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Record W2760915278 · doi:10.1093/pch/20.5.e39

19: The Motivating Teens to Sleep More Program Improves Sleep Hygiene Behaviours in High School Students

2015· article· en· W2760915278 on OpenAlexaff
Jamie Cassoff, Reut Gruber, Lachlan S. Giles, Lana Karabachian, Michelle Mangal, Bärbel Knaüper

Bibliographic record

VenuePaediatrics & Child Health · 2015
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsSleep hygieneSleep (system call)BedtimeFeelingPsychologyHygieneMedicineClinical psychologyInsomniaPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Adolescent sleepiness due to insufficient sleep is prevalent and associated with significant negative consequences on heath and well-being. Negative sleep hygiene practices have been shown to impede adequate sleep duration. Sleep promotion programs are successful in improving sleep knowledge but not at promoting positive sleep hygiene practices as they only focus on providing sleep information. The novel Motivating Teens to Sleep More (MTSM) program incorporates a motivational interviewing style, stage-based techniques, and personalized activities. The objective was to identify potentially effective ways to improve sleep hygiene practices and reduce sleepiness in adolescents, thus increasing health and well-being. The current study evaluated the effectiveness of the motivation-focused MTSM program with embedded sleep education compared to a sleep education control condition. Expected outcomes included reduced negative sleep hygiene behaviours, increased bodily awareness of sleepiness after nights of too little sleep, and decreased external signals of sleepiness following the program. Twenty-one high school students were randomly assigned to the MTSM program or the control condition, which each consisted of four 1-hour, one-on-one, sessions. As part of the MTSM program, participants were guided through a body scan focusing on bodily signals of sleepiness and were invited to create an action-plan to improve a sleep hygiene behaviour. Negative sleep hygiene practices (e.g., use of technological devices at bedtime), internal signals of sleepiness after nights of too little sleep (e.g., eyes feeling heavy) and external signals of sleepiness (e.g., teacher telling you that you seem tired) were assessed via online questionnaires before and after the program and at three-months follow-up. Negative sleep hygiene practices significantly decreased in the experimental but not control group following the program (F[2, 18] = 3.66, P=0.046) and the improvements were sustained at three-months follow-up (F[2, 18] = 4.04, P=0.026). Self-reported external cues of sleepiness significantly decreased in both groups at three month follow-up compared to prior to the program (F[2, 18] = 4.12, P=0.034). Bodily awareness of sleepiness showed no differences. The data suggest that the MTSM program and sleep education sessions were effective in decreasing external signals of sleepiness but only the students receiving the MTSM program adopted healthier sleep hygiene behaviours. The motivational strategies of the MTSM program seem instrumental in driving sustained sleep hygiene improvements. The null internal cues of sleepiness finding may indicate that the body scan activity was insufficient in enhancing bodily awareness of sleepiness and that more intensive mindfulness strategies are needed in future sleep promotion programs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.338
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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