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. 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.
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. 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.
Entities:
Keywords:
breast cancer; fatigue; latent class analysis; latent growth mixture modeling; sleep; symptoms
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