Identification of subgroups of chemotherapy patients with distinct sleep disturbance profiles and associated co-occurring symptoms

Sleep
Maria TejadaChristine Miaskowski

Abstract

Purposes of this study were to identify subgroups of patients with distinct sleep disturbance profiles and to evaluate for differences in demographic, clinical, and various sleep characteristics, as well for differences in the severity of co-occurring symptoms among these subgroups. Outpatients with breast, gynecological, gastrointestinal, or lung cancer (n = 1331) completed questionnaires six times over two chemotherapy cycles. Self-reported sleep disturbance was evaluated using the General Sleep Disturbance Scale (GSDS). Latent profile analysis was used to identify distinct subgroups. Three latent classes with distinct sleep disturbance profiles were identified (Low [25.5%], High [50.8%], Very High [24.0%]) across the six assessments. Approximately 75% of the patients had a mean total GSDS score that was above the clinically meaningful cutoff score of at least 43 across all six assessments. Compared to the Low class, patients in High and Very High classes were significantly younger, had a lower functional status, had higher levels of comorbidity, and were more likely to be female, more likely to have childcare responsibilities, less likely to be employed, and less likely to have gastrointestinal cancer. For all of the GSDS su...Continue Reading

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Citations

Nov 28, 2020·Integrative Cancer Therapies·Mary C HiddeW Thomas Purcell
Mar 30, 2021·Complementary Therapies in Clinical Practice·María T Alvarez-BañuelosEstefanía Llanillo-Luján
Jul 24, 2021·The Journal of Pain : Official Journal of the American Pain Society·Joosun ShinChristine Miaskowski
Jul 11, 2021·Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer·Susan GraysonSusan Wesmiller

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