Using interactive behavior change technology to intervene on physical activity and nutrition with adolescents

Adolescent Medicine: State of the Art Reviews

Volumn 18, Issue 2, 2007, Pages 383-399

  Mauriello, Leanne M ^a   Sherman, Karen J ^a   Driskell, Mary Margaret H ^a   Prochaska, Janice M ^a  

^a Pro Change Behavior Systems Incorporated   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; CHILD HEALTH CARE; EXERCISE; EXPERT SYSTEM; FEEDING BEHAVIOR; HEALTH PROMOTION; HEALTH SERVICES RESEARCH; HUMAN; INTERNET; MULTIMEDIA; OBESITY; REVIEW; TEACHING;

ADOLESCENT; ADOLESCENT HEALTH SERVICES; COMPUTER-ASSISTED INSTRUCTION; EXERCISE; EXPERT SYSTEMS; FOOD HABITS; HEALTH PROMOTION; HUMANS; INTERNET; MULTIMEDIA; OBESITY; ORGANIZATIONAL CASE STUDIES;

EID: 49249103046     PISSN: 19344287     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (75)

1. Fotheringham M, Owies D, Leslie E, Owen N. Interactive health communication in preventive medicine: internet-based strategies in teaching and research. Am J Prev Med. 2000;19: 113-120
2. Wantland D, Portillo C, Holzerner W, Slaughter R, McGhee E. The effectiveness of Web-based vs. non-Web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res. 2004;6(4): e40. Available at www.jmir.org/2004/4/e40
3. Marshall A, Owen N, Bauman A. Mediated approaches for influencing physical activity: update of the evidence on mass media, print, telephone, and website delivery of interventions. J Sci Med Sport. 2004;7: 74-80
4. Atkinson N, Gold R. The promise and challenge of eHealth interventions. Am J Health Behav. 2002;26: 494-503
5. Freimuth V, Quinn S. The contributions of health communication to eliminating health dispar-ities. Am J Public Health. 2004;94: 2053-2055
6. Gray N, Klein J, Noyce P, Sesselberg T, Cantrill J. Health information-seeking behavior in adolescence: The place of the internet Soc Sci Med. 2005;60: 1467-1478
7. US Department of Health and Human Services. Surgeon General's Call to Action to Prevent and Decrease Overweight and Obesity. Rockville, MD: US Department of Health and Human Services, Public Health Service, Office of the Surgeon General; 2001
8. US Department of Health and Human Services. Understanding mechanisms of health risk behavior change in children and adolescents. Available at: http://grants.nih.gov/grants/guide/pa-files/PA-04-121.html. Accessed July 6, 2004
9. US Department of Health and Human Services. Overweight and obesity: health consequences. Available at: www.surgeongeneral.gov/topics/obesity/ calltoaction/facLconsequences.htm. Ac-cessed July 3, 2007
10. Willett W, Manson J, Stampfer M, et al. Weight, weight change, and coronary heart disease in women: risk within the "normal" weight range. JAMA. 1995;273: 461-465
11. Muntner P, He J, Cutler J, Wildman R, Whelton P. Trends in blood pressure among children and adolescents. JAMA. 2004;291: 2107-2113
12. Gilliland F, Berhane K, Islam T, et al. Obesity and the risk of newly diagnosed asthma in school-age children. Am J Epidemiol. 2003;158: 406-415
13. Must A, Strauss R. Risks and consequences of childhood and adolescent obesity. Int J Obes Relat Metab Disord. 1999;23(suppl 2): S2-S11
14. National Institute for Health Care Management Obesity in Young Children: Impact and Inter-vention. Washington, DC: National Institute for Health Care Management Foundation; 2004
15. Finkelstein EA, Fiebelkorn IC, Wang G. National medical spending attributable to overweight and obesity: how much, and who's paying? Health Aff (Millwood). 2003;(suppl):W3-219-226. Available at: http://content.healthaffairs. org/cgi/reprint/hlthaff.w3.219vl
16. Long J, Armstrong M, Amos E, et al. Pilot using World Wide Web to prevent diabetes in adolescents. Clin Nurs Res. 2006;15: 67-79
17. Geiger B, Petri C, Myers O, et al. Using technology to teach health: a collaborative pilot project in Alabama. J Sch Health. 2002;72: 401-407
18. Baranowski T, Cullen K, Nicklas T, Thompson D, Baranowski J. School-based obesity preven-tion: a blueprint for taming the epidemic. Am J Health Behav. 2002;26: 486-493
19. Mauriello L, Driskell M, Sherman K, Johnson S, Prochaska JM, Prochaska JO. Acceptability of a school-based intervention for the prevention of adolescent obesity. J Sch Nurs. 2006;22: 269-277
20. Dietz W, Gortmaker S. Preventing obesity in children and adolescents. Annu Rev Public Health. 2001;22: 337-353 .
21. Mendlein J, Baranowski T, Pratt M. Physical activity and nutrition in children and youth: opportunities for performing assessments and conducting interventions. Prev Med. 2000;31: S150-S153
22. Prochaska J, Zabinski M, Calfas K, Sallis J, Patrick K. Pace+: interactive communication technology for behavior change in clinical settings. Am J Prev Med. 2000;19: 127-131
23. Patrick K, Sallis J, Prochaska J, et al. A multicomponent program for nutrition and physical activity change in primary care. Arch Pediatr Adolesc Med. 2001;155: 940-946
24. Patrick K, Calfas K, Norman G, et al. Randomized controlled trial of a primary care and home-based intervention for physical activity and nutrition behaviors. Arch Pediatr Adolesc Med. 2006;160: 128-136
25. Abroms L, Fagan P, Eisenberg M, Lee H, Remva N, Sorensen G. The STRENGTH Ezine: an application of e-mail for health promotion in adolescent girls. Am J Health Promot. 2004;19: 28-32
26. Williamson D, Walden H, White M, et al. Two-year internet-based randomized controlled trial for weight loss in African-American girls. Obesity (Silver Spring). 2006;14: 1231-1243
27. Horowitz M, Shilts M, Townsend M. EatFit a goal-oriented intervention that challenges adolescents to improve their eating and fitness choices. J Nutr Educ Behav. 2004;36: 43-44
28. Horowitz M, Shilts M, Townsend M. Adapting a diet analysis program for an adolescent audience. J Nutr Educ Behav. 2005;37: 43-44
29. Frenn M, Malin S, Bansal N, et al. Addressing health disparities in middle school students' nutrition and exercise. J Community Health Nurs. 2003;20: 1-14
30. Frenn M, Malin S, Brown R, et al. Changing the tide: an Internet/video exercise and low-fat diet intervention with middle-school students. Appl Nurs Res. 2005;18: 13-21
31. Robbins L, Gretebeck K, Kazanis A, Pender N. Girls on the Move program to increase physical activity participation. Nurs Res. 2006;55: 206-216
32. Jago R, Baranowski T, Baranowski J, et al. Fit for Life Boy Scout Badge: outcome evaluation of a troop and Internet intervention. Prev Med. 2006;42: 181-187
33. Long J, Stevens K. Using technology to promote self-efficacy for healthy eating in adolescents. J Nurs Scholarsh. 2004;36: 134-139
34. Prochaska J, Sallis J. A randomized controlled trial of single versus multiple health behavior change: promoting activity and nutrition among adolescents. Health Psychol. 2004;23: 314-318
35. Marks J, Campbell M, Ward D, Ribisl K, Wildemuth B, Symons M. A comparison of Web and print media for physical activity promotion among adolescent girls. J Adolesc Health. 2006;39: 96-104
36. Prochaska J, DiClemente C. Stages and processes of self-change of smoking: toward an inte-grative model of change. J Consult Clin Psychol. 1983;51: 390-395
37. Prochaska J, Velicer W, Rossi J, et al. Stages of change and decisional balance for 12 problem behaviors. Health Psychol. 1994;13: 39-46
38. Prochaska J, Velicer W, DiClemente C, Fava J. Measuring processes of change: applications to the cessation of smoking. J Consult Clin Psychol. 1988;56: 520-528
39. Negotia U. Expert Systems and Fuzzy Systems. Menlo Park, CA: Benjamin/Cummings; 1985
40. De Vries H, Brag J. Computer tailored interventions motivating people to adopt health promoting behaviors: introduction to a new approach. Patient Educ Couns. 1999;36: 99-105
41. Marcus B, Nigg C, Riebe D, Forsyth L. Interactive communication strategies: implications for population-based physical-activity promotion. Am J Prev Med. 2000;19: 121-126
42. Brug J, Oenema A, Campbell M. Past, present, and future of computer tailored nutrition education. Am J Clin Nutr. 2003;77(4 suppl):1028S-1034S
43. Munoz K, Krebs-Smith S, Ballard-Barbash R, Cleveland L. Food intake of US children and adolescents compared with recommendations. Pediatrics. 1997;100: 323-329
44. Pate RR, Freedson RS, Sallis JF, et al. Compliance with physical activity guidelines: prevalence in a population of children and youth. Ann Epidemiol. 2002;12: 303-308
45. Driskell M, Mauriello L, Sherman K. Using the transtheoretical model from childhood to adolescence: examining readiness for obesity prevention behaviors. Presented at: 134th Annual Meeting of the American Public Health Association; November 8, 2006; Boston, MA
46. Owen N, Glanz K, Sallis J, Kelder S. Evidence-based approaches to dissemination and diffusion of physical activity interventions. Am J Prev Med. 2006;31(4 suppl): S35-S44
47. Pyle S. Fighting an epidemic: The role of schools in reducing childhood obesity. Psychol Sch. 2006;43: 361-376
48. Danaher B, Jazdzewski S, McKay H, Hudson C. Bandwith constraints to using video and other rich media in behavior change websites. J Med Internet Res. 2005;7: e49. Available at: ww-w.jmir.org/2005/4/e49
49. Roderick M, Camburn E. Risk and recovery from course failure in the early years of high school. Am Educ Res J. 1999;36: 303-343
50. Eng T. Population health technologies: emerging innovations for the health of the public. Am J Prev Med. 2004;26: 237-242
51. Kohn M, Rees J, Brill S, et al. Preventing and treating adolescent obesity: a position paper of the Society for Adolescent Medicine. J Adolesc Health. 2006;38: 784-787
52. Glasgow R, Vogt T, Boles S. Evaluating the public health impact of health promotion interven-tions: The RE-AIM framework. Am J Public Health. 1999;89: 1322-1327
53. Marcus B, Owen N, Forsyth L, Cavill N, Fridinger F. Physical activity interventions using mass media, print media, and information technology. Am J Prev Med. 1998;15: 362-378
54. Ruiter R, Kessels L, Jansma B, Brag J. Increased attention for computer-tailored health com-munications: an event-related potential study. Health Psychol. 2006;25: 300-306
55. Kreuter M, Strecher V, Glassman B. One size does not fit all: The case for tailoring print materials. Ann Behav Med. 1999;21: 276-283
56. Steckler A, Allegrante J, Altman D, et al. Health education intervention strategies: recommen-dations for future research. Health Educ Q. 1995;22: 307-328
57. Prochaska JO, Prochaska JM. An update on maximum impact practices from a transtheoretical approach. In: Trafton JA, Gordon WP, eds. Best Practices in the Behavioral Management of Chronic Diseases. Vol 1. Los Altos, CA: Institute for Disease Management; 2003: 1-16
58. Prochaska, J. Moving beyond the transtheoretical model. Addictions. 2006;101: 768-774
59. Lowry R, Wechsler H, Galuska D, Fulton J, Kann L. Television viewing and its associations with overweight, sedentary lifestyle, and insufficient consumption of fruits and vegetables among US high school students. J Sch Health. 2002;72: 413-421
60. Epstein L, Paluch R, Kilanowski C, Raynor H. The effect of reinforcement or stimulus control to reduce sedentary behavior in the treatment of pediatric obesity. Health Psychol. 2004;23: 371-380
61. Hu F, Li T, Colditz G, Willett W, Manson J. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003;289: 1785-1791
62. Robinson T, Killen J. Ethnic and gender differences in the relationships between television viewing and obesity, physical activity, and dietary fat intake. J Health Educ. 2005;26: S91-S98
63. Boynton-Jarret T, Ptereson K, Wiecha J, Sobol A, Gortmaker S. Impact of television viewing patterns on fruit and vegetable consumption among adolescents. Pediatrics. 2003;112: 1321-1326
64. Koezuka N, Koo M, Allison K, et al. The relationship between sedentary activities and physical inactivity among adolescents: results from the Canadian Community Health Survey. J Adolesc Health. 2006;39: 515-522
65. Santos M, Gomes H, Mota J. Physical activity and sedentary behaviors in adolescents. Ann Behav Med. 2005;30: 21-24
66. Emmons K, McBride C, Puleo E, et al. Project PREVENT: a randomized trial to reduce multiple behavioral risk factors for colon cancer. Cancer Epidemiol Biomarkers Prev. 2005;14: 1453-1459
67. Prochaska J, Velicer W, Redding C, et al. Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healther, prevent skin cancer, and receive regular mammograms. Prev Med. 2005;41: 406-416
68. Johnson S, Driskell M, Johnson J, Prochaska JM, Zwick W, Prochaska JO. Efficacy of a transtheoretical model-based expert system for antihypertensive adherence. Dis Manag. 2006; 9: 291-301
69. Baranowski T, Baranowski J, Cullen K, et al. Squire's Quest! Dietary outcome evaluation of a multimedia game. Am J Prev Med. 2003;24: 52-61
70. Goran M, Reynolds K. Interactive multimedia for promoting physical activity (IMPACT) in children. Obes Res. 2005;13: 762-771
71. Oenema A, B rug J, Lechner L. Web based tailored nutrition education: results of a randomized control trial. Health Educ Res. 2001;16: 647-660
72. Napolitano M, Fotheringham M, Tate D, et al. Evaluation of an Internet based physical activity intervention: a preliminary investigation. Ann Behav Med. 2003;25: 92-99
73. Tate D, Wing R, Winett R. Using Internet technology to deliver a behavioral weight loss program. JAMA. 2001;285: 1172-1177
74. Downs J, Murray P, Bruine W, Penrose J, Palmgren C, Fischhoff B. Interactive video behavioral intervention to reduce adolescent females' STD risk: a randomized controlled trial. Soc Sci Med. 2004;59: 1561-1572
75. Evers K, Prochaska JO, Van Marter D, Johnson J, Prochaska JM. Transtheoretical-based bullying prevention effectiveness trials in middle schools and high schools. Educ Res. 2007; In press