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Insomnia symptoms in children and adolescents: screening for sleep problems with the two-item Sleep Condition

Gaby Illingworth1, Karen L Mansfield2, Simona Skripkauskaite2,3

  • 1Department of Psychiatry, University of Oxford, Oxford, UK. gaby.illingworth@psych.ox.ac.uk.

BMC Public Health
|October 25, 2024
PubMed

Insights

The two-item Sleep Condition Indicator (SCI-02) effectively screens for insomnia symptoms in youth. This brief tool can identify children and adolescents needing sleep support, with one in ten experiencing poor sleep.

Area of Science:

  • Pediatric Sleep Medicine
  • Adolescent Health
  • Mental Health Screening

Background:

  • Sleep problems are prevalent among young individuals.
  • Effective, brief screening tools for identifying at-risk youth are needed.
  • This study focuses on the Sleep Condition Indicator (SCI-02) for insomnia screening.

Purpose of the Study:

  • To evaluate the Sleep Condition Indicator (SCI-02) for screening insomnia symptoms in children and adolescents.
  • To identify distinct sleep profiles within this population.
  • To examine how these profiles vary by gender and school year.

Main Methods:

  • Utilized data from the OxWell Student Survey (2021) in England.
  • Included 29,304 students (ages 9-18) who completed sleep measures.
  • Employed latent profile analysis and logistic regression to analyze sleep profiles and predictors.

Main Results:

  • Identified five distinct sleep profiles: 'good', 'moderate', 'moderate sleepy', 'poor', and 'poor sleepy' sleepers.
  • High probable insomnia rates (70-80%) were found in 'poor sleeper' profiles.
  • Females and secondary school students showed higher vulnerability to poor sleep and daytime sleepiness.

Conclusions:

  • The SCI-02 is an efficient two-question measure for screening youth sleep problems.
  • One in ten young people experience significant sleep disruption.
  • The SCI-02 can be utilized in schools and communities to identify youth needing sleep management support.
Abstract

Keywords:
AdolescentsChildrenDaytime sleepinessInsomniaLatent profile analysisSCI-02Sleep

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