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Sleep deficiency and motor vehicle crash risk in the general population: a prospective cohort study

Overview of attention for article published in BMC Medicine, March 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 4,083)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
85 news outlets
blogs
2 blogs
policy
1 policy source
twitter
30 X users
facebook
4 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor
video
2 YouTube creators

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
184 Mendeley
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Title
Sleep deficiency and motor vehicle crash risk in the general population: a prospective cohort study
Published in
BMC Medicine, March 2018
DOI 10.1186/s12916-018-1025-7
Pubmed ID
Authors

Daniel J. Gottlieb, Jeffrey M. Ellenbogen, Matt T. Bianchi, Charles A. Czeisler

Abstract

Insufficient sleep duration and obstructive sleep apnea, two common causes of sleep deficiency in adults, can result in excessive sleepiness, a well-recognized cause of motor vehicle crashes, although their contribution to crash risk in the general population remains uncertain. The objective of this study was to evaluate the relation of sleep apnea, sleep duration, and excessive sleepiness to crash risk in a community-dwelling population. This was a prospective observational cohort study nested within the Sleep Heart Health Study, a community-based study of the health consequences of sleep apnea. The participants were 1745 men and 1456 women aged 40-89 years. Sleep apnea was measured by home polysomnography and questionnaires were used to assess usual sleep duration and daytime sleepiness. A follow-up questionnaire 2 years after baseline ascertained driving habits and motor vehicle crash history. Logistic regression analysis was used to examine the relation of sleep apnea and sleep duration at baseline to the occurrence of motor vehicle crashes during the year preceding the follow-up visit, adjusting for relevant covariates. The population-attributable fraction of motor vehicle crashes was estimated from the sample proportion of motor vehicle crashes and the adjusted odds ratios for motor vehicle crash within each exposure category. Among 3201 evaluable participants, 222 (6.9%) reported at least one motor vehicle crash during the prior year. A higher apnea-hypopnea index (p < 0.01), fewer hours of sleep (p = 0.04), and self-reported excessive sleepiness (p < 0.01) were each significantly associated with crash risk. Severe sleep apnea was associated with a 123% increased crash risk, compared to no sleep apnea. Sleeping 6 hours per night was associated with a 33% increased crash risk, compared to sleeping 7 or 8 hours per night. These associations were present even in those who did not report excessive sleepiness. The population-attributable fraction of motor vehicle crashes was 10% due to sleep apnea and 9% due to sleep duration less than 7 hours. Sleep deficiency due to either sleep apnea or insufficient sleep duration is strongly associated with motor vehicle crashes in the general population, independent of self-reported excessive sleepiness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 184 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 17%
Student > Master 21 11%
Researcher 19 10%
Student > Ph. D. Student 15 8%
Student > Doctoral Student 12 7%
Other 19 10%
Unknown 67 36%
Readers by discipline Count As %
Medicine and Dentistry 34 18%
Nursing and Health Professions 14 8%
Engineering 14 8%
Psychology 14 8%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 28 15%
Unknown 76 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 698. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2024.
All research outputs
#30,242
of 25,744,802 outputs
Outputs from BMC Medicine
#44
of 4,083 outputs
Outputs of similar age
#683
of 349,108 outputs
Outputs of similar age from BMC Medicine
#1
of 47 outputs
Altmetric has tracked 25,744,802 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,083 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.0. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,108 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.