ArticleCancer nursing
Distinct Sleep Disturbance Profiles in Patients With Gastrointestinal Cancers Receiving Chemotherapy.
Article in Cancer nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Proposal for Managing Cancer-Related Insomnia: A Systematic Literature Review of Associated Factors and a Narrative Review of Treatment.Cancer medicine · 2024Pooled it
- Perioperative multimodal behavioral optimization improves recovery and long-term outcomes after curative gastrectomy: a randomized controlled trial.Surgical endoscopy · 2026Trial
- Distinct Symptom Occurrence Subgroups Among Patients With Colorectal Cancer: Differences in Social Determinants of Health and Diet Quality.Research in nursing & health · 2026Article
- Associations between Nightmare Frequency, Nightmare Distress, and Psychopathological Problems among Chinese College Students: a Population-based Survey.The Psychiatric quarterly · 2025Article
- Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.JMIR cancer · 2025Article
- Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis.JMIR cancer · 2025Article
- Construction and validation of a nomogram to identify risk of sleep disorders in gastrointestinal tumor patients undergoing chemotherapy.American journal of translational research · 2025Article
- Self-Completion Questionnaire on Sleep Evaluation in Patients Undergoing Oxaliplatin Therapy: An Observational Study.Cancers · 2024Article
- Associations of differentially expressed genes with psychoneurological symptoms in patients with head and neck cancer: A longitudinal study.Journal of psychosomatic research · 2023Article
- A Web-Based Dyadic Intervention to Manage Psychoneurological Symptoms for Patients With Colorectal Cancer and Their Caregivers: Protocol for a Mixed Methods Study.JMIR research protocols · 2023Article
- A latent profile analysis of sleep disturbance in relation to mental health among college students in China.Frontiers in public health · 2023Article
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10 authors.
Funding
Abstract
backgroundPatients with gastrointestinal cancers experience moderate to high levels of sleep disturbance during chemotherapy that decreases their functional status and quality of life (QOL).
objectiveThe objectives of this study were to identify subgroups of patients with gastrointestinal cancers with distinct sleep disturbance profiles and evaluate for differences among these subgroups in demographic, clinical, and sleep characteristics, as well as co-occurring symptoms and QOL outcomes.
methodsPatients (n = 405) completed questionnaires 6 times over 2 cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct sleep disturbance profiles.
resultsThree distinct sleep disturbance profiles (ie, low, high, very high) were identified. Compared with the low class, patients in the other 2 classes were significantly younger and less likely to be married and to exercise on a regular basis and received a higher number of previous treatments. Compared with the low class, patients in the other 2 classes reported higher levels of anxiety, depressive symptoms, morning and evening fatigue, and pain and lower levels of attentional function and QOL scores at enrollment.
conclusionsThis study is the first to use latent profile analysis to identify subgroups of patients with gastrointestinal cancers with distinct sleep disturbance profiles. Findings provide new insights on the associations between sleep disturbance and multiple co-occurring symptoms in these patients. IMPLICATIONS FOR PRACTICE: Clinicians can identify patients who are at the highest risk for sleep disturbance and recommend a variety of sleep hygiene interventions (eg, establishment of a bedtime routine), as well as initiate interventions for other co-occurring symptoms.
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