Investigating the Sleep–Pain Relationship in Youth with Sickle Cell Utilizing mHealth Technology
| Autor: | Rebecca L. Kilpatrick, Beng Fuh, Kristen J. Alston, Cecelia R. Valrie, India Sisler, Krystal L. Trout, Rupa Redding-Lallinger |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Male
Sleep Wake Disorders medicine.medical_specialty Time Factors Adolescent Pain Anemia Sickle Cell Disease 03 medical and health sciences 0302 clinical medicine Nighttime sleep Developmental and Educational Psychology medicine Humans 030212 general & internal medicine Child mHealth medicine.diagnostic_test business.industry Multilevel model Sleep apnea Actigraphy medicine.disease Sleep in non-human animals Telemedicine Pulse oximetry Pediatrics Perinatology and Child Health Physical therapy Female Sleep business 030217 neurology & neurosurgery Regular Articles |
| Zdroj: | Journal of Pediatric Psychology. 44:323-332 |
| ISSN: | 1465-735X 0146-8693 |
| DOI: | 10.1093/jpepsy/jsy105 |
| Popis: | Objectives The current study utilized mHealth technologies that were objective (e.g., sleep actigraphy and pulse oximetry) and time-sensitive (e.g., ecological momentary assessments [EMAs]) to characterize sleep in youth with sickle cell disease (SCD) and investigate the relationships between sleep variables and pain. It also investigated the influence of age on sleep and the sleep–pain relationship. Methods Eighty-eight youth with SCD (aged 8–17 years) were recruited from three regional pediatric SCD clinics. Youth completed twice daily EMAs for up to 4 weeks to assess nighttime subjective sleep quality and daily pain. They also wore a sleep actigraph for 2 weeks to assess sleep duration, sleep efficiency, and sleep latency, and a wrist-worn pulse oximeter for two nights to assess whether they had sleep apnea. Multilevel models were calculated predicting daily SCD pain using the sleep variables, age, and the interaction between age and the sleep variables. Results None of the sleep variables were related to one another. Poor subjective sleep quality during the night was related to high pain severity the next day, and high pain was related to poor subjective sleep quality that night. Older age was associated with poorer subjective sleep quality, shorter duration of nighttime sleep, and high sleep latency. Also, findings indicated that as age increased, the strength of the relationship between poor continuous subjective sleep quality and high pain severity increased. Conclusions Future research is needed to examine possible mechanisms connecting subjective sleep quality to high pain. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|