Evidence map›Paper›PMID 23029278›Full record

ArticlePloS one2012

Sleepiness, long distance commuting and night work as predictors of driving performance.

Lee Di Milia, Naomi L Rogers, Torbjörn Åkerstedt

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Applying a Health Equity Lens to Work-Related Motor Vehicle Safety in the United States.International journal of environmental research and public health · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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

3 authors at 2 institutions in 2 countries.

Lee Di MiliaThe Institute of Health and Social Science Research, School of Management, Central Queensland University, Rockhampton, Queensland, Australia. v.dimilia@cqu.edu.au
Naomi L Rogers
Torbjörn Åkerstedt
Central Queensland University · AUStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have examined the effect of working night shift and long distance commuting. We examined the association between several sleep related and demographic variables, commuting distance, night work and use of mobile phones on driving performance. We used a prospective design to recruit participants and conducted a telephone survey (n = 649). The survey collected demographic and journey details, work and sleep history and driving performance concerning the day the participant was recruited. Participants also completed the Karolinska Sleepiness Scale and the Epworth Sleepiness Scale. Night workers reported significantly more sleepiness, shorter sleep duration and commuting longer distances. Seven variables were significant predictors of lane crossing. The strongest predictor was acute sleepiness (OR = 5.25, CI, 1.42-19.49, p<0.01) followed by driving ≥150 kms (OR = 3.61, CI, 1.66-7.81, p<0.001), obtaining less than 10 hours sleep in the previous 48 hours (OR = 2.58, CI, 1.03-6.46, p<0.05), driving after night shift (OR = 2.19, CI, 1.24-3.88, p<0.001), being <43 years old (OR = 1.95, CI, 1.11-3.41, p<0.05) and using mobile phones during the journey (OR = 1.90, CI, 1.10-3.27, p<0.05). Sleep related variables, long-distance commuting and night work have a major impact on lane crossing. Several interventions should be considered to reduce the level of sleepiness in night workers.

Indexed as

FatigueTransportationWork Schedule ToleranceAdultAustraliaAutomobile DrivingFemaleHumansMaleMiddle AgedMultivariate AnalysisOdds RatioRural PopulationTask Performance and Analysis

Identifiers

PMID23029278
PMCPMC3448712
OpenAlexW2047337780

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.