TY - JOUR
T1 - Distinct evening fatigue profiles in oncology outpatients receiving chemotherapy
AU - Wright, Fay
AU - Cooper, Bruce A.
AU - Conley, Yvette P.
AU - Hammer, Marilyn J.
AU - Chen, Lee May
AU - Paul, Steven M.
AU - Levine, Jon D.
AU - Miaskowski, Christine
AU - Kober, Kord M.
N1 - Publisher Copyright:
© 2017 IACFS/ME.
PY - 2017/7/3
Y1 - 2017/7/3
N2 - Background: Fatigue is the most common and debilitating symptom experienced by oncology patients during chemotherapy (CTX). Fatigue severity demonstrates a large amount of inter-individual and diurnal variability. Purpose: Study purposes were to evaluate for subgroups of patients with distinct evening fatigue profiles and evaluate how these subgroups differed on demographic, clinical, and symptom characteristics. Methods: Outpatients with breast, gastrointestinal, gynecological, or lung cancer (n = 1332) completed questionnaires six times over two cycles of CTX. Lee Fatigue Scale evaluated evening fatigue severity. Latent profile analysis was used to identify distinct evening fatigue profiles. Results: Four distinct evening fatigue classes (i.e. Low (14.0%), Moderate (17.2%), High (36.0%), and Very High (32.8%)) were identified. Compared to the Low class, patients in the Very High evening fatigue class were: younger, female, had childcare responsibilities, had more years of education, had a lower functional status, had a higher comorbidity burden, and were diagnosed with breast cancer. Patients in the Very High class reported higher levels of depressive symptoms, sleep disturbance, and evening fatigue at enrollment. Conclusions: Findings provide new insights into modifiable risk factors for higher levels of evening fatigue. Clinicians can use this information to identify higher risk patients and plan appropriate interventions.
AB - Background: Fatigue is the most common and debilitating symptom experienced by oncology patients during chemotherapy (CTX). Fatigue severity demonstrates a large amount of inter-individual and diurnal variability. Purpose: Study purposes were to evaluate for subgroups of patients with distinct evening fatigue profiles and evaluate how these subgroups differed on demographic, clinical, and symptom characteristics. Methods: Outpatients with breast, gastrointestinal, gynecological, or lung cancer (n = 1332) completed questionnaires six times over two cycles of CTX. Lee Fatigue Scale evaluated evening fatigue severity. Latent profile analysis was used to identify distinct evening fatigue profiles. Results: Four distinct evening fatigue classes (i.e. Low (14.0%), Moderate (17.2%), High (36.0%), and Very High (32.8%)) were identified. Compared to the Low class, patients in the Very High evening fatigue class were: younger, female, had childcare responsibilities, had more years of education, had a lower functional status, had a higher comorbidity burden, and were diagnosed with breast cancer. Patients in the Very High class reported higher levels of depressive symptoms, sleep disturbance, and evening fatigue at enrollment. Conclusions: Findings provide new insights into modifiable risk factors for higher levels of evening fatigue. Clinicians can use this information to identify higher risk patients and plan appropriate interventions.
KW - Evening fatigue
KW - chemotherapy
KW - diurnal variations
KW - latent class analysis
KW - symptom profiles
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U2 - 10.1080/21641846.2017.1322233
DO - 10.1080/21641846.2017.1322233
M3 - Article
AN - SCOPUS:85078290167
SN - 2164-1846
VL - 5
SP - 131
EP - 144
JO - Fatigue: Biomedicine, Health and Behavior
JF - Fatigue: Biomedicine, Health and Behavior
IS - 3
ER -