Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

Breast Cancer Survivors’ Beliefs and Preferences Regarding Technology-Supported Sedentary Behavior Reduction Interventions

1 Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
2 Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, USA
3 Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, USA
4 Department of Kinesiology, The Pennsylvania State University, University Park, PA, USA
5 Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

Special Issues: Advances in sedentary behavior research and translation

Purpose: Less time spent in sedentary behaviors is associated with improved health and disease outcomes in breast cancer survivors. However, little is known about survivors’ interest in sedentary behavior reduction interventions and how to effectively reduce this risk behavior. The purpose of this study was to explore breast cancer survivors’ interest in and preferences for technology-supported sedentary behavior reduction interventions. Methods: Breast cancer survivors (n = 279; Mage = 60.7 (SD = 9.7)) completed a battery of online questionnaires. Descriptive statistics were calculated for all data. To examine potential relationships between demographic, disease and behavioral factors, and survivors’ interest in a technology-supported sedentary behavior reduction intervention, we conducted logistic regression analyses. These same factors were examined in relation to the perceptions of the effectiveness of such intervention using multiple regression analyses. Results: On average, survivors spent 10.1 (SD = 4.3) hours/day in sedentary activity. They believed prolonged periods of sedentary behavior were harmful to their health (87.0%) and that reducing sedentary behavior could improve their health (88.4%). Survivors believed they should move around after 30–60 (56.7%) or ≥ 60 (29.9%) minutes of sedentary behavior and indicated they were most likely to replace sedentary behaviors with walking around (97.1%) or walking in place (73.4%). The majority of survivors (79.9%) was interested in participating in a technology-supported sedentary behavior reduction intervention and indicated they would use a smartphone application (61.3%) 2–3 times/day (48.0%), 6 to 7 days/week (52.0%). Most survivors (73.5%) believed reminders would help them decrease sedentary behavior and preferred they be delivered after sitting for 60 minutes (60.5%) via vibrations on a wrist worn activity tracker (77.3%) or text messages (54.4%). Conclusions: Technology-supported sedentary behavior reduction interventions may be feasible and acceptable to breast cancer survivors. Data regarding user preferences for content, features, delivery mode and design will aid researchers in developing sedentary interventions that are potentially more relevant and effective from the outset.
  Figure/Table
  Supplementary
  Article Metrics

References

1. DeSantis CE, Lin CC, Mariotto AB, et al. (2014) Cancer treatment and survivorship statistics. CA Cancer J Clin 64: 252-271.    

2. Hewitt M, Rowland JH, Yancik R (2003) Cancer survivors in the United States: age, health, and disability. J Gerontol A Biol Sci Med Sci 58: 82-91.    

3. Meadows AT, Friedman DL, Neglia JP, et al. (2009) Second neoplasms in survivors of childhood cancer: findings from the Childhood Cancer Survivor Study cohort. J Clin Oncol 27: 2356-2362.    

4. Gibbs BB, Hergenroeder AL, Katzmarzyk PT, et al. (2015) Definition, measurement, and health risks associated with sedentary behavior. Med Sci Sports Exerc 47: 1295-1300.    

5. George SM, Alfano CM, Wilder Smith A, et al. (2013) Sedentary behavior, health-related quality of life, and fatigue among breast cancer survivors. J Phys Act Health 10: 350-358.

6. George SM, Alfano CM, Groves J, et al. (2014) Objectively measured sedentary time is related to quality of life among cancer survivors. PloS One 9: e87937.    

7. Blair CK, Morey MC, Desmond RA, et al. (2014) Light-intensity activity attenuates functional decline in older cancer survivors. Med Sci Sports Exerc 46: 1375-1383.    

8. Lynch BM, Dunstan DW, Healy GN, et al. (2010) Objectively measured physical activity and sedentary time of breast cancer survivors, and associations with adiposity: findings from NHANES (2003–2006). Cancer Causes Control 21: 283-288.    

9. George SM, Smith AW, Alfano CM, et al. (2013) The association between television watching time and all-cause mortality after breast cancer. J Cancer Surviv 7: 247-252.    

10. Phillips SM, Dodd KW, Steeves J, et al. (2015) Physical activity and sedentary behavior in breast cancer survivors: New insight into activity patterns and potential intervention targets. Gynecol Oncol 138: 398-404.    

11. Sabiston CM, Brunet J, Vallance JK, et al. (2014) Prospective examination of objectively assessed physical activity and sedentary time after breast cancer treatment: sitting on the crest of the teachable moment. Cancer Epidemiol Biomarkers Prev 23: 1324-1330.

12. Craft LL, Zderic TW, Gapstur SM, et al. (2012) Evidence that women meeting physical activity guidelines do not sit less: an observational inclinometry study. Int J Behav Nutr Phys Act 9: 122.    

13. Bellizzi KM, Rowland JH, Jeffery DD, et al. (2005) Health behaviors of cancer survivors: examining opportunities for cancer control intervention. J Clin Oncol 23: 8884-8893.    

14. Courneya KS, Katzmarzyk PT, Bacon E (2005) Physical activity and obesity in Canadian cancer survivors: population-based estimates from the 2005 Canadian Community Health Survey. Cancer 112: 2475-2482.

15. Blanchard CM, Courneya KS, Stein K; American Cancer Society's SCS, II. (2008) Cancer survivors' adherence to lifestyle behavior recommendations and associations with health-related quality of life: results from the American Cancer Society's SCS-II. J Clin Oncol 26: 2198-2204.

16. Phillips SM, Mailey EL, Conroy DE, et al. (2015) Objectively measured physical activity and sedentary behavior and quality of life indicators in survivors of breast cancer. Cancer 121: 4044-4052.

17. Thraen-Borowski KM, Trentham-Dietz A, Edwards DF, et al. (2013) Dose-response relationships between physical activity, social participation, and health-related quality of life in colorectal cancer survivors. J Cancer Surviv 7: 369-378    

18. Lynch BM, Dunstan DW, Vallance JK, et al. (2013) Don't take cancer sitting down: a new survivorship research agenda. Cancer 119: 1928-1935.    

19. Bandura A (1997) Self-Efficacy: The exercise of control. New York, NY: WH Freeman Company.

20. Bluethmann SM, Vernon SW, Gabriel KP, et al. (2015) Taking the next step: a systematic review and meta-analysis of physical activity and behavior change interventions in recent post-treatment breast cancer survivors. Breast Cancer Res Treat 149: 331-342.    

21. Prince SA, Saunders TJ, Gresty K, et al. (2014) A comparison of the effectiveness of physical activity and sedentary behaviour interventions in reducing sedentary time in adults: a systematic review and meta-analysis of controlled trials. Obes Rev 15: 905-919.    

22. Conroy D, Maher J, Elavasky S, et al. (2013) Sedentary behavior as a daily procress regulated by habits and intentions. Health Psychol 32: 1149-1157.    

23. Ibrahim EM, Al-Homaidh A (2011) Physical activity and survival after breast cancer diagnosis: meta-analysis of published studies. Med Oncol 28: 753-765.    

24. Hewitt M, Greenfield S, Stoval E, editors. (2005) From cancer patient to cancer survivor: lost in transition. Washington, DC: National Academies Press.

25. Lee MK, Yun YH, Park HA, et al. (2014) A web-based self-management exercise and diet intervention for breast cancer survivors: Pilot randomized controlled trial. Int J Nurs Stud 51: 1557-1567

26. Alfano CM, Bluethmann SM, Tesauro G (2015) NCI funding trends and priorities in physical activity and energy balance research among cancer survivors. J Natl Cancer Inst 108: djv285

27. Phillips SM, Alfano CM, Perna FM, et al. (2014) Accelerating translation of physical activity and cancer survivorship research into practice: recommendations for a more integrated and collaborative approach. Cancer Epidemiol Biomarkers Prev 23: 687-699.

28. Riley WT, Glasgow RE, Etheredge L, et al. (2013) Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise. Clin Transl Med 2: 10.    

29. Glasgow RE, Chambers D (2012) Developing robust, sustainable, implementation systems using rigorous, rapid and relevant science. Clin Transl Sci 5: 48-55.    

30. Ware JE, Jr., Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30: 473-483.

31. Cella D, Yount S, Rothrock N, et al. (2007) The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Med Care 45: S3-S11.

32. Godin G, Shephard RJ (1985) A simple method to assess exercise behavior in the community. Can J Appl Sport Sci 10: 141-146.

33. Amireault S, Godin G, Lacombe J, et al. (2015) Validation of the Godin-Shepard Leisure-Time Phyiscal Activity Questionnaire classification coding system using accelerometer assessment among breast cancer survivors. J Cancer Surviv 9: 532-540.    

34. Marshall AL, Miller YD, Burton NW, et al. (2010) Measuring total and domain-specific sitting: a study of reliability and validity. Med Sci Sports Exerc 42: 1094-1102.

35. Wijndaele K, DE Bourdeaudhuij I, Godino JG, et al. (2014) Reliability and validity of domain-specific last 7-d sedentary time questionnaire. Med Sci Sports Exerc 46: 1248-1260.    

36. Corp. I. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY 2013.

37. Lynch BM, Boyle T, Winkler E, et al. (2016) Patterns and correlates of accelerometer-assessed physical activity and sedentary time among colon cancer survivors. Cancer Causes Control 27: 59-68.

38. Owen N, Healy GN, Matthews CE, et al. (2010) Too much sitting: the population-health science of sedentary behavior. Exerc Sport Sci Rev 38: 105-113.    

39. Thorp AA, Owen N, Neuhaus M, et al. (2011) Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996–2011. Am J Prev Med 41: 207-215.

40. Bey L, Hamilton MT (2003) Suppression of skeletal muscle lipoprotein lipase activity during physical inactivity: a molecular reason to maintain daily low-intensity activity. J Physiol 551: 673-682.    

41. Hamilton MT, Hamilton DG, Zderic TW (2004) Exercise physiology versus inactivity physiology: an essential concept for understanding lipoprotein lipase regulation. Exerc Sport Sci Rev 32: 161-166.

42. Healy GN, Dunstan DW, Salmon J, et al. (2008) Breaks in sedentary time: Beneficial associations with metabolic risk. Diabetes Care 31: 661-666.    

43. Matei R, Thune-Boyle I, Hamer M, et al. (2015) Acceptability of a theory-based sedentary behaviour reduction intervention for older adults ('On Your Feet to Earn Your Seat'). BMC Public Health 15: 606.

44. Pellegrini CA, Hoffman SA, Daly ER, et al. (2015) Acceptability of smartphone technology to interrupt sedentary time in adults with diabetes. Transl Behav Med 5: 307-314.    

45. Healy GN, Eakin EG, Lamontagne AD, et al. (2015) Reducing sitting time in office workers: short-term efficacy of a multicomponent intervention. Prev Med 57: 43-48.

46. Greenwood-Hickman MA, Renz A, Rosenberg DE (2015) Motivators and barriers to reducing sedentary behavior among overweight and obese older adults. Gerontologist 56.

47. Gardner B, Smith L, Lorencatto F, et al. (2016) How to reduce sitting time? A review of behaviour change strategies used in sedentary behaviour reduction interventions among adults. Health Psychol Rev 10: 89-112.

48. Trinh L, Arbour-Nicitopoulos KP, Sabiston CM, et al. (2015) A qualitative study exploring the perceptions of sedentary behavior in prostate cancer survivors receiving androgen-deprivation therapy. Oncol Nurs Forum 42: 398-406.    

49. Parry C, Kent EE, Mariotto AB (2011) Cancer survivors: a booming population. Cancer Epidemiol Biomarkers Prev 20: 1996-2005.

50. Dunstan DW, Howard B, Healy GN, et al. (2012) Too much sitting-a health hazard. Diabetes Res Clin Pract 97: 368-376.    

51. Sardinha LB, Ekelund U, Dos Santos L, et al. (2015) Breaking-up sedentary time is associated with impairment in activities of daily living. Exp Gerontol 72: 278.    

52. Bond DS, Thomas JG, Raynor HA, et al. (2014) B-MOBILE-a smartphone-based intervention to reduce sedentary time in overweight/obese individuals: a within-subjects experimental trial. PLoS One 9: e100821.    

53. Worden K, Manson G (2007) The application of machine learning to structural health monitoring. Philos Trans A Math Phys Eng Sci 365: 515-537.    

54. Kumar S, Nilsen WJ, Abernethy A, et al. (2013) Mobile health technology evaluation: the mHealth evidence workshop. Am J Prev Med 45: 228-236.    

55. Lizotte DJ, Bowling M, Murphy SA (2010) Efficient reinforcement learning with multiple reward functions for randomized controlled trial analysis. In Proceedings of Inter Conf Machine Learning (ICML) 695-702.

56. Celis-Morales CA, Perez-Bravo F, Ibanez L, et al. (2012) Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers. PLoS One 7: e36345.

57. Boyle T, Lynch BM, Courneya KS, et al. (2015) Agreement between accelerometer-assessed and self-reported physical activity and sedentary time in colon cancer survivors. Support Care Cancer 23: 1121-1126.    

58. Van Cauwenberg J, Van Holle V, De Bourdeaudhuij I, et al. (2014) Older adults’ reporting of specific sedentary behaviors: validity and reliability. BMC Public Health 14: 734.    

59. Hekler EB, Buman MP, Haskell WL, et al. (2014) Reliability and validity of CHAMPS self-reported sedentary-to-vigorous intensity physical activity in older adults. J Phys Act Health 9: 225-236.

60. Gardiner PA, Clark BK, Healy GN, et al. (2011) Measuring older adults' sedentary time: reliability, validity, and responsiveness. Med Sci Sports Exerc 43: 2127-2133.    

61. Lee JM, Kim Y, Welk GJ (2014) Validity of consumer-based physical activity monitors. Med Sci Sports Exerc 46: 1840-1848.    

62. Freedson P, Bowles HR, Troiano R, et al. (2012) Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field. Med Sci Sports Exerc 44: S1-4.    

63. Healy GN, Clark BK, Winkler EA, et al. (2011) Measurement of adults' sedentary time in population-based studies. Am J Prev Med 41: 216-227.    

64. Sandroff BM, Dlugonski D, Weikert M, et al. (2012) Physical activity and multiple sclerosis: new insights regarding inactivity. Acta Neurol Scand 126: 256-262.

65. Vallance JK, Winkler EA, Gardiner PA, et al. (2011) Associations of objectively-assessed physical activity and sedentary time with depression: NHANES (2005–2006). Prev Med 53: 284-288.    

66. Santos DA, Silva AM, Baptista F, et al. (2012) Sedentary behavior and physical activity are independently related to functional fitness in older adults. Exp Gerontol 47: 908-912.    

67. Lynch BM (2010) Sedentary behavior and cancer: a systematic review of the literature and proposed biological mechanisms. Cancer Epidemiol Biomarkers Prev 19: 2691-2709.

68. Owen N, Sugiyama T, Eakin EE, et al. (2011) Adults' sedentary behavior determinants and interventions. Am J Prev Med 41: 189-196.    

69. Phillips SM, Lloyd GR, Awick EA, et al. (2016) Correlates of objectively measured sedentary behavior in breast cancer survivors. Cancer Causes Control 27: 787-795.

70. Collins LM, Murphy SA, Strecher V (2007) The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. Am J Prev Med 32: S112-118.    

71. Backman CL, Harris SR, Chisholm JA, et al. (1997) Single-subject research in rehabilitation: a review of studies using AB, withdrawal, multiple baseline, and alternating treatments designs. Arch Phys Med Rehabil 78: 1145-1153.    

72. Norman GJ (2008) Answering the "what works?". Question in health behavior change. Am J Prev Med 34: 449-450.

73. Gibbs BB, Hergenroeder AL, Katzmarzyk PT, et al. (2015) Definition, Measurement, and Health Risks Associated with Sedentary Behavior. Med Sci Sports Exerc 47: 1295-1300.    

74. Stange KC, Glasgow RE. Contextual Factors: The Importance of Considering and Reporting on Context in Research on the Patient-Centered Medical Home. Agency for Healthcare Research and Quality. Availible from: http://www.ahrq.gov/.

Copyright Info: © 2016, Siobhan M. Phillips, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Article outline

Show full outline
Copyright © AIMS Press All Rights Reserved