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Is dynamometry able to infer the risk of muscle mass loss in patients with COPD?

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, July 2015
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  • Average Attention Score compared to outputs of the same age
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Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

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4 Dimensions

Readers on

mendeley
68 Mendeley
Title
Is dynamometry able to infer the risk of muscle mass loss in patients with COPD?
Published in
International Journal of Chronic Obstructive Pulmonary Disease, July 2015
DOI 10.2147/copd.s69829
Pubmed ID
Authors

Marceli Rocha Leite, Dionei Ramos, Giovana Navarro Bertolini, Luiz Carlos Soares Carvalho Junior, Paula Roberta da Silva Pestana, Vanessa Ribeiro dos Santos, Ana Claudia de Souza Fortaleza, Fernanda Maria Machado Rodrigues, Ercy Mara Cipulo Ramos

Abstract

Sarcopenia is characterized by a progressive and generalized decrease of strength and muscle mass. Muscle mass loss is prevalent in patients with chronic obstructive pulmonary disease (COPD) as a result of both the disease and aging. Some methods have been proposed to assess body composition (and therefore identify muscle mass loss) in this population. Despite the high accuracy of some methods, they require sophisticated and costly equipment. The purpose of this study was to infer the occurrence of muscle mass loss measured by a sophisticated method (dual energy X-ray absorptiometry [DEXA]) using a more simple and affordable equipment (dynamometer). Fifty-seven stable subjects with COPD were evaluated for anthropometric characteristics, lung function, functional exercise capacity, body composition, and peripheral muscle strength. A binary logistic regression model verified whether knee-extension strength (measured by dynamometry) could infer muscle mass loss (from DEXA). Patients with decreased knee-extension strength were 5.93 times more likely to have muscle mass loss, regardless of sex, disease stage, and functional exercise capacity (P=0.045). Knee-extension dynamometry was able to infer muscle mass loss in patients with COPD.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 22%
Student > Bachelor 8 12%
Student > Ph. D. Student 7 10%
Student > Postgraduate 6 9%
Researcher 5 7%
Other 11 16%
Unknown 16 24%
Readers by discipline Count As %
Medicine and Dentistry 20 29%
Nursing and Health Professions 14 21%
Sports and Recreations 5 7%
Unspecified 2 3%
Social Sciences 2 3%
Other 2 3%
Unknown 23 34%

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 01 August 2015.
All research outputs
#14,818,555
of 22,817,213 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#1,440
of 2,353 outputs
Outputs of similar age
#144,845
of 263,426 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#41
of 79 outputs
Altmetric has tracked 22,817,213 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 2,353 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 33rd percentile – i.e., 33% 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 263,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.