ArticleSleep2019
Identification of subgroups of chemotherapy patients with distinct sleep disturbance profiles and associated co-occurring symptoms.
Article in Sleep, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Evidence summary for the management of sleep disorders after malignant tumor surgery.Frontiers in neurology · 2025Pooled it
- Proposal for Managing Cancer-Related Insomnia: A Systematic Literature Review of Associated Factors and a Narrative Review of Treatment.Cancer medicine · 2024Pooled it
- Prevalence of Sleep Disturbance in Patients With Cancer: A Systematic Review and Meta-Analysis.Clinical nursing research · 2022Pooled it
- Risk factors associated with the co-occurrence of severe pain and sleep disturbance in oncology outpatients receiving chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- State of the "Art" in Precision Health Symptom Science Research.Seminars in oncology nursing · 2025Review
- Construction and validation of a nomogram to identify risk of sleep disorders in gastrointestinal tumor patients undergoing chemotherapy.American journal of translational research · 2025Article
- Symptom Network Analysis and Unsupervised Clustering of Oncology Patients Identifies Drivers of Symptom Burden and Patient Subgroups With Distinct Symptom Patterns.Cancer medicine · 2024Article
- Various types of stress and greater use of disengagement coping are associated with worse sleep disturbance in oncology patients undergoing chemotherapy.Stress and health : journal of the International Society for the Investigation of Stress · 2024Article
- Common and distinct risk factors that influence more severe and distressing shortness of breath profiles in oncology outpatients.Cancer medicine · 2024Article
- Sleep disturbance is associated with perturbations in immune-inflammatory pathways in oncology outpatients undergoing chemotherapy.Sleep medicine · 2023Article
- A latent profile analysis of sleep disturbance in relation to mental health among college students in China.Frontiers in public health · 2023Article
- Exploring the prevalence and burden of sleep disturbance in primary brain tumor patients.Neuro-oncology practice · 2022Article
- Nursing science as a federally-recognized STEM degree: A call to action for the United States with global implications.International journal of nursing studies advances · 2022Article
- Factors associated with sleep disturbances in women undergoing treatment for early-stage breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
- Worst Pain Severity Profiles of Oncology Patients Are Associated With Significant Stress and Multiple Co-Occurring Symptoms.The journal of pain · 2022Article
- Neuropsychological Symptoms and Intrusive Thoughts Are Associated With Worse Trajectories of Chemotherapy-Induced Nausea.Journal of pain and symptom management · 2020Article
- Discovery of clinical and demographic determinants of symptom burden in primary brain tumor patients using network analysis and unsupervised clustering.Neuro-oncology advancesArticle
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Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
STUDY
objectivesPurposes 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.
methodsOutpatients 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.
resultsThree 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 subscale and total scores, significant differences among the latent classes followed the expected pattern (Low < High < Very High). For trait and state anxiety, depressive symptoms, morning and evening fatigue, decrements in attentional function, and decrements in morning and evening energy, significant differences among the latent classes followed the expected pattern (Low < High < Very High).
conclusionsClinicians need to perform in-depth assessments of sleep disturbance and co-occurring symptoms to identify high-risk patients and recommend appropriate interventions.
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