Evidence map›Paper›PMID 39566996›Full record

ArticleIndustrial health2025

Predicting the use of sugar and caffeine as countermeasures to sleepiness in London bus drivers.

Fran Pilkington-Cheney, Ashleigh Filtness, Cheryl Haslam, Karl A Miller

Abstract read
In one paragraph

Article in Industrial health, 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

4 authors.

Fran Pilkington-CheneyTransport Safety Research Centre, School of Design and Creative Arts, Loughborough University, UK.
Ashleigh FiltnessTransport Safety Research Centre, School of Design and Creative Arts, Loughborough University, UK.
Cheryl HaslamSchool of Sport Exercise and Health Sciences, Loughborough University, UK.
Karl A MillerTransport Safety Research Centre, School of Design and Creative Arts, Loughborough University, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleepiness is a significant workplace safety hazard and prevalent in shift workers including bus drivers. Several aspects of professional driving can result in shortened sleep and increased sleepiness, which has the potential to result in workplace injuries, incidents and crashes. Caffeine is an effective sleepiness countermeasure; however, private and professional drivers also report using potentially ineffective countermeasures such as sugar. By identifying factors which predict use of specific countermeasures (e.g., sugar, caffeine), educational initiatives could be targeted towards encouraging effective use. A subset of data was analysed from a driver sleepiness survey with London bus drivers (n=1,335). Univariate and multivariate logistic regressions were conducted to determine which factors separately predicted use of sugar (n=238) or caffeine (n=238) as a sleepiness countermeasure. Being female, having higher self-reported sleep quality and waking indexes and actively doing something to stay awake were predictive of sugar use. Age, sleeping pill use and actively doing something to stay awake were the strongest predictors of caffeine. However, many predictors from the univariate analyses were the same for both sugar and caffeine. Although tailored initiatives could be developed, broader education relating to managing sleepiness should be implemented for all bus drivers to encourage effective countermeasure use.

Indexed as

Automobile DrivingCaffeineSleepinessSugarsAdultFemaleHumansLondonMaleMiddle AgedMotor VehiclesSurveys and QuestionnairesCaffeineSugarsProfessional driversRoad safetyShiftworkSleepinessSleep-related fatigueWorkplace safety

Identifiers

PMID39566996
PMCPMC12107346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.