Brigid M Lynch1,2,3, Terry Boyle4,5,6, Elisabeth Winkler7, Jessica Occleston8,9, Kerry S Courneya10, Jeff K Vallance11. 1. Cancer Epidemiology Centre, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia. brigid.lynch@cancervic.org.au. 2. Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia. brigid.lynch@cancervic.org.au. 3. Physical Activity Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia. brigid.lynch@cancervic.org.au. 4. Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada. 5. School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada. 6. Centre for Medical Research, The University of Western Australia, Perth, WA, Australia. 7. School of Population Health, Cancer Prevention Research Centre, The University of Queensland, Brisbane, QLD, Australia. 8. Physical Activity Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia. 9. RDNS Institute, Royal District Nursing Service, Melbourne, VIC, Australia. 10. Faculty of Physical Education and Recreation, University of Alberta, Edmonton, AB, Canada. 11. Faculty of Health Disciplines, Athabasca University, Athabasca, AB, Canada.
Abstract
BACKGROUND: Understanding of the physical activity and sedentary behavior of cancer survivors is limited by reliance on self-reported data. Here, we report the correlates, and patterns of accumulation, of physical activity (light, and moderate-vigorous; MVPA) and sedentary behavior, in colon cancer survivors, using accelerometer-based assessments. METHODS: Colon cancer survivors from Alberta, Canada (n = 92), and Western Australia (n = 93) (overall response rate = 21 %) wore an Actigraph(®) GT3X+ accelerometer for seven consecutive days and completed a questionnaire in 2012-2013. Accelerometer data (60 s epochs) were summarized using Freedson activity cutpoints and were adjusted for wear time. Linear regression analyses, conducted 2014-2015, examined correlates for different intensities of activity. RESULTS: Younger age, being employed, higher family income, and lower BMI were significantly correlated with MVPA, while gender, educational attainment, and BMI were correlated with light-intensity physical activity. Gender, comorbidities, and BMI were correlated with sedentary time. MVPA did not vary by day of the week, whereas the remaining time (as a sedentary/light ratio) showed significant variation, with Saturdays being less sedentary than average [corrected]. When considering time of day, we found that evenings were when the likelihood of both MVPA and sedentary time was highest. CONCLUSIONS: The low level of MVPA and high volume of sedentary time demonstrated by these objective data highlight the need for intervention in colon cancer survivors. The correlates and accumulation patterns described by this study may better inform interventions and translational research designed to increase physical activity and reduce sedentary behavior in colon cancer survivors.
BACKGROUND: Understanding of the physical activity and sedentary behavior of cancer survivors is limited by reliance on self-reported data. Here, we report the correlates, and patterns of accumulation, of physical activity (light, and moderate-vigorous; MVPA) and sedentary behavior, in colon cancer survivors, using accelerometer-based assessments. METHODS:Colon cancer survivors from Alberta, Canada (n = 92), and Western Australia (n = 93) (overall response rate = 21 %) wore an Actigraph(®) GT3X+ accelerometer for seven consecutive days and completed a questionnaire in 2012-2013. Accelerometer data (60 s epochs) were summarized using Freedson activity cutpoints and were adjusted for wear time. Linear regression analyses, conducted 2014-2015, examined correlates for different intensities of activity. RESULTS: Younger age, being employed, higher family income, and lower BMI were significantly correlated with MVPA, while gender, educational attainment, and BMI were correlated with light-intensity physical activity. Gender, comorbidities, and BMI were correlated with sedentary time. MVPA did not vary by day of the week, whereas the remaining time (as a sedentary/light ratio) showed significant variation, with Saturdays being less sedentary than average [corrected]. When considering time of day, we found that evenings were when the likelihood of both MVPA and sedentary time was highest. CONCLUSIONS: The low level of MVPA and high volume of sedentary time demonstrated by these objective data highlight the need for intervention in colon cancer survivors. The correlates and accumulation patterns described by this study may better inform interventions and translational research designed to increase physical activity and reduce sedentary behavior in colon cancer survivors.
Entities:
Keywords:
Accelerometry; Cancer survivors; Colon cancer; Physical activity; Sedentary behavior
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