Evidence map›Paper›PMID 41162473›Full record

ArticleScientific reports2025

Aircrew rostering workload patterns and associated fatigue and sleepiness scores in short and medium haul flights in Brazil.

Tulio E Rodrigues, Eduardo Furlan, André F Helene, Otaviano Helene, Eduardo Pessini, Alexandre Simões, Maurício Pontes, Frida M Fischer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tulio E RodriguesExperimental Physics Department, Physics Institute, University of São Paulo, P. O. Box 66318, CEP 05315-970, São Paulo, Brazil. tulio@if.usp.br.
Eduardo FurlanTechnical Board, Gol Aircrew Association (ASAGOL), São Paulo, Brazil.
André F HeleneDepartment of Physiology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil.
Otaviano HeleneExperimental Physics Department, Physics Institute, University of São Paulo, P. O. Box 66318, CEP 05315-970, São Paulo, Brazil.
Eduardo PessiniAeronautics Institute of Technology (ITA), São Paulo, Brazil.
Alexandre SimõesSafety Board, LATAM Aircrew Association (ATL), São Paulo, Brazil.
Maurício PontesTechnical Board, Brazilian Association of Civil Aviation Pilots (ABRAPAC), São Paulo, Brazil.
Frida M FischerDepartment of Environmental Health, School of Public Health, University of São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relationships between workload and fatigue or sleepiness are investigated through the analysis of rosters and responses to questionnaires from Brazilian aircrews, taken from Fadigômetro database. The approach includes temporal markers-coinciding with Samn-Perelli (SP) and Karolinska Sleepiness Scale (KSS) responses-where SAFTE-FAST software outcomes are calculated. The latter results follow the increase of fatigue and sleepiness perceptions during the dawn (0h00 to 05h59), but underestimate self-rated scores during the evening (18h00 to 23h59). Importantly, the KSS scores and the inverse of SAFTE-FAST effectiveness fit the relative risk of pilot errors, representing interesting proxies for risk assessment. Linear relationships obtained between workload metrics, computed within 168-h prior to the responses, and self-rated SP and KSS scores provide a consistent method to estimate accumulated fatigue and sleepiness. Considering 7149 rosters of 2023, the duty time (DT), the number of flight sectors ([Formula: see text]) and the sum of flight sectors with sit periods longer than one hour ([Formula: see text]) are associated with 70.1%/60.6% of the highest predicted scores of SP/KSS. Applying the mitigations [Formula: see text], [Formula: see text] and [Formula: see text] for every 168-h interval yields a significant decrease in higher values of SP/KSS with minimal impact on roster coverage.

Indexed as

Aircrew rostersFatigueFatigue risk managementRegulatory aspectsSleepinessWorkload

Identifiers

PMID41162473
PMCPMC12572272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.