Velda J Gonzalez1, Jason Beckstead2, Maureen Groer3, Susan McMillan4, Desiree Ortiz5, Sara Marrero6, Leorey N Saligan7. 1. Postdoctoral Fellow, College of Nursing, University of South Florida, Tampa, FL, United States; UPR/MDACC Partnership for Excellence in Cancer Research U54 CA096297. 2. Associate Professor, College of Public Health, University of South Florida, Tampa, FL, United States. 3. Gordon Keller Professor, College of Nursing, University of South Florida, Tampa, FL United States. 4. Distinguished Professor and Thompson Professor of Oncology Nursing and Quality of Life, College of Nursing,University of South Florida, Tampa, FL, United States. 5. Medical student, St. George's University, Grenada, West Indies. 6. Student, College of Arts and Sciences, University of South Florida, Tampa, FL, United States. 7. Tenure-Track Investigator and Chief of Symptom Biology Unit, NINR/NIH, Bethesda, MD, United States.
Abstract
OBJECTIVE: To examine the relationship of the symptoms of diarrhea and fatigue by testing a model that included multiple dimensions of the cancer related-symptom experience. METHODS: A secondary data analysis was conducted on data from the self-reports of 102 cancer patients co experiencing diarrhea and fatigue during treatment at a comprehensive cancer center in the Southeastern United States. Structural equational modeling was employed to examine the relationship between the 2variables. Fatigue and diarrhea were assessed using items from the Cancer Symptom Scale. RESULTS: The structural model results showed that (a) the model fit was adequate (b) diarrhea explained 7% of the variance in fatigue, and (c) the structural or path coefficient between diarrhea and fatigue was significant (0.267; p<0.05). Diarrhea had the strongest effect on fatigue interference (0.251). CONCLUSION: Diarrhea is a potential contributing factor to the symptom of fatigue and a potential target for interventions to prevent and ameliorate fatigue.
OBJECTIVE: To examine the relationship of the symptoms of diarrhea and fatigue by testing a model that included multiple dimensions of the cancer related-symptom experience. METHODS: A secondary data analysis was conducted on data from the self-reports of 102 cancerpatients co experiencing diarrhea and fatigue during treatment at a comprehensive cancer center in the Southeastern United States. Structural equational modeling was employed to examine the relationship between the 2variables. Fatigue and diarrhea were assessed using items from the Cancer Symptom Scale. RESULTS: The structural model results showed that (a) the model fit was adequate (b) diarrhea explained 7% of the variance in fatigue, and (c) the structural or path coefficient between diarrhea and fatigue was significant (0.267; p<0.05). Diarrhea had the strongest effect on fatigue interference (0.251). CONCLUSION:Diarrhea is a potential contributing factor to the symptom of fatigue and a potential target for interventions to prevent and ameliorate fatigue.
Entities:
Keywords:
Cancer Symptom Scale; Cancer therapy–related symptoms; Diarrhea; Fatigue; Structural equational modeling
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