TY - JOUR
T1 - Distinct trajectories of fatigue and sleep disturbance in women receiving chemotherapy for breast cancer
AU - Whisenant, Meagan
AU - Wong, Bob
AU - Mitchell, Sandra A.
AU - Beck, Susan L.
AU - Mooney, Kathi
N1 - Publisher Copyright:
© 2017 by the Oncology Nursing Society.
PY - 2017/11
Y1 - 2017/11
N2 - Purpose/Objectives: To examine self-reported severity of fatigue and disturbed sleep experienced daily by women with breast cancer during multiple cycles of chemotherapy, exploring potential classes of women experiencing similar symptom trajectories. Design: In a secondary analysis, classes of women experiencing similar patterns of fatigue and disturbed sleep were identified. Setting: Oncology clinics in the United States. Sample: 166 women with breast cancer receiving chemotherapy. Methods: Severity scores were self-reported daily using an automated system. Classes of fatigue and disturbed sleep severity were identified using latent growth mixture modeling. Main Research Variables: Fatigue, disturbed sleep, age, stage of disease, education, employment, marital status, chemotherapy regimen, hours lying down, and missed work. Findings: Three fatigue classes were identified: mild decreasing (59% cycle 2, 64% cycle 3), low moderate decreasing (30% cycle 2, 25% cycle 3), and high moderate decreasing (11% both cycles). Two disturbed sleep classes were identified: mild decreasing (89% cycle 2, 81% cycle 3) and increasing (11% cycle 2, 19% cycle 3). Women in the high moderate decreasing fatigue class were more likely to have received doxorubicin (p = 0.02) and spent more hours lying down (p = 0.02). Conclusions: Patterns of symptom trajectories for fatigue and disturbed sleep were distinguished by baseline symptom severity. Implications for Nursing: Identification of women at risk for fatigue and disturbed sleep may allow clinicians to intensify symptom management. & .
AB - Purpose/Objectives: To examine self-reported severity of fatigue and disturbed sleep experienced daily by women with breast cancer during multiple cycles of chemotherapy, exploring potential classes of women experiencing similar symptom trajectories. Design: In a secondary analysis, classes of women experiencing similar patterns of fatigue and disturbed sleep were identified. Setting: Oncology clinics in the United States. Sample: 166 women with breast cancer receiving chemotherapy. Methods: Severity scores were self-reported daily using an automated system. Classes of fatigue and disturbed sleep severity were identified using latent growth mixture modeling. Main Research Variables: Fatigue, disturbed sleep, age, stage of disease, education, employment, marital status, chemotherapy regimen, hours lying down, and missed work. Findings: Three fatigue classes were identified: mild decreasing (59% cycle 2, 64% cycle 3), low moderate decreasing (30% cycle 2, 25% cycle 3), and high moderate decreasing (11% both cycles). Two disturbed sleep classes were identified: mild decreasing (89% cycle 2, 81% cycle 3) and increasing (11% cycle 2, 19% cycle 3). Women in the high moderate decreasing fatigue class were more likely to have received doxorubicin (p = 0.02) and spent more hours lying down (p = 0.02). Conclusions: Patterns of symptom trajectories for fatigue and disturbed sleep were distinguished by baseline symptom severity. Implications for Nursing: Identification of women at risk for fatigue and disturbed sleep may allow clinicians to intensify symptom management. & .
KW - Breast cancer
KW - Fatigue
KW - Latent class analysis
KW - Latent growth mixture modeling
KW - Sleep
KW - Symptoms
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U2 - 10.1188/17.ONF.739-750
DO - 10.1188/17.ONF.739-750
M3 - Article
C2 - 29052653
AN - SCOPUS:85032466105
SN - 0190-535X
VL - 44
SP - 739
EP - 750
JO - Oncology nursing forum
JF - Oncology nursing forum
IS - 6
ER -