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Record W4412434229 · doi:10.1177/07487304251349408

Evidence for Internal Misalignment of Circadian Rhythms in Youth With Emerging Mood Disorders

2025· article· en· W4412434229 on OpenAlexaff
Joanne S. Carpenter, Jacob J. Crouse, Mirim Shin, Emiliana Tonini, Gabrielle Hindmarsh, Zsofi de Haan, Frank Iorfino, Rébecca Robillard, Sharon L. Naismith, Elizabeth Scott, Ian B. Hickie

Bibliographic record

VenueJournal of Biological Rhythms · 2025
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsRoyal Ottawa Mental Health Centre
FundersNational Institute on Drug AbuseNational Health and Medical Research Council
KeywordsCircadian rhythmMelatoninActigraphyMoodMood disordersDepression (economics)PsychologyInternal medicineMedicineClinical psychologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Despite evidence for links between circadian dysfunction and mood disorders, previous research has largely reported on single biological markers of circadian alignment. The available evidence on relationships between 2 internal phase markers (e.g., dim light melatonin onset [DLMO] and peak cortisol concentration) suggests these signals may be temporally misaligned in major depressive disorder with greater misalignment associated with more severe depressive symptoms. This study aimed to examine multiple circadian phase markers to determine whether any youth with emerging mood disorders present with clear evidence of internal circadian misalignment, and whether the degree of circadian misalignment is correlated with more severe mood symptoms. Cross-sectional data from 69 youth presenting for mental health care (20.6 ± 3.8 years; 39% male) and 19 healthy controls (24.0 ± 3.6 years; 53% male) included actigraphy monitoring; overnight in-lab measurement of 3 phase markers: DLMO, salivary cortisol peak (CORT), and core body temperature nadir (TEMP); and depressive symptoms (Hamilton Depression Rating Scale). Abnormal phase angles between 2 phase markers were defined as ±2 standard deviations beyond the control mean. In those with emerging mood disorders, earlier TEMP relative to other phase markers (DLMO, CORT, sleep midpoint) was associated with higher depressive symptoms. Sixteen individuals (23%) with emerging mood disorders had abnormal phase angles between at least 1 pair of phase markers, consistent with internal misalignment of the circadian system. The internal misalignment subgroup had later DLMO on average, however presented with a diverse range of individual phase angle abnormalities. Diverse disruptions of circadian alignment occur in youth with mental ill-health. The relative timing of core body temperature and melatonin rhythms may be key circadian features linked to depressive symptoms. Longitudinal research is needed to establish whether correction of circadian misalignment is relevant to treatment of mood syndromes in youth with evidence of disrupted circadian systems.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.072
GPT teacher head0.319
Teacher spread0.247 · 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 designBench or experimental
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

Citations8
Published2025
Admission routes1
Has abstractyes

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