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Fatigue in Older Adults Postmyocardial Infarction

Overview of attention for article published in Frontiers in Public Health, April 2016
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Title
Fatigue in Older Adults Postmyocardial Infarction
Published in
Frontiers in Public Health, April 2016
DOI 10.3389/fpubh.2016.00055
Pubmed ID
Authors

Patricia Barton Crane, Jimmy T. Efird, Willie Mae Abel

Abstract

The purpose of this study was to comprehensively examine putative factors that may independently contribute to fatigue and subsequent persistence of fatigue in elderly adults 6-8 months post-myocardial infarction (MI). Studies suggest cardiac function, comorbidities, daytime sleepiness, depression, anemia, interleukins, and social support are correlates of fatigue; however, no studies have systematically examined these factors 6 months post-MI in an aging population. Study participants included 49 women and men (N = 98) ages 65-91 who were 6-8 months post-MI. Data collection included the demographic health status questionnaire (heart rate, blood pressure, body mass index, and medications), fatigue-related comorbidity scale, revised Piper fatigue scale, Epworth sleepiness scale, geriatric depression scale, social provisions scale, and venous blood tests (B-natriuretic peptide, hemoglobin, and interleukin-6). Fatigue persisted after MI in 76% of older men and women with no difference by sex. Only depression scores (P trend = 0.0004) and mean arterial pressure (P trend = 0.015) were found to be linearly independent predictors for fatigue, controlling for age, Il-6 levels, and body mass index. Post-MI depression and mean arterial blood pressure are important to assess when examining fatigue post-MI in older populations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 27%
Researcher 3 10%
Student > Bachelor 3 10%
Lecturer 2 7%
Student > Doctoral Student 2 7%
Other 3 10%
Unknown 9 30%
Readers by discipline Count As %
Nursing and Health Professions 12 40%
Medicine and Dentistry 4 13%
Neuroscience 2 7%
Agricultural and Biological Sciences 1 3%
Psychology 1 3%
Other 1 3%
Unknown 9 30%
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 04 April 2023.
All research outputs
#16,186,510
of 24,620,113 outputs
Outputs from Frontiers in Public Health
#4,993
of 12,847 outputs
Outputs of similar age
#176,941
of 306,349 outputs
Outputs of similar age from Frontiers in Public Health
#52
of 73 outputs
Altmetric has tracked 24,620,113 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 12,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 55% 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 306,349 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.