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Fatigue and sleepiness determine respiratory quality of life among veterans evaluated for sleep apnea

Overview of attention for article published in Health and Quality of Life Outcomes, March 2017
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Title
Fatigue and sleepiness determine respiratory quality of life among veterans evaluated for sleep apnea
Published in
Health and Quality of Life Outcomes, March 2017
DOI 10.1186/s12955-017-0624-x
Pubmed ID
Authors

Denis Vinnikov, Paul D. Blanc, Alaena Alilin, Moshe Zutler, Jon-Erik C. Holty

Abstract

In those with symptoms indicative of obstructive sleep apnea (OSA), respiratory-specific health-related quality of life (HRQL) may be an important patient-centered outcome. The aim of this study was to assess the associations between sleepiness, fatigue, and impaired general and respiratory-specific HRQL among persons with suspected OSA. We evaluated military veterans consecutively referred for suspected OSA with sleep studies yielding apnea-hypopnea index (AHI) values. They also completed the sleepiness (Epworth Sleepiness Scale [ESS]), and fatigue (Fatigue Severity Scale [FSS]) questionnaires, as well as two HRQL instruments (the generic Short-Form SF-12v2 yielding the Physical Component Scale [PCS] and the respiratory-specific Airways Questionnaire [AQ]-20R). Multiple linear regression tested the associations between ESS and FSS (standardized as Z scores for scaling comparability) with AQ-20R, accounting for AHI, SF-12v2-PCS and comorbid respiratory conditions other than OSA. We studied 1578 veterans (median age 61.1 [IQR 16.8] years; 93.9% males). Of these, 823 (52%) met AHI criteria for moderate to severe OSA (AHI ≥15/h). The majority reported excessive daytime sleepiness (53%; median ESS 11 [IQR 9]) or fatigue (61%; median FSS 42 [IQR 23]). The median AQ-20R was 4 [IQR 1-8]. Controlling for AHI, SF-12v2-PCS, respiratory co-morbid conditions, body mass index, and demographics, both ESS and FSS were significantly associated with poorer AQ-20R: for each; ESS, 1.6 points (95% CI 1.4-1.9), and for FSS, 2.5 points (95% CI, 2.3-2.7). Greater daytime sleepiness and fatigue are associated with poorer respiratory-specific HRQL, over and above the effects of OSA, respiratory comorbidity, and generic physical HRQL.

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The data shown below were collected from the profiles of 2 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Student > Bachelor 7 11%
Researcher 5 8%
Student > Doctoral Student 4 6%
Student > Ph. D. Student 4 6%
Other 9 14%
Unknown 26 40%
Readers by discipline Count As %
Medicine and Dentistry 18 28%
Nursing and Health Professions 8 12%
Environmental Science 2 3%
Engineering 2 3%
Business, Management and Accounting 1 2%
Other 4 6%
Unknown 30 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 April 2017.
All research outputs
#14,927,127
of 22,959,818 outputs
Outputs from Health and Quality of Life Outcomes
#1,271
of 2,183 outputs
Outputs of similar age
#184,559
of 307,966 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#30
of 62 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,183 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 307,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.