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Record W4416987334 · doi:10.1093/sleepadvances/zpaf074

Sleep and nocturnal breathing of individuals working over 1-week periods at high altitude: a cross-sectional polysomnographic study

2025· article· en· W4416987334 on OpenAlexafffund
Matiram Pun, Francisco Sanzana, Manuel Faundez, Mauricio Mancilla, Gerardo Gómez, Fernando A. Moraga, Claudio Barrientos, Jean M. Rawling, Iván López, Marc J. Poulin

Bibliographic record

VenueSLEEP Advances · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta Innovates
KeywordsSleep (system call)Sleep apneaBreathingPolysomnographyNocturnalSleep and breathingApneaSleep Stages

Abstract

fetched live from OpenAlex

Abstract Study Objectives To investigate objective sleep architectures, sleep fragmentation, and sleep-disordered breathing (SDB) indices in high-altitude workers rotating a week of altitude followed by a week of rest schedules from the Atacama Large Millimeter Array (ALMA) Observatory, Atacama, Chile. Methods A total of 122 high-altitude workers (males/females: 70/52) completed a polysomnographic sleep study at the Operation Support Facility (OSF, 2950 m). The majority of the participants (78 [63.9%]) were low-altitude residents. Most of the workers (74 [60.7%]) worked at the Array Operation Site (AOS) at 5050 m (work high) during the day and returned to the OSF to sleep (sleep lower). Results The ALMA workers had a sleep efficiency of 83.2 ± 10.3%, with a total sleep time of 352.2 ± 84.8 minutes. Sleep latency was 16.5 ± 19.3 minutes, and wake after sleep onset was 62.6 ± 56.5 minutes. The odds ratio product (ORP) showed that a quarter of altitude workers (n = 31) were in the severe sleep fragmentation category (ORP type 1,1 and 1,2), with deep sleep of 15.6 ± 11.4% of the total recorded time. The total Sleep Fragmentation Index (SFI) was 34.6 ± 13.5 numbers per hour, with the number of awakenings overnight being 31.3 ± 15.9. The Apnea–Hypopnea Index (AHI) was 27.4 ± 25.5 events per hour (central apneas: 2.4 ± 6.7 events per hour; obstructive apneas: 7.7 ± 14.6 events per hour). The average blood oxygen saturation (SpO2) was 88.6 ± 2.2%, with the nadir of 77.3 ± 11.8%, and the Oxygen Desaturation Index (ODI) was 17.2 ± 20.8 events per hour. Males had a higher number of arousals (26.5 ± 13.3 vs 20.4 ± 9.1 events per hour, p = .005), lighter sleep (15.4 ± 9.9 vs 9.7 ± 4.6% total sleep time, p < .001), and higher AHI (36.6 ± 28.7 vs 15.1 ± 12.9 events per hour, p < .001) and ODI (23.8 ± 24.2 vs 8.5 ± 10.0 events per hour, p < .001) compared to females. The number of sleep nights spent within the work week at altitude was negatively associated with sleep fragmentation (p = .0119) and arousal (p = .0092) indices and positively associated with ORP deep sleep (p = .0422), controlling for age. However, the number of years working at altitude was positively associated with the Respiratory Disturbance Index (p = .0014), AHI (p = .0026), and ODI (p = .0328), controlling for age. Older age, male sex, and higher body mass index played contributory roles in increasing AHI and ODI (p < .05). Conclusions High-altitude workers had less deep sleep and high fragmented sleep. Further, they had high sleep apnea and oxygen desaturation indices. The workers who had sleep studies in the latter part of the work week had better sleep indices compared to the workers who had sleep studies on the first and second nights at altitude. The SDB indices were positively associated with the years of working at altitude. Statement of Significance To our knowledge, this is the first study investigating sleep quality in high-altitude workers who have been following “work at very high altitude (5050 m), sleep at lower altitude (2950 m)” over the years. High-altitude workers who completed overnight sleep studies in the later part of their ~7-day work week at altitude had better sleep indices (traditional sleep architecture, odds ratio product, and sleep fragmentation index), suggesting that sleep acclimatization unfolds over nights spent within the work week after arrival to high altitude. Furthermore, a greater number of years working at high altitudes was associated with increased sleep apnea indices.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.289
Teacher spread0.279 · 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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