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Metabolic Influences on Risk for Tendon Disorders

Overview of attention for book
Cover of 'Metabolic Influences on Risk for Tendon Disorders'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Tendon Structure and Composition
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    Chapter 2 Collagen Homeostasis and Metabolism
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    Chapter 3 Blood Supply
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    Chapter 4 Tendon Innervation
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    Chapter 5 Tendon Stem Cells: Mechanobiology and Development of Tendinopathy
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    Chapter 6 Informing Stem Cell-Based Tendon Tissue Engineering Approaches with Embryonic Tendon Development
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    Chapter 7 Metabolic Influences on Risk for Tendon Disorders
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    Chapter 8 Methods of Assessing Human Tendon Metabolism and Tissue Properties in Response to Changes in Mechanical Loading
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    Chapter 9 Towards an Understanding of the Genetics of Tendinopathy
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    Chapter 10 Tendons Involvement in Congenital Metabolic Disorders
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    Chapter 11 Hyperuricemia in Tendons
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    Chapter 12 Influence of Thyroid Hormones on Tendon Homeostasis
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    Chapter 13 Sex Hormones and Tendon
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    Chapter 14 Tendon Homeostasis in Hypercholesterolemia
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    Chapter 15 How Obesity Affects Tendons?
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    Chapter 16 Does Diabetes Mellitus Affect Tendon Healing?
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    Chapter 17 Metalloproteinase Changes in Diabetes
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    Chapter 18 How High Glucose Levels Affect Tendon Homeostasis
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    Chapter 19 Rehabilitation of Tendon Problems in Patients with Diabetes Mellitus
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    Chapter 20 Inflammation in Tendon Disorders
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    Chapter 21 Deep Venous Thrombosis and Tendon Healing
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    Chapter 22 Drug-Induced Tendon Disorders
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    Chapter 23 The Effects of Glucocorticoid on Tendon and Tendon Derived Cells
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    Chapter 24 Influence of Ageing on Tendon Homeostasis
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    Chapter 25 Does Platelet-Rich Plasma Increase Tendon Metabolism?
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    Chapter 26 Metabolic Influences on Risk for Tendon Disorders
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    Chapter 27 Do Dietary Factors Influence Tendon Metabolism?
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    Chapter 28 General Overview and Summary of Concepts Regarding Tendon Disease Topics Addressed Related to Metabolic Disorders
Attention for Chapter 19: Rehabilitation of Tendon Problems in Patients with Diabetes Mellitus
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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19 X users

Citations

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Chapter title
Rehabilitation of Tendon Problems in Patients with Diabetes Mellitus
Chapter number 19
Book title
Metabolic Influences on Risk for Tendon Disorders
Published in
Advances in experimental medicine and biology, August 2016
DOI 10.1007/978-3-319-33943-6_19
Pubmed ID
Book ISBNs
978-3-31-933941-2, 978-3-31-933943-6
Authors

Jonathan Rees, Jamie E. Gaida, Karin Grävare Silbernagel, Johannes Zwerver, Joseph S. Anthony, Alex Scott, Rees, Jonathan, Gaida, Jamie E, Silbernagel, Karin Grävare, Zwerver, Johannes, Anthony, Joseph S, Scott, Alex, Gaida, Jamie E., Anthony, Joseph S.

Editors

Paul W. Ackermann, David A. Hart

Abstract

Exercise is crucial in the management of diabetes mellitus and its associated complications. However, individuals with diabetes have a heightened risk of musculoskeletal problems, including tendon pathologies. Diabetes has a significant impact on the function of tendons due to the accumulation of advanced glycation end-products in the load-bearing collagen. In addition, tendon vascularity and healing may be reduced due to diabetes-induced changes in the peripheral vascular system, and impaired synthesis of collagen and glycosaminoglycan. The current chapter presents an evidence-based discussion of considerations for the rehabilitation of tendon problems in people with diabetes. The following conditions are discussed in detail - calcific tendinopathy, tenosynovitis, tendon rupture, and non-calcifying tendinopathy. Common diabetes-related findings are presented, along with their potential impact on tendinopathy management and suggested modifications to standard tendinopathy treatment protocols. A holistic approach should be used to optimize musculotendinous function, including a comprehensive exercise prescription addressing strength, flexibility, and aerobic fitness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 19%
Student > Master 13 15%
Student > Ph. D. Student 9 11%
Student > Postgraduate 5 6%
Researcher 4 5%
Other 12 14%
Unknown 25 30%
Readers by discipline Count As %
Medicine and Dentistry 23 27%
Nursing and Health Professions 17 20%
Sports and Recreations 6 7%
Engineering 3 4%
Agricultural and Biological Sciences 2 2%
Other 4 5%
Unknown 29 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 03 January 2019.
All research outputs
#2,760,646
of 25,838,141 outputs
Outputs from Advances in experimental medicine and biology
#421
of 5,281 outputs
Outputs of similar age
#45,768
of 356,072 outputs
Outputs of similar age from Advances in experimental medicine and biology
#4
of 101 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 92% 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 356,072 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.