A Comparison of Web and Print Media for Physical Activity Promotion among Adolescent Girls

Journal of Adolescent Health

Volumn 39, Issue 1, 2006, Pages 96-104

  Marks, Julie T ^a   Campbell, Marci K ^a   Ward, Dianne S ^a   Ribisl, Kurt M ^b   Wildemuth, Barbara M ^c   Symons, Michael J ^b  

^a University of North Carolina   (United States)

^b IL   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Girls; Internet; Media interventions; Middle school; Physical activity; Print; Web

Indexed keywords

ADOLESCENCE; ADOLESCENT; ARTICLE; ARTS AND ILLUSTRATION; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; FEMALE; GIRL; HEALTH PROMOTION; HOME; HUMAN; INTERMETHOD COMPARISON; INTERNET; OUTCOME ASSESSMENT; PHYSICAL ACTIVITY; PRIORITY JOURNAL; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL; SELF CONCEPT; SELF REPORT; STATISTICAL SIGNIFICANCE;

ADOLESCENT; ADOLESCENT BEHAVIOR; CHILD; EXERCISE; FEMALE; HEALTH BEHAVIOR; HEALTH PROMOTION; HUMANS; INTERNET; INTERVENTION STUDIES; MASS MEDIA; SELF EFFICACY; TREATMENT OUTCOME;

EID: 33745008143     PISSN: 1054139X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jadohealth.2005.11.002     Document Type: Article

References (39)

1. Mokdad A.H., Serdula M.K., Dietz W.H., et al. The continuing epidemic of obesity in the United States. JAMA 284 3 (2000) 1650-1651
2. Troaiano R.P., and Flegal K.M. Overweight children and adolescents. description, epidemiology, and demographics. Pediatrics 101 3 (1998) 497-504
3. Gordon-Larsen P., McMurray R.G., and Popkin B.M. Adolescent physical activity and inactivity vary by ethnicity. the National Longitudinal Study of Adolescent Health. J Pediatr 135 (1999) 301-306
4. Sallis J.F., Zakarian J.M., Hovell M.F., and Hofstetter C.R. Ethnic, socioeconomic, and sex differences in physical activity among adolescents. J Clin Epidemiol 49 2 (1996) 125-134
5. Stone E.J., McKensie T.L., and Welk G.J. Effects of physical activity interventions in youth. Am J Prev Med 15 4 (1998) 298-315
6. Healthy People 2010. Understanding and Improving Health. (2000), U.S. Department of Health and Human Services, Washington, DC
7. Marcus B.H., Owen N., Forsyth L., et al. Physical activity interventions using mass media, print media, and information technology. Am J Prev Med 15 4 (1998) 362-378
8. Marshall A.L., Bauman A.E., Owen N., et al. Population-based randomized controlled trial of a stage-targeted physical activity intervention. Ann Behav Med 25 3 (2003) 194-202
9. Roberts D.F., Foehr U.G., Rideout V.J., and Brodie M. Kids and Media at the New Millennium (1999), Kaiser Family Foundation, Menlo Park, CA
10. Generation Rx.com. How Young People Use the Internet for Health Information (2001), Kaiser Family Foundation, Menlo Park, CA
11. U.S. Department of Commerce, Economics and Statistics Administration, National Telecommunications and Information Administration. A Nation Online. How Americans are Expanding their Use of the Internet (2002), U.S. Department of Commerce, Washington, DC
12. Borzekowski D.L., and Rickert V.I. Adolescent cybersurfing for health information. Arch Pediatr Adolesc Med 155 (2001) 813-817
13. Lieberman D.A. Using interactive media in communication campaigns for children and adolescents. In: Rice R.E., and Atkin C.K. (Eds). Public Communication Campaigns. 3rd edn. (2001), Sage Publications, Newbury Park, CA 373-388
14. LaFerle C., Edwards S.M., and Lee W. Teens' use of traditional media and the Internet. J Advert Res 39 2 (2000) 55-65
15. O'Hara K., and Sellen A. A Comparison of Reading Paper and On-line Documents (1997), Computer Human Interaction, Atlanta, GA
16. Hsu R.C. After 400 years, print is still superior. Commun ACM 40 10 (1997) 27-28
17. Schramm W. Channels and audiences. In: Pool I., and Frey F. (Eds). Handbook of Communication (1973), Rand McNally College Publishing Co, Chicago, IL 116-129
18. Marshall A., Leslie E., Bauman A., Marcus B., and Owen N. Print versus website physical activity programs. Am J Prev Med 25 2 (2003) 88-94
19. Schulz K., and Grimes D. Generation of allocation sequences in randomised trials. chance, not choice. Lancet 359 (2002) 515-519
20. Nutrition and Your Health. Dietary Guidelines for Americans (2000), U.S. Department of Health and Human Services, U.S. Department of Agriculture, Washington, DC
21. Physical Activity and Health. A Report of the Surgeon General (1996), U.S. Department of Health and Human Services, Atlanta, GA
22. Owen N., Lee C., Naccarella L., and Haag K. Exercise by mail. a mediated behavior change program for aerobic exercise. J Sports Psychol 1987 9 (1987) 346-357
23. Bandura A. Social Foundations of Thought and Action. A Social Cognitive Theory (1986), Prentice-Hall, Englewood Cliffs, NJ
24. Azjen I., and Fishbein M. Understanding Attitudes and Predicting Social Behavior (1980), Prentice Hall, Englewood Cliffs, NJ
25. Reynolds K.D., Killen J.D., Bryson S.W., et al. Psychosocial predictors of physical activity in adolescents. Prev Med 19 5 (1990) 541-551
26. Sallis J.F., Simons-Morton B.G., Stone E.J., et al. Determinants of physical activity and interventions in youth. Med Sci Sports Exerc 24 6 suppl (1992) S248-S257
27. Motl R.W., Dishman R.K., Trost S.G., et al. Factorial validity and invariance of questionnaires measuring social- cognitive determinants of physical activity among adolescent girls. Prev Med 31 5 (2000) 584-594
28. Motl R.W., Dishman R.K., Saunders R.P., et al. Examining social-cognitive determinants of intentions and physical activity among black and white adolescent girls using structural equation modeling. Health Psychol 21 (2002) 459-467
29. Youth Risk Behavior Surveillance System. (1997), Centers for Disease Control, Atlanta, GA
30. Centers for Disease Control and Prevention. Youth Risk Behavior Surveillance System: Youth 2001 [cited 2004 Nov 14]. Available from: http://apps.nccd.cdc.gov/yrbss/
31. Anandarajan M., Simmers C., and Igbaria M. An exploratory investigation of the antecedents and impact of internet usage. an individual perspective. Behav Inf Technol 19 1 (2000) 69-85
32. National Center for Education and Statistics, U.S. Department of Education. Durham County public school statistics 2002 [cited 2004 Nov 14]. Available from: http://nces.ed.gov/index.html
33. Chaiken S. Heuristic versus systematic information processing. J Pers Soc Psychol 39 (1980) 752-766
34. Marcus B.H., Bock B.C., Pinto B.M., et al. Efficacy of an individualized, motivationally-tailored physical activity intervention. Ann Behav Med 20 3 (1998) 174-180
35. Marcus B.H., Emmons K.M., Simkin-Silverman L.R., et al. Evaluation of motivationally tailored vs. standard self-help physical activity interventions at the workplace. Am J Health Promot 12 4 (1998) 246-253
36. Napolitano M.A., and Marcus B. Targeting and tailoring physical activity information using print and information technologies. Exerc Sport Sci Rev 30 3 (2002) 122-128
37. Napolitano M.A., Fotheringham M., Tate D., et al. Evaluation of an internet-based physical activity intervention. a preliminary investigation. Ann Behav Med 25 2 (2003) 92-99
38. Ott A.E., Pate R.R., Trost S.G., et al. The use of uniaxial and triaxial accelerometers to measure children's "free-play" physical activity. Pediatr Exerc Sci 12 (2000) 360-370
39. Trost S.G., Ward D.S., McGraw B., and Pate R.R. Validity of the Previous Day (PDPAR) in fifth-grade children. Pediatr Exerc Sci 11 (1999) 341-348