TY - JOUR
T1 - Trajectories of evening fatigue in oncology outpatients receiving chemotherapy
AU - Wright, Fay
AU - D'Eramo Melkus, Gail
AU - Hammer, Marilyn
AU - Schmidt, Brian L.
AU - Knobf, M. Tish
AU - Paul, Steven M.
AU - Cartwright, Frances
AU - Mastick, Judy
AU - Cooper, Bruce A.
AU - Chen, Lee May
AU - Melisko, Michelle
AU - Levine, Jon D.
AU - Kober, Kord
AU - Aouizerat, Bradley E.
AU - Miaskowski, Christine
N1 - Funding Information:
This study was funded by the National Cancer Institute ( CA134900 ). The study also was partially supported by a graduate assistantship through the New York University College of Nursing . Dr. Miaskowski is supported by a grant from the American Cancer Society and National Cancer Institute ( CA168960 ). The authors have no disclosures.
Publisher Copyright:
© 2015 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.
PY - 2015/8/1
Y1 - 2015/8/1
N2 - Context Fatigue is a distressing persistent sense of physical tiredness that is not proportional to a person's recent activity. Fatigue impacts patients' treatment decisions and can limit their self-care activities. Although significant interindividual variability in fatigue severity has been noted, little is known about predictors of interindividual variability in initial levels and trajectories of evening fatigue severity in oncology patients receiving chemotherapy. Objectives To determine whether demographic, clinical, and symptom characteristics were associated with initial levels and the trajectories of evening fatigue. Methods A sample of outpatients with breast, gastrointestinal, gynecological, and lung cancer (N = 586) completed demographic and symptom questionnaires a total of six times over two cycles of chemotherapy. Fatigue severity was evaluated using the Lee Fatigue Scale. Hierarchical linear modeling was used to answer the study objectives. Results A large amount of interindividual variability was found in the evening fatigue trajectories. A piecewise model fit the data best. Patients who were white, diagnosed with breast, gynecological, or lung cancer, and who had more years of education, childcare responsibilities, lower functional status, and higher levels of sleep disturbance and depression reported higher levels of evening fatigue at enrollment. Conclusion This study identified both nonmodifiable (e.g., ethnicity) and modifiable (e.g., childcare responsibilities, depressive symptoms, sleep disturbance) risk factors for more severe evening fatigue. Using this information, clinicians can identify patients at higher risk for more severe evening fatigue, provide individualized patient education, and tailor interventions to address the modifiable risk factors.
AB - Context Fatigue is a distressing persistent sense of physical tiredness that is not proportional to a person's recent activity. Fatigue impacts patients' treatment decisions and can limit their self-care activities. Although significant interindividual variability in fatigue severity has been noted, little is known about predictors of interindividual variability in initial levels and trajectories of evening fatigue severity in oncology patients receiving chemotherapy. Objectives To determine whether demographic, clinical, and symptom characteristics were associated with initial levels and the trajectories of evening fatigue. Methods A sample of outpatients with breast, gastrointestinal, gynecological, and lung cancer (N = 586) completed demographic and symptom questionnaires a total of six times over two cycles of chemotherapy. Fatigue severity was evaluated using the Lee Fatigue Scale. Hierarchical linear modeling was used to answer the study objectives. Results A large amount of interindividual variability was found in the evening fatigue trajectories. A piecewise model fit the data best. Patients who were white, diagnosed with breast, gynecological, or lung cancer, and who had more years of education, childcare responsibilities, lower functional status, and higher levels of sleep disturbance and depression reported higher levels of evening fatigue at enrollment. Conclusion This study identified both nonmodifiable (e.g., ethnicity) and modifiable (e.g., childcare responsibilities, depressive symptoms, sleep disturbance) risk factors for more severe evening fatigue. Using this information, clinicians can identify patients at higher risk for more severe evening fatigue, provide individualized patient education, and tailor interventions to address the modifiable risk factors.
KW - Evening fatigue
KW - breast cancer
KW - chemotherapy
KW - diurnal variations
KW - gastrointestinal cancer
KW - gynecological cancer
KW - hierarchical linear modeling
KW - lung cancer
KW - symptom patterns
KW - symptom trajectories
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U2 - 10.1016/j.jpainsymman.2015.02.015
DO - 10.1016/j.jpainsymman.2015.02.015
M3 - Article
C2 - 25828560
AN - SCOPUS:84938415341
SN - 0885-3924
VL - 50
SP - 163
EP - 175
JO - Journal of Pain and Symptom Management
JF - Journal of Pain and Symptom Management
IS - 2
ER -