Predictors of sedentary behavior among colorectal survivors
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.
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.
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.
Identifying the characteristics of survivors who engage in high SED can help healthcare providers to target their efforts to reduce SED.
KeywordsSedentary behavior Colorectal cancer Sitting Predictors
The study was supported by the National Cancer Institute (CA 101770).
Compliance with ethical standards
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.
- 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 CrossRefPubMedGoogle 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 CrossRefPubMedGoogle 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 CrossRefPubMedGoogle 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 CrossRefPubMedGoogle Scholar
- 12.Winningham M (1993) Developing the symptom activity 27: an instrument to evaluate perception of symptom effects on activity. Oncol Nurs Forum 20:330Google Scholar
- 18.McNair DM, Lorr M, Droppleman LF (1971) Manual for the profile of mood states. Educational and Industrial Testing Services, San DiegoGoogle 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 CrossRefPubMedPubMedCentralGoogle Scholar
- 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 CrossRefPubMedGoogle 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 CrossRefPubMedGoogle 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]CrossRefPubMedGoogle 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 CrossRefPubMedGoogle Scholar