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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Elastic band resistance training influences transforming growth factor-ß receptor I mRNA expression in peripheral mononuclear cells of institutionalised older adults: the Vienna Active Ageing Study (VAAS)
|
|---|---|
| Published in |
Immunity & Ageing, June 2016
|
| DOI | 10.1186/s12979-016-0077-9 |
| Pubmed ID | |
| Authors |
Barbara Schober-Halper, Marlene Hofmann, Stefan Oesen, Bernhard Franzke, Thomas Wolf, Eva-Maria Strasser, Norbert Bachl, Michael Quittan, Karl-Heinz Wagner, Barbara Wessner |
| Abstract |
Ageing, inactivity and obesity are associated with chronic low-grade inflammation contributing to a variety of lifestyle-related diseases. Transforming growth factor-β (TGF-β) is a multimodal protein with various cellular functions ranging from tissue remodelling to the regulation of inflammation and immune functions. While it is generally accepted that aerobic exercise exerts beneficial effects on several aspects of immune functions, even in older adults, the effect of resistance training remains unclear. The aim of this study was to investigate whether progressive resistance training (6 months) with or without nutritional supplementation (protein and vitamins) would influence circulating C-reactive protein and TGF-β levels as well as TGF-β signalling in peripheral mononuclear cells (PBMCs) of institutionalised adults with a median age of 84.5 (65.0-97.4) years. Elastic band resistance training significantly improved performance as shown by the arm-lifting test (p = 0.007), chair stand test (p = 0.001) and 6-min walking test (p = 0.026). These results were paralleled by a reduction in TGF-β receptor I (TGF-βRI) mRNA expression in PBMCs (p = 0.006), while circulating inflammatory markers were unaffected. Protein and vitamin supplementation did not provoke any additional effects. Interestingly, muscular endurance of upper and lower body and aerobic performance at baseline were negatively associated with changes in circulating TGF-β at the early phase of the study. Furthermore, drop-outs of the study were characterised not only by lower physical performance but also higher TGF-β and TGF-βRI mRNA expression, and lower miRNA-21 expression. Progressive resistance training with elastic bands did not influence chronic low-grade inflammation but potentially affected TGF-β signalling in PBMCs through altered TGF-βRI mRNA expression. There appears to be an association between physical performance and TGF-β expression in PBMCs of older adults, in which the exact mechanisms need to be clarified. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
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 % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 16% |
| Student > Doctoral Student | 12 | 14% |
| Student > Bachelor | 9 | 10% |
| Researcher | 7 | 8% |
| Student > Postgraduate | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 24 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 15 | 17% |
| Nursing and Health Professions | 11 | 13% |
| Medicine and Dentistry | 10 | 12% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Agricultural and Biological Sciences | 6 | 7% |
| Other | 7 | 8% |
| Unknown | 29 | 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 15 December 2016.
All research outputs
#14,856,861
of 22,880,230 outputs
Outputs from Immunity & Ageing
#220
of 374 outputs
Outputs of similar age
#212,564
of 351,542 outputs
Outputs of similar age from Immunity & Ageing
#6
of 6 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 374 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 35th percentile – i.e., 35% 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 351,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.