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Record W2752203906

Investigating Cortisol Production, Pattern, and Variability as Mediators in the Relationship Between Shift Work and Cardiometabolic Risk

2017· dissertation· en· W2752203906 on OpenAlexaboutno aff
Jennifer A. Ritonja

Bibliographic record

VenueQSpace (Queen's University Library) · 2017
Typedissertation
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)Work (physics)EngineeringEconomicsMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Background: Shift work has emerged as a risk factor for many diseases, particularly cardiovascular disease (CVD). While the pathway by which shift work increases CVD risk is still not fully understood, it is hypothesized that disruption of cortisol during night work is an intermediate.
\nObjective: To determine whether quantity of cortisol production, diurnal pattern, and cortisol variability mediate the relationship between current shift work status and cardiometabolic risk among female hospital employees.
\nMethods: A cross-sectional study was conducted with 326 female employees (166 rotating shift workers and 160 day workers) at Kingston General Hospital in Ontario, Canada. Participants completed a baseline interview, questionnaire, and clinical exam, and provided urine samples over two 24-hour cycles (included one-night shift for the shift workers). Diurnal quantity of cortisol production (AUCG), cortisol pattern (AUCI), and the magnitude of variation for both AUCG and AUCI was determined across the two cycles using creatinine-adjusted urinary cortisol. Two measures of cardiometabolic risk (CMR) were used: metabolic syndrome (MetS) based on the 2009 Joint Interim Studies consensus statement, and a continuous CMR score created by Hillier and colleagues (2006).
\nResults: Current shift workers are more likely to have MetS than dayworkers (21% vs. 12%, respectively, OR: 2.41, 95% CI: 1.25-4.64) and have a higher CMR score (β: 0.45, 95% CI: 0.12-0.78). Shift work is also associated with a lower average AUCG and a higher magnitude of variation in AUCI, but not with average AUCI or magnitude of variation in AUCG. Average AUCG is a partial mediator in the relationship between shift work and CMR, as measured with the CMR score. There is no evidence that AUCI or either magnitude of variation are intermediates between shift work and CMR. 
\nConclusions: Current rotating shift workers have a lower quantity of cortisol production, a higher magnitude of variation in pattern, a higher CMR score, and a higher odds of MetS in comparison to day workers. Quantity of cortisol production is a partial mediator in the relationship between current shift work and CMR. Future studies warrant the consideration of other potential mediators in the causal pathway between shift work and CVD risk.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
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 head0.015
GPT teacher head0.246
Teacher spread0.231 · 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
Published2017
Admission routes1
Has abstractyes

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