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Very Long (> 48 hours) Shifts and Cardiovascular Strain in Firefighters: a Theoretical Framework

Overview of attention for article published in Annals of Occupational and Environmental Medicine, March 2014
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Title
Very Long (> 48 hours) Shifts and Cardiovascular Strain in Firefighters: a Theoretical Framework
Published in
Annals of Occupational and Environmental Medicine, March 2014
DOI 10.1186/2052-4374-26-5
Pubmed ID
Authors

BongKyoo Choi, Peter L Schnall, Marnie Dobson, Javier Garcia-Rivas, HyoungRyoul Kim, Frank Zaldivar, Leslie Israel, Dean Baker

Abstract

Shift work and overtime have been implicated as important work-related risk factors for cardiovascular disease (CVD). Many firefighters who contractually work on a 24-hr work schedule, often do overtime (additional 24-hr shifts) which can result in working multiple, consecutive 24-hr shifts. Very little research has been conducted on firefighters at work that examines the impact of performing consecutive 24-hr shifts on cardiovascular physiology. Also, there have been no standard field methods for assessing in firefighters the cardiovascular changes that result from 24-hr shifts, what we call "cardiovascular strain". The objective of this study, as the first step toward elucidating the role of very long (> 48 hrs) shifts in the development of CVD in firefighters, is to develop and describe a theoretical framework for studying cardiovascular strain in firefighters on very long shifts (i.e., > 2 consecutive 24-hr shifts). The developed theoretical framework was built on an extensive literature review, our recently completed studies with firefighters in Southern California, e-mail and discussions with several firefighters on their experiences of consecutive shifts, and our recently conducted feasibility study in a small group of firefighters of several ambulatory cardiovascular strain biomarkers (heart rate, heart rate variability, blood pressure, salivary cortisol, and salivary C-reactive protein). The theoretical framework developed in this study will facilitate future field studies on consecutive 24-hr shifts and cardiovascular health in firefighters. Also it will increase our understanding of the mechanisms by which shift work or long work hours can affect CVD, particularly through CVD biological risk factors, and thereby inform policy about sustainable work and rest schedules for firefighters.

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The data shown below were collected from the profiles of 4 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Canada 1 1%
Unknown 84 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 17%
Student > Ph. D. Student 11 13%
Other 10 12%
Researcher 10 12%
Student > Bachelor 8 9%
Other 18 21%
Unknown 14 16%
Readers by discipline Count As %
Medicine and Dentistry 27 31%
Nursing and Health Professions 10 12%
Sports and Recreations 8 9%
Social Sciences 5 6%
Psychology 5 6%
Other 14 16%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 March 2016.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from Annals of Occupational and Environmental Medicine
#84
of 197 outputs
Outputs of similar age
#115,311
of 235,891 outputs
Outputs of similar age from Annals of Occupational and Environmental Medicine
#2
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 197 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 57% 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 235,891 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.