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Record W4394977346 · doi:10.1093/sleep/zsae067.0732

0732 Poor Perinatal Sleep Quality Is Associated with an Elevated Cortisol Awakening Response

2024· article· en· W4394977346 on OpenAlexaff
Michele L. Okun, Suzanne C. Segerstrom, Kharah M. Ross, Chris Dunkel Schetter, Mary Coussons‐Read

Bibliographic record

VenueSLEEP · 2024
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsAthabasca University
Fundersnot available
KeywordsCortisol awakening responseSleep (system call)Sleep qualityMedicinePsychologyHydrocortisoneInternal medicinePsychiatryInsomnia

Abstract

fetched live from OpenAlex

Abstract Introduction The perinatal period is a time of disrupted sleep. Sleep quality progressively worsens across gestation and into the postpartum. A mechanism linking poor sleep with certain adverse pregnancy outcomes is dysregulation of the HPA axis resulting in atypically elevated cortisol production. Although total cortisol output normally increases across pregnancy, the cortisol awakening response (CAR) attenuates as pregnancy progresses, with normalization in the first couple of weeks after delivery. The objective of this study was to evaluate longitudinal associations between maternal sleep quality and indices of cortisol across the perinatal period. Methods Data were collected as part of the HB3 study. PSQI and saliva were collected at four time-points (8-16 weeks, 30-36 weeks, 6 months postpartum, and 1-year postpartum). Participants (N = 230) who had sleep and cortisol data from at least 1 of 4 time-points were included in analyses. Multi-level models were run to predict cortisol parameters based on deviations in average maternal sleep quality at each wave. Values below the detectable limit were imputed and samples taken < 20 minutes or > 60 minutes were excluded. Results Multilevel (time, wave, and person) modeling indicated an average positive CAR slope (g=0.29, p=.02) that was affected by whether sleep quality was better or worse at that wave (p=.04). When PSQI scores were higher than the woman's own average, the CAR slope was steeper (+1 point in PSQI, g=0.32), and when scores were lower than average, the CAR slope was flatter (-1 point, g=0.25). CAR slope was not affected by average sleep quality across waves (p=.21). Diurnal slope was not affected by sleep quality being better or worse at that wave (p = .82) or by average sleep quality across waves (p=.61). Conclusion Women with poorer sleep quality than their average had a larger CAR than women with better sleep quality than their average. There was no association between sleep quality and the diurnal slope. These data suggest that greater variability in sleep quality significantly increases the amount of cortisol secreted upon awakening. Further examination is needed to determine if sleep quality is associated with adverse pregnancy/delivery outcomes via HPA axis dysregulation. Support (if any) NICHD R01HD073491-01

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

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

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 head0.034
GPT teacher head0.335
Teacher spread0.301 · 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 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
Published2024
Admission routes1
Has abstractyes

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