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Sleep quality subtypes predict health-related quality of life in children

Christopher A Magee1, Laura Robinson1, Carol Keane1

  • 1School of Psychology, University of Wollongong, Wollongong, NSW, 2522 Australia.

Sleep Medicine
|June 17, 2017
PubMed

Insights

Distinct sleep quality subtypes in children significantly impact their health-related quality of life (HRQOL). Poor sleep quality, particularly disordered sleep, is linked to worse HRQOL outcomes over time.

Area of Science:

  • Pediatric Sleep Science
  • Child Health Outcomes
  • Quality of Life Research

Background:

  • Understanding the relationship between sleep quality and health-related quality of life (HRQOL) in children is crucial for public health.
  • Previous research has identified general links between poor sleep and reduced well-being, but specific sleep subtypes require further investigation.

Purpose of the Study:

  • To identify distinct sleep quality subtypes in a large, nonclinical sample of children.
  • To determine if these identified sleep quality subtypes predict health-related quality of life (HRQOL) over time.

Main Methods:

  • Utilized data from the Longitudinal Study of Australian Children (LSAC) Waves 4 and 5.
  • Included 3974 children aged 10-11 years, assessing multiple sleep dimensions via child and parent reports.
  • Health-related quality of life (HRQOL) was measured using the Pediatric Quality of Life Inventory.

Main Results:

  • Latent class analysis identified six distinct sleep quality classes: good sleep, moderate sleep quality, mild sleep disturbances, short sleep, long sleep, and disordered sleep.
  • Children in the disordered sleep and mild sleep disturbance classes reported poorer HRQOL, with a decline over time.
  • The long sleep and moderate sleep quality classes also exhibited decreases in HRQOL over the study period.

Conclusions:

  • Distinct sleep quality subtypes exist in children, significantly impacting their health-related quality of life (HRQOL).
  • Findings highlight the importance of addressing specific sleep issues to improve children's overall well-being.
  • These results can inform targeted interventions to promote better sleep and enhance HRQOL in pediatric populations.
Abstract

Keywords:
Latent change scorePhysical healthPsychosocial healthSleep quality subtypes

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