The impact of maintenance therapy on sleep-wake rhythms and cancer-related fatigue in pediatric acute lymphoblastic leukemia.

PURPOSE: To assess the impact of maintenance therapy and the additional impact of dexamethasone treatment on cancer-related fatigue and sleep-wake rhythms in pediatric acute lymphoblastic leukemia (ALL) patients and to determine the association between these outcomes. METHODS: A national cohort of pediatric ALL patients (≥ 2 years) was included (± 1 year post-diagnosis). Patients receiving dexamethasone were assessed twice (assessment with and without dexamethasone). Actigraphy assessments were used to calculate sleep-wake outcomes with nonparametric methods. Cancer-related fatigue was assessed with the PedsQL Multidimensional Fatigue Scale. Sleep-wake rhythms and cancer-related fatigue were compared between patients participating in the assessment without dexamethasone and healthy children (linear regression) and between assessments with and without dexamethasone (mixed models). Using linear regression, associations between sleep-wake outcomes and cancer-related fatigue were determined during assessments with and without dexamethasone. RESULTS: Responses were collected for 125 patients (113 assessments with and 81 without dexamethasone). The sleep-wake rhythm was less stable (p = 0.03) and less robust (p = 0.01), with lower physical activity levels (p < 0.001) and higher cancer-related fatigue levels (p < 0.001) in ALL patients compared to healthy children. Physical activity was lower (p = 0.001) and cancer-related fatigue more severe (p ≤ 0.001) during assessments with dexamethasone compared to without dexamethasone. Sleep-wake outcomes were significantly associated with cancer-related fatigue during periods without dexamethasone, but not during periods with dexamethasone. CONCLUSION: Sleep-wake rhythms are disturbed, physical activity levels lower, and cancer-related fatigue levels higher during maintenance therapy. Interventions aimed to enhance sleep-wake rhythms during maintenance therapy could improve cancer-related fatigue. Families should be supported in coping with the additional burden of dexamethasone treatment to improve well-being of ALL patients.

Psychometric properties and norm scores of the sleep self report in Dutch children.

BACKGROUND: Psychometrically robust questionnaires to assess self-reported sleep problems in children are important since sleep problems can have a major impact on child development. The Sleep Self Report (SSR) is a 26-item self-report tool measuring different sleep domains in children aged 7-12 years. This study aims to evaluate the psychometric properties of the SSR and to provide Dutch norm scores. METHODS: Children aged 7-12 years from the general population were recruited through a professional market research agency. In this population, structural validity was assessed with confirmatory and exploratory factor analyses, internal consistency was assessed with the Cronbach's alpha coefficient and norm scores were provided. Additionally, children attending outpatient sleep clinics (clinical population) were invited to participate. SSR scores of the general population and the clinical population were compared to establish discriminative validity. RESULTS: In total, 619 children (mean age: 9.94 ± 1.72 years) from the general population and 34 children (mean age: 9.21 ± 1.63 years) from sleep clinics participated. The 1-factor structure of the SSR was not confirmed with factor analysis. Exploratory analyses did also not yield an appropriate multidimensional structure. Internal consistency of the total score was adequate (Cronbach's alpha: 0.76). The total score distinguished the clinical population from the general population (39.07 ± 5.31 versus 31.61 ± 5.31; P < 0.01). CONCLUSIONS: An appropriate structure of the SSR was not found with factor analyses in this Dutch population. The adequate internal consistency indicates that the total score can be interpreted as a measure of overall sleep problems. The SSR also shows good discriminative validity. We recommend the total score to assess overall sleep problems and item scores to evaluate specific sleep issues and to follow up children's sleep longitudinally, as opposite changes in different item scores may not reflect in the total score. Further research on the development of multidimensional psychometrically sound pediatric sleep self-reports is of major importance.