Arnold L Potosky1, Kristi D Graves2, Li Lin3, Wei Pan4, Jane M Fall-Dickson5, Jaeil Ahn6, Kristin M Ferguson7, Theresa H M Keegan8, Lisa E Paddock9, Xiao-Cheng Wu10, Rosemary Cress11, Bryce B Reeve3,12. 1. Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 2115 Wisconsin Ave NW, Suite 300, Washington, DC, 20007, USA. Arnold.Potosky@georgetown.edu. 2. Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 2115 Wisconsin Ave NW, Suite 300, Washington, DC, 20007, USA. 3. Department of Population Health Sciences, Center for Health Measurement, Duke University School of Medicine, Durham, NC, 27701, USA. 4. Department of Population Health Sciences, Duke University School of Nursing, Duke University School of Medicine, Durham, NC, 27701, USA. 5. Department of Professional Nursing Practice, School of Nursing & Health Studies, Georgetown University Medical Center, Washington, DC, 20057, USA. 6. Department of Biostatistics, Bioinformatics and Biomathematics, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA. 7. MedStar Georgetown University Hospital, Washington, DC, 20007, USA. 8. Division of Hematology and Oncology, Department of Internal Medicine, University of California-Davis Comprehensive Cancer Center, Sacramento, CA, 95817, USA. 9. Rutgers School of Public Health and Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA. 10. Sciences Center School of Public Health, Louisiana Tumor Registry, Louisiana State University Health, New Orleans, LA, 70112, USA. 11. Public Health Institute, Cancer Registry of Greater California, Sacramento, CA, USA. 12. Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
Abstract
PURPOSE: Our purpose was to describe the prevalence and predictors of symptom and function clusters in a diverse cohort of colorectal cancer survivors. METHODS: We used data from a cohort of 909 adult colorectal cancer survivors. Participants were surveyed at a median of 9 months after diagnosis to ascertain the co-occurrence of eight distinct symptom and functional domains. We used factor analysis to identify co-occurring domains and latent profile analysis (LPA) to identify subgroups of survivors with different symptom and function clusters. Multinomial logistic regression models were used to identify risk/protective factors. RESULTS: Factor analysis demonstrated a single underlying factor structure that included all eight health domains with depression and anxiety highly correlated (r = 0.87). The LPA identified three symptom and function clusters, with 30% of survivors in the low health-related quality of life (HRQOL) profile having the highest symptom burden and lowest functioning. In multivariable models, survivors more likely to be in the low HRQOL profile included being non-White, female, those with a history of cardiac or mental health conditions, and chemotherapy recipients. Survivors less likely to be in the low HRQOL profile included those with older age, greater financial well-being, and more spirituality. CONCLUSION: Nearly one-third of colorectal cancer survivors experienced a cluster of physical and psychosocial symptoms that co-occur with clinically relevant deficits in function. IMPLICATIONS FOR CANCER SURVIVORS: Improving the identification of risk factors for having the highest symptom and lowest function profile can inform the development of clinical interventions to mitigate their adverse impact on cancer survivors' HRQOL.
PURPOSE: Our purpose was to describe the prevalence and predictors of symptom and function clusters in a diverse cohort of colorectal cancer survivors. METHODS: We used data from a cohort of 909 adult colorectal cancer survivors. Participants were surveyed at a median of 9 months after diagnosis to ascertain the co-occurrence of eight distinct symptom and functional domains. We used factor analysis to identify co-occurring domains and latent profile analysis (LPA) to identify subgroups of survivors with different symptom and function clusters. Multinomial logistic regression models were used to identify risk/protective factors. RESULTS: Factor analysis demonstrated a single underlying factor structure that included all eight health domains with depression and anxiety highly correlated (r = 0.87). The LPA identified three symptom and function clusters, with 30% of survivors in the low health-related quality of life (HRQOL) profile having the highest symptom burden and lowest functioning. In multivariable models, survivors more likely to be in the low HRQOL profile included being non-White, female, those with a history of cardiac or mental health conditions, and chemotherapy recipients. Survivors less likely to be in the low HRQOL profile included those with older age, greater financial well-being, and more spirituality. CONCLUSION: Nearly one-third of colorectal cancer survivors experienced a cluster of physical and psychosocial symptoms that co-occur with clinically relevant deficits in function. IMPLICATIONS FOR CANCER SURVIVORS: Improving the identification of risk factors for having the highest symptom and lowest function profile can inform the development of clinical interventions to mitigate their adverse impact on cancer survivors' HRQOL.
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