ArticleJournal of multidisciplinary healthcare2025
Sleep Disorders in Young and Middle-Aged Adults with Acute Leukemia Undergoing Chemotherapy: A Qualitative Study from a Biopsychosocial Perspective.
Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Translating Patient Experiences Into Multimethod Assessment and Evidence-Based Care: Next Steps in Research on Sleep Disturbance in Acute Leukemia [Letter].Journal of multidisciplinary healthcare · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objectives: Sleep disorders frequently affect acute leukemia patients during chemotherapy, significantly impacting treatment outcomes and quality of life. Using the biopsychosocial model, this study explores young and middle-aged patients' perceptions and influencing factors of sleep disturbances to guide targeted interventions. Methods: Purposive sampling method was used to select 16 patients from the Department of Hematology of a tertiary hospital in Yantai City from December 2024 to January 2025 for semi-structured interviews, based on the biopsychosocial model, and Colaizzi's seven-step analysis method was used to refine the themes. Results: Seven themes were extracted: 1) Chemotherapy and the physiological burden of the disease itself (discomfort symptoms such as body pain and fatigue, particularly severe sleep problems during the induced remission period); 2) The physical and mental reactions caused by the uncertainty of disease progression and treatment (anxiety about the condition and treatment, fear of disease progression, and concern about recurrent pain); 3) Cognitive and emotional distress towards sleep (excessive sleep expectations, rumination further affecting sleep); 4) Polarization in coping (actively implementing self-regulation and generating negative avoidance thoughts); 5) Medical environment and institutional barriers (poor hospitalization environment, unmet sleep management needs of medical staff); 6) Economic and role pressures (heavy economic pressure, insufficient social support); 7) Family and peer relationships (yearning for family support and striving to establish peer support). Conclusion: Young and Middle-Aged Adults leukemia patients during chemotherapy have poor sleep quality, which is influenced by multiple biological, psychological, and social factors. These findings provide new insights into the challenges of patient-centered sleep management during chemotherapy and highlight the inadequacy of psychosocial support and institutional care. Clinicians should combine these influencing factors to develop targeted interventions to improve patients' sleep quality and enhance their quality of life.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.