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Record W2938378639 · doi:10.1093/sleep/zsz067.799

0801 Changes in Sleep Habits as a Function of Age in Late Adolescence

2019· article· en· W2938378639 on OpenAlexaff
Pascale Gaudreault, Jean‐François Brunet, Roxanne Godin, Frédérick Michaud, Isabelle Green‐Demers, Geneviève Forest

Bibliographic record

VenueSLEEP · 2019
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsSleep (system call)Analysis of varianceRepeated measures designDemographyMedicinePsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

As they grow older, adolescents tend to go to bed later, but still wake-up early to go to school during weekdays. It has also been found that boys and girls have different sleep habits. However, few studies have looked at the changes in these sleep habits in both genders across adolescence. This was the aim of the present study. 654 adolescents (269boys; 385girls; 14-17y) completed questionnaires on sleep habits. First, repeated measures ANOVAs were performed on the sleep midpoint during school nights and during weekends in order to compare the sleep patterns of boys and girls across age (14 to 17 years old). Secondary analysis were then performed on bedtimes and wake-up times during weekends using repeated measures ANOVAs to compare only the 16 and 17 years old boys and girls. A significant Gender X Age interaction was found [F(3,4.567)=2.714,p<.05] for the sleep midpoint during weekends. Single comparison follow-up analysis using independent t-tests showed thatat 16y, the boys’ sleep midpoint on weekends was significantly later than the girls’ (5h23±1h24 vs 4h55±1h10,respectively; t(206)=2.622,p=.01). This finding led us to investigate the sleep schedules of older teenagers. There was no difference in bedtimes during weekends between 16 and 17 year old boys and girls. However, there was a significant Gender X Age [F(1,12.087)=4,466,p<.05] interaction for the wake-up times on weekends. Results show that 16 and 17 years old girls continued to gradually delay their wake-up times as they grow older. On the other hand, at 17, boys show a significant advance in their wake-up times. Our results suggest that sleep habits are changing differently in boys and girls across adolescence. Further studies should look at possible explanations for these gender differences. For example, it could be hypothesized that older boys are more likely to have a job than older girls, which could explain why they wake-up earlier on weekends. Our results underline the importance of studying weekend sleep habits in late teens, as it may have a significant impact on their overall sleep. N/A

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.300
Teacher spread0.283 · 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 teacher head, not a consensus.

Study designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

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