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Sleep disturbances are prevalent among children with chronic illnesses, yet the specific impact of cancer on sleep remains underexplored. This prospective and cross-sectional study aims to evaluate the prevalence, severity, and characteristics of sleep disturbances in Chinese children with cancer compared to healthy peers and children with other chronic diseases. By leveraging validated sleep assessment tools and parental reports, the goal is to identify unique challenges faced by children with cancer. Results might influence the design of personalized interventions aimed at enhancing the overall well-being of children with cancer.
This study will enroll Chinese children aged 6 to 18 years, divided into three distinct groups based on their health status: children with cancer, children with other chronic illnesses, and healthy children. A total sample size of 150 participants (50 per group) will be targeted to ensure adequate statistical power for comparative analyses. Recruitment will occur at Hong Kong Children's Hospital or the cancer and chronic illness groups, and healthy children will be recruited from healthy siblings of participants or the healthy children of hospital staff with specific inclusion and exclusion criteria applied to each group to maintain homogeneity and minimize confounding variables.
Full description
The objectives of this study are threefold:
Sleep quality, measured by the global PSQI score, will be the primary endpoint. This encompasses the seven component scores (e.g., sleep duration, latency, efficiency), providing a holistic assessment of sleep health. A global score >5 will classify participants as having poor sleep quality, enabling prevalence comparisons across groups.
Health-related quality of life, assessed via the PedsQL total score and its domain-specific subscales (physical, emotional, social, school), as well as physical health summary score and psychosocial health summary score will examine the broader impact of sleep disturbances. This will help determine, for example, whether poor sleep in children with cancer correlates with reduced emotional or physical functioning compared to other groups.
To control for potential confounding effects on sleep patterns and access to healthcare resources, the following demographic and clinical variables will be collected: age (in years), gender, socioeconomic status (SES), disease type, disease status, and use of hypnotics (yes/no). SES will be assessed through parental education (categorized as primary or below, junior secondary, senior secondary, or university/college and above). For children with cancer, disease type (e.g., leukemia, lymphoma, brain tumor, bone tumor, or others) and disease status (e.g., stage 1-4, recurrence, years since diagnosis, treatment type such as chemotherapy, radiotherapy, surgery, immunotherapy, transplant, or combination) will be recorded. For children with other chronic illnesses, disease type (e.g., asthma, type 1 diabetes, chronic kidney disease) will be noted. These factors may influence sleep outcomes, e.g., older children may report greater daytime dysfunction, or lower parental education level may limit access to supportive care, necessitating adjustment in statistical analyses to isolate the effects of chronic illness on sleep quality.
This study anticipates uncovering significant differences in sleep quality between children hospitalized with cancer, those with other chronic illnesses, and healthy children. The following outcomes are expected:
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Across all three groups, children will be excluded if they are not Chinese and are in intensive care units. Children who exhibit severe cognitive impairments that preclude accurate reporting of sleep experiences, either by themselves or their parents or legal guardians, will be excluded. Additionally, participants with neurological conditions known to independently affect sleep, such as epilepsy or cerebral palsy, will be excluded to avoid confounding the primary relationship between chronic illness and sleep disturbances. The use of sedative medications unrelated to the participant's primary condition (e.g., for behavioral management rather than cancer treatment) will also disqualify participants, as these could artificially alter sleep patterns and obscure study outcomes. These exclusion criteria ensure that sleep disturbances observed are primarily linked to the participants' health status rather than extraneous factors.
150 participants in 3 patient groups
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Central trial contact
Shuk Yan Mak
Data sourced from clinicaltrials.gov
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