Evidence map›Paper›PMID 39448937›Full record

ArticleBMC public health2024

Insomnia symptoms in children and adolescents: screening for sleep problems with the two-item Sleep Condition Indicator (SCI-02).

Gaby Illingworth, Karen L Mansfield, Simona Skripkauskaite, Mina Fazel, Felicity Waite

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gaby IllingworthDepartment of Psychiatry, University of Oxford, Oxford, UK. gaby.illingworth@psych.ox.ac.uk.
Karen L MansfieldDepartment of Psychiatry, University of Oxford, Oxford, UK.
Simona SkripkauskaiteDepartment of Psychiatry, University of Oxford, Oxford, UK.
Mina FazelDepartment of Psychiatry, University of Oxford, Oxford, UK.
Felicity WaiteDepartment of Psychiatry, University of Oxford, Oxford, UK.

Funding

Wellcome TrustWellcome Trust 102176/B/13/Z
6 · The paper itself

Abstract

backgroundSleep problems are common in young people. Yet brief screening measures to identify those most in need of an intervention are lacking. This study investigated the potential of the two-item Sleep Condition Indicator (SCI-02) for screening insomnia symptoms in children and adolescents. We sought to establish whether there are distinct subgroups with different sleep profiles and whether subgroup membership varied with gender and school year group.

methodsStudents (school years 5-13; typical age 9-18 years) in England completed the OxWell Student Survey in 2021. Sleep measures included: SCI-02, sleep onset latency (SOL), sleep duration, daytime sleepiness, and worry disrupting sleep. Latent profile analysis and multinomial logistic regression explored sleep profiles and predicted class membership.

resultsIn total, 29,304 participants answered sleep items. Of these, 95% provided binary gender (n = 27,802, 55% female) for analyses. Five sleep profiles emerged. The profiles, labelled "good", "moderate", or "poor" sleepers, vary by sleep quality - which includes time taken to fall asleep (SOL), amount of sleep (sleep duration), and the disruption of sleep due to worry. The profiles are then further differentiated by high levels of daytime sleepiness - labelled "sleepy". "Good Sleepers" (18,355, 66%), "Moderate Sleepers" (4825, 17.4%), "Moderate Sleepy Sleepers" (1250, 4.5%), "Poor Sleepers" (1037, 3.7%) and "Poor Sleepy Sleepers" (2335, 8.4%). Probable insomnia rates (SCI-02 ≤ 2) were high in both poor sleeper profiles (70-80%) compared with other profiles (0%) and the sample overall (9%). Compared with "Good Sleepers", all other profiles were mostly female. Daytime sleepiness - the defining characteristic of the sleepy sleeper profiles - was more common in secondary school participants than primary school.

conclusionsThe SCI-02 is an efficient, two-question measure to screen for potential sleep problems in young people. Sleep disruption was high: one in ten were experiencing poor sleep. Females and adolescents appeared more vulnerable to poor sleep and daytime sleepiness. The SCI-02 has the potential for use in school and community contexts to identify children and adolescents who may benefit from support managing their sleep.

Indexed as

Sleep Initiation and Maintenance DisordersAdolescentChildChild, PreschoolEnglandFemaleHumansMaleMass ScreeningStudentsSurveys and QuestionnairesAdolescentsChildrenDaytime sleepinessInsomniaLatent profile analysisSCI-02Sleep

Identifiers

PMID39448937
PMCPMC11515297

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.