Erschienen in:
22.09.2020 | Original Article
Patient characteristics associated with sleep disturbance in breast cancer survivors
verfasst von:
Chelsea G. Ratcliff, Stephanie G. Zepeda, Martica H. Hall, Emily A. Tullos, Shaelyn Fowler, Alejandro Chaoul, Amy Spelman, Banu Arun, Lorenzo Cohen
Erschienen in:
Supportive Care in Cancer
|
Ausgabe 5/2021
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Abstract
Background
Disturbed sleep is common among breast cancer survivors. Identifying patients at risk for disturbed sleep and its sequelae will aid in improving screening and intervention strategies to improve sleep and cancer-related quality of life (QOL).
Methods
Women with stages I–III breast cancer undergoing neoadjuvant or adjuvant chemotherapy (N = 415) reported subjectively assessed sleep quality (PSQI) and actigraphy-assessed wake after sleep onset (AAS-WASO), total sleep time (AAS-TST), and sleep efficiency (AAS-SE), sociodemographic, and clinical characteristics and completed questionnaires assessing physical and mental health QOL at study entry and 3, 6, 12, and 15 months later.
Results
Being from a racially/ethnically underserved population was associated with poorer sleep in all indices (p’s < .04). Lower income was associated with poorer subjective sleep and greater AAS-WASO (p’s < .02). BMI was associated with lower AAS-SE (p < .001). Baseline subjective sleep complaints were positively associated with depression, fatigue, and health-related QOL and cancer-related symptoms across follow-up (p’s < 0.05). Baseline AAS-WASO was positively associated with anxiety and negatively associated with physical health-related QOL at the 3-month follow-up (p’s < .001). Baseline AAS-WASO and AAS-SE were associated with mental health-related QOL at the 6-month follow-up (p’s < .05).
Conclusions
In keeping with previous health disparity research, racially/ethnically underserved populations, lower household income, and higher BMI were associated with increased risk for disturbed sleep. Sleep disturbance may have long-term effects on multiple aspects of QOL for women undergoing treatment for breast cancer. Results may inform strategies to identify patients at greatest risk for disturbed sleep and its sequelae.