Sedentary behavior after breast cancer: motivational, demographic, disease, and health status correlates of sitting time in breast cancer survivors
Sedentary behavior is associated with poor health outcomes including obesity, lower quality of life, and mortality in breast cancer survivors. This study sought to identify motivational, demographic, and disease characteristics of breast cancer survivors who engage in greater amounts of sedentary behavior.
Multivariate linear regression models estimated associations between demographic, disease, and health characteristics with reported sitting in breast cancer survivors (n = 279; Mage = 60.7 (± 9.7) years). Regression models estimated associations between motivational factors and reported sitting adjusted for demographic and disease and health covariates.
Working at least part-time and marital status were associated various sitting domains including weekday and non-leisure sitting. Higher BMI was associated with more average daily, weekend, and weekday sitting. High income was additionally associated with less non-leisure sitting. The belief that sedentary behavior is bad for health, physical function, and self-evaluative OE, and lifestyle self-efficacy were associated with multiple sitting domains in both univariate and covariate-adjusted models.
Future work should examine the relationships between motivational, demographic, and disease predictors and objectively measured sedentary behavior over time and across different sedentary behavior domains. Understanding activity changes during and after treatment is needed to identify intervention targets and develop effective interventions.
KeywordsSedentary behavior Breast cancer survivors Motivational factors
Research reported in this publication was supported, in part, by the National Institutes of Health’s National Center for Advancing Translational Sciences, Grant Number UL1TR000150. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Dr. Phillips is also supported by the National Cancer Institute [K07CA196840]. Dr. Gavin and Dr. Welch are supported by NCI training Grant [T32 CA139139, PIs: Spring].
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflicts of interest.
All procedures performed 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 (IRB Approval Number: STU00201007).
Informed consent was obtained from all individual participants included in the study.
- 1.Hamood R et al (2018) Diabetes after hormone therapy in breast cancer survivors: a case-cohort study. J Clin Oncol 36(20):2061–2019Google Scholar
- 2.Mehta LS et al (2018) Cardiovascular disease and breast cancer: where these entities intersect: a scientific statement from the American Heart Association. Circulation 137(8):e30–e66Google Scholar
- 6.Sedentary BRN (2012) Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab 37(3):540–542Google Scholar
- 7.Lynch BM 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(2):283–288Google Scholar
- 10.Forsythe LP et al (2013) Pain in long-term breast cancer survivors: the role of body mass index, physical activity, and sedentary behavior. Breast Cancer Res Treat 137(2):617–630Google Scholar
- 17.Siddique J et al (2017) The effect of changes in physical activity on sedentary behavior: results from a randomized lifestyle intervention trial. Am J Health Promot AJHP 31(4):287–295Google Scholar
- 18.Lynch BM et al (2018) Study design and methods for the ACTIVity And TEchnology (ACTIVATE) trial. Contemp Clin Trials 64:112–117Google Scholar
- 20.Lynch BM et al (2016) Patterns and correlates of accelerometer-assessed physical activity and sedentary time among colon cancer survivors. Cancer Causes Control 27(1):59–68Google Scholar
- 21.Rhodes RE, Mark RS, Temmel CP (2012) Adult sedentary behavior: a systematic review. Am J Prev Med 42(3):e3–e28Google Scholar
- 24.Ince ML (2008) Use of a social cognitive theory-based physical-activity intervention on health-promoting behaviors of university students. Percept Mot Skills 107(3):833–836Google Scholar
- 29.Prapavessis H, Gaston A, DeJesus S (2015) The theory of planned behavior as a model for understanding sedentary behavior. Psychol Sport Exerc 19:23–32Google Scholar
- 30.Hartman SJ et al (2018) Sedentary behaviors and biomarkers among breast cancer survivors. J Phys Act Health 15(1):1–6Google Scholar
- 32.Harris PA et al (2009) Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 42(2):377–381Google Scholar
- 35.Marshall AL et al (2010) Measuring total and domain-specific sitting: a study of reliability and validity. Med Sci Sports Exerc 42(6):1094–1102Google Scholar
- 36.Welch WAL, Gillian R, Awick EA, Siddique J, McAuley E, Phillips SM (2018) Measurement of physical activity and sedentary behavior in breast cancer survivors. J Commun Support Oncol 16(1):e21–e29Google Scholar
- 38.McAuley E (1992) The role of efficacy cognitions in the prediction of exercise behavior in middle-aged adults. J Behav Med 15(1):65–88Google Scholar
- 39.McAuley E (1993) Self-efficacy and the maintenance of exercise participation in older adults. J Behav Med 16(1):103–113Google Scholar
- 40.Wójcicki TR, White SM, McAuley E (2009) Assessing outcome expectations in older adults: the multidimensional outcome expectations for exercise scale. J Gerontol B 64B(1):33–40Google Scholar
- 41.Verplanken B, Orbell S (2006) Reflections on past behavior: a self-report index of habit strength1. J Appl Social Psychol 33(6):1313–1330Google Scholar
- 43.Rhodes RE, Courneya KS, Hayduk LA (2002) Does personality moderate the theory of planned behavior in the exercise domain? J Sport Exerc Psychol 24(2):120–132Google Scholar
- 44.Rise J, Thompson M, Verplanken B (2003) Measuring implementation intentions in the context of the theory of planned behavior. Scand J Psychol 44(2):87–95Google Scholar
- 46.Shi JW et al (2017) Physical activity and sedentary behavior in breast and colon cancer survivors relative to adults without cancer. Mayo Clin Proc 92(3):391–398Google Scholar
- 47.Shuval K et al (2017) Income, physical activity, sedentary behavior, and the ‘weekend warrior’ among U.S. adults. Prev Med 103:91–97Google Scholar
- 48.D’Silva A et al (2018) Demographic and clinical correlates of accelerometer assessed physical activity and sedentary time in lung cancer survivors. Psychooncology 27(3):1042–1049Google Scholar
- 49.Henson J et al (2016) Sedentary behaviour as a new behavioural target in the prevention and treatment of type 2 diabetes. Diabetes Metab Res Rev 32(Suppl 1):213–220Google Scholar
- 51.Schmitz KH et al (2010) American College of Sports Medicine roundtable on exercise guidelines for cancer survivors. Med Sci Sports Exerc 42(7):1409–1426Google Scholar
- 52.Nahum-Shani I et al (2018) Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann Behav Med 52(6):446–462Google Scholar