. Begg C, Berlin J. Publication bias: a problem in interpreting medical data. J R Stat Assoc. 1988;151:419-463.
48. Begg C, Berlin J. Publication bias and dissemination of clinical research. J Natl Cancer Inst. 1989;81:107-115.
49. Dickersin K, Min Y, Meinert C. Factors influencing publication of research results: follow-up of applications submitted to two institutional review boards. JAMA. 1992; 263:374-378.
50. Schulz KF, Grimes DA. Multiplicity in randomised trials I: endpoints and treatments. Lancet. 2005;365:1591-1595.
51. Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol. 1995;24:389-398.
52. Sterne JA, Egger M, Smith GD. Systematic reviews in health care: Investigating and dealing with publication and other biases in meta-analysis. BMJ. 2001;323:101-105.
53. Brug J, Campbell M, van Assema P. The application and impact of computer-generated personalized nutrition education: a review of the literature. Patient Educ Couns. 1999;36:145-156.
54. Ministry of Health. NZ Food: NZ People-Key Results of the 1997 National Nutrition Survey. Wellington, New Zealand: Ministry of Health; 1999.
55. Ministry of Health. Food and Nutrition Guidelines for Healthy Adults: a Background Paper. Wellington, New Zealand: Ministry of Health; 2003.
56. Australian Government and Ministry of Health. Nutrient Reference Values for New Zealand and Australia: Including Recommended Dietary Intakes.Wellington, New Zealand:Ministry of Health; 2006.
57. U.S. Department of Health and Human Services, U.S. Department of Agriculture. Dietary Guidelines for Americans. Available at: http://www.health.gov/dietaryguidelines/dga 2005/document/pdf/DGA2005.pdf, 2005. Accessed 27 March 2009.
58. Casagrande SS, Wang Y, Anderson C, Gary TL. Have Americans increased their fruit and vegetable intake? The trends between 1988 and 2002. Am J Prev Med. 2007;32:257-263.
59. Wright JD, Wang CY, Kennedy-Stephenson J, Ervin RB. Dietary Intake of Ten Key Nutrients for Public Health, United States: 1999-2000. Advance data from vital and health statistics; np.334. Hyattsville, Maryland: National Center for Health Statistics; 2003.
60. Moher D, Schulz KF, Altman DG, Group C. The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomized trials. J Am Podiatr Med Assoc. 2001;91:437-442.
61. Davidson KW, Goldstein M, Kaplan RM, Kaufmann PG, Knatterud GL, Orleans CT, et al. Evidence-based behavioral medicine: what is it and how do we achieve it? Ann Behav Med. 2003;26:161-171.
62. Block Dietary Data Systems. Block 95 Food Frequency Questionnaire. Berkley, CA: Block Dietary Data Systems; 1995.
63. Block G, Hartman AM, Dresser CM, Carroll MD, Gannon J, Gardner L. A data-based approach to diet questionnaire design and testing. Am J Epidemiol. 1986;124:453-469.
64. Thompson FE, Byers T. Dietary assessment resource manual. J Nutr. 1994;124(Suppl 11):S2245-S2317.
65. Vandelanotte C, Matthys C, De Bourdeaudhuij I. Reliability and validity of a computerised questionnaire to measure fat intake in Belgium. Nutr Res. 2004;24:621-631.
66. Subar AF, Thompson FE, Kipnis V, et al. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: the Eating at America's Table Study. Am J Epidemiol. 2001;154:1089-1099.
67. Block G, Woods M, Potosky A, Clifford C. Validation of a selfadministered diet history questionnaire using multiple diet records. J Clin Epidemiol. 1990;43:1327-1335.
68. Berkeley Nutrition Services. Block 98 Food Frequency Questionnaire. Berkeley, CA.: Berkeley Nutrition Services; 1998.