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Adolescent Insomnia and the Big Five Personality

2024· article· en· W4397019891 on OpenAlexaff
Yangxuan Lin

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2024
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsYork University
Fundersnot available
KeywordsAgreeablenessInsomniaBig Five personality traitsNeuroticismExtraversion and introversionConscientiousnessPsychologyPittsburgh Sleep Quality IndexOpenness to experiencePersonalityClinical psychologyHierarchical structure of the Big FivePsychiatrySleep qualitySocial psychology

Abstract

fetched live from OpenAlex

Insomnia is very common in adolescence, and it can be triggered by many factors. The study investigated the relevant between the big five personality traits and insomnia. A sample of 95 participants completed the Insomnia Severity Index (ISI), the NEO Five-Factor Inventory (NEO-FFI), and the Pittsburgh Sleep Quality Index (PSQI). Associations between personality traits and insomnia were analyzed with T-test and Correlation Matrix. The results showed that adolescents in the insomnia group scored higher on neuroticism and agreeableness that those in the healthy control group. And higher neuroticism and agreeableness were also associated with poorer sleep quality. Extraversion, openness, and conscientiousness were not associated with insomnia. The association between the Big Five personality and sleep problems may have implications for the management of insomnia, facilitating a more personalized approach to treatment. However, it should be noted that personality traits alone do not comprehensively account for the primary factors contributing to insomnia, necessitating further longitudinal studies to validate these current findings.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.329
Teacher spread0.310 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2024
Admission routes1
Has abstractyes

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