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Record W2507880966 · doi:10.1136/oemed-2016-103951.34

O06-6 Quantifying shiftworkers’ exposure to light-at-night in healthcare and emergency service settings

2016· article· en· W2507880966 on OpenAlexaffabout
Amy Hall, Hugh Davies, Mieke Koehoorn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHealthcare serviceHealth careService (business)Medical emergencyComputer scienceMedicineBusiness

Abstract

fetched live from OpenAlex

<h3>Background</h3> Shiftworkers’ increased risk of adverse health outcomes has been linked to their exposure to light-at-night (LAN). However, few data characterising light exposures in nighttime working environments have been reported. The purpose of this study was to measure and compare shiftworkers’ exposures to LAN in the province of British Columbia, Canada. <h3>Methods</h3> Between October 2015 and March 2016, over 150 personal full-shift data were collected from more than 100 shiftworkers in emergency health services (paramedics, dispatchers) and healthcare (nurses, support aides, security, pharmacy, laboratory staff). Participants wore a small continuous monitoring device to measure LAN exposure once per minute. Preliminary analyses during the 23:00–05:00 period were conducted to characterise exposure levels with potential impacts on melatonin secretion and alertness. <h3>Results</h3> Personal light exposure levels ranged from &lt;5 lux (minimum) to &gt;650 lux (maximum). Cumulative time ≥1 hour above 30 lux (minimum level influencing melatonin secretion) occurred in over 60% of samples, and in over 40% of samples using a 100 lux cut point (midpoint of light’s maximum alerting effect). Significant exposure differences were seen across occupations and workplaces. Nurses, aides, and laboratory workers had the longest cumulative time exceeding 100 lux; dispatchers had the longest cumulative time below 30 lux. By workplace, laboratory, intensive care, and labour and delivery workers had the longest cumulative time exceeding 100 lux; call centre workers had the longest cumulative time below 30 lux. Within-worker variation across shifts was most pronounced among laboratory assistants and least pronounced among dispatch officers. <h3>Conclusions</h3> This study constitutes an initial step in documenting and comparing levels of LAN exposure across shiftwork occupations, workplaces, and time. Results will be useful for planning future LAN sampling strategies, assigning exposure estimates in epidemiological analyses, and identifying groups of shiftworkers at greatest risk of circadian disruption and/or fatigue at work.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.320
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

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
Published2016
Admission routes2
Has abstractyes

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