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Predictors of sedentary behavior among colorectal survivors

Supportive Care in Cancer volume 27, pages 2049–2056 (2019)Cite this article

Abstract

Purpose

Colorectal cancer (CRC) survivors spend approximately 9 h per day in sedentary behavior (SED), despite recommendations to reduce sitting time. The purpose of this study was to examine predictors of SED among CRC survivors over a 1-year duration.

Methods

Male and female CRC survivors (< 5 years since diagnosis) participated in a 12-week moderate-to-vigorous physical activity randomized controlled trial. To measure SED, participants were given a CSA monitor to wear for three consecutive days (including one weekend day). Additionally, fitness (Treadmill walk test), body composition (bioelectrical impedance analysis) and questionnaires (Profile of Mood States, Exercise Processes of Change and Self-Efficacy for Exercise) were administered. Follow-up assessments were completed at a 3-month, 6-month, and 12-month follow-up.

Results

Forty-six colorectal survivors (average age = 57.3 ± 9.7 years) completed the 12-month study. Using latent class models, four classes of SED behavior over time were identified: class 1 (high and sustained SED over time), class 2 (low and sustain SED over time), class 3 (increasing SED over time), and class 4 (high SED through 6-months, followed be a marked decrease at 12-months). Males were more likely to be in class 1, while majority of females were in class 3. Those CRC survivors with a better mood at baseline were in class 2, while those with poor fitness, high body fat, and higher cognitive processes at baseline were in class 3.

Conclusion

Identifying the characteristics of survivors who engage in high SED can help healthcare providers to target their efforts to reduce SED.

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References

  1. Ekelund U, Steene-Johannessen J, Brown WJ, Fagerland MW, Owen N, Powell KE, Bauman A, Lee IM, Lancet Physical Activity series 2 Executive C, Lancet Sedentary Behaviour Working G (2016) Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet 388(10051):1302–1310. https://doi.org/10.1016/S0140-6736(16)30370-1

    Article  Google Scholar 

  2. Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, Alter DA (2015) Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med 162(2):123–132. https://doi.org/10.7326/M14-1651

    Article  PubMed  Google Scholar 

  3. Chau JY, Grunseit AC, Chey T, Stamatakis E, Brown WJ, Matthews CE, Bauman AE, van der Ploeg HP (2013) Daily sitting time and all-cause mortality: a meta-analysis. PLoS One 8(11):e80000. https://doi.org/10.1371/journal.pone.0080000

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Grontved A, Hu FB (2011) Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. JAMA 305(23):2448–2455. https://doi.org/10.1001/jama.2011.812

    Article  PubMed  PubMed Central  Google Scholar 

  5. Kushi LH, Doyle C, McCullough M, Rock CL, Demark-Wahnefried W, Bandera EV, Gapstur S, Patel AV, Andrews K, Gansler T, American Cancer Society N, Physical Activity Guidelines Advisory C (2012) American Cancer Society guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. CA Cancer J Clin 62(1):30–67. https://doi.org/10.3322/caac.20140

    Article  Google Scholar 

  6. Lynch BM (2010) Sedentary behavior and cancer: a systematic review of the literature and proposed biological mechanisms. Cancer Epidemiol Biomark Prev 19(11):2691–2709. https://doi.org/10.1158/1055-9965.EPI-10-0815

    Article  Google Scholar 

  7. Lynch BM, Boyle T, Winkler E, Occleston J, Courneya KS, Vallance JK (2016) Patterns and correlates of accelerometer-assessed physical activity and sedentary time among colon cancer survivors. Cancer Causes Control 27(1):59–68. https://doi.org/10.1007/s10552-015-0683-4

    Article  PubMed  Google Scholar 

  8. Lynch BM, Dunstan DW, Vallance JK, Owen N (2013) Don’t take cancer sitting down: a new survivorship research agenda. Cancer 119(11):1928–1935. https://doi.org/10.1002/cncr.28028

    Article  PubMed  Google Scholar 

  9. Lynch BM, Courneya KS, Sethi P, Patrao TA, Hawkes AL (2014) A randomized controlled trial of a multiple health behavior change intervention delivered to colorectal cancer survivors: effects on sedentary behavior. Cancer 120(17):2665–2672. https://doi.org/10.1002/cncr.28773

    Article  PubMed  Google Scholar 

  10. Prince SA, Reed JL, McFetridge C, Tremblay MS, Reid RD (2017) Correlates of sedentary behaviour in adults: a systematic review. Obes Rev 18(8):915–935. https://doi.org/10.1111/obr.12529

    Article  CAS  PubMed  Google Scholar 

  11. Pinto BM, Papandonatos GD, Goldstein MG, Marcus BH, Farrell N (2013) Home-based physical activity intervention for colorectal cancer survivors. Psychooncology 22(1):54–64. https://doi.org/10.1002/pon.2047

    Article  PubMed  Google Scholar 

  12. Winningham M (1993) Developing the symptom activity 27: an instrument to evaluate perception of symptom effects on activity. Oncol Nurs Forum 20:330

    Google Scholar 

  13. Freedson PS, Melanson E, Sirard J (1998) Calibration of the computer science and applications, Inc. accelerometer. Med Sci Sports Exerc 30(5):777–781

    Article  CAS  PubMed  Google Scholar 

  14. Melanson EL Jr, Freedson PS (1995) Validity of the computer science and applications, Inc. (CSA) activity monitor. Med Sci Sports Exerc 27(6):934–940

    Article  PubMed  Google Scholar 

  15. Pober DM, Freedson PS, Kline GM, McInnis KJ, Rippe JM (2002) Development and validation of a one-mile treadmill walk test to predict peak oxygen uptake in healthy adults ages 40 to 79 years. Can J Appl Physiol 27(6):575–589

    Article  PubMed  Google Scholar 

  16. Widrick J, Ward A, Ebbeling C, Clemente E, Rippe JM (1992) Treadmill validation of an over-ground walking test to predict peak oxygen consumption. Eur J Appl Physiol Occup Physiol 64(4):304–308

    Article  CAS  PubMed  Google Scholar 

  17. Roubenoff R, Baumgartner RN, Harris TB, Dallal GE, Hannan MT, Economos CD, Stauber PM, Wilson PW, Kiel DP (1997) Application of bioelectrical impedance analysis to elderly populations. J Gerontol A Biol Sci Med Sci 52(3):M129–M136

    Article  CAS  PubMed  Google Scholar 

  18. McNair DM, Lorr M, Droppleman LF (1971) Manual for the profile of mood states. Educational and Industrial Testing Services, San Diego

    Google Scholar 

  19. Marcus BH, Selby VC, Niaura RS, Rossi JS (1992) Self-efficacy and the stages of exercise behavior change. Res Q Exerc Sport 63(1):60–66. https://doi.org/10.1080/02701367.1992.10607557

    Article  CAS  PubMed  Google Scholar 

  20. Marcus BH, Rossi JS, Selby VC, Niaura RS, Abrams DB (1992) The stages and processes of exercise adoption and maintenance in a worksite sample. Health Psychol 11(6):386–395

    Article  CAS  PubMed  Google Scholar 

  21. Parry C, Kent EE, Mariotto AB, Alfano CM, Rowland JH (2011) Cancer survivors: a booming population. Cancer Epidemiol Biomark Prev 20(10):1996–2005. https://doi.org/10.1158/1055-9965.EPI-11-0729

    Article  Google Scholar 

  22. Kulinski JP, Khera A, Ayers CR, Das SR, de Lemos JA, Blair SN, Berry JD (2014) Association between cardiorespiratory fitness and accelerometer-derived physical activity and sedentary time in the general population. Mayo Clin Proc 89(8):1063–1071. https://doi.org/10.1016/j.mayocp.2014.04.019

    Article  PubMed  PubMed Central  Google Scholar 

  23. Swartz AM, Tarima S, Miller NE, Hart TL, Grimm EK, Rote AE, Strath SJ (2012) Prediction of body fat in older adults by time spent in sedentary behavior. J Aging Phys Act 20(3):332–344

    Article  Google Scholar 

  24. Mun J, Kim Y, Farnsworth JL, Suh S, Kang M (2017) Association between objectively measured sedentary behavior and a criterion measure of obesity among adults. Am J Hum Biol 30. https://doi.org/10.1002/ajhb.23080

  25. Myers A, Gibbons C, Finlayson G, Blundell J (2017) Associations among sedentary and active behaviours, body fat and appetite dysregulation: investigating the myth of physical inactivity and obesity. Br J Sports Med 51(21):1540–1544. https://doi.org/10.1136/bjsports-2015-095640

    Article  PubMed  Google Scholar 

  26. Lynch BM, Dunstan DW, Healy GN, Winkler E, Eakin E, Owen N (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(2):283–288. https://doi.org/10.1007/s10552-009-9460-6

    Article  PubMed  Google Scholar 

  27. Lynch BM, Dunstan DW, Winkler E, Healy GN, Eakin E, Owen N (2011) Objectively assessed physical activity, sedentary time and waist circumference among prostate cancer survivors: findings from the National Health and nutrition examination survey (2003-2006). Eur J Cancer Care (Engl) 20(4):514–519. https://doi.org/10.1111/j.1365-2354.2010.01205.x. ECC1205 [pii]

  28. Vallance JK, Boyle T, Courneya KS, Lynch BM (2015) Accelerometer-assessed physical activity and sedentary time among colon cancer survivors: associations with psychological health outcomes. J Cancer Surviv 9(3):404–411. https://doi.org/10.1007/s11764-014-0409-8

    Article  PubMed  Google Scholar 

  29. Edwards MK, Loprinzi PD (2016) Effects of a sedentary behavior-inducing randomized controlled intervention on depression and mood profile in active young adults. Mayo Clin Proc 91(8):984–998. https://doi.org/10.1016/j.mayocp.2016.03.021

    Article  PubMed  Google Scholar 

  30. Han H, Gabriel KP, Kohl HW (2015) Evaluations of validity and reliability of a transtheoretical model for sedentary behavior among college students. Am J Health Behav 39(5):601–609. https://doi.org/10.5993/AJHB.39.5.2

    Article  PubMed  Google Scholar 

  31. Pinto B, Dunsiger S, Stein K (2017) Does a peer-led exercise intervention affect sedentary behavior among breast cancer survivors? Psychooncology 26(11):1907–1913. https://doi.org/10.1002/pon.4255

    Article  PubMed  Google Scholar 

  32. Chau JY, der Ploeg HP, van Uffelen JG, Wong J, Riphagen I, Healy GN, Gilson ND, Dunstan DW, Bauman AE, Owen N, Brown WJ (2010) Are workplace interventions to reduce sitting effective? A systematic review. Prev Med 51(5):352–356. https://doi.org/10.1016/j.ypmed.2010.08.012

    Article  PubMed  Google Scholar 

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Acknowledgments

The study was supported by the National Cancer Institute (CA 101770).

Author information

Affiliations

  1. College of Nursing, University of South Carolina, 1601 Greene Street, Columbia, SC, 29208, USA

    Madison M. Kindred & Bernardine M. Pinto

  2. The Miriam Hospital & School of Public Health, Brown University, 22 Richmond Street, Providence, RI, 02906, USA

    Shira I. Dunsiger

Authors
  1. Madison M. Kindred
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  2. Bernardine M. Pinto
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  3. Shira I. Dunsiger
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Corresponding author

Correspondence to Madison M. Kindred.

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All procedures in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

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Cite this article

Kindred, M.M., Pinto, B.M. & Dunsiger, S.I. Predictors of sedentary behavior among colorectal survivors. Support Care Cancer 27, 2049–2056 (2019). https://doi.org/10.1007/s00520-018-4452-2

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  • DOI: https://doi.org/10.1007/s00520-018-4452-2

Keywords

  • Sedentary behavior
  • Colorectal cancer
  • Sitting
  • Predictors