Investigating the Sleep-Pain Relationship in Youth with Sickle Cell Utilizing mHealth Technology

J Pediatr Psychol. 2019 Apr 1;44(3):323-332. doi: 10.1093/jpepsy/jsy105.

Abstract

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.

Keywords: pain; sickle cell; sleep.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Anemia, Sickle Cell / complications
  • Anemia, Sickle Cell / physiopathology*
  • Child
  • Female
  • Humans
  • Male
  • Pain / etiology
  • Pain / physiopathology*
  • Sleep / physiology*
  • Sleep Wake Disorders / etiology
  • Sleep Wake Disorders / physiopathology*
  • Telemedicine*
  • Time Factors