How do different delivery schedules of tailored web-based physical activity advice for breast cancer survivors influence intervention use and efficacy?

Journal of Cancer Survivorship

Volumn 11, Issue 1, 2017, Pages 80-91

  Short, Ce ^a,b   Rebar, A ^a   James, El ^c,d,e   Duncan, Mj ^c,d   Courneya, Ks ^f   Plotnikoff, Rc ^d   Crutzen, R ^g   Vandelanotte, C ^a  

^a CENTRAL QUEENSLAND UNIVERSITY   (Australia)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c UNIVERSITY OF NEWCASTLE   (Australia)

^d UNIVERSITY OF NEWCASTLE   (Australia)

^e HUNTER MEDICAL RESEARCH INSTITUTE   (Australia)

^f UNIVERSITY OF ALBERTA   (Canada)

^g MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Behaviour change; Cancer; eHealth; Physical activity

Indexed keywords

BREAST NEOPLASMS; CONTROLLED STUDY; EXERCISE; FEMALE; HUMAN; INTERNET; MORTALITY; PHYSIOLOGY; QUESTIONNAIRE; RANDOMIZED CONTROLLED TRIAL; SURVIVOR; TELEMEDICINE; UTILIZATION;

BREAST NEOPLASMS; EXERCISE; FEMALE; HUMANS; INTERNET; SURVEYS AND QUESTIONNAIRES; SURVIVORS; TELEMEDICINE;

EID: 84982958252     PISSN: 19322259     EISSN: 19322267     Source Type: Journal    
DOI: 10.1007/s11764-016-0565-0     Document Type: Article

References (53)

1. Baade PD, Fritschi L, Eakin E. Non-cancer mortality among people diagnosed with cancer. Cancer Causes Control. 2006;17:287–97.
2. Eakin EG et al. Health status of long-term cancer survivors: results from an Australian population-based sample. Cancer Epidemiology Biomarkers Prevention. 2006;15(10):1969–676.
3. Fossa SD, Vassilopoulou-Sellin R, Dahl AA. Long term physical sequelae after adult-onset cancer. J Cancer Surviv. 2008;2(1):3–11.
4. Battaglini CL et al. Twenty-five years of research on the effects of exercise training in breast cancer survivors: a systematic review of the literature. World Journal of Clinical Oncology. 2014;5(2):177–90.
5. Rock, C.L., et al., Nutrition and physical activity guidelines for cancer survivors. CA: a Cancer Journal for Clinicians, 2012: p. n/a-n/a.
6. Schmitz K et al. American College of Sports Medicine roundtable on exercise guidelines for cancer survivors. Med Sci Sports Exerc. 2010;42(7):1409–26.
7. Hayes SC et al. Australian Association for Exercise and Sport Science position stand: optimising cancer outcomes through exercise. J Sci Med Sport. 2009;12(4):428–34.
8. Bluethmann SM et al. Grasping the ‘teachable moment’: time since diagnosis, symptom burden and health behaviors in breast, colorectal and prostate cancer survivors. Psycho-Oncology. 2015;24(10):1250–7.
9. Harrison S, Hayes SC, Newman B. Level of physical activity and characteristics associated with change following breast cancer diagnosis and treatment. Psycho-Oncology. 2009;18(4):387–94.
10. Short C et al. A qualitative synthesis of trials promoting physical activity behaviour change among post-treatment breast cancer survivors. J Cancer Surviv. 2013;7(4):570–81.
11. Glasgow RE et al. The RE-AIM framework for evaluating interventions: what can it tell us about approaches to chronic illness management? Patient Educ Couns. 2001;44(2):119–27.
12. Australian Institute of Health and Welfare, Breast cancer in Australia: an overview 2012, AIHW: Canberra.
13. Demark-Wahnefried W et al. Practical clinical interventions for diet, physical activity, and weight control in cancer survivors. CA Cancer J Clin. 2015;65(3):167–89.
14. Forbes CC et al. Feasibility and preliminary efficacy of an online intervention to increase physical activity in Nova Scotian cancer survivors: a randomized controlled trial. JMIR Cancer. 2015;1(2):e12.
15. Short CE et al. Designing engaging online behaviour change interventions: a proposed model of user engagement. The European Health Psychologist. 2015;17(1):32–8.
16. Lustria ML et al. A meta-analysis of web-delivered tailored health behavior change interventions. J Health Commun. 2013;18(9):1039–69.
17. Wolfenden, L., N. Nathan, and C.M. Williams, Computer-tailored interventions to facilitate health behavioural change. British Journal of Sports Medicine, 2014.
18. Kelders MS et al. Persuasive system design does matter: a systematic review of adherence to web-based interventions. J Med Internet Res. 2012;14(6):e152.
19. Kohl LF, Crutzen R, de Vries NK. Online prevention aimed at lifestyle behaviors: a systematic review of reviews. J Med Internet Res. 2013;15(7):e146.
20. Crutzen R, Ruiter RA, de Vries NK. Can interest and enjoyment help to increase use of internet-delivered interventions? Psychol Health. 2014;29(11):1227–44.
21. Oinas-Kukkonen, H. and M. Harjumaa, Persuasive Systems Design: Key Issues, Process Model, and System Features. Communications of the Association for Information Systems. 2009. 24(28):485–500.
22. Danaher BG, McKay HG, Seeley JR. The information architecture of behavior change websites. Journal of Medical Internet Research. 2005;7(2):e12.
23. Moher D et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009;62:1006–12.
24. Australian Government- Department of Health. Australia's Physical Activity and Sedentary Behaviour Guidelines 2014 [cited 2014 18/08/14]; Available from: http://www.health.gov.au/internet/main/publishing.nsf/content/health-pubhlth-strateg-phys-act-guidelines.
25. Bandura A. Health promotion by social cognitive means. Health Education and Behavior. 2004;31(2):143–64.
26. Short CE, James E, Plotnikoff RC. Theory-and evidence-based development and process evaluation of the move more for life program: a tailored-print intervention designed to promote physical activity among post-treatment breast cancer survivors. International Journal of Behavioural Nutrition and Physical Activity. 2013;10:124.
27. Short, C.E., James, E.L, Girgis, A., D’Souza, M.I, Main outcomes of the Move More for Life Trial: a randomised controlled trial examining the effects of tailored-print and targeted-print materials for promoting physical activity among post-treatment breast cancer survivors, 2015, 24(7):p 771–778.
28. Olander E et al. What are the most effective techniques in changing obese individuals' physical activity self-efficacy and behaviour: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2013;10(1):29.
29. Williams S, French D. What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behaviour-and are they the same? Health Educ Res. 2011;26:308–22.
30. O'Brien HL, Toms EG. What is user engagement? A conceptual framework for defining user engagement with technology. J Am Soc Inf Sci Technol. 2008;59(6):938–55.
31. Crutzen, R. and G.-J.Y. Peters, Scale quality: alpha is an inadequate estimate and factor-analytic evidence is needed first of all. Health Psychology Review. 2015. doi:10.1080/17437199.2015.1124240.
32. Dunn TJ, Baguley T, Brunsden V. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. Br J Psychol. 2014;105(3):399–412.
33. Brooke, J., SUS: A “quick and dirty” usability scale. Usability Evaluation in Industry (1996), London: Taylore & Francis.
34. Bangor A, Kortum PT, Miller JT. An empirical evaluation of the system usability scale. International Journal of Human-Computer Interaction. 2008;24(6):574–94.
35. Kirakowski J, Corbett M. Measuring user satisfaction. People and computers. Cambridge: Cambridge University Press; 1998.
36. Liebreich T et al. Diabetes NetPLAY: a physical activity website and linked email counselling randomized intervention for individuals with type 2 diabetes. Int J Behav Nutr Phys Act. 2009;6(1):18.
37. Jacobs D et al. A simultaneous evaluation of 10 commonly used physical activity questionnaires. Med Sci Sports and Exerc. 1993;25(1):81–91.
38. Godin G, Shepard R. Godin leisure-time exercise questionnaire. Med Sci Sports Exerc. 1997;29(6):36–8.
39. Australian Bureau of Statistics, Household income and income distribution, Australia, 2011–2012. 2013.
40. Yellen SB et al. Measuring fatigue and other anemia-related symptoms with the functional assessment of cancer therapy (FACT) measurement system. J Pain Symptom Manag. 1997;13(2):63–74.
41. Robinson Jr DW et al. The prognostic significance of patient-reported outcomes in pancreatic cancer cachexia. J Support Oncol. 2008;6(6):283–90.
42. White IR et al. Strategy for intention to treat analysis in randomised trials with missing outcome data. Br Med J. 2011;7:342.
43. Buuren Sv, Groothuis-Oudshoorn K. Mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45(3):1–67.
44. R Core Team, R: A language and environment for statistical computing. R Foundation for Statistical Computing. 2015: Vienna, Austria. URL http://www.R-project.org/.
45. StataCorp., Stata Statistical Software: Release 11. 2009: College Station, TX: StataCorp LP.
46. Webster K, Cella D, Yost K. The functional assessment of chronic illness therapy (FACIT) measurement system: properties, applications, and interpretation. Health and Quality of Life Outcomes. 2003;1(1):79.
47. Guertler D et al. Engagement and Nonusage attrition with a free physical activity promotion program: the case of 10,000 steps Australia. J Med Internet Res. 2015;17(7):e176.
48. Couper MP et al. Engagement and retention: measuring breadth and depth of participant use of an online intervention. J Med Internet Res. 2010;12(4):e52.
49. Schulz DN et al. Program completion of a web-based tailored lifestyle intervention for adults: differences between a sequential and a simultaneous approach. J Med Internet Res. 2012;14(2):e26.
50. Bélanger-Gravel A, Godin G, Amireault S. A meta-analytic review of the effect of implementation intentions on physical activity. Health Psychology Review. 2013;7(1):23–54.
51. Short C et al. Efficacy of tailored-print interventions to promote physical activity: a systematic review of randomised trials. Int J Behav Nutr Phys Act. 2011;8(1):113.
52. Vandelanotte C et al. Efficacy of sequential or simultaneous interactive computer-tailored interventions for increasing physical activity and decreasing fat intake. Ann Behav Med. 2005;29(2):138–46.
53. Short CE et al. Correlates of resistance training in post-treatment breast cancer survivors. Support Care Cancer. 2014;22(10):2757–66.