Kelley Pettee Gabriel1, Barbara Sternfeld2, Alicia B Colvin3, Alexander R Lucas4, Carrie A Karvonen-Gutierrez5, Ellen B Gold6, Sybil Crawford7, Gail A Greendale8, Nancy E Avis9. 1. Department of Epidemiology, School of Public Health, The University of Alabama at Birmingham, RPHB 217, 1720 2nd Ave S, Birmingham, AL, 35294-0022, USA. gabrielk@uab.edu. 2. Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94610, USA. 3. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA. 4. Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, 23219, USA. 5. Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA. 6. Department of Public Health Sciences, Division of Epidemiology, University of California - Davis, Davis, CA, 95817, USA. 7. Graduate School of Nursing, University of Massachusetts Medical School, Worchester, MA, 01605, USA. 8. Department of Medicine, Division of Geriatrics, University of California Los Angeles, Los Angeles, CA, 90095, USA. 9. Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
Abstract
PURPOSE: To examine physical activity (PA) patterns from pre- to post-diagnosis, and compare these changes to women without breast cancer. To determine pre-diagnosis predictors of PA change, post-diagnosis, in breast cancer survivors (BCS). METHODS: Data were from 2314 Study of Women's Health Across the Nation (SWAN) participants, average age of 46.4 ± 2.7 years at baseline (1996-1997). In Pink SWAN, 151 women who reported an incident breast cancer diagnosis over 20 years were classified as BCS; the remaining 2163 women were controls. LOESS plots and linear mixed models were used to illustrate and compare PA changes (sports/exercise [primary measure] and total PA) from pre- to post-diagnosis (or corresponding period) in BCS versus controls. Adjusted linear regression models were used to determine pre-diagnosis predictors of at-risk post-diagnosis PA change patterns (consistently low and decreased PA). RESULTS: No differences in pre- to post-diagnosis PA (or corresponding period) were observed in BCS versus controls. Among BCS, the odds of at-risk post-diagnosis PA change patterns was 2.50 (95% CI 0.96-6.48) times higher for those who reported sleep problems at ≥ 50% (compared to 0%) of pre-diagnosis visits and 3.49 (95% CI 1.26-9.65) times higher for those who were overweight or obese at all (compared to no) pre-diagnosis visits. No other statistically significant predictors were noted. CONCLUSIONS: Age-related declines in PA were not amplified by a breast cancer diagnosis. Given the beneficial role of PA across the cancer control continuum, efforts to increase or maintain adequate PA, post-diagnosis, should be continued. IMPLICATIONS FOR CANCER SURVIVORS: While age-related physical activity declines were not amplified breast cancer diagnosis, efforts to identify breast cancer survivors at increased risk for post-diagnosis physical activity declines (or maintenance of low activity) may be a high-yield strategy to improve prognosis and quality of life.
PURPOSE: To examine physical activity (PA) patterns from pre- to post-diagnosis, and compare these changes to women without breast cancer. To determine pre-diagnosis predictors of PA change, post-diagnosis, in breast cancer survivors (BCS). METHODS: Data were from 2314 Study of Women's Health Across the Nation (SWAN) participants, average age of 46.4 ± 2.7 years at baseline (1996-1997). In Pink SWAN, 151 women who reported an incident breast cancer diagnosis over 20 years were classified as BCS; the remaining 2163 women were controls. LOESS plots and linear mixed models were used to illustrate and compare PA changes (sports/exercise [primary measure] and total PA) from pre- to post-diagnosis (or corresponding period) in BCS versus controls. Adjusted linear regression models were used to determine pre-diagnosis predictors of at-risk post-diagnosis PA change patterns (consistently low and decreased PA). RESULTS: No differences in pre- to post-diagnosis PA (or corresponding period) were observed in BCS versus controls. Among BCS, the odds of at-risk post-diagnosis PA change patterns was 2.50 (95% CI 0.96-6.48) times higher for those who reported sleep problems at ≥ 50% (compared to 0%) of pre-diagnosis visits and 3.49 (95% CI 1.26-9.65) times higher for those who were overweight or obese at all (compared to no) pre-diagnosis visits. No other statistically significant predictors were noted. CONCLUSIONS:Age-related declines in PA were not amplified by a breast cancer diagnosis. Given the beneficial role of PA across the cancer control continuum, efforts to increase or maintain adequate PA, post-diagnosis, should be continued. IMPLICATIONS FOR CANCER SURVIVORS: While age-related physical activity declines were not amplified breast cancer diagnosis, efforts to identify breast cancer survivors at increased risk for post-diagnosis physical activity declines (or maintenance of low activity) may be a high-yield strategy to improve prognosis and quality of life.
Entities:
Keywords:
Breast cancer; Cohort studies; Exercise; Survivorship
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